The present disclosure relates to various surgical systems. Surgical procedures are typically performed in surgical operating theaters or rooms in a healthcare facility such as, for example, a hospital. A sterile field is typically created around the patient. The sterile field may include the scrubbed team members, who are properly attired, and all furniture and fixtures in the area. Various surgical devices and systems are utilized in performance of a surgical procedure.
In one aspect the present disclosure provides a method of adjusting a staple parameter of a surgical stapling instrument. The method comprising: determining, by a control circuit of the surgical stapling instrument, a first stroke length for a first staple driver of the surgical stapling instrument to drive a first row of staples of a circular stapling head assembly of the surgical stapling instrument; detecting, by the control circuit, a malformed staple in the first row of staples; adjusting, by the control circuit, the staple parameter, based on the detection of the malformed staple; and determining, by the control circuit, a second stroke length for a second staple driver of the surgical stapling instrument to drive a second row of staples of the circular stapling head assembly.
In another aspect the present disclosure provides a method of adjusting a cutting parameter of a surgical stapling instrument. The method comprising: receiving, by a control circuit of the surgical stapling instrument, a sensor output signal from a sensor of the surgical stapling instrument; determining, by the control circuit, a parameter associated with clamping of an end effector of the surgical stapling instrument, based on the sensor output signal; and controlling, by the control circuit, a torque applied to a cutting member of the surgical stapling instrument, wherein the motor moves the cutting member between first position and a second position by applying the torque to the cutting member.
In another aspect the present disclosure provides a method of controlling a surgical stapling instrument. The method comprising: receiving, by a control circuit of the surgical stapling instrument, a sensor output signal from a first sensor of the surgical stapling instrument; determining, by the control circuit, a parameter associated with operation of the surgical stapling instrument, based on the sensor output signal; determining, by the control circuit, an anvil gap of an anvil of the surgical stapling instrument, wherein the anvil clamps tissue; comparing, by the control circuit, the anvil gap to a predetermined gap; and executing, by the control circuit, an electronic lockout to prevent actuation of the surgical stapling instrument based on the comparison and the determined parameter.
The various aspects described herein, both as to organization and methods of operation, together with further objects and advantages thereof, may best be understood by reference to the following description, taken in conjunction with the accompanying drawings as follows.
Applicant of the present application owns the following U.S. patent applications, filed on Dec. 4, 2018, the disclosure of each of which is herein incorporated by reference in its entirety:
Applicant of the present application owns the following U.S. patent applications, filed on Nov. 6, 2018, the disclosure of each of which is herein incorporated by reference in its entirety:
Applicant of the present application owns the following U.S. patent applications that were filed on Oct. 26, 2018, the disclosure of each of which is herein incorporated by reference in its entirety:
Applicant of the present application owns the following U.S. patent applications, filed on Aug. 28, 2018, the disclosure of each of which is herein incorporated by reference in its entirety:
Applicant of the present application owns the following U.S. patent applications, filed on Aug. 24, 2018, the disclosure of each of which is herein incorporated by reference in its entirety:
Applicant of the present application owns the following U.S. patent applications, filed on Jun. 29, 2018, the disclosure of each of which is herein incorporated by reference in its entirety:
Applicant of the present application owns the following U.S. patent applications, filed on Mar. 29, 2018, the disclosure of each of which is herein incorporated by reference in its entirety:
Applicant of the present application owns the following U.S. Provisional patent applications, filed on Mar. 8, 2018, the disclosure of each of which is herein incorporated by reference in its entirety:
Before explaining various aspects of surgical devices and generators in detail, it should be noted that the illustrative examples are not limited in application or use to the details of construction and arrangement of parts illustrated in the accompanying drawings and description. The illustrative examples may be implemented or incorporated in other aspects, variations and modifications, and may be practiced or carried out in various ways. Further, unless otherwise indicated, the terms and expressions employed herein have been chosen for the purpose of describing the illustrative examples for the convenience of the reader and are not for the purpose of limitation thereof. Also, it will be appreciated that one or more of the following-described aspects, expressions of aspects, and/or examples, can be combined with any one or more of the other following-described aspects, expressions of aspects and/or examples.
Referring to
In various aspects, the intelligent instruments 112 as described herein with reference to
Other types of robotic systems can be readily adapted for use with the surgical system 102. Various examples of robotic systems and surgical tools that are suitable for use with the present disclosure are described in U.S. Provisional Patent Application Ser. No. 62/611,339, titled ROBOT ASSISTED SURGICAL PLATFORM, filed Dec. 28, 2017, the disclosure of which is herein incorporated by reference in its entirety.
Various examples of cloud-based analytics that are performed by the cloud 104, and are suitable for use with the present disclosure, are described in U.S. Provisional Patent Application Ser. No. 62/611,340, titled CLOUD-BASED MEDICAL ANALYTICS, filed Dec. 28, 2017, the disclosure of which is herein incorporated by reference in its entirety.
In various aspects, the imaging device 124 includes at least one image sensor and one or more optical components. Suitable image sensors include, but are not limited to, Charge-Coupled Device (CCD) sensors and Complementary Metal-Oxide Semiconductor (CMOS) sensors.
The optical components of the imaging device 124 may include one or more illumination sources and/or one or more lenses. The one or more illumination sources may be directed to illuminate portions of the surgical field. The one or more image sensors may receive light reflected or refracted from the surgical field, including light reflected or refracted from tissue and/or surgical instruments.
The one or more illumination sources may be configured to radiate electromagnetic energy in the visible spectrum as well as the invisible spectrum. The visible spectrum, sometimes referred to as the optical spectrum or luminous spectrum, is that portion of the electromagnetic spectrum that is visible to (i.e., can be detected by) the human eye and may be referred to as visible light or simply light. A typical human eye will respond to wavelengths in air that are from about 380 nm to about 750 nm.
The invisible spectrum (i.e., the non-luminous spectrum) is that portion of the electromagnetic spectrum that lies below and above the visible spectrum (i.e., wavelengths below about 380 nm and above about 750 nm). The invisible spectrum is not detectable by the human eye. Wavelengths greater than about 750 nm are longer than the red visible spectrum, and they become invisible infrared (IR), microwave, and radio electromagnetic radiation. Wavelengths less than about 380 nm are shorter than the violet spectrum, and they become invisible ultraviolet, x-ray, and gamma ray electromagnetic radiation.
In various aspects, the imaging device 124 is configured for use in a minimally invasive procedure. Examples of imaging devices suitable for use with the present disclosure include, but not limited to, an arthroscope, angioscope, bronchoscope, choledochoscope, colonoscope, cytoscope, duodenoscope, enteroscope, esophagogastro-duodenoscope (gastroscope), endoscope, laryngoscope, nasopharyngo-neproscope, sigmoidoscope, thoracoscope, and ureteroscope.
In one aspect, the imaging device employs multi-spectrum monitoring to discriminate topography and underlying structures. A multi-spectral image is one that captures image data within specific wavelength ranges across the electromagnetic spectrum. The wavelengths may be separated by filters or by the use of instruments that are sensitive to particular wavelengths, including light from frequencies beyond the visible light range, e.g., IR and ultraviolet. Spectral imaging can allow extraction of additional information the human eye fails to capture with its receptors for red, green, and blue. The use of multi-spectral imaging is described in greater detail under the heading “Advanced Imaging Acquisition Module” in U.S. Provisional Patent Application Ser. No. 62/611,341, titled INTERACTIVE SURGICAL PLATFORM, filed Dec. 28, 2017, the disclosure of which is herein incorporated by reference in its entirety. Multi-spectrum monitoring can be a useful tool in relocating a surgical field after a surgical task is completed to perform one or more of the previously described tests on the treated tissue.
It is axiomatic that strict sterilization of the operating room and surgical equipment is required during any surgery. The strict hygiene and sterilization conditions required in a “surgical theater,” i.e., an operating or treatment room, necessitate the highest possible sterility of all medical devices and equipment. Part of that sterilization process is the need to sterilize anything that comes in contact with the patient or penetrates the sterile field, including the imaging device 124 and its attachments and components. It will be appreciated that the sterile field may be considered a specified area, such as within a tray or on a sterile towel, that is considered free of microorganisms, or the sterile field may be considered an area, immediately around a patient, who has been prepared for a surgical procedure. The sterile field may include the scrubbed team members, who are properly attired, and all furniture and fixtures in the area.
In various aspects, the visualization system 108 includes one or more imaging sensors, one or more image-processing units, one or more storage arrays, and one or more displays that are strategically arranged with respect to the sterile field, as illustrated in
As illustrated in
In one aspect, the hub 106 is also configured to route a diagnostic input or feedback entered by a non-sterile operator at the visualization tower 111 to the primary display 119 within the sterile field, where it can be viewed by a sterile operator at the operating table. In one example, the input can be in the form of a modification to the snapshot displayed on the non-sterile display 107 or 109, which can be routed to the primary display 119 by the hub 106.
Referring to
Referring now to
During a surgical procedure, energy application to tissue, for sealing and/or cutting, is generally associated with smoke evacuation, suction of excess fluid, and/or irrigation of the tissue. Fluid, power, and/or data lines from different sources are often entangled during the surgical procedure. Valuable time can be lost addressing this issue during a surgical procedure. Detangling the lines may necessitate disconnecting the lines from their respective modules, which may require resetting the modules. The hub modular enclosure 136 offers a unified environment for managing the power, data, and fluid lines, which reduces the frequency of entanglement between such lines.
Aspects of the present disclosure present a surgical hub for use in a surgical procedure that involves energy application to tissue at a surgical site. The surgical hub includes a hub enclosure and a combo generator module slidably receivable in a docking station of the hub enclosure. The docking station includes data and power contacts. The combo generator module includes two or more of an ultrasonic energy generator component, a bipolar RF energy generator component, and a monopolar RF energy generator component that are housed in a single unit. In one aspect, the combo generator module also includes a smoke evacuation component, at least one energy delivery cable for connecting the combo generator module to a surgical instrument, at least one smoke evacuation component configured to evacuate smoke, fluid, and/or particulates generated by the application of therapeutic energy to the tissue, and a fluid line extending from the remote surgical site to the smoke evacuation component.
In one aspect, the fluid line is a first fluid line and a second fluid line extends from the remote surgical site to a suction and irrigation module slidably received in the hub enclosure. In one aspect, the hub enclosure comprises a fluid interface.
Certain surgical procedures may require the application of more than one energy type to the tissue. One energy type may be more beneficial for cutting the tissue, while another different energy type may be more beneficial for sealing the tissue. For example, a bipolar generator can be used to seal the tissue while an ultrasonic generator can be used to cut the sealed tissue. Aspects of the present disclosure present a solution where a hub modular enclosure 136 is configured to accommodate different generators, and facilitate an interactive communication therebetween. One of the advantages of the hub modular enclosure 136 is enabling the quick removal and/or replacement of various modules.
Aspects of the present disclosure present a modular surgical enclosure for use in a surgical procedure that involves energy application to tissue. The modular surgical enclosure includes a first energy-generator module, configured to generate a first energy for application to the tissue, and a first docking station comprising a first docking port that includes first data and power contacts, wherein the first energy-generator module is slidably movable into an electrical engagement with the power and data contacts and wherein the first energy-generator module is slidably movable out of the electrical engagement with the first power and data contacts.
Further to the above, the modular surgical enclosure also includes a second energy-generator module configured to generate a second energy, different than the first energy, for application to the tissue, and a second docking station comprising a second docking port that includes second data and power contacts, wherein the second energy-generator module is slidably movable into an electrical engagement with the power and data contacts, and wherein the second energy-generator module is slidably movable out of the electrical engagement with the second power and data contacts.
In addition, the modular surgical enclosure also includes a communication bus between the first docking port and the second docking port, configured to facilitate communication between the first energy-generator module and the second energy-generator module.
Referring to
In one aspect, the hub modular enclosure 136 comprises a modular power and communication backplane 149 with external and wireless communication headers to enable the removable attachment of the modules 140, 126, 128 and interactive communication therebetween.
In one aspect, the hub modular enclosure 136 includes docking stations, or drawers, 151, herein also referred to as drawers, which are configured to slidably receive the modules 140, 126, 128.
In various aspects, the smoke evacuation module 126 includes a fluid line 154 that conveys captured/collected smoke and/or fluid away from a surgical site and to, for example, the smoke evacuation module 126. Vacuum suction originating from the smoke evacuation module 126 can draw the smoke into an opening of a utility conduit at the surgical site. The utility conduit, coupled to the fluid line, can be in the form of a flexible tube terminating at the smoke evacuation module 126. The utility conduit and the fluid line define a fluid path extending toward the smoke evacuation module 126 that is received in the hub enclosure 136.
In various aspects, the suction/irrigation module 128 is coupled to a surgical tool comprising an aspiration fluid line and a suction fluid line. In one example, the aspiration and suction fluid lines are in the form of flexible tubes extending from the surgical site toward the suction/irrigation module 128. One or more drive systems can be configured to cause irrigation and aspiration of fluids to and from the surgical site.
In one aspect, the surgical tool includes a shaft having an end effector at a distal end thereof and at least one energy treatment associated with the end effector, an aspiration tube, and an irrigation tube. The aspiration tube can have an inlet port at a distal end thereof and the aspiration tube extends through the shaft. Similarly, an irrigation tube can extend through the shaft and can have an inlet port in proximity to the energy deliver implement. The energy deliver implement is configured to deliver ultrasonic and/or RF energy to the surgical site and is coupled to the generator module 140 by a cable extending initially through the shaft.
The irrigation tube can be in fluid communication with a fluid source, and the aspiration tube can be in fluid communication with a vacuum source. The fluid source and/or the vacuum source can be housed in the suction/irrigation module 128. In one example, the fluid source and/or the vacuum source can be housed in the hub enclosure 136 separately from the suction/irrigation module 128. In such example, a fluid interface can be configured to connect the suction/irrigation module 128 to the fluid source and/or the vacuum source.
In one aspect, the modules 140, 126, 128 and/or their corresponding docking stations on the hub modular enclosure 136 may include alignment features that are configured to align the docking ports of the modules into engagement with their counterparts in the docking stations of the hub modular enclosure 136. For example, as illustrated in
In some aspects, the drawers 151 of the hub modular enclosure 136 are the same, or substantially the same size, and the modules are adjusted in size to be received in the drawers 151. For example, the side brackets 155 and/or 156 can be larger or smaller depending on the size of the module. In other aspects, the drawers 151 are different in size and are each designed to accommodate a particular module.
Furthermore, the contacts of a particular module can be keyed for engagement with the contacts of a particular drawer to avoid inserting a module into a drawer with mismatching contacts.
As illustrated in
In various aspects, the imaging module 138 comprises an integrated video processor and a modular light source and is adapted for use with various imaging devices. In one aspect, the imaging device is comprised of a modular housing that can be assembled with a light source module and a camera module. The housing can be a disposable housing. In at least one example, the disposable housing is removably coupled to a reusable controller, a light source module, and a camera module. The light source module and/or the camera module can be selectively chosen depending on the type of surgical procedure. In one aspect, the camera module comprises a CCD sensor. In another aspect, the camera module comprises a CMOS sensor. In another aspect, the camera module is configured for scanned beam imaging. Likewise, the light source module can be configured to deliver a white light or a different light, depending on the surgical procedure.
During a surgical procedure, removing a surgical device from the surgical field and replacing it with another surgical device that includes a different camera or a different light source can be inefficient. Temporarily losing sight of the surgical field may lead to undesirable consequences. The module imaging device of the present disclosure is configured to permit the replacement of a light source module or a camera module midstream during a surgical procedure, without having to remove the imaging device from the surgical field.
In one aspect, the imaging device comprises a tubular housing that includes a plurality of channels. A first channel is configured to slidably receive the camera module, which can be configured for a snap-fit engagement with the first channel. A second channel is configured to slidably receive the light source module, which can be configured for a snap-fit engagement with the second channel. In another example, the camera module and/or the light source module can be rotated into a final position within their respective channels. A threaded engagement can be employed in lieu of the snap-fit engagement.
In various examples, multiple imaging devices are placed at different positions in the surgical field to provide multiple views. The imaging module 138 can be configured to switch between the imaging devices to provide an optimal view. In various aspects, the imaging module 138 can be configured to integrate the images from the different imaging device.
Various image processors and imaging devices suitable for use with the present disclosure are described in U.S. Pat. No. 7,995,045, titled COMBINED SBI AND CONVENTIONAL IMAGE PROCESSOR, which issued on Aug. 9, 2011, which is herein incorporated by reference in its entirety. In addition, U.S. Pat. No. 7,982,776, titled SBI MOTION ARTIFACT REMOVAL APPARATUS AND METHOD, which issued on Jul. 19, 2011, which is herein incorporated by reference in its entirety, describes various systems for removing motion artifacts from image data. Such systems can be integrated with the imaging module 138. Furthermore, U.S. Patent Application Publication No. 2011/0306840, titled CONTROLLABLE MAGNETIC SOURCE TO FIXTURE INTRACORPOREAL APPARATUS, which published on Dec. 15, 2011, and U.S. Patent Application Publication No. 2014/0243597, titled SYSTEM FOR PERFORMING A MINIMALLY INVASIVE SURGICAL PROCEDURE, which published on Aug. 28, 2014, each of which is herein incorporated by reference in its entirety.
Modular devices 1a-1n located in the operating theater may be coupled to the modular communication hub 203. The network hub 207 and/or the network switch 209 may be coupled to a network router 211 to connect the devices 1a-1n to the cloud 204 or the local computer system 210. Data associated with the devices 1a-1n may be transferred to cloud-based computers via the router for remote data processing and manipulation. Data associated with the devices 1a-1n may also be transferred to the local computer system 210 for local data processing and manipulation. Modular devices 2a-2m located in the same operating theater also may be coupled to a network switch 209. The network switch 209 may be coupled to the network hub 207 and/or the network router 211 to connect to the devices 2a-2m to the cloud 204. Data associated with the devices 2a-2n may be transferred to the cloud 204 via the network router 211 for data processing and manipulation. Data associated with the devices 2a-2m may also be transferred to the local computer system 210 for local data processing and manipulation.
It will be appreciated that the surgical data network 201 may be expanded by interconnecting multiple network hubs 207 and/or multiple network switches 209 with multiple network routers 211. The modular communication hub 203 may be contained in a modular control tower configured to receive multiple devices 1a-1n/2a-2m. The local computer system 210 also may be contained in a modular control tower. The modular communication hub 203 is connected to a display 212 to display images obtained by some of the devices 1a-1n/2a-2m, for example during surgical procedures. In various aspects, the devices 1a-1n/2a-2m may include, for example, various modules such as an imaging module 138 coupled to an endoscope, a generator module 140 coupled to an energy-based surgical device, a smoke evacuation module 126, a suction/irrigation module 128, a communication module 130, a processor module 132, a storage array 134, a surgical device coupled to a display, and/or a non-contact sensor module, among other modular devices that may be connected to the modular communication hub 203 of the surgical data network 201.
In one aspect, the surgical data network 201 may comprise a combination of network hub(s), network switch(es), and network router(s) connecting the devices 1a-1n/2a-2m to the cloud. Any one of or all of the devices 1a-1n/2a-2m coupled to the network hub or network switch may collect data in real time and transfer the data to cloud computers for data processing and manipulation. It will be appreciated that cloud computing relies on sharing computing resources rather than having local servers or personal devices to handle software applications. The word “cloud” may be used as a metaphor for “the Internet,” although the term is not limited as such. Accordingly, the term “cloud computing” may be used herein to refer to “a type of Internet-based computing,” where different services—such as servers, storage, and applications—are delivered to the modular communication hub 203 and/or computer system 210 located in the surgical theater (e.g., a fixed, mobile, temporary, or field operating room or space) and to devices connected to the modular communication hub 203 and/or computer system 210 through the Internet. The cloud infrastructure may be maintained by a cloud service provider. In this context, the cloud service provider may be the entity that coordinates the usage and control of the devices 1a-1n/2a-2m located in one or more operating theaters. The cloud computing services can perform a large number of calculations based on the data gathered by smart surgical instruments, robots, and other computerized devices located in the operating theater. The hub hardware enables multiple devices or connections to be connected to a computer that communicates with the cloud computing resources and storage.
Applying cloud computer data processing techniques on the data collected by the devices 1a-1n/2a-2m, the surgical data network provides improved surgical outcomes, reduced costs, and improved patient satisfaction. At least some of the devices 1a-1n/2a-2m may be employed to view tissue states to assess leaks or perfusion of sealed tissue after a tissue sealing and cutting procedure. At least some of the devices 1a-1n/2a-2m may be employed to identify pathology, such as the effects of diseases, using the cloud-based computing to examine data including images of samples of body tissue for diagnostic purposes. This includes localization and margin confirmation of tissue and phenotypes. At least some of the devices 1a-1n/2a-2m may be employed to identify anatomical structures of the body using a variety of sensors integrated with imaging devices and techniques such as overlaying images captured by multiple imaging devices. The data gathered by the devices 1a-1n/2a-2m, including image data, may be transferred to the cloud 204 or the local computer system 210 or both for data processing and manipulation including image processing and manipulation. The data may be analyzed to improve surgical procedure outcomes by determining if further treatment, such as the application of endoscopic intervention, emerging technologies, a targeted radiation, targeted intervention, and precise robotics to tissue-specific sites and conditions, may be pursued. Such data analysis may further employ outcome analytics processing, and using standardized approaches may provide beneficial feedback to either confirm surgical treatments and the behavior of the surgeon or suggest modifications to surgical treatments and the behavior of the surgeon.
In one implementation, the operating theater devices 1a-1n may be connected to the modular communication hub 203 over a wired channel or a wireless channel depending on the configuration of the devices 1a-1n to a network hub. The network hub 207 may be implemented, in one aspect, as a local network broadcast device that works on the physical layer of the Open System Interconnection (OSI) model. The network hub provides connectivity to the devices 1a-1n located in the same operating theater network. The network hub 207 collects data in the form of packets and sends them to the router in half duplex mode. The network hub 207 does not store any media access control/Internet Protocol (MAC/IP) to transfer the device data. Only one of the devices 1a-1n can send data at a time through the network hub 207. The network hub 207 has no routing tables or intelligence regarding where to send information and broadcasts all network data across each connection and to a remote server 213 (
In another implementation, the operating theater devices 2a-2m may be connected to a network switch 209 over a wired channel or a wireless channel. The network switch 209 works in the data link layer of the OSI model. The network switch 209 is a multicast device for connecting the devices 2a-2m located in the same operating theater to the network. The network switch 209 sends data in the form of frames to the network router 211 and works in full duplex mode. Multiple devices 2a-2m can send data at the same time through the network switch 209. The network switch 209 stores and uses MAC addresses of the devices 2a-2m to transfer data.
The network hub 207 and/or the network switch 209 are coupled to the network router 211 for connection to the cloud 204. The network router 211 works in the network layer of the OSI model. The network router 211 creates a route for transmitting data packets received from the network hub 207 and/or network switch 211 to cloud-based computer resources for further processing and manipulation of the data collected by any one of or all the devices 1a-1n/2a-2m. The network router 211 may be employed to connect two or more different networks located in different locations, such as, for example, different operating theaters of the same healthcare facility or different networks located in different operating theaters of different healthcare facilities. The network router 211 sends data in the form of packets to the cloud 204 and works in full duplex mode. Multiple devices can send data at the same time. The network router 211 uses IP addresses to transfer data.
In one example, the network hub 207 may be implemented as a USB hub, which allows multiple USB devices to be connected to a host computer. The USB hub may expand a single USB port into several tiers so that there are more ports available to connect devices to the host system computer. The network hub 207 may include wired or wireless capabilities to receive information over a wired channel or a wireless channel. In one aspect, a wireless USB short-range, high-bandwidth wireless radio communication protocol may be employed for communication between the devices 1a-1n and devices 2a-2m located in the operating theater.
In other examples, the operating theater devices 1a-1n/2a-2m may communicate to the modular communication hub 203 via Bluetooth wireless technology standard for exchanging data over short distances (using short-wavelength UHF radio waves in the ISM band from 2.4 to 2.485 GHz) from fixed and mobile devices and building personal area networks (PANs). In other aspects, the operating theater devices 1a-1n/2a-2m may communicate to the modular communication hub 203 via a number of wireless or wired communication standards or protocols, including but not limited to Wi-Fi (IEEE 802.11 family), WiMAX (IEEE 802.16 family), IEEE 802.20, long-term evolution (LIE), and Ev-DO, HSPA+, HSDPA+, HSUPA+, EDGE, GSM, GPRS, CDMA, TDMA, DECT, and Ethernet derivatives thereof, as well as any other wireless and wired protocols that are designated as 3G, 4G, 5G, and beyond. The computing module may include a plurality of communication modules. For instance, a first communication module may be dedicated to shorter-range wireless communications such as Wi-Fi and Bluetooth, and a second communication module may be dedicated to longer-range wireless communications such as GPS, EDGE, GPRS, CDMA, WiMAX, LTE, Ev-DO, and others.
The modular communication hub 203 may serve as a central connection for one or all of the operating theater devices 1a-1n/2a-2m and handles a data type known as frames. Frames carry the data generated by the devices 1a-1n/2a-2m. When a frame is received by the modular communication hub 203, it is amplified and transmitted to the network router 211, which transfers the data to the cloud computing resources by using a number of wireless or wired communication standards or protocols, as described herein.
The modular communication hub 203 can be used as a standalone device or be connected to compatible network hubs and network switches to form a larger network. The modular communication hub 203 is generally easy to install, configure, and maintain, making it a good option for networking the operating theater devices 1a-1n/2a-2m.
The surgical hub 206 employs a non-contact sensor module 242 to measure the dimensions of the operating theater and generate a map of the surgical theater using either ultrasonic or laser-type non-contact measurement devices. An ultrasound-based non-contact sensor module scans the operating theater by transmitting a burst of ultrasound and receiving the echo when it bounces off the perimeter walls of an operating theater as described under the heading “Surgical Hub Spatial Awareness Within an Operating Room” in U.S. Provisional Patent Application Ser. No. 62/611,341, titled INTERACTIVE SURGICAL PLATFORM, filed Dec. 28, 2017, which is herein incorporated by reference in its entirety, in which the sensor module is configured to determine the size of the operating theater and to adjust Bluetooth-pairing distance limits. A laser-based non-contact sensor module scans the operating theater by transmitting laser light pulses, receiving laser light pulses that bounce off the perimeter walls of the operating theater, and comparing the phase of the transmitted pulse to the received pulse to determine the size of the operating theater and to adjust Bluetooth pairing distance limits, for example.
The computer system 210 comprises a processor 244 and a network interface 245. The processor 244 is coupled to a communication module 247, storage 248, memory 249, non-volatile memory 250, and input/output interface 251 via a system bus. The system bus can be any of several types of bus structure(s) including the memory bus or memory controller, a peripheral bus or external bus, and/or a local bus using any variety of available bus architectures including, but not limited to, 9-bit bus, Industrial Standard Architecture (ISA), Micro-Charmel Architecture (MSA), Extended ISA (EISA), Intelligent Drive Electronics (IDE), VESA Local Bus (VLB), Peripheral Component Interconnect (PCI), USB, Advanced Graphics Port (AGP), Personal Computer Memory Card International Association bus (PCMCIA), Small Computer Systems Interface (SCSI), or any other proprietary bus.
The processor 244 may be any single-core or multicore processor such as those known under the trade name ARM Cortex by Texas Instruments. In one aspect, the processor may be an LM4F230H5QR ARM Cortex-M4F Processor Core, available from Texas Instruments, for example, comprising an on-chip memory of 256 KB single-cycle flash memory, or other non-volatile memory, up to 40 MHz, a prefetch buffer to improve performance above 40 MHz, a 32 KB single-cycle serial random access memory (SRAM), an internal read-only memory (ROM) loaded with StellarisWare® software, a 2 KB electrically erasable programmable read-only memory (EEPROM), and/or one or more pulse width modulation (PWM) modules, one or more quadrature encoder inputs (QEI) analogs, one or more 12-bit analog-to-digital converters (ADCs) with 12 analog input channels, details of which are available for the product datasheet.
In one aspect, the processor 244 may comprise a safety controller comprising two controller-based families such as TMS570 and RM4x, known under the trade name Hercules ARM Cortex R4, also by Texas Instruments. The safety controller may be configured specifically for IEC 61508 and ISO 26262 safety critical applications, among others, to provide advanced integrated safety features while delivering scalable performance, connectivity, and memory options.
The system memory includes volatile memory and non-volatile memory. The basic input/output system (BIOS), containing the basic routines to transfer information between elements within the computer system, such as during start-up, is stored in non-volatile memory. For example, the non-volatile memory can include ROM, programmable ROM (PROM), electrically programmable ROM (EPROM), EEPROM, or flash memory. Volatile memory includes random-access memory (RAM), which acts as external cache memory. Moreover, RAM is available in many forms such as SRAM, dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM (DRRAM).
The computer system 210 also includes removable/non-removable, volatile/non-volatile computer storage media, such as for example disk storage. The disk storage includes, but is not limited to, devices like a magnetic disk drive, floppy disk drive, tape drive, Jaz drive, Zip drive, LS-60 drive, flash memory card, or memory stick. In addition, the disk storage can include storage media separately or in combination with other storage media including, but not limited to, an optical disc drive such as a compact disc ROM device (CD-ROM), compact disc recordable drive (CD-R Drive), compact disc rewritable drive (CD-RW Drive), or a digital versatile disc ROM drive (DVD-ROM). To facilitate the connection of the disk storage devices to the system bus, a removable or non-removable interface may be employed.
It is to be appreciated that the computer system 210 includes software that acts as an intermediary between users and the basic computer resources described in a suitable operating environment. Such software includes an operating system. The operating system, which can be stored on the disk storage, acts to control and allocate resources of the computer system. System applications take advantage of the management of resources by the operating system through program modules and program data stored either in the system memory or on the disk storage. It is to be appreciated that various components described herein can be implemented with various operating systems or combinations of operating systems.
A user enters commands or information into the computer system 210 through input device(s) coupled to the I/O interface 251. The input devices include, but are not limited to, a pointing device such as a mouse, trackball, stylus, touch pad, keyboard, microphone, joystick, game pad, satellite dish, scanner, TV tuner card, digital camera, digital video camera, web camera, and the like. These and other input devices connect to the processor through the system bus via interface port(s). The interface port(s) include, for example, a serial port, a parallel port, a game port, and a USB. The output device(s) use some of the same types of ports as input device(s). Thus, for example, a USB port may be used to provide input to the computer system and to output information from the computer system to an output device. An output adapter is provided to illustrate that there are some output devices like monitors, displays, speakers, and printers, among other output devices that require special adapters. The output adapters include, by way of illustration and not limitation, video and sound cards that provide a means of connection between the output device and the system bus. It should be noted that other devices and/or systems of devices, such as remote computer(s), provide both input and output capabilities.
The computer system 210 can operate in a networked environment using logical connections to one or more remote computers, such as cloud computer(s), or local computers. The remote cloud computer(s) can be a personal computer, server, router, network PC, workstation, microprocessor-based appliance, peer device, or other common network node, and the like, and typically includes many or all of the elements described relative to the computer system. For purposes of brevity, only a memory storage device is illustrated with the remote computer(s). The remote computer(s) is logically connected to the computer system through a network interface and then physically connected via a communication connection. The network interface encompasses communication networks such as local area networks (LANs) and wide area networks (WANs). LAN technologies include Fiber Distributed Data Interface (FDDI), Copper Distributed Data Interface (CDDI), Ethernet/IEEE 802.3, Token Ring/IEEE 802.5 and the like. WAN technologies include, but are not limited to, point-to-point links, circuit-switching networks like Integrated Services Digital Networks (ISDN) and variations thereon, packet-switching networks, and Digital Subscriber Lines (DSL).
In various aspects, the computer system 210 of
The communication connection(s) refers to the hardware/software employed to connect the network interface to the bus. While the communication connection is shown for illustrative clarity inside the computer system, it can also be external to the computer system 210. The hardware/software necessary for connection to the network interface includes, for illustrative purposes only, internal and external technologies such as modems, including regular telephone-grade modems, cable modems, and DSL modems, ISDN adapters, and Ethernet cards.
In various aspects, the devices/instruments 235 described with reference to
The USB network hub 300 device is implemented with a digital state machine instead of a microcontroller, and no firmware programming is required. Fully compliant USB transceivers are integrated into the circuit for the upstream USB transceiver port 302 and all downstream USB transceiver ports 304, 306, 308. The downstream USB transceiver ports 304, 306, 308 support both full-speed and low-speed devices by automatically setting the slew rate according to the speed of the device attached to the ports. The USB network hub 300 device may be configured either in bus-powered or self-powered mode and includes a hub power logic 312 to manage power.
The USB network hub 300 device includes a serial interface engine 310 (SIE). The SIE 310 is the front end of the USB network hub 300 hardware and handles most of the protocol described in chapter 8 of the USB specification. The SIE 310 typically comprehends signaling up to the transaction level. The functions that it handles could include: packet recognition, transaction sequencing, SOP, EOP, RESET, and RESUME signal detection/generation, clock/data separation, non-return-to-zero invert (NRZI) data encoding/decoding and bit-stuffing, CRC generation and checking (token and data), packet ID (PID) generation and checking/decoding, and/or serial-parallel/parallel-serial conversion. The 310 receives a clock input 314 and is coupled to a suspend/resume logic and frame timer 316 circuit and a hub repeater circuit 318 to control communication between the upstream USB transceiver port 302 and the downstream USB transceiver ports 304, 306, 308 through port logic circuits 320, 322, 324. The SIE 310 is coupled to a command decoder 326 via interface logic to control commands from a serial EEPROM via a serial EEPROM interface 330.
In various aspects, the USB network hub 300 can connect 127 functions configured in up to six logical layers (tiers) to a single computer. Further, the USB network hub 300 can connect to all peripherals using a standardized four-wire cable that provides both communication and power distribution. The power configurations are bus-powered and self-powered modes. The USB network hub 300 may be configured to support four modes of power management: a bus-powered hub, with either individual-port power management or ganged-port power management, and the self-powered hub, with either individual-port power management or ganged-port power management. In one aspect, using a USB cable, the USB network hub 300, the upstream USB transceiver port 302 is plugged into a USB host controller, and the downstream USB transceiver ports 304, 306, 308 are exposed for connecting USB compatible devices, and so forth.
Additional details regarding the structure and function of the surgical hub and/or surgical hub networks can be found in U.S. Provisional Patent Application No. 62/659,900, titled METHOD OF HUB COMMUNICATION, filed Apr. 19, 2018, which is hereby incorporated by reference herein in its entirety.
In addition, surgical instruments 7012 may comprise transceivers for data transmission to and from their corresponding surgical hubs 7006 (which may also comprise transceivers). Combinations of surgical instruments 7012 and corresponding hubs 7006 may indicate particular locations, such as operating theaters in healthcare facilities (e.g., hospitals), for providing medical operations. For example, the memory of a surgical hub 7006 may store location data. As shown in
Based on connections to various surgical hubs 7006 via the network 7001, the cloud 7004 can aggregate data from specific data generated by various surgical instruments 7012 and their corresponding hubs 7006. Such aggregated data may be stored within the aggregated medical databases 7011 of the cloud 7004. In particular, the cloud 7004 may advantageously perform data analysis and operations on the aggregated data to yield insights and/or perform functions that individual hubs 7006 could not achieve on their own. To this end, as shown in
The particular cloud computing system configuration described in the present disclosure is specifically designed to address various issues arising in the context of medical operations and procedures performed using medical devices, such as the surgical instruments 7012, 112. In particular, the surgical instruments 7012 may be digital surgical devices configured to interact with the cloud 7004 for implementing techniques to improve the performance of surgical operations. Various surgical instruments 7012 and/or surgical hubs 7006 may comprise touch controlled user interfaces such that clinicians may control aspects of interaction between the surgical instruments 7012 and the cloud 7004. Other suitable user interfaces for control such as auditory controlled user interfaces can also be used.
For example, the data collection and aggregation module 7022 could be used to generate self-describing data (e.g., metadata) including identification of notable features or configuration (e.g., trends), management of redundant data sets, and storage of the data in paired data sets which can be grouped by surgery but not necessarily keyed to actual surgical dates and surgeons. In particular, pair data sets generated from operations of surgical instruments 7012 can comprise applying a binary classification, e.g., a bleeding or a non-bleeding event. More generally, the binary classification may be characterized as either a desirable event (e.g., a successful surgical procedure) or an undesirable event (e.g., a misfired or misused surgical instrument 7012). The aggregated self-describing data may correspond to individual data received from various groups or subgroups of surgical hubs 7006. Accordingly, the data collection and aggregation module 7022 can generate aggregated metadata or other organized data based on raw data received from the surgical hubs 7006. To this end, the processors 7008 can be operationally coupled to the hub applications 7014 and aggregated medical data databases 7011 for executing the data analytics modules 7034. The data collection and aggregation module 7022 may store the aggregated organized data into the aggregated medical data databases 2212.
The resource optimization module 7020 can be configured to analyze this aggregated data to determine an optimal usage of resources for a particular or group of healthcare facilities. For example, the resource optimization module 7020 may determine an optimal order point of surgical stapling instruments 7012 for a group of healthcare facilities based on corresponding predicted demand of such instruments 7012. The resource optimization module 7020 might also assess the resource usage or other operational configurations of various healthcare facilities to determine whether resource usage could be improved. Similarly, the recommendations module 7030 can be configured to analyze aggregated organized data from the data collection and aggregation module 7022 to provide recommendations. For example, the recommendations module 7030 could recommend to healthcare facilities (e.g., medical service providers such as hospitals) that a particular surgical instrument 7012 should be upgraded to an improved version based on a higher than expected error rate, for example. Additionally, the recommendations module 7030 and/or resource optimization module 7020 could recommend better supply chain parameters such as product reorder points and provide suggestions of different surgical instrument 7012, uses thereof, or procedure steps to improve surgical outcomes. The healthcare facilities can receive such recommendations via corresponding surgical hubs 7006. More specific recommendations regarding parameters or configurations of various surgical instruments 7012 can also be provided. Hubs 7006 and/or surgical instruments 7012 each could also have display screens that display data or recommendations provided by the cloud 7004.
The patient outcome analysis module 7028 can analyze surgical outcomes associated with currently used operational parameters of surgical instruments 7012. The patient outcome analysis module 7028 may also analyze and assess other potential operational parameters. In this connection, the recommendations module 7030 could recommend using these other potential operational parameters based on yielding better surgical outcomes, such as better sealing or less bleeding. For example, the recommendations module 7030 could transmit recommendations to a surgical hub 7006 regarding when to use a particular cartridge for a corresponding stapling surgical instrument 7012. Thus, the cloud-based analytics system, while controlling for common variables, may be configured to analyze the large collection of raw data and to provide centralized recommendations over multiple healthcare facilities (advantageously determined based on aggregated data). For example, the cloud-based analytics system could analyze, evaluate, and/or aggregate data based on type of medical practice, type of patient, number of patients, geographic similarity between medical providers, which medical providers/facilities use similar types of instruments, etc., in a way that no single healthcare facility alone would be able to analyze independently.
The control program updating module 7026 could be configured to implement various surgical instrument 7012 recommendations when corresponding control programs are updated. For example, the patient outcome analysis module 7028 could identify correlations linking specific control parameters with successful (or unsuccessful) results. Such correlations may be addressed when updated control programs are transmitted to surgical instruments 7012 via the control program updating module 7026. Updates to instruments 7012 that are transmitted via a corresponding hub 7006 may incorporate aggregated performance data that was gathered and analyzed by the data collection and aggregation module 7022 of the cloud 7004. Additionally, the patient outcome analysis module 7028 and recommendations module 7030 could identify improved methods of using instruments 7012 based on aggregated performance data.
The cloud-based analytics system may include security features implemented by the cloud 7004. These security features may be managed by the authorization and security module 7024. Each surgical hub 7006 can have associated unique credentials such as username, password, and other suitable security credentials. These credentials could be stored in the memory 7010 and be associated with a permitted cloud access level. For example, based on providing accurate credentials, a surgical hub 7006 may be granted access to communicate with the cloud to a predetermined extent (e.g., may only engage in transmitting or receiving certain defined types of information). To this end, the aggregated medical data databases 7011 of the cloud 7004 may comprise a database of authorized credentials for verifying the accuracy of provided credentials. Different credentials may be associated with varying levels of permission for interaction with the cloud 7004, such as a predetermined access level for receiving the data analytics generated by the cloud 7004.
Furthermore, for security purposes, the cloud could maintain a database of hubs 7006, instruments 7012, and other devices that may comprise a “black list” of prohibited devices. In particular, a surgical hub 7006 listed on the black list may not be permitted to interact with the cloud, while surgical instruments 7012 listed on the black list may not have functional access to a corresponding hub 7006 and/or may be prevented from fully functioning when paired to its corresponding hub 7006. Additionally or alternatively, the cloud 7004 may flag instruments 7012 based on incompatibility or other specified criteria. In this manner, counterfeit medical devices and improper reuse of such devices throughout the cloud-based analytics system can be identified and addressed.
The surgical instruments 7012 may use wireless transceivers to transmit wireless signals that may represent, for example, authorization credentials for access to corresponding hubs 7006 and the cloud 7004. Wired transceivers may also be used to transmit signals Such authorization credentials can be stored in the respective memory devices of the surgical instruments 7012. The authorization and security module 7024 can determine whether the authorization credentials are accurate or counterfeit. The authorization and security module 7024 may also dynamically generate authorization credentials for enhanced security. The credentials could also be encrypted, such as by using hash based encryption. Upon transmitting proper authorization, the surgical instruments 7012 may transmit a signal to the corresponding hubs 7006 and ultimately the cloud 7004 to indicate that the instruments 7012 are ready to obtain and transmit medical data. In response, the cloud 7004 may transition into a state enabled for receiving medical data for storage into the aggregated medical data databases 7011. This data transmission readiness could be indicated by a light indicator on the instruments 7012, for example. The cloud 7004 can also transmit signals to surgical instruments 7012 for updating their associated control programs. The cloud 7004 can transmit signals that are directed to a particular class of surgical instruments 7012 (e.g., electrosurgical instruments) so that software updates to control programs are only transmitted to the appropriate surgical instruments 7012. Moreover, the cloud 7004 could be used to implement system wide solutions to address local or global problems based on selective data transmission and authorization credentials. For example, if a group of surgical instruments 7012 are identified as having a common manufacturing defect, the cloud 7004 may change the authorization credentials corresponding to this group to implement an operational lockout of the group.
The cloud-based analytics system may allow for monitoring multiple healthcare facilities (e.g., medical facilities like hospitals) to determine improved practices and recommend changes (via the recommendations module 2030, for example) accordingly. Thus, the processors 7008 of the cloud 7004 can analyze data associated with an individual healthcare facility to identify the facility and aggregate the data with other data associated with other healthcare facilities in a group. Groups could be defined based on similar operating practices or geographical location, for example. In this way, the cloud 7004 may provide healthcare facility group wide analysis and recommendations. The cloud-based analytics system could also be used for enhanced situational awareness. For example, the processors 7008 may predictively model the effects of recommendations on the cost and effectiveness for a particular facility (relative to overall operations and/or various medical procedures). The cost and effectiveness associated with that particular facility can also be compared to a corresponding local zone of other facilities or any other comparable facilities.
The data sorting and prioritization module 7032 may prioritize and sort data based on criticality (e.g., the severity of a medical event associated with the data, unexpectedness, suspiciousness). This sorting and prioritization may be used in conjunction with the functions of the other data analytics modules 7034 described above to improve the cloud-based analytics and operations described herein. For example, the data sorting and prioritization module 7032 can assign a priority to the data analysis performed by the data collection and aggregation module 7022 and patient outcome analysis modules 7028. Different prioritization levels can result in particular responses from the cloud 7004 (corresponding to a level of urgency) such as escalation for an expedited response, special processing, exclusion from the aggregated medical data databases 7011, or other suitable responses. Moreover, if necessary, the cloud 7004 can transmit a request (e.g. a push message) through the hub application servers for additional data from corresponding surgical instruments 7012. The push message can result in a notification displayed on the corresponding hubs 7006 for requesting supporting or additional data. This push message may be required in situations in which the cloud detects a significant irregularity or outlier and the cloud cannot determine the cause of the irregularity. The central servers 7013 may be programmed to trigger this push message in certain significant circumstances, such as when data is determined to be different from an expected value beyond a predetermined threshold or when it appears security has been compromised, for example.
In various aspects, the surgical instrument(s) 7012 described above with reference to
Although an “intelligent” device including control algorithms that respond to sensed data can be an improvement over a “dumb” device that operates without accounting for sensed data, some sensed data can be incomplete or inconclusive when considered in isolation, i.e., without the context of the type of surgical procedure being performed or the type of tissue that is being operated on. Without knowing the procedural context (e.g., knowing the type of tissue being operated on or the type of procedure being performed), the control algorithm may control the modular device incorrectly or suboptimally given the particular context-free sensed data. For example, the optimal manner for a control algorithm to control a surgical instrument in response to a particular sensed parameter can vary according to the particular tissue type being operated on. This is due to the fact that different tissue types have different properties (e.g., resistance to tearing) and thus respond differently to actions taken by surgical instruments. Therefore, it may be desirable for a surgical instrument to take different actions even when the same measurement for a particular parameter is sensed. As one specific example, the optimal manner in which to control a surgical stapling and cutting instrument in response to the instrument sensing an unexpectedly high force to close its end effector will vary depending upon whether the tissue type is susceptible or resistant to tearing. For tissues that are susceptible to tearing, such as lung tissue, the instrument's control algorithm would optimally ramp down the motor in response to an unexpectedly high force to close to avoid tearing the tissue. For tissues that are resistant to tearing, such as stomach tissue, the instrument's control algorithm would optimally ramp up the motor in response to an unexpectedly high force to close to ensure that the end effector is clamped properly on the tissue. Without knowing whether lung or stomach tissue has been clamped, the control algorithm may make a suboptimal decision.
One solution utilizes a surgical hub including a system that is configured to derive information about the surgical procedure being performed based on data received from various data sources and then control the paired modular devices accordingly. In other words, the surgical hub is configured to infer information about the surgical procedure from received data and then control the modular devices paired to the surgical hub based upon the inferred context of the surgical procedure.
A surgical hub 5104, which may be similar to the hub 106 in many respects, can be configured to derive the contextual information pertaining to the surgical procedure from the data based upon, for example, the particular combination(s) of received data or the particular order in which the data is received from the data sources 5126. The contextual information inferred from the received data can include, for example, the type of surgical procedure being performed, the particular step of the surgical procedure that the surgeon is performing, the type of tissue being operated on, or the body cavity that is the subject of the procedure. This ability by some aspects of the surgical hub 5104 to derive or infer information related to the surgical procedure from received data can be referred to as “situational awareness.” In one exemplification, the surgical hub 5104 can incorporate a situational awareness system, which is the hardware and/or programming associated with the surgical hub 5104 that derives contextual information pertaining to the surgical procedure from the received data.
The situational awareness system of the surgical hub 5104 can be configured to derive the contextual information from the data received from the data sources 5126 in a variety of different ways. In one exemplification, the situational awareness system includes a pattern recognition system, or machine learning system (e.g., an artificial neural network), that has been trained on training data to correlate various inputs (e.g., data from databases 5122, patient monitoring devices 5124, and/or modular devices 5102) to corresponding contextual information regarding a surgical procedure. In other words, a machine learning system can be trained to accurately derive contextual information regarding a surgical procedure from the provided inputs. In another exemplification, the situational awareness system can include a lookup table storing pre-characterized contextual information regarding a surgical procedure in association with one or more inputs (or ranges of inputs) corresponding to the contextual information. In response to a query with one or more inputs, the lookup table can return the corresponding contextual information for the situational awareness system for controlling the modular devices 5102. In one exemplification, the contextual information received by the situational awareness system of the surgical hub 5104 is associated with a particular control adjustment or set of control adjustments for one or more modular devices 5102. In another exemplification, the situational awareness system includes a further machine learning system, lookup table, or other such system, which generates or retrieves one or more control adjustments for one or more modular devices 5102 when provided the contextual information as input.
A surgical hub 5104 incorporating a situational awareness system provides a number of benefits for the surgical system 5100. One benefit includes improving the interpretation of sensed and collected data, which would in turn improve the processing accuracy and/or the usage of the data during the course of a surgical procedure. To return to a previous example, a situationally aware surgical hub 5104 could determine what type of tissue was being operated on; therefore, when an unexpectedly high force to close the surgical instrument's end effector is detected, the situationally aware surgical hub 5104 could correctly ramp up or ramp down the motor of the surgical instrument for the type of tissue.
As another example, the type of tissue being operated can affect the adjustments that are made to the compression rate and load thresholds of a surgical stapling and cutting instrument for a particular tissue gap measurement. A situationally aware surgical hub 5104 could infer whether a surgical procedure being performed is a thoracic or an abdominal procedure, allowing the surgical hub 5104 to determine whether the tissue clamped by an end effector of the surgical stapling and cutting instrument is lung (for a thoracic procedure) or stomach (for an abdominal procedure) tissue. The surgical hub 5104 could then adjust the compression rate and load thresholds of the surgical stapling and cutting instrument appropriately for the type of tissue.
As yet another example, the type of body cavity being operated in during an insufflation procedure can affect the function of a smoke evacuator. A situationally aware surgical hub 5104 could determine whether the surgical site is under pressure (by determining that the surgical procedure is utilizing insufflation) and determine the procedure type. As a procedure type is generally performed in a specific body cavity, the surgical hub 5104 could then control the motor rate of the smoke evacuator appropriately for the body cavity being operated in. Thus, a situationally aware surgical hub 5104 could provide a consistent amount of smoke evacuation for both thoracic and abdominal procedures.
As yet another example, the type of procedure being performed can affect the optimal energy level for an ultrasonic surgical instrument or radio frequency (RF) electrosurgical instrument to operate at. Arthroscopic procedures, for example, require higher energy levels because the end effector of the ultrasonic surgical instrument or RF electrosurgical instrument is immersed in fluid. A situationally aware surgical hub 5104 could determine whether the surgical procedure is an arthroscopic procedure. The surgical hub 5104 could then adjust the RF power level or the ultrasonic amplitude of the generator (i.e., “energy level”) to compensate for the fluid filled environment. Relatedly, the type of tissue being operated on can affect the optimal energy level for an ultrasonic surgical instrument or RF electrosurgical instrument to operate at. A situationally aware surgical hub 5104 could determine what type of surgical procedure is being performed and then customize the energy level for the ultrasonic surgical instrument or RF electrosurgical instrument, respectively, according to the expected tissue profile for the surgical procedure. Furthermore, a situationally aware surgical hub 5104 can be configured to adjust the energy level for the ultrasonic surgical instrument or RF electrosurgical instrument throughout the course of a surgical procedure, rather than just on a procedure-by-procedure basis. A situationally aware surgical hub 5104 could determine what step of the surgical procedure is being performed or will subsequently be performed and then update the control algorithms for the generator and/or ultrasonic surgical instrument or RF electrosurgical instrument to set the energy level at a value appropriate for the expected tissue type according to the surgical procedure step.
As yet another example, data can be drawn from additional data sources 5126 to improve the conclusions that the surgical hub 5104 draws from one data source 5126. A situationally aware surgical hub 5104 could augment data that it receives from the modular devices 5102 with contextual information that it has built up regarding the surgical procedure from other data sources 5126. For example, a situationally aware surgical hub 5104 can be configured to determine whether hemostasis has occurred (i.e., whether bleeding at a surgical site has stopped) according to video or image data received from a medical imaging device. However, in some cases the video or image data can be inconclusive. Therefore, in one exemplification, the surgical hub 5104 can be further configured to compare a physiologic measurement (e.g., blood pressure sensed by a BP monitor communicably connected to the surgical hub 5104) with the visual or image data of hemostasis (e.g., from a medical imaging device 124 (
Another benefit includes proactively and automatically controlling the paired modular devices 5102 according to the particular step of the surgical procedure that is being performed to reduce the number of times that medical personnel are required to interact with or control the surgical system 5100 during the course of a surgical procedure. For example, a situationally aware surgical hub 5104 could proactively activate the generator to which an RF electrosurgical instrument is connected if it determines that a subsequent step of the procedure requires the use of the instrument. Proactively activating the energy source allows the instrument to be ready for use a soon as the preceding step of the procedure is completed.
As another example, a situationally aware surgical hub 5104 could determine whether the current or subsequent step of the surgical procedure requires a different view or degree of magnification on the display according to the feature(s) at the surgical site that the surgeon is expected to need to view. The surgical hub 5104 could then proactively change the displayed view (supplied by, e.g., a medical imaging device for the visualization system 108) accordingly so that the display automatically adjusts throughout the surgical procedure.
As yet another example, a situationally aware surgical hub 5104 could determine which step of the surgical procedure is being performed or will subsequently be performed and whether particular data or comparisons between data will be required for that step of the surgical procedure. The surgical hub 5104 can be configured to automatically call up data screens based upon the step of the surgical procedure being performed, without waiting for the surgeon to ask for the particular information.
Another benefit includes checking for errors during the setup of the surgical procedure or during the course of the surgical procedure. For example, a situationally aware surgical hub 5104 could determine whether the operating theater is setup properly or optimally for the surgical procedure to be performed. The surgical hub 5104 can be configured to determine the type of surgical procedure being performed, retrieve the corresponding checklists, product location, or setup needs (e.g., from a memory), and then compare the current operating theater layout to the standard layout for the type of surgical procedure that the surgical hub 5104 determines is being performed. In one exemplification, the surgical hub 5104 can be configured to compare the list of items for the procedure scanned by a suitable scanner for example and/or a list of devices paired with the surgical hub 5104 to a recommended or anticipated manifest of items and/or devices for the given surgical procedure. If there are any discontinuities between the lists, the surgical hub 5104 can be configured to provide an alert indicating that a particular modular device 5102, patient monitoring device 5124, and/or other surgical item is missing. In one exemplification, the surgical hub 5104 can be configured to determine the relative distance or position of the modular devices 5102 and patient monitoring devices 5124 via proximity sensors, for example. The surgical hub 5104 can compare the relative positions of the devices to a recommended or anticipated layout for the particular surgical procedure. If there are any discontinuities between the layouts, the surgical hub 5104 can be configured to provide an alert indicating that the current layout for the surgical procedure deviates from the recommended layout.
As another example, a situationally aware surgical hub 5104 could determine whether the surgeon (or other medical personnel) was making an error or otherwise deviating from the expected course of action during the course of a surgical procedure. For example, the surgical hub 5104 can be configured to determine the type of surgical procedure being performed, retrieve the corresponding list of steps or order of equipment usage (e.g., from a memory), and then compare the steps being performed or the equipment being used during the course of the surgical procedure to the expected steps or equipment for the type of surgical procedure that the surgical hub 5104 determined is being performed. In one exemplification, the surgical hub 5104 can be configured to provide an alert indicating that an unexpected action is being performed or an unexpected device is being utilized at the particular step in the surgical procedure.
Overall, the situational awareness system for the surgical hub 5104 improves surgical procedure outcomes by adjusting the surgical instruments (and other modular devices 5102) for the particular context of each surgical procedure (such as adjusting to different tissue types) and validating actions during a surgical procedure. The situational awareness system also improves surgeons' efficiency in performing surgical procedures by automatically suggesting next steps, providing data, and adjusting displays and other modular devices 5102 in the surgical theater according to the specific context of the procedure.
In one aspect, as described hereinbelow with reference to
Referring now to
The situationally aware surgical hub 106, 206 receives data from the data sources throughout the course of the surgical procedure, including data generated each time medical personnel utilize a modular device that is paired with the surgical hub 106, 206. The surgical hub 106, 206 can receive this data from the paired modular devices and other data sources and continually derive inferences (i.e., contextual information) about the ongoing procedure as new data is received, such as which step of the procedure is being performed at any given time. The situational awareness system of the surgical hub 106, 206 is able to, for example, record data pertaining to the procedure for generating reports, verify the steps being taken by the medical personnel, provide data or prompts (e.g., via a display screen) that may be pertinent for the particular procedural step, adjust modular devices based on the context (e.g., activate monitors, adjust the field of view (FOV) of the medical imaging device, or change the energy level of an ultrasonic surgical instrument or RF electrosurgical instrument), and take any other such action described above.
As the first step 5202 in this illustrative procedure, the hospital staff members retrieve the patient's EMR from the hospital's EMR database. Based on select patient data in the EMR, the surgical hub 106, 206 determines that the procedure to be performed is a thoracic procedure.
Second step 5204, the staff members scan the incoming medical supplies for the procedure. The surgical hub 106, 206 cross-references the scanned supplies with a list of supplies that are utilized in various types of procedures and confirms that the mix of supplies corresponds to a thoracic procedure. Further, the surgical hub 106, 206 is also able to determine that the procedure is not a wedge procedure (because the incoming supplies either lack certain supplies that are necessary for a thoracic wedge procedure or do not otherwise correspond to a thoracic wedge procedure).
Third step 5206, the medical personnel scan the patient band via a scanner that is communicably connected to the surgical hub 106, 206. The surgical hub 106, 206 can then confirm the patient's identity based on the scanned data.
Fourth step 5208, the medical staff turns on the auxiliary equipment. The auxiliary equipment being utilized can vary according to the type of surgical procedure and the techniques to be used by the surgeon, but in this illustrative case they include a smoke evacuator, insufflator, and medical imaging device. When activated, the auxiliary equipment that are modular devices can automatically pair with the surgical hub 106, 206 that is located within a particular vicinity of the modular devices as part of their initialization process. The surgical hub 106, 206 can then derive contextual information about the surgical procedure by detecting the types of modular devices that pair with it during this pre-operative or initialization phase. In this particular example, the surgical hub 106, 206 determines that the surgical procedure is a VATS procedure based on this particular combination of paired modular devices. Based on the combination of the data from the patient's EMR, the list of medical supplies to be used in the procedure, and the type of modular devices that connect to the hub, the surgical hub 106, 206 can generally infer the specific procedure that the surgical team will be performing. Once the surgical hub 106, 206 knows what specific procedure is being performed, the surgical hub 106, 206 can then retrieve the steps of that procedure from a memory or from the cloud and then cross-reference the data it subsequently receives from the connected data sources (e.g., modular devices and patient monitoring devices) to infer what step of the surgical procedure the surgical team is performing.
Fifth step 5210, the staff members attach the EKG electrodes and other patient monitoring devices to the patient. The EKG electrodes and other patient monitoring devices are able to pair with the surgical hub 106, 206. As the surgical hub 106, 206 begins receiving data from the patient monitoring devices, the surgical hub 106, 206 thus confirms that the patient is in the operating theater.
Sixth step 5212, the medical personnel induce anesthesia in the patient. The surgical hub 106, 206 can infer that the patient is under anesthesia based on data from the modular devices and/or patient monitoring devices, including EKG data, blood pressure data, ventilator data, or combinations thereof, for example. Upon completion of the sixth step 5212, the pre-operative portion of the lung segmentectomy procedure is completed and the operative portion begins.
Seventh step 5214, the patient's lung that is being operated on is collapsed (while ventilation is switched to the contralateral lung). The surgical hub 106, 206 can infer from the ventilator data that the patient's lung has been collapsed, for example. The surgical hub 106, 206 can infer that the operative portion of the procedure has commenced as it can compare the detection of the patient's lung collapsing to the expected steps of the procedure (which can be accessed or retrieved previously) and thereby determine that collapsing the lung is the first operative step in this particular procedure.
Eighth step 5216, the medical imaging device (e.g., a scope) is inserted and video from the medical imaging device is initiated. The surgical hub 106, 206 receives the medical imaging device data (i.e., video or image data) through its connection to the medical imaging device. Upon receipt of the medical imaging device data, the surgical hub 106, 206 can determine that the laparoscopic portion of the surgical procedure has commenced. Further, the surgical hub 106, 206 can determine that the particular procedure being performed is a segmentectomy, as opposed to a lobectomy (note that a wedge procedure has already been discounted by the surgical hub 106, 206 based on data received at the second step 5204 of the procedure). The data from the medical imaging device 124 (
Ninth step 5218, the surgical team begins the dissection step of the procedure. The surgical hub 106, 206 can infer that the surgeon is in the process of dissecting to mobilize the patient's lung because it receives data from the RF or ultrasonic generator indicating that an energy instrument is being fired. The surgical hub 106, 206 can cross-reference the received data with the retrieved steps of the surgical procedure to determine that an energy instrument being fired at this point in the process (i.e., after the completion of the previously discussed steps of the procedure) corresponds to the dissection step. In certain instances, the energy instrument can be an energy tool mounted to a robotic arm of a robotic surgical system.
Tenth step 5220, the surgical team proceeds to the ligation step of the procedure. The surgical hub 106, 206 can infer that the surgeon is ligating arteries and veins because it receives data from the surgical stapling and cutting instrument indicating that the instrument is being fired. Similarly to the prior step, the surgical hub 106, 206 can derive this inference by cross-referencing the receipt of data from the surgical stapling and cutting instrument with the retrieved steps in the process. In certain instances, the surgical instrument can be a surgical tool mounted to a robotic arm of a robotic surgical system.
Eleventh step 5222, the segmentectomy portion of the procedure is performed. The surgical hub 106, 206 can infer that the surgeon is transecting the parenchyma based on data from the surgical stapling and cutting instrument, including data from its cartridge. The cartridge data can correspond to the size or type of staple being fired by the instrument, for example. As different types of staples are utilized for different types of tissues, the cartridge data can thus indicate the type of tissue being stapled and/or transected. In this case, the type of staple being fired is utilized for parenchyma (or other similar tissue types), which allows the surgical hub 106, 206 to infer that the segmentectomy portion of the procedure is being performed.
Twelfth step 5224, the node dissection step is then performed. The surgical hub 106, 206 can infer that the surgical team is dissecting the node and performing a leak test based on data received from the generator indicating that an RF or ultrasonic instrument is being fired. For this particular procedure, an RF or ultrasonic instrument being utilized after parenchyma was transected corresponds to the node dissection step, which allows the surgical hub 106, 206 to make this inference. It should be noted that surgeons regularly switch back and forth between surgical stapling/cutting instruments and surgical energy (i.e., RF or ultrasonic) instruments depending upon the particular step in the procedure because different instruments are better adapted for particular tasks. Therefore, the particular sequence in which the stapling/cutting instruments and surgical energy instruments are used can indicate what step of the procedure the surgeon is performing. Moreover, in certain instances, robotic tools can be utilized for one or more steps in a surgical procedure and/or handheld surgical instruments can be utilized for one or more steps in the surgical procedure. The surgeon(s) can alternate between robotic tools and handheld surgical instruments and/or can use the devices concurrently, for example. Upon completion of the twelfth step 5224, the incisions are closed up and the post-operative portion of the procedure begins.
Thirteenth step 5226, the patient's anesthesia is reversed. The surgical hub 106, 206 can infer that the patient is emerging from the anesthesia based on the ventilator data (i.e., the patient's breathing rate begins increasing), for example.
Lastly, the fourteenth step 5228 is that the medical personnel remove the various patient monitoring devices from the patient. The surgical hub 106, 206 can thus infer that the patient is being transferred to a recovery room when the hub loses EKG, BP, and other data from the patient monitoring devices. As can be seen from the description of this illustrative procedure, the surgical hub 106, 206 can determine or infer when each step of a given surgical procedure is taking place according to data received from the various data sources that are communicably coupled to the surgical hub 106, 206.
In various aspects, the powered circular stapling device 201800 (
In one aspect, the microcontroller 461 may be any single-core or multicore processor such as those known under the trade name ARM Cortex by Texas Instruments. In one aspect, the main microcontroller 461 may be an LM4F230H5QR ARM Cortex-M4F Processor Core, available from Texas Instruments, for example, comprising an on-chip memory of 256 KB single-cycle flash memory, or other non-volatile memory, up to 40 MHz, a prefetch buffer to improve performance above 40 MHz, a 32 KB single-cycle SRAM, and internal ROM loaded with StellarisWare® software, a 2 KB EEPROM, one or more PWM modules, one or more QEI analogs, and/or one or more 12-bit ADCs with 12 analog input channels, details of which are available for the product datasheet.
In one aspect, the microcontroller 461 may comprise a safety controller comprising two controller-based families such as TMS570 and RM4x, known under the trade name Hercules ARM Cortex R4, also by Texas Instruments. The safety controller may be configured specifically for IEC 61508 and ISO 26262 safety critical applications, among others, to provide advanced integrated safety features while delivering scalable performance, connectivity, and memory options.
The microcontroller 461 may be programmed to perform various functions such as precise control over the speed and position of the knife and articulation systems. In one aspect, the microcontroller 461 includes a processor 462 and a memory 468. The electric motor 482 may be a brushed direct current (DC) motor with a gearbox and mechanical links to an articulation or knife system. In one aspect, a motor driver 492 may be an A3941 available from Allegro Microsystems, Inc. Other motor drivers may be readily substituted for use in the tracking system 480 comprising an absolute positioning system. A detailed description of an absolute positioning system is described in U.S. Patent Application Publication No. 2017/0296213, titled SYSTEMS AND METHODS FOR CONTROLLING A SURGICAL STAPLING AND CUTTING INSTRUMENT, which published on Oct. 19, 2017, which is herein incorporated by reference in its entirety.
The microcontroller 461 may be programmed to provide precise control over the speed and position of displacement members and articulation systems. The microcontroller 461 may be configured to compute a response in the software of the microcontroller 461. The computed response is compared to a measured response of the actual system to obtain an “observed” response, which is used for actual feedback decisions. The observed response is a favorable, tuned value that balances the smooth, continuous nature of the simulated response with the measured response, which can detect outside influences on the system.
In one aspect, the motor 482 may be controlled by the motor driver 492 and can be employed by the firing system of the surgical instrument or tool. In various forms, the motor 482 may be a brushed DC driving motor having a maximum rotational speed of approximately 25,000 RPM. In other arrangements, the motor 482 may include a brushless motor, a cordless motor, a synchronous motor, a stepper motor, or any other suitable electric motor. The motor driver 492 may comprise an H-bridge driver comprising field-effect transistors (FETs), for example. The motor 482 can be powered by a power assembly releasably mounted to the handle assembly or tool housing for supplying control power to the surgical instrument or tool. The power assembly may comprise a battery which may include a number of battery cells connected in series that can be used as the power source to power the surgical instrument or tool. In certain circumstances, the battery cells of the power assembly may be replaceable and/or rechargeable. In at least one example, the battery cells can be lithium-ion batteries which can be couplable to and separable from the power assembly.
The motor driver 492 may be an A3941 available from Allegro Microsystems, Inc. The A3941 492 is a full-bridge controller for use with external N-channel power metal-oxide semiconductor field-effect transistors (MOSFETs) specifically designed for inductive loads, such as brush DC motors. The driver 492 comprises a unique charge pump regulator that provides full (>10 V) gate drive for battery voltages down to 7 V and allows the A3941 to operate with a reduced gate drive, down to 5.5 V. A bootstrap capacitor may be employed to provide the above battery supply voltage required for N-channel MOSFETs. An internal charge pump for the high-side drive allows DC (100% duty cycle) operation. The full bridge can be driven in fast or slow decay modes using diode or synchronous rectification. In the slow decay mode, current recirculation can be through the high-side or the lowside FETs. The power FETs are protected from shoot-through by resistor-adjustable dead time. Integrated diagnostics provide indications of undervoltage, overtemperature, and power bridge faults and can be configured to protect the power MOSFETs under most short circuit conditions. Other motor drivers may be readily substituted for use in the tracking system 480 comprising an absolute positioning system.
The tracking system 480 comprises a controlled motor drive circuit arrangement comprising a position sensor 472 according to one aspect of this disclosure. The position sensor 472 for an absolute positioning system provides a unique position signal corresponding to the location of a displacement member. In one aspect, the displacement member represents a longitudinally movable drive member comprising a rack of drive teeth for meshing engagement with a corresponding drive gear of a gear reducer assembly. In other aspects, the displacement member represents the firing member, which could be adapted and configured to include a rack of drive teeth. In yet another aspect, the displacement member represents a firing bar or the knife, each of which can be adapted and configured to include a rack of drive teeth. Accordingly, as used herein, the term displacement member is used generically to refer to any movable member of the surgical instrument or tool such as the drive member, the firing member, the firing bar, the knife, trocar or anvil of a powered circular stapling device, or any element that can be displaced. In one aspect, the longitudinally movable drive member is coupled to the firing member, the firing bar, and the knife. Accordingly, the absolute positioning system can, in effect, track the linear displacement of the knife by tracking the linear displacement of the longitudinally movable drive member. In various other aspects, the displacement member may be coupled to any position sensor 472 suitable for measuring linear displacement. Thus, the longitudinally movable drive member, the firing member, the firing bar, or the knife, or combinations thereof, may be coupled to any suitable linear displacement sensor. Linear displacement sensors may include contact or non-contact displacement sensors. Linear displacement sensors may comprise linear variable differential transformers (LVDT), differential variable reluctance transducers (DVRT), a slide potentiometer, a magnetic sensing system comprising a movable magnet and a series of linearly arranged Hall effect sensors, a magnetic sensing system comprising a fixed magnet and a series of movable, linearly arranged Hall effect sensors, an optical sensing system comprising a movable light source and a series of linearly arranged photo diodes or photo detectors, an optical sensing system comprising a fixed light source and a series of movable linearly, arranged photo diodes or photo detectors, or any combination thereof.
The electric motor 482 can include a rotatable shaft that operably interfaces with a gear assembly that is mounted in meshing engagement with a set, or rack, of drive teeth on the displacement member. A sensor element may be operably coupled to a gear assembly such that a single revolution of the position sensor 472 element corresponds to some linear longitudinal translation of the displacement member. An arrangement of gearing and sensors can be connected to the linear actuator, via a rack and pinion arrangement, or a rotary actuator, via a spur gear or other connection. A power source supplies power to the absolute positioning system and an output indicator may display the output of the absolute positioning system. The displacement member represents the longitudinally movable drive member comprising a rack of drive teeth formed thereon for meshing engagement with a corresponding drive gear of the gear reducer assembly. The displacement member represents the longitudinally movable firing member, firing bar, knife, or combinations thereof.
A single revolution of the sensor element associated with the position sensor 472 is equivalent to a longitudinal linear displacement d1 of the of the displacement member, where d1 is the longitudinal linear distance that the displacement member moves from point “a” to point “b” after a single revolution of the sensor element coupled to the displacement member. The sensor arrangement may be connected via a gear reduction that results in the position sensor 472 completing one or more revolutions for the full stroke of the displacement member. The position sensor 472 may complete multiple revolutions for the full stroke of the displacement member.
A series of switches, where n is an integer greater than one, may be employed alone or in combination with a gear reduction to provide a unique position signal for more than one revolution of the position sensor 472. The state of the switches are fed back to the microcontroller 461 that applies logic to determine a unique position signal corresponding to the longitudinal linear displacement d1+d2+ . . . dn of the displacement member. The output of the position sensor 472 is provided to the microcontroller 461. The position sensor 472 of the sensor arrangement may comprise a magnetic sensor, an analog rotary sensor like a potentiometer, or an array of analog Hall-effect elements, which output a unique combination of position signals or values.
The position sensor 472 may comprise any number of magnetic sensing elements, such as, for example, magnetic sensors classified according to whether they measure the total magnetic field or the vector components of the magnetic field. The techniques used to produce both types of magnetic sensors encompass many aspects of physics and electronics. The technologies used for magnetic field sensing include search coil, fluxgate, optically pumped, nuclear precession, SQUID, Hall-effect, anisotropic magnetoresistance, giant magnetoresistance, magnetic tunnel junctions, giant magnetoimpedance, magnetostrictive/piezoelectric composites, magnetodiode, magnetotransistor, fiber-optic, magneto-optic, and microelectromechanical systems-based magnetic sensors, among others.
In one aspect, the position sensor 472 for the tracking system 480 comprising an absolute positioning system comprises a magnetic rotary absolute positioning system. The position sensor 472 may be implemented as an AS5055EQFT single-chip magnetic rotary position sensor available from Austria Microsystems, AG. The position sensor 472 is interfaced with the microcontroller 461 to provide an absolute positioning system. The position sensor 472 is a low-voltage and low-power component and includes four Hall-effect elements in an area of the position sensor 472 that is located above a magnet. A high-resolution ADC and a smart power management controller are also provided on the chip. A coordinate rotation digital computer (CORDIC) processor, also known as the digit-by-digit method and Volder's algorithm, is provided to implement a simple and efficient algorithm to calculate hyperbolic and trigonometric functions that require only addition, subtraction, bitshift, and table lookup operations. The angle position, alarm bits, and magnetic field information are transmitted over a standard serial communication interface, such as a serial peripheral interface (SPI) interface, to the microcontroller 461. The position sensor 472 provides 12 or 14 bits of resolution. The position sensor 472 may be an AS5055 chip provided in a small QFN 16-pin 4×4×0.85 mm package.
The tracking system 480 comprising an absolute positioning system may comprise and/or be programmed to implement a feedback controller, such as a PID, state feedback, and adaptive controller. A power source converts the signal from the feedback controller into a physical input to the system: in this case the voltage. Other examples include a PWM of the voltage, current, and force. Other sensor(s) may be provided to measure physical parameters of the physical system in addition to the position measured by the position sensor 472. In some aspects, the other sensor(s) can include sensor arrangements such as those described in U.S. Pat. No. 9,345,481, titled STAPLE CARTRIDGE TISSUE THICKNESS SENSOR SYSTEM, which issued on May 24, 2016, which is herein incorporated by reference in its entirety; U.S. Patent Application Publication No. 2014/0263552, titled STAPLE CARTRIDGE TISSUE THICKNESS SENSOR SYSTEM, which published on Sep. 18, 2014, which is herein incorporated by reference in its entirety; and U.S. patent application Ser. No. 15/628,175, titled TECHNIQUES FOR ADAPTIVE CONTROL OF MOTOR VELOCITY OF A SURGICAL STAPLING AND CUTTING INSTRUMENT, filed Jun. 20, 2017, which is herein incorporated by reference in its entirety. In a digital signal processing system, an absolute positioning system is coupled to a digital data acquisition system where the output of the absolute positioning system will have a finite resolution and sampling frequency. The absolute positioning system may comprise a compare-and-combine circuit to combine a computed response with a measured response using algorithms, such as a weighted average and a theoretical control loop, that drive the computed response towards the measured response. The computed response of the physical system takes into account properties like mass, inertial, viscous friction, inductance resistance, etc., to predict what the states and outputs of the physical system will be by knowing the input.
The absolute positioning system provides an absolute position of the displacement member upon power-up of the instrument, without retracting or advancing the displacement member to a reset (zero or home) position as may be required with conventional rotary encoders that merely count the number of steps forwards or backwards that the motor 482 has taken to infer the position of a device actuator, drive bar, knife, or the like.
A sensor 474, such as, for example, a strain gauge or a micro-strain gauge, is configured to measure one or more parameters of the end effector, such as, for example, the amplitude of the strain exerted on the anvil during a clamping operation, which can be indicative of the closure forces applied to the anvil. The measured strain is converted to a digital signal and provided to the processor 462. Alternatively, or in addition to the sensor 474, a sensor 476, such as, for example, a load sensor, can measure the closure force applied by the closure drive system to the anvil. The sensor 476, such as, for example, a load sensor, can measure the firing force applied to a knife in a firing stroke of the surgical instrument or tool. The knife is configured to engage a wedge sled, which is configured to upwardly cam staple drivers to force out staples into deforming contact with an anvil. The knife also includes a sharpened cutting edge that can be used to sever tissue as the knife is advanced distally by the firing bar. Alternatively, a current sensor 478 can be employed to measure the current drawn by the motor 482. The force required to advance the firing member can correspond to the current drawn by the motor 482, for example. The measured force is converted to a digital signal and provided to the processor 462.
In one form, the strain gauge sensor 474 can be used to measure the force applied to the tissue by the end effector. A strain gauge can be coupled to the end effector to measure the force on the tissue being treated by the end effector. A system for measuring forces applied to the tissue grasped by the end effector comprises a strain gauge sensor 474, such as, for example, a micro-strain gauge, that is configured to measure one or more parameters of the end effector, for example. In one aspect, the strain gauge sensor 474 can measure the amplitude or magnitude of the strain exerted on a jaw member of an end effector during a clamping operation, which can be indicative of the tissue compression. The measured strain is converted to a digital signal and provided to a processor 462 of the microcontroller 461. A load sensor 476 can measure the force used to operate the knife element, for example, to cut the tissue captured between the anvil and the staple cartridge. A magnetic field sensor can be employed to measure the thickness of the captured tissue. The measurement of the magnetic field sensor also may be converted to a digital signal and provided to the processor 462.
The measurements of the tissue compression, the tissue thickness, and/or the force required to close the end effector on the tissue, as respectively measured by the sensors 474, 476, can be used by the microcontroller 461 to characterize the selected position of the firing member and/or the corresponding value of the speed of the firing member. In one instance, a memory 468 may store a technique, an equation, and/or a lookup table which can be employed by the microcontroller 461 in the assessment.
The control system 470 of the surgical instrument or tool also may comprise wired or wireless communication circuits to communicate with the modular communication hub as shown in
In certain instances, the surgical instrument system or tool may include a firing motor 602. The firing motor 602 may be operably coupled to a firing motor drive assembly 604 which can be configured to transmit firing motions, generated by the motor 602 to the end effector, in particular to displace the knife element. In certain instances, the firing motions generated by the motor 602 may cause the staples to be deployed from the staple cartridge into tissue captured by the end effector and/or the cutting edge of the knife element to be advanced to cut the captured tissue, for example. The knife element may be retracted by reversing the direction of the motor 602.
In certain instances, the surgical instrument or tool may include a closure motor 603. The closure motor 603 may be operably coupled to a closure motor drive assembly 605 which can be configured to transmit closure motions, generated by the motor 603 to the end effector, in particular to displace a closure tube to close the anvil and compress tissue between the anvil and the staple cartridge. The closure motions may cause the end effector to transition from an open configuration to an approximated configuration to capture tissue, for example. The end effector may be transitioned to an open position by reversing the direction of the motor 603. In a circular stapler implementation, the motor 603 may be coupled to a trocar portion of a circular stapler portion of a powered stapling device. The motor 603 can be employed to advance and retract the trocar.
In certain instances, the surgical instrument or tool may include one or more articulation motors 606a, 606b, for example. The motors 606a, 606b may be operably coupled to respective articulation motor drive assemblies 608a, 608b, which can be configured to transmit articulation motions generated by the motors 606a, 606b to the end effector. In certain instances, the articulation motions may cause the end effector to articulate relative to the shaft, for example.
As described above, the surgical instrument or tool may include a plurality of motors which may be configured to perform various independent functions. In certain instances, the plurality of motors of the surgical instrument or tool can be individually or separately activated to perform one or more functions while the other motors remain inactive. For example, the articulation motors 606a, 606b can be activated to cause the end effector to be articulated while the firing motor 602 remains inactive. Alternatively, the firing motor 602 can be activated to fire the plurality of staples, and/or to advance the cutting edge, while the articulation motor 606 remains inactive. Furthermore, the closure motor 603 may be activated simultaneously with the firing motor 602 to cause the closure tube and the knife element to advance distally as described in more detail hereinbelow.
In certain instances, the surgical instrument or tool may include a common control module 610 which can be employed with a plurality of motors of the surgical instrument or tool. In certain instances, the common control module 610 may accommodate one of the plurality of motors at a time. For example, the common control module 610 can be couplable to and separable from the plurality of motors of the surgical instrument individually. In certain instances, a plurality of the motors of the surgical instrument or tool may share one or more common control modules such as the common control module 610. In certain instances, a plurality of motors of the surgical instrument or tool can be individually and selectively engaged with the common control module 610. In certain instances, the common control module 610 can be selectively switched from interfacing with one of a plurality of motors of the surgical instrument or tool to interfacing with another one of the plurality of motors of the surgical instrument or tool.
In at least one example, the common control module 610 can be selectively switched between operable engagement with the articulation motors 606a, 606b and operable engagement with either the firing motor 602 or the closure motor 603. In at least one example, as illustrated in
Each of the motors 602, 603, 606a, 606b may comprise a torque sensor to measure the output torque on the shaft of the motor. The force on an end effector may be sensed in any conventional manner, such as by force sensors on the outer sides of the jaws or by a torque sensor for the motor actuating the jaws.
In various instances, as illustrated in
In certain instances, the microcontroller 620 may include a microprocessor 622 (the “processor”) and one or more non-transitory computer-readable mediums or memory units 624 (the “memory”). In certain instances, the memory 624 may store various program instructions, which when executed may cause the processor 622 to perform a plurality of functions and/or calculations described herein. In certain instances, one or more of the memory units 624 may be coupled to the processor 622, for example.
In certain instances, the power source 628 can be employed to supply power to the microcontroller 620, for example. In certain instances, the power source 628 may comprise a battery (or “battery pack” or “power pack”), such as a lithium-ion battery, for example. In certain instances, the battery pack may be configured to be releasably mounted to a handle for supplying power to the surgical instrument 600. A number of battery cells connected in series may be used as the power source 628. In certain instances, the power source 628 may be replaceable and/or rechargeable, for example.
In various instances, the processor 622 may control the motor driver 626 to control the position, direction of rotation, and/or velocity of a motor that is coupled to the common control module 610. In certain instances, the processor 622 can signal the motor driver 626 to stop and/or disable a motor that is coupled to the common control module 610. It should be understood that the term “processor” as used herein includes any suitable microprocessor, microcontroller, or other basic computing device that incorporates the functions of a computer's central processing unit (CPU) on an integrated circuit or, at most, a few integrated circuits. The processor is a multipurpose, programmable device that accepts digital data as input, processes it according to instructions stored in its memory, and provides results as output. It is an example of sequential digital logic, as it has internal memory. Processors operate on numbers and symbols represented in the binary numeral system.
In one instance, the processor 622 may be any single-core or multicore processor such as those known under the trade name ARM Cortex by Texas Instruments. In certain instances, the microcontroller 620 may be an LM 4F230H5QR, available from Texas Instruments, for example. In at least one example, the Texas Instruments LM4F230H5QR is an ARM Cortex-M4F Processor Core comprising an on-chip memory of 256 KB single-cycle flash memory, or other non-volatile memory, up to 40 MHz, a prefetch buffer to improve performance above 40 MHz, a 32 KB single-cycle SRAM, an internal ROM loaded with StellarisWare® software, a 2 KB EEPROM, one or more PWM modules, one or more QEI analogs, one or more 12-bit ADCs with 12 analog input channels, among other features that are readily available for the product datasheet. Other microcontrollers may be readily substituted for use with the module 4410. Accordingly, the present disclosure should not be limited in this context.
In certain instances, the memory 624 may include program instructions for controlling each of the motors of the surgical instrument 600 that are couplable to the common control module 610. For example, the memory 624 may include program instructions for controlling the firing motor 602, the closure motor 603, and the articulation motors 606a, 606b. Such program instructions may cause the processor 622 to control the firing, closure, and articulation functions in accordance with inputs from algorithms or control programs of the surgical instrument or tool.
In certain instances, one or more mechanisms and/or sensors such as, for example, sensors 630 can be employed to alert the processor 622 to the program instructions that should be used in a particular setting. For example, the sensors 630 may alert the processor 622 to use the program instructions associated with firing, closing, and articulating the end effector. In certain instances, the sensors 630 may comprise position sensors which can be employed to sense the position of the switch 614, for example. Accordingly, the processor 622 may use the program instructions associated with firing the knife of the end effector upon detecting, through the sensors 630 for example, that the switch 614 is in the first position 616; the processor 622 may use the program instructions associated with closing the anvil upon detecting, through the sensors 630 for example, that the switch 614 is in the second position 617; and the processor 622 may use the program instructions associated with articulating the end effector upon detecting, through the sensors 630 for example, that the switch 614 is in the third or fourth position 618a, 618b.
The surgical instrument 600 may comprise wired or wireless communication circuits to communicate with the modular communication hub as shown in
In one aspect, the surgical instrument 700 comprises a control circuit 710 configured to control an anvil 716 and a knife 714 (or cutting element including a sharp cutting edge) portion of an end effector 702, a removable staple cartridge 718, a shaft 740, and one or more articulation members 742a, 742b via a plurality of motors 704a-704e. A position sensor 734 may be configured to provide position feedback of the knife 714 to the control circuit 710. Other sensors 738 may be configured to provide feedback to the control circuit 710. A timer/counter 731 provides timing and counting information to the control circuit 710. An energy source 712 may be provided to operate the motors 704a-704e, and a current sensor 736 provides motor current feedback to the control circuit 710. The motors 704a-704e can be operated individually by the control circuit 710 in an open-loop or closed-loop feedback control.
In one aspect, the control circuit 710 may comprise one or more microcontrollers, microprocessors, or other suitable processors for executing instructions that cause the processor or processors to perform one or more tasks. In one aspect, a timer/counter 731 provides an output signal, such as the elapsed time or a digital count, to the control circuit 710 to correlate the position of the knife 714 as determined by the position sensor 734 with the output of the timer/counter 731 such that the control circuit 710 can determine the position of the knife 714 at a specific time (t) relative to a starting position or the time (t) when the knife 714 is at a specific position relative to a starting position. The timer/counter 731 may be configured to measure elapsed time, count external events, or time external events.
In one aspect, the control circuit 710 may be programmed to control functions of the end effector 702 based on one or more tissue conditions. The control circuit 710 may be programmed to sense tissue conditions, such as thickness, either directly or indirectly, as described herein. The control circuit 710 may be programmed to select a firing control program or closure control program based on tissue conditions. A firing control program may describe the distal motion of the displacement member. Different firing control programs may be selected to better treat different tissue conditions. For example, when thicker tissue is present, the control circuit 710 may be programmed to translate the displacement member at a lower velocity and/or with lower power. When thinner tissue is present, the control circuit 710 may be programmed to translate the displacement member at a higher velocity and/or with higher power. A closure control program may control the closure force applied to the tissue by the anvil 716. Other control programs control the rotation of the shaft 740 and the articulation members 742a, 742b.
In one aspect, the control circuit 710 may generate motor set point signals. The motor set point signals may be provided to various motor controllers 708a-708e. The motor controllers 708a-708e may comprise one or more circuits configured to provide motor drive signals to the motors 704a-704e to drive the motors 704a-704e as described herein. In some examples, the motors 704a-704e may be brushed DC electric motors. For example, the velocity of the motors 704a-704e may be proportional to the respective motor drive signals. In some examples, the motors 704a-704e may be brushless DC electric motors, and the respective motor drive signals may comprise a PWM signal provided to one or more stator windings of the motors 704a-704e. Also, in some examples, the motor controllers 708a-708e may be omitted and the control circuit 710 may generate the motor drive signals directly.
In one aspect, the control circuit 710 may initially operate each of the motors 704a-704e in an open-loop configuration for a first open-loop portion of a stroke of the displacement member. Based on the response of the surgical instrument 700 during the open-loop portion of the stroke, the control circuit 710 may select a firing control program in a closed-loop configuration. The response of the instrument may include a translation distance of the displacement member during the open-loop portion, a time elapsed during the open-loop portion, the energy provided to one of the motors 704a-704e during the open-loop portion, a sum of pulse widths of a motor drive signal, etc. After the open-loop portion, the control circuit 710 may implement the selected firing control program for a second portion of the displacement member stroke. For example, during a closed-loop portion of the stroke, the control circuit 710 may modulate one of the motors 704a-704e based on translation data describing a position of the displacement member in a closed-loop manner to translate the displacement member at a constant velocity.
In one aspect, the motors 704a-704e may receive power from an energy source 712. The energy source 712 may be a DC power supply driven by a main alternating current power source, a battery, a super capacitor, or any other suitable energy source. The motors 704a-704e may be mechanically coupled to individual movable mechanical elements such as the knife 714, anvil 716, shaft 740, articulation 742a, and articulation 742b via respective transmissions 706a-706e. The transmissions 706a-706e may include one or more gears or other linkage components to couple the motors 704a-704e to movable mechanical elements. A position sensor 734 may sense a position of the knife 714. The position sensor 734 may be or include any type of sensor that is capable of generating position data that indicate a position of the knife 714. In some examples, the position sensor 734 may include an encoder configured to provide a series of pulses to the control circuit 710 as the knife 714 translates distally and proximally. The control circuit 710 may track the pulses to determine the position of the knife 714. Other suitable position sensors may be used, including, for example, a proximity sensor. Other types of position sensors may provide other signals indicating motion of the knife 714. Also, in some examples, the position sensor 734 may be omitted. Where any of the motors 704a-704e is a stepper motor, the control circuit 710 may track the position of the knife 714 by aggregating the number and direction of steps that the motor 704 has been instructed to execute. The position sensor 734 may be located in the end effector 702 or at any other portion of the instrument. The outputs of each of the motors 704a-704e include a torque sensor 744a-744e to sense force and have an encoder to sense rotation of the drive shaft.
In one aspect, the control circuit 710 is configured to drive a firing member such as the knife 714 portion of the end effector 702. The control circuit 710 provides a motor set point to a motor control 708a, which provides a drive signal to the motor 704a. The output shaft of the motor 704a is coupled to a torque sensor 744a. The torque sensor 744a is coupled to a transmission 706a which is coupled to the knife 714. The transmission 706a comprises movable mechanical elements such as rotating elements and a firing member to control the movement of the knife 714 distally and proximally along a longitudinal axis of the end effector 702. In one aspect, the motor 704a may be coupled to the knife gear assembly, which includes a knife gear reduction set that includes a first knife drive gear and a second knife drive gear. A torque sensor 744a provides a firing force feedback signal to the control circuit 710. The firing force signal represents the force required to fire or displace the knife 714. A position sensor 734 may be configured to provide the position of the knife 714 along the firing stroke or the position of the firing member as a feedback signal to the control circuit 710. The end effector 702 may include additional sensors 738 configured to provide feedback signals to the control circuit 710. When ready to use, the control circuit 710 may provide a firing signal to the motor control 708a. In response to the firing signal, the motor 704a may drive the firing member distally along the longitudinal axis of the end effector 702 from a proximal stroke start position to a stroke end position distal to the stroke start position. As the firing member translates distally, a knife 714, with a cutting element positioned at a distal end, advances distally to cut tissue located between the staple cartridge 718 and the anvil 716.
In one aspect, the control circuit 710 is configured to drive a closure member such as the anvil 716 portion of the end effector 702. The control circuit 710 provides a motor set point to a motor control 708b, which provides a drive signal to the motor 704b. The output shaft of the motor 704b is coupled to a torque sensor 744b. The torque sensor 744b is coupled to a transmission 706b which is coupled to the anvil 716. The transmission 706b comprises movable mechanical elements such as rotating elements and a closure member to control the movement of the anvil 716 from the open and closed positions. In one aspect, the motor 704b is coupled to a closure gear assembly, which includes a closure reduction gear set that is supported in meshing engagement with the closure spur gear. The torque sensor 744b provides a closure force feedback signal to the control circuit 710. The closure force feedback signal represents the closure force applied to the anvil 716. The position sensor 734 may be configured to provide the position of the closure member as a feedback signal to the control circuit 710. Additional sensors 738 in the end effector 702 may provide the closure force feedback signal to the control circuit 710. The pivotable anvil 716 is positioned opposite the staple cartridge 718. When ready to use, the control circuit 710 may provide a closure signal to the motor control 708b. In response to the closure signal, the motor 704b advances a closure member to grasp tissue between the anvil 716 and the staple cartridge 718.
In one aspect, the control circuit 710 is configured to rotate a shaft member such as the shaft 740 to rotate the end effector 702. The control circuit 710 provides a motor set point to a motor control 708c, which provides a drive signal to the motor 704c. The output shaft of the motor 704c is coupled to a torque sensor 744c. The torque sensor 744c is coupled to a transmission 706c which is coupled to the shaft 740. The transmission 706c comprises movable mechanical elements such as rotating elements to control the rotation of the shaft 740 clockwise or counterclockwise up to and over 360°. In one aspect, the motor 704c is coupled to the rotational transmission assembly, which includes a tube gear segment that is formed on (or attached to) the proximal end of the proximal closure tube for operable engagement by a rotational gear assembly that is operably supported on the tool mounting plate. The torque sensor 744c provides a rotation force feedback signal to the control circuit 710. The rotation force feedback signal represents the rotation force applied to the shaft 740. The position sensor 734 may be configured to provide the position of the closure member as a feedback signal to the control circuit 710. Additional sensors 738 such as a shaft encoder may provide the rotational position of the shaft 740 to the control circuit 710.
In a circular stapler implementation, the transmission 706c element is coupled to the trocar to advance or retract the trocar. In one aspect, the shaft 740 is part of a closure system that comprises a trocar 201904 and a trocar actuator 201906 as discussed in more detail with reference to
In one aspect, the control circuit 710 is configured to articulate the end effector 702. The control circuit 710 provides a motor set point to a motor control 708d, which provides a drive signal to the motor 704d. The output shaft of the motor 704d is coupled to a torque sensor 744d. The torque sensor 744d is coupled to a transmission 706d which is coupled to an articulation member 742a. The transmission 706d comprises movable mechanical elements such as articulation elements to control the articulation of the end effector 702±65°. In one aspect, the motor 704d is coupled to an articulation nut, which is rotatably journaled on the proximal end portion of the distal spine portion and is rotatably driven thereon by an articulation gear assembly. The torque sensor 744d provides an articulation force feedback signal to the control circuit 710. The articulation force feedback signal represents the articulation force applied to the end effector 702. Sensors 738, such as an articulation encoder, may provide the articulation position of the end effector 702 to the control circuit 710.
In another aspect, the articulation function of the robotic surgical system 700 may comprise two articulation members, or links, 742a, 742b. These articulation members 742a, 742b are driven by separate disks on the robot interface (the rack) which are driven by the two motors 708d, 708e. When the separate firing motor 704a is provided, each of articulation links 742a, 742b can be antagonistically driven with respect to the other link in order to provide a resistive holding motion and a load to the head when it is not moving and to provide an articulation motion as the head is articulated. The articulation members 742a, 742b attach to the head at a fixed radius as the head is rotated. Accordingly, the mechanical advantage of the push-and-pull link changes as the head is rotated. This change in the mechanical advantage may be more pronounced with other articulation link drive systems.
In one aspect, the one or more motors 704a-704e may comprise a brushed DC motor with a gearbox and mechanical links to a firing member, closure member, or articulation member. Another example includes electric motors 704a-704e that operate the movable mechanical elements such as the displacement member, articulation links, closure tube, and shaft. An outside influence is an unmeasured, unpredictable influence of things like tissue, surrounding bodies, and friction on the physical system. Such outside influence can be referred to as drag, which acts in opposition to one of electric motors 704a-704e. The outside influence, such as drag, may cause the operation of the physical system to deviate from a desired operation of the physical system.
In one aspect, the position sensor 734 may be implemented as an absolute positioning system. In one aspect, the position sensor 734 may comprise a magnetic rotary absolute positioning system implemented as an AS5055EQFT single-chip magnetic rotary position sensor available from Austria Microsystems, AG. The position sensor 734 may interface with the control circuit 710 to provide an absolute positioning system. The position may include multiple Hall-effect elements located above a magnet and coupled to a CORDIC processor, also known as the digit-by-digit method and Volder's algorithm, that is provided to implement a simple and efficient algorithm to calculate hyperbolic and trigonometric functions that require only addition, subtraction, bitshift, and table lookup operations.
In one aspect, the control circuit 710 may be in communication with one or more sensors 738. The sensors 738 may be positioned on the end effector 702 and adapted to operate with the surgical instrument 700 to measure the various derived parameters such as the gap distance versus time, tissue compression versus time, and anvil strain versus time. The sensors 738 may comprise a magnetic sensor, a magnetic field sensor, a strain gauge, a load cell, a pressure sensor, a force sensor, a torque sensor, an inductive sensor such as an eddy current sensor, a resistive sensor, a capacitive sensor, an optical sensor, and/or any other suitable sensor for measuring one or more parameters of the end effector 702. The sensors 738 may include one or more sensors. The sensors 738 may be located on the staple cartridge 718 deck to determine tissue location using segmented electrodes. The torque sensors 744a-744e may be configured to sense force such as firing force, closure force, and/or articulation force, among others. Accordingly, the control circuit 710 can sense (1) the closure load experienced by the distal closure tube and its position, (2) the firing member at the rack and its position, (3) what portion of the staple cartridge 718 has tissue on it and (4) the load and position on both articulation rods.
In one aspect, the one or more sensors 738 may comprise a strain gauge, such as a micro-strain gauge, configured to measure the magnitude of the strain in the anvil 716 during a clamped condition. The strain gauge provides an electrical signal whose amplitude varies with the magnitude of the strain. The sensors 738 may comprise a pressure sensor configured to detect a pressure generated by the presence of compressed tissue between the anvil 716 and the staple cartridge 718. The sensors 738 may be configured to detect impedance of a tissue section located between the anvil 716 and the staple cartridge 718 that is indicative of the thickness and/or fullness of tissue located therebetween.
In one aspect, the sensors 738 may be implemented as one or more limit switches, electromechanical devices, solid-state switches, Hall-effect devices, magneto-resistive (MR) devices, giant magneto-resistive (GMR) devices, magnetometers, among others. In other implementations, the sensors 738 may be implemented as solid-state switches that operate under the influence of light, such as optical sensors, IR sensors, ultraviolet sensors, among others. Still, the switches may be solid-state devices such as transistors (e.g., FET, junction FET, MOSFET, bipolar, and the like). In other implementations, the sensors 738 may include electrical conductorless switches, ultrasonic switches, accelerometers, and inertial sensors, among others.
In one aspect, the sensors 738 may be configured to measure forces exerted on the anvil 716 by the closure drive system. For example, one or more sensors 738 can be at an interaction point between the closure tube and the anvil 716 to detect the closure forces applied by the closure tube to the anvil 716. The forces exerted on the anvil 716 can be representative of the tissue compression experienced by the tissue section captured between the anvil 716 and the staple cartridge 718. The one or more sensors 738 can be positioned at various interaction points along the closure drive system to detect the closure forces applied to the anvil 716 by the closure drive system. The one or more sensors 738 may be sampled in real time during a clamping operation by the processor of the control circuit 710. The control circuit 710 receives real-time sample measurements to provide and analyze time-based information and assess, in real time, closure forces applied to the anvil 716.
In one aspect, a current sensor 736 can be employed to measure the current drawn by each of the motors 704a-704e. The force required to advance any of the movable mechanical elements such as the knife 714 corresponds to the current drawn by one of the motors 704a-704e. The force is converted to a digital signal and provided to the control circuit 710. The control circuit 710 can be configured to simulate the response of the actual system of the instrument in the software of the controller. A displacement member can be actuated to move a knife 714 in the end effector 702 at or near a target velocity. The surgical instrument 700 can include a feedback controller, which can be one of any feedback controllers, including, but not limited to a PID, a state feedback, a linear-quadratic (LQR), and/or an adaptive controller, for example. The surgical instrument 700 can include a power source to convert the signal from the feedback controller into a physical input such as case voltage, PWM voltage, frequency modulated voltage, current, torque, and/or force, for example. Additional details are disclosed in U.S. patent application Ser. No. 15/636,829, titled CLOSED LOOP VELOCITY CONTROL TECHNIQUES FOR ROBOTIC SURGICAL INSTRUMENT, filed Jun. 29, 2017, which is herein incorporated by reference in its entirety.
The surgical instrument 700 may comprise wired or wireless communication circuits to communicate with the modular communication hub as shown in
The position, movement, displacement, and/or translation of a linear displacement member, such as the knife 764, can be measured by an absolute positioning system, sensor arrangement, and position sensor 784. Because the knife 764 is coupled to a longitudinally movable drive member, the position of the knife 764 can be determined by measuring the position of the longitudinally movable drive member employing the position sensor 784. Accordingly, in the following description, the position, displacement, and/or translation of the knife 764 can be achieved by the position sensor 784 as described herein. A control circuit 760 may be programmed to control the translation of the displacement member, such as the knife 764. The control circuit 760, in some examples, may comprise one or more microcontrollers, microprocessors, or other suitable processors for executing instructions that cause the processor or processors to control the displacement member, e.g., the knife 764, in the manner described. In one aspect, a timer/counter 781 provides an output signal, such as the elapsed time or a digital count, to the control circuit 760 to correlate the position of the knife 764 as determined by the position sensor 784 with the output of the timer/counter 781 such that the control circuit 760 can determine the position of the knife 764 at a specific time (t) relative to a starting position. The timer/counter 781 may be configured to measure elapsed time, count external events, or time external events.
The control circuit 760 may generate a motor set point signal 772. The motor set point signal 772 may be provided to a motor controller 758. The motor controller 758 may comprise one or more circuits configured to provide a motor drive signal 774 to the motor 754 to drive the motor 754 as described herein. In some examples, the motor 754 may be a brushed DC electric motor. For example, the velocity of the motor 754 may be proportional to the motor drive signal 774. In some examples, the motor 754 may be a brushless DC electric motor and the motor drive signal 774 may comprise a PWM signal provided to one or more stator windings of the motor 754. Also, in some examples, the motor controller 758 may be omitted, and the control circuit 760 may generate the motor drive signal 774 directly.
The motor 754 may receive power from an energy source 762. The energy source 762 may be or include a battery, a super capacitor, or any other suitable energy source. The motor 754 may be mechanically coupled to the knife 764 via a transmission 756. The transmission 756 may include one or more gears or other linkage components to couple the motor 754 to the knife 764. In one aspect, the transmission is coupled to a trocar actuator of a circular stapler to advance or retract the trocar. A position sensor 784 may sense a position of the knife 764, the trocar, or the anvil 766, or a combination thereof. The position sensor 784 may be or include any type of sensor that is capable of generating position data that indicate a position of the knife 764. In some examples, the position sensor 784 may include an encoder configured to provide a series of pulses to the control circuit 760 as the knife 764 translates distally and proximally. The control circuit 760 may track the pulses to determine the position of the knife 764. Other suitable position sensors may be used, including, for example, a proximity sensor. Other types of position sensors may provide other signals indicating motion of the knife 764. Also, in some examples, the position sensor 784 may be omitted. Where the motor 754 is a stepper motor, the control circuit 760 may track the position of the knife 764 by aggregating the number and direction of steps that the motor 754 has been instructed to execute. The position sensor 784 may be located in the end effector 752 or at any other portion of the instrument.
In a circular stapler implementation, the transmission 756 element may be coupled to the trocar to advance or retract the trocar, to the knife 764 to advance or retract the knife 764, or the anvil 766 to advance or retract the anvil 766. These functions may be implemented with a single motor using suitable clutching mechanism or may be implemented using separate motors as shown with reference to
The control circuit 760 may be in communication with one or more sensors 788. The sensors 788 may be positioned on the end effector 752 and adapted to operate with the surgical instrument 750 to measure the various derived parameters such as gap distance versus time, tissue compression versus time, and anvil strain versus time. The sensors 788 may comprise a magnetic sensor, a magnetic field sensor, a strain gauge, a pressure sensor, a force sensor, an inductive sensor such as an eddy current sensor, a resistive sensor, a capacitive sensor, an optical sensor, and/or any other suitable sensor for measuring one or more parameters of the end effector 752. The sensors 788 may include one or more sensors. In one aspect, the sensors 788 may be configured to determine the position of a trocar of a circular stapler.
The one or more sensors 788 may comprise a strain gauge, such as a micro-strain gauge, configured to measure the magnitude of the strain in the anvil 766 during a clamped condition. The strain gauge provides an electrical signal whose amplitude varies with the magnitude of the strain. The sensors 788 may comprise a pressure sensor configured to detect a pressure generated by the presence of compressed tissue between the anvil 766 and the staple cartridge 768. The sensors 788 may be configured to detect impedance of a tissue section located between the anvil 766 and the staple cartridge 768 that is indicative of the thickness and/or fullness of tissue located therebetween.
The sensors 788 may be is configured to measure forces exerted on the anvil 766 by a closure drive system. For example, one or more sensors 788 can be at an interaction point between a closure tube and the anvil 766 to detect the closure forces applied by a closure tube to the anvil 766. The forces exerted on the anvil 766 can be representative of the tissue compression experienced by the tissue section captured between the anvil 766 and the staple cartridge 768. The one or more sensors 788 can be positioned at various interaction points along the closure drive system to detect the closure forces applied to the anvil 766 by the closure drive system. The one or more sensors 788 may be sampled in real time during a clamping operation by a processor of the control circuit 760. The control circuit 760 receives real-time sample measurements to provide and analyze time-based information and assess, in real time, closure forces applied to the anvil 766.
A current sensor 786 can be employed to measure the current drawn by the motor 754. The force required to advance the knife 764 corresponds to the current drawn by the motor 754. The force is converted to a digital signal and provided to the control circuit 760.
The control circuit 760 can be configured to simulate the response of the actual system of the instrument in the software of the controller. A displacement member can be actuated to move a knife 764 in the end effector 752 at or near a target velocity. The surgical instrument 750 can include a feedback controller, which can be one of any feedback controllers, including, but not limited to a PID, a state feedback, LQR, and/or an adaptive controller, for example. The surgical instrument 750 can include a power source to convert the signal from the feedback controller into a physical input such as case voltage, PWM voltage, frequency modulated voltage, current, torque, and/or force, for example.
The actual drive system of the surgical instrument 750 is configured to drive the displacement member, cutting member, or knife 764, by a brushed DC motor with gearbox and mechanical links to an articulation and/or knife system. Another example is the electric motor 754 that operates the displacement member and the articulation driver, for example, of an interchangeable shaft assembly. An outside influence is an unmeasured, unpredictable influence of things like tissue, surrounding bodies and friction on the physical system. Such outside influence can be referred to as drag which acts in opposition to the electric motor 754. The outside influence, such as drag, may cause the operation of the physical system to deviate from a desired operation of the physical system.
Various example aspects are directed to a surgical instrument 750 comprising an end effector 752 with motor-driven surgical stapling and cutting implements. For example, a motor 754 may drive a displacement member distally and proximally along a longitudinal axis of the end effector 752. The end effector 752 may comprise a pivotable anvil 766 and, when configured for use, a staple cartridge 768 positioned opposite the anvil 766. A clinician may grasp tissue between the anvil 766 and the staple cartridge 768, as described herein. When ready to use the instrument 750, the clinician may provide a firing signal, for example by depressing a trigger of the instrument 750. In response to the firing signal, the motor 754 may drive the displacement member distally along the longitudinal axis of the end effector 752 from a proximal stroke begin position to a stroke end position distal of the stroke begin position. As the displacement member translates distally, a knife 764 with a cutting element positioned at a distal end, may cut the tissue between the staple cartridge 768 and the anvil 766.
In various examples, the surgical instrument 750 may comprise a control circuit 760 programmed to control the distal translation of the displacement member, such as the knife 764, for example, based on one or more tissue conditions. The control circuit 760 may be programmed to sense tissue conditions, such as thickness, either directly or indirectly, as described herein. The control circuit 760 may be programmed to select a firing control program based on tissue conditions. A firing control program may describe the distal motion of the displacement member. Different firing control programs may be selected to better treat different tissue conditions. For example, when thicker tissue is present, the control circuit 760 may be programmed to translate the displacement member at a lower velocity and/or with lower power. When thinner tissue is present, the control circuit 760 may be programmed to translate the displacement member at a higher velocity and/or with higher power.
In some examples, the control circuit 760 may initially operate the motor 754 in an open loop configuration for a first open loop portion of a stroke of the displacement member. Based on a response of the instrument 750 during the open loop portion of the stroke, the control circuit 760 may select a firing control program. The response of the instrument may include, a translation distance of the displacement member during the open loop portion, a time elapsed during the open loop portion, energy provided to the motor 754 during the open loop portion, a sum of pulse widths of a motor drive signal, etc. After the open loop portion, the control circuit 760 may implement the selected firing control program for a second portion of the displacement member stroke. For example, during the closed loop portion of the stroke, the control circuit 760 may modulate the motor 754 based on translation data describing a position of the displacement member in a closed loop manner to translate the displacement member at a constant velocity. Additional details are disclosed in U.S. patent application Ser. No. 15/720,852, titled SYSTEM AND METHODS FOR CONTROLLING A DISPLAY OF A SURGICAL INSTRUMENT, filed Sep. 29, 2017, which is herein incorporated by reference in its entirety.
The surgical instrument 750 may comprise wired or wireless communication circuits to communicate with the modular communication hub as shown in
With reference to
In one aspect, the position sensor 734, 784 may be implemented as an absolute positioning system comprising a magnetic rotary absolute positioning system implemented as an AS5055EQFT single-chip magnetic rotary position sensor available from Austria Microsystems, AG. The position sensor 734, 784 may interface with the control circuit 760 to provide an absolute positioning system. The position may include multiple Hall-effect elements located above a magnet and coupled to a CORDIC processor, also known as the digit-by-digit method and Volder's algorithm, that is provided to implement a simple and efficient algorithm to calculate hyperbolic and trigonometric functions that require only addition, subtraction, bitshift, and table lookup operations.
In one aspect, the knife 714, 764 may be implemented as a knife member comprising a knife body that operably supports a tissue cutting blade thereon and may further include anvil engagement tabs or features and channel engagement features or a foot. In one aspect, the staple cartridge 718, 768 may be implemented as a standard (mechanical) surgical fastener cartridge, which may be a linear staple cartridge or a circular staple cartridge. In one aspect, the RF cartridge 796 (
The position, movement, displacement, and/or translation of a linear displacement member, such as the trocar, the knife 714, 764, or the anvil 716, 766 can be measured by an absolute positioning system, sensor arrangement, and position sensor represented as position sensor 734, 784. Because the knife 714, 764 is coupled to the longitudinally movable drive member, the position of the trocar, the knife 714, 764, or the anvil 716, 766 can be determined by measuring the position of the longitudinally movable drive member employing the position sensor 734, 784. Accordingly, in the following description, the position, displacement, and/or translation of the trocar, the knife 764, or the anvil 716, 766 can be achieved by the position sensor 734, 784 as described herein. A control circuit 710, 760 may be programmed to control the translation of the displacement member, such as the trocar, the knife 764, or the anvil 716, 766 as described herein. The control circuit 710, 760, in some examples, may comprise one or more microcontrollers, microprocessors, or other suitable processors for executing instructions that cause the processor or processors to control the displacement member, e.g., the trocar, the knife 764, or the anvil 716, 766 in the manner described. In one aspect, a timer/counter 731, 781 provides an output signal, such as the elapsed time or a digital count, to the control circuit 710, 760 to correlate the position of trocar, the knife 714, 764, or the anvil 716, 766 as determined by the position sensor 734, 784 with the output of the timer/counter 731, 781 such that the control circuit 710, 760 can determine the position of the trocar, the knife 714, 764, or the anvil 716, 766 at a specific time (t) relative to a starting position. The timer/counter 731, 781 may be configured to measure elapsed time, count external events, or time external events.
The control circuit 710, 760 may generate a motor set point signal 772. The motor set point signal 772 (to each motor when multiple motors are used) may be provided to a motor controller 708a-e, 758. The motor controller 708a-e, 758 may comprise one or more circuits configured to provide a motor drive signal 774 to the motor 704a-e, 754 to drive the motor 704a-e, 754 as described herein. In some examples, the motor 704a-e, 754 may be a brushed DC electric motor. For example, the velocity of the motor 704a-e, 754 may be proportional to the motor drive signal 774. In some examples, the motor 704a-e, 754 may be a brushless DC electric motor and the motor drive signal 774 may comprise a PWM signal provided to one or more stator windings of the motor 704a-e, 754. Also, in some examples, the motor controller 708a-e, 758 may be omitted, and the control circuit 710, 760 may generate the motor drive signal 774 directly.
The motor 704a-e, a battery, a super capacitor, or any other suitable energy source. The motor 704a-e, 754 may be mechanically coupled to the trocar, the knife 764, or the anvil 716, 766 via a transmission 706a-e, 756. The transmission 706a-e, 756 may include one or more gears or other linkage components to couple the motor 704a-e, 754 to the trocar, the knife 764, or the anvil 716, 766. A position sensor 734, 784 may sense a position of the trocar, the knife 714, 764, or the anvil 716, 766. The position sensor 734, 784 may be or include any type of sensor that is capable of generating position data that indicate a position of the trocar, the knife 764, or the anvil 716, 766. In some examples, the position sensor 734, 784 may include an encoder configured to provide a series of pulses to the control circuit 710, 760 as the trocar, the knife 764, or the anvil 716, 766 translates distally and proximally. The control circuit 710, 760 may track the pulses to determine the position of the trocar, the knife 714, 764, or the anvil 716, 766. Other suitable position sensors may be used, including, for example, a proximity sensor. Other types of position sensors may provide other signals indicating motion of the trocar, the knife 764, or the anvil 716, 766. Also, in some examples, the position sensor 734, 784 may be omitted. Where the motor 704a-e, 754 is a stepper motor, the control circuit 710, 760 may track the position of the trocar, the knife 714, 764, or the anvil 716, 766 by aggregating the number and direction of steps that the motor 704a-e, 754 has been instructed to execute. The position sensor 734, 784 may be located in the end effector 702, 752, 792 or at any other portion of the instrument.
The control circuit 710, 760 may be in communication with one or more sensors 738, 788. The sensors 738, 788 may be positioned on the end effector 702, 752, 792 and adapted to operate with the surgical instrument 700, 750, 790 to measure the various derived parameters such as gap distance versus time, tissue compression versus time, and anvil strain versus time. The sensors 738, 788 may comprise a magnetic sensor, a magnetic field sensor, a strain gauge, a pressure sensor, a force sensor, an inductive sensor such as an eddy current sensor, a resistive sensor, a capacitive sensor, an optical sensor, and/or any other suitable sensor for measuring one or more parameters of the end effector 702, 752, 792. The sensors 738, 788 may include one or more sensors.
The one or more sensors 738, 788 may comprise a strain gauge, such as a micro-strain gauge, configured to measure the magnitude of the strain in the anvil 716, 766 during a clamped condition. The strain gauge provides an electrical signal whose amplitude varies with the magnitude of the strain. The sensor 738, 788 may comprise a pressure sensor configured to detect a pressure generated by the presence of compressed tissue between the anvil 716, 766 and the staple cartridge 718, 768. The sensors 738, 788 may be configured to detect impedance of a tissue section located between the anvil 716, 766 and the staple cartridge 718, 768 that is indicative of the thickness and/or fullness of tissue located therebetween.
The sensors 738, 788 may be is configured to measure forces exerted on the anvil 716, 766 by the closure drive system. For example, one or more sensors 738, 788 can be at an interaction point between a closure tube and the anvil 716, 766 to detect the closure forces applied by a closure tube to the anvil 716, 766. The forces exerted on the anvil 716, 766 can be representative of the tissue compression experienced by the tissue section captured between the anvil 716, 766 and the staple cartridge 738, 768. The one or more sensors 738, 788 can be positioned at various interaction points along the closure drive system to detect the closure forces applied to the anvil 716, 766 by the closure drive system. The one or more sensors 738, 788 may be sampled in real time during a clamping operation by a processor portion of the control circuit 710, 760. The control circuit 760 receives real-time sample measurements to provide and analyze time-based information and assess, in real time, closure forces applied to the anvil 716, 766.
A current sensor 736, 786 can be employed to measure the current drawn by the motor 704a-e, 754. The force required to advance the trocar, the knife 714, 764, or the anvil 716, 766 corresponds to the current drawn by the motor 704a-e, 754. The force is converted to a digital signal and provided to the control circuit 710, 760.
With reference to
The surgical instrument 790 may comprise wired or wireless communication circuits to communicate with the modular communication hub as shown in
Additional details are disclosed in U.S. patent application Ser. No. 15/636,096, titled SURGICAL SYSTEM COUPLABLE WITH STAPLE CARTRIDGE AND RADIO FREQUENCY CARTRIDGE, AND METHOD OF USING SAME, filed Jun. 28, 2017, which is herein incorporated by reference in its entirety.
In some instances, it may be desirable to provide motorized control of a circular stapling instrument. The examples below include merely an illustrative version of a circular stapling instrument where a single motor can be used to control both clamping and cutting/stapling of tissue via a single rotary drive.
The stapling head assembly 201802 is operable to clamp tissue, sever tissue, and staple tissue all in response to a single rotary input communicated via the shaft assembly 201806. Accordingly, actuation inputs translated linearly through shaft assembly 201806 are not required for the stapling head assembly 201802, though the stapling head assembly 201802 may comprise a translating clutch feature. By way of example only, at least part of stapling head assembly 201802 may be configured in accordance with at least some of the teachings of U.S. patent application Ser. No. 13/716,318, entitled “Motor Driven Rotary Input Circular Stapler with Modular End Effector,” filed on Dec. 17, 2012, and published as U.S. Pat. Pub. No. 2014/0166728 on Jun. 19, 2014, the disclosure of which is incorporated by reference herein. Other suitable configurations for the stapling head assembly 201802 will be apparent to those of ordinary skill in the art in view of the teachings herein.
The shaft assembly 201806 couples the handle assembly 201808 with the stapling head assembly 201802. The shaft assembly 201806 comprises a single actuation feature, rotary driver actuator 201814 shown in
The handle assembly 201808 is shown in
As shown in
Another conductive metal band 201860 is secured to the handle housing 201816. Each end of the metal band 201860 forms a respective spring contact 201862, 201864. The motor housing 201818 translates proximally and/or distally relative to handle housing 201816 to selectively couple and/or decouple the spring contacts 201862, 201864 with annular contacts 201856, 201858. In particular, when the motor housing 201818 is in a distal position, the spring contact 201862 engages the annular contact 201856 and the spring contact 201864 engages the annular contact 201858 to couple the battery 201822 with the motor 201820 and supply power to the motor 201820. It should be understood that, since the spring contacts 201862, 201864 are part of the same conductive metal band 201860, and since the contacts 201836, 201840 are already coupled via a band 201866, the engagement between the spring contacts 201862, 201864 and the annular contacts 201856, 201858 completes a circuit between the battery 201822 and the motor 201820. This positioning is used to provide motorized actuation of the stapling head assembly 201802. When the motor housing 201818 is in a proximal position, the spring contacts 201862, 201864 are decoupled from the annular contacts 201856, 201858, such that the battery 201822 is decoupled from the motor 201820 and the motor 201820 does not receive power. This positioning is used to provide manual actuation of stapling head assembly 201802. The annular shape of the annular contacts 201856, 201858 enables proper contact between the spring contacts 201862, 201864 and the annular contacts 201856, 201858 regardless of the angular position of the motor housing 201818 within the handle housing 201816. In some versions, the band 201860 may include a break that is coupled with an external switch, such that a user may actuate the external switch in order to complete the coupling between the battery 201822 and the motor 201820 after the motor housing 201818 is in the distal position.
A proximal end of motor housing 201818 is fixedly secured to rotation knob 201812, as shown in
An operational mode selection assembly is positioned distal to motor housing 201818 within handle housing 201816. As shown in
As shown in
First gear 201874 is positioned around second gear 201878, as shown in
Referring back to
When firing ring 201826 is in a distal position, protrusions of coupling member 201890 are positioned within slot 201894 of handle housing 201816. When coupling member 201890 is positioned within slot 201894, coupling member 201890 couples driver actuator 201814 with features in stapling head assembly 201802 operable to adjust the gap distance d between anvil 201804 and stapling head assembly 201802. For instance, if coupling member 201890 is rotated clockwise within slot 201894, the gap distance d is decreased to close anvil 201804 relative to stapling head assembly 201802. If coupling member 201890 is rotated counterclockwise within slot 201894, the gap distance d is increased to open anvil 201804 relative to stapling head assembly 201802. A resilient member 201888 is positioned proximal to coupling member 201890 to bias coupling member 201890 distally (
As shown in
Referring now to
As shown in
Anvil head 201920 of the present example comprises a plurality of staple forming pockets 201936 formed in a proximal face 201940 of anvil head 201920. Accordingly, when anvil 201804 is in the closed position and staples 201902 are driven out of stapling head assembly 201802 into staple forming pockets 201936, as shown in
With anvil 201804 as a separate component, it should be understood that anvil 201804 may be inserted and secured to a portion of tissue 201916 prior to being coupled to stapling head assembly 201802. By way of example only, anvil 201804 may be inserted into and secured to a first tubular portion of tissue 201916 while instrument 201800 is inserted into and secured to a second tubular portion of tissue 201916. For instance, the first tubular portion of tissue 201916 may be sutured to or about a portion of anvil 201804, and the second tubular portion of tissue 201916 may be sutured to or about trocar 201904.
As shown in
When anvil 201804 is coupled to trocar 201904, the distance between a proximal face of the anvil 201804 and a distal face of stapling head assembly 201802 defines a gap distance d. Trocar 201904 of the present example is translatable longitudinally relative to stapling head assembly 201802 via an adjusting knob 201812 (
Still referring to
Stapling head assembly 201802 of the present example is coupled to a distal end of shaft assembly 201806 and comprises a tubular casing 201926 housing a slidable staple driver 201910 and a plurality of staples 201902 contained within staple pockets 201928. Shaft assembly 201806 of the present example comprises an outer tubular member 201942 and a driver actuator 201908. Staples 201902 and staple pockets 201928 are disposed in a circular array about tubular casing 201926. In the present example, staples 201902 and staple pockets 201928 are disposed in a pair of concentric annular rows of staples 201902 and staple pockets 201928. Staple driver 201910 is operable to actuate longitudinally within tubular casing 201926 in response to rotation of actuator handle assembly 201808 (
The motorized circular stapling instruments 201800, 201000 described herein with reference to
In various aspects the present disclosure provides a powered stapling device that is configured with circular stapler control algorithms to adjust independently actuatable staple rows based on the force-to-close (FTC) a clamp on the tissue or the tissue gap between the clamp and the stapler. Accordingly, the stroke of an outer row of staple heights can be adjusted based on the force, tissue gap, or tissue creep during firing the first row of staples, for example. Adjustment of staple height of at least one row of staples based on the sensed tissue thickness or force in closing focuses on the adjustment of a selection window based on tissue thickness/load in closing. In other aspects, the user adjustable range of selectable staple heights may be varied based on the tissue loading detected during the anvil retraction operation. As the tissue compression is increased or the tissue gap is decreased the nominal staple height for the center of the window may be adjusted. In other aspects, the adjustment of the window range of acceptable staples is displayed as the compression is increased or the tissue gap decreased. In other aspects, once the tissue compression is completed then stabilization of the tissue, can further adjust the acceptable range based on the rate of tissue creep and time waited.
In various aspects, staple-forming parameters of a powered circular stapler can be adjusted based on a sensed tissue property. In one aspect, a control algorithm can be configured to adjust staple height of at least one row of staples based on the sensed tissue thickness or force in closing or in firing a former staple row. In one aspect, the user-adjustable range of selectable staple heights is varied based on the tissue loading detected during the anvil retraction operation. As the tissue compression is increased or the tissue gap is decreased, the nominal staple height for the center of the window is adjusted. In one aspect, the adjustment of the window range of an acceptable staple is displayed as the compression is increased or the tissue gap decreased. In one aspect, once the tissue compression is completed and the tissue is stabilized, the control algorithm can further be configured to adjust the acceptable parameter ranges based on the rate of tissue creep and wait time.
With reference now to
The independently actuatable staple rows 201010, 201014 may be formed based on the FTC clamped by the anvil 201004 on the tissue 201006, 201008 or the tissue gap δ1, δ2 between the anvil 201004 clamp and the circular stapling head assembly 201002. Accordingly, the stroke of the outer row of staple 201014 heights can be adjusted based on the clamping FTC, tissue gap δ1, δ2, or tissue creep during firing of the first row of staples 201010, for example. Adjustment of the staple height of at least one row of staples based on the sensed tissue thickness or FTC focuses on the adjustment of a selection window based on tissue 201006, 201008 thickness/load in closing. In other aspects, the user adjustable range of selectable staple heights may be varied based on the tissue loading detected during an anvil 201004 retraction operation. As the tissue compression (e.g., FTC) is increased or the tissue gap δ1, δ2 is decreased the nominal staple height for the center of the window may be adjusted as described herein with reference to
With reference to
In one aspect, the control algorithm of the powered circular stapling device 201000 adjusts the height δ1, δ2 of the anvil 201004 to prevent creep below the lowest setting.
The graph 201070 depicts FTC (lbs), shown along the vertical axis, as a function of anvil 201004 closure gap δ1, δ2, shown along the horizontal axis, for thin tissue shown by a first curve 201072 and for thick tissue shown by a second curve 201074. Viable staple height windows 201076, 201078, 201080, 201082 are defined between the two curves 201072, 201074. A thin tissue zone 201084 is defined between a first anvil 201004 gap δa and a third anvil 201004 gap δc. A thick tissue zone 201086 is defined between a second anvil 201004 gap δb, and a fourth anvil 201004 gap δd. By way of example, the first anvil 201004 gap δa is ˜0.060 mm, the second anvil 201004 gap δb is ˜0.070 mm, a third anvil 201004 gap δc is ˜0.080 mm, and a fourth anvil 201004 gap δd is ˜0.085 mm. Each viable staple height windows 201076, 201078, 201080, 201082 defines a viable staple firing range 201088, 201090, 201092. As shown by the window 201082, each of the viable staple height windows 201076, 201078, 201080, 201082 includes a window indicator 201092 that shows the maximum and minimum of the viable staple firing range 201088, 201090, 201092. Accordingly, the powered circular stapling device 201000 adjusts the height δ of the anvil 201004 to prevent creep below the lowest setting.
With reference to
In particular, the process 201050 depicted in
The malformed staples may be detected using a variety of techniques. Among these, are the staple formation detection techniques described with reference to
In certain instances, an electrical circuit can be positioned in the path of a properly forming staple. In such instances, an interruption in electrical continuity of an electrical circuit can be construed as an indication that a staple was properly formed while persistence in the electrical continuity of the electrical circuit can be construed as an indication that the staple was improperly formed. In other instances, an electrical circuit can be positioned in a likely path of an improperly forming staple. In such other instances, an interruption in electrical continuity of the electrical circuit can be construed as an indication that a staple was improperly formed while persistence in the electrical continuity of the electrical circuit can be construed as an indication that the staple was properly formed.
Referring to
To prevent false readings that would occur if a portion of the electric circuit other than the electrically conductive circuit element 201092 was severed, portions of the electric circuit, other than the electrically conductive circuit element 201092, can be armored with a tough protective outer layer. Alternatively, portions of the electric circuit, other than the electrically conductive circuit element 201092, can be layered and/or run below the tissue-contacting surface 210094 of the anvil such as the anvil 201004 shown in
The number of electrically conductive circuit elements 201092 can vary depending on the number of staple legs 201122 that are tracked. In at least one instance, every staple-forming pocket 201090 may include an electrically conductive circuit element 201092. Alternatively, the electrical circuits can be strategically positioned against staples with a relatively high likelihood of malformation. Since improper staple formation is more likely to occur in inner rows of staples than outer rows of staples during a firing sequence of the powered circular stapling device 201000, the electrically conductive circuit elements 201092 can be located at the inner and outer rows of the staple-forming pockets 201090 on both sides of the anvil.
All the pockets 201090 of an inner or outer row of staple-forming pockets 201090 can include electrically conductive circuit elements 201092. Accordingly, an anvil can include an electric circuit for each of the staple-forming pockets 201090 in an inner or outer row of staple-forming pockets 201090 of the anvil. Alternatively, to reduce the size of the anvil, the electrically conductive circuit elements 201092 can be concentrated at every other pocket 201090 in the inner or outer rows. In at least one example, only proximal staple legs 201122 of the staples 201120 in an inner row of staples 201120 can be tracked for malformation by the electrical circuits. Alternatively, only distal staple legs 210122 of the staples 201120 in an inner row of staples 201120 can be tracked for malformation by the electrical circuits.
The position of an electrically conductive circuit element 201092 of an electrical circuit with respect to a tissue-contacting surface 201094 of an anvil can dictate whether a change in the status of the electrical circuit can be construed as an indication of proper or improper formation of a staple leg 201122. An electrically conductive circuit element 201092 can be disposed adjacent a staple-forming pocket 201090. In one example, the electrically conductive circuit element 201092 can be disposed at an outer perimeter defined by the staple-forming pocket 201090. In another example, an electrically conductive circuit element 201092 can be disposed on an inner surface of a staple-forming pocket 201090.
As illustrated in
As illustrated in
In at least one example, the electrically conductive circuit element 201092 is placed on the forming track 201102 between the first contact portion 201104 and the deep portion 201106. In at least one example, the electrically conductive circuit element 201092 is placed on the forming track 201102 between the deep portion 201106 and the end portion 201108. In at least one example, the electrically conductive circuit element 201092 is placed on the forming track 201102 within the deep portion 201106. In at least one example, the electrically conductive circuit element 201092 is placed on the forming track 201102 at the center, or substantially at the center, of the deep portion 201106. In at least one example, the electrically conductive circuit element 201092 is placed on the forming track 201102 at the deepest section of the forming track 201102. In at least one example, the electrically conductive circuit element 201092 is positioned onto the concave surface 201096 closer to the first contact portion 201104 than end portion 201108. In at least one example, the electrically conductive circuit element 201092 is positioned onto the concave surface 201096 closer the end portion 201108 than the first contact portion 201104.
As illustrated in
With reference to
In various instances, the electrically conductive circuit elements 201092 are positioned between neighboring staple-forming pockets 201090. In at least one example, an electrically conductive circuit element 201092 is disposed onto a connecting surface 201112 extending between two outer edges 201098 of adjacent staple-forming pockets 201090. In one example, an electrically conductive circuit element 201092 may extend around a staple-forming pocket 201090.
Other likely paths of improperly forming staples legs 201122 transect outer edges of an anvil. Accordingly, staple malformation can be detected by placing one or more electrically conductive circuit elements on the outer edges of an anvil. Interruptions in the electrical continuity of electrical circuits that include such electrically conductive circuit elements indicates that staples nearing such outer edges were improperly formed while persistence in the electrical continuity of the electrical circuits indicates that the staples nearing such outer edges were properly formed, or at least did not engage the outer edges during formation.
Referring to
Employing electrically conductive circuit elements to detect staple malformation need not be limited to anvils of the motorized circular stapling device 201000. In various instances, electrically conductive circuit elements can be disposed onto a staple cartridge 201152 of the motorized circular stapling device 201000. As illustrated in
Like the electrically conductive circuit elements 201144, the electrically conductive circuit elements 201146 are employed to assess proper formation of the staples 201120. As illustrated in
A control circuit 201170 is electrically connected to the control lines of the multiplexer 201162 and the demultiplexer 201166. The control circuit 201170 is configured to synchronize the control lines of the multiplexer 201162 and the demultiplexer 201166 in order to simultaneously select an indicator 201168 and a corresponding input bundle 201164 based on input from a position sensor 201172. The position sensor 201172 communicates the position of the anvil 201142 as the anvil 201142 is retracted. As described above, the anvil 201142 receives the staple legs 201122 into the staple-forming pockets 201090 as the staple drivers deploy the staples 201120 into deforming contact with the anvil 201142. As the anvil 201142 is retracted, the control circuit 201170 employs the multiplexer 201162 and the demultiplexer 201166 to select an indicator 201168 and a corresponding input bundle 201164 that provides signal input from a treatment region represented by the indicator 201168. A different indicator 201168 and corresponding input bundle 201164 is sequentially selected for every treatment region as the anvil 201142 is retracted.
The control circuit 201170 detects or senses the number and location of malformed staples 201128 (
In various aspects, the closure rate or direction of a circular stapler, or a combination thereof, can be adjusted based on the sensed attachment, relative to the fully attached state, of the anvil. In one aspect, the present disclosure provides a digitally enabled circular stapler algorithm for determining the variation the closure rate of the anvil at key locations of the trocar to ensure proper seating of the anvil on the trocar.
The powered stapling device 201502, shown on the left side of
On the right side of
The anvil 201514 closure rate adjustment at certain key points along the trocar's 201510 retraction stroke improves the final seating of the anvil 201514 on the trocar 201510 if it marginally attached but not fully attached. At trocar 201510 position δ0 the anvil 201514 is in a fully open position 201521 and at trocar 201510 position δ4 the anvil 201514 is in a fully closed position 201523. Between the trocar 201510 fully open position 201521 δ0 and fully closed position δ4 the closure rate of the anvil 201514 is adjusted based on the position of the trocar 201510. For example, at the first zone 201518, as the trocar 201510 moves from the fully opened position 201521 δ0 to a first trocar 201510 position δ1, the closure rate of the anvil 201514 is slow (between 0-2 mm/sec) to ensure proper attachment of the anvil 201514 to the trocar 201510. At the second zone 201520, when the trocar 201510 moves from δ1 to δ2, the anvil 201514 is closed at a constant quick closure rate (3 mm/sec). When the trocar 201510 moves from δ2 to δ3 position, in the third zone 201522, the closure rate of the anvil 201514 is slowed to verify full attachment of the anvil 201514 to the trocar 201510. Finally, when the trocar 201510 moves from δ3 to δ4 position, in the fourth zone 201524, the closure rate of the anvil 201514 is slowed once again during high closure loads.
In particular, the process 201700 depicted in
In one aspect, the present disclosure provides a digitally enabled circular stapler adaptive algorithm for determining multi-directional seating motions on the trocar to drive the anvil into proper seating.
The powered stapling device 201532, shown on the left side of
In one aspect, the closure rates of the trocar 201540 and the anvil 201544 can be detected and any discrepancy between the closure rates of the two components could generate an automatic extension of the trocar 201540 and then retraction of the trocar 201540 in order to fully seat the anvil 201544 on the trocar 201540. In one aspect, any discrepancy between the closure rates of the trocar 201540 and the anvil 201544 may be provided to a control circuit or processor to operate a motor coupled to the trocar 201540 to generate an automatic extension of the trocar 201540 and then re-retraction in order to fully seat the anvil 201544 on the trocar 201540. If the anvil shank 201547 is detected pulling loose from the trocar 201540 the smart powered stapling device 201532 could stop retraction or even reverse and advance towards open until the instability of seating the anvil 201544 is resolved. If the anvil 201544 were pulled fully off it could even fully open indicating to the user to try re-attaching the anvil shank 201547 to the trocar 201540. As shown
Accordingly, the system can be configured for multi-directional seating motions on the trocar 201540 to drive the anvil 201544 into proper seating. For example, if the anvil shank 201547 is detected as pulling loose from the trocar 201540, the smart powered stapling device 201530 could be configured to stop retraction or even reverse and advance towards open until the instability of seating the anvil 201544 is resolved. If the anvil 201544 were pulled fully off, the smart powered stapling device 201532 could even be configured to fully open, indicating to the user to try reattaching the anvil shank 201547 to the trocar 201540.
On the right side of
In particular, the process 201720 depicted in
In various aspects, the knife speed of a circular stapler and end points can be adjusted based on the sensed toughness or thickness of the tissue between the anvil and cartridge. Accordingly, the circular stapler control algorithm can be configured to detect the tissue gap and force-to-fire to adjust the knife stroke and speed. In one aspect, the present disclosure provides a digitally enabled circular stapler adaptive algorithm for detecting tissue gap and force-to-fire to adjust knife stroke and knife speed, in accordance with at least one aspect of the present disclosure.
Generally,
In particular,
The power stapling device 201610 includes motors, sensors, and control circuits as described herein in connection with
Turning to the graphical representation 201632 on the left, for normal tissue toughness, as shown by the normal tissue knife velocity profile 201638, the initial velocity of the knife 201616 for normal tissue toughness starts at a first velocity, e.g., just over 4 mm/sec, at the initial knife position δK0. The knife 201616 continues at that velocity until it reaches knife position δK1 where the knife 201616 contacts tissue and slows the velocity of the knife 201616 as it cuts through the tissue until the knife 201616 reaches knife position δK2 indicating a complete cut and the control circuit stops the motor and hence stops the knife 201616. Turning to the graphical representation 201634 on the right, for normal tissue toughness, as shown by the normal tissue knife force curve 201642, the force acting on the knife 201616 is 0 lbs. at the initial knife position δK0 and varies nonlinearly until the knife 201616 reaches knife position δK2 until the cut is complete.
Turning to the graphical representation 201632 on the left, for heavy tissue toughness, as shown by the heavy tissue knife velocity profile 201636, the initial velocity of the knife 201616 for heavy tissue toughness starts at a second velocity, e.g., just over 3 mm/sec, which is lower relative to the first velocity, at the initial knife position δK0, which is less than the initial velocity for normal tissue toughness. The knife 201616 continues at that velocity until it reaches knife position δK1 where the knife 201616 contacts tissue. At this point the velocity of the knife 201616 starts to slow down nonlinearly as it cuts through the tissue for a short displacement of the knife 201616. The control circuit detects that the knife 201616 contacted tissue and in response increases the velocity of the motor to increase the velocity of the knife 201616, e.g., to the initial velocity until the knife 201616, until the knife 201616 reaches position δK2 indicating a complete cut and the control circuit stops the motor and hence stops the knife 201616. This is shown as velocity spike 201644 to improve cutting of tissue of heavy toughness. Turning to the graphical representation 201634 on the right, for heavy tissue toughness, as shown by the heavy tissue knife force curve 201640, the force acting on the knife 201616 is 0 lbs. at the initial knife position δK0 and varies nonlinearly until the knife 201616 reaches knife position δK2 and the cut is complete. A comparison of the normal and heavy tissue knife force curves 201640, 201642 shows that, with lower velocity and adding the velocity spike 201644 shortly after tissue contact with the knife 201616, the knife 201616 experiences a lower force when cutting tissue of heavy toughness than it experiences when cutting tissue of normal toughness.
In particular, the process 201750 depicted in
In particular, the process 201762 depicted in
The reaction of compulsory electronic lockouts is to prohibit a device function until the situation is resolved. Conversely, the reaction to a discretionary lockout can be more subtle. For example, discretionary lockout could include a warning indication, an alert requiring user consent to proceed, a change in the rate or force of an actuation or wait time, or a prohibition of certain functions being performed until the situation is resolved or stabilized. In operation, compulsory conditions for a circular stapler can include, for example, having the anvil fully seated before clamping or the cartridge being loaded with staples before firing. Viable conditions for a circular stapler can include, for example, being within the acceptable staple height for a given tissue thickness or a minimum tissue compression. Further, different conditions could have both discretionary and compulsory level thresholds on the same parameter, e.g., power level within the battery pack.
In one aspect, a stapling instrument can be configured to implement various control mechanisms for preventing or adjusting the function of the instrument based on the lockout type. In one aspect, compulsory lockouts could be solely electronic, mechanical interlocks, or a combination of the two. In various aspects having two lockouts, the lockouts could be redundant or optionally used based on the settings of the device. In one aspect, discretionary lockouts can be electronic lockouts so that they can be adjustable based on sensed parameters. For example, the discretionary lockouts could be a mechanical interlock that is electronically disabled or they could be a solely electronic lockout.
Turning now briefly to
Turning back now to
As the anvil 201084 continues to close between the maximum anvil gap δmax and the minimum anvil gap δmin, the anvil gap δ reaches a point of constant anvil gap 202018 at time t2. As shown in the lower graph 202020, at time t2 the tissue compression force F for tissue of normal stiffness represented by the first tissue compression force curve 202022 is within the ideal firing zone 202036, which is defined between a maximum compression force Fmax, defining an upper warning threshold 202032, and a minimum compression force Fmin, defining a lower warning threshold 202034. At time t2, the tissue compression force F for tissue of high stiffness represented by the second tissue compression force curve 202024 is above the upper warning threshold 202032 outside the ideal firing zone 202036 and the tissue compression force for tissue of low stiffness represented by the third tissue compression force curve 202026 is below the lower warning threshold 202034 outside the ideal firing zone 202036.
From time t2 to time t3, the anvil 201084 is maintained at a constant gap δ, as shown in the upper graph 202000, by the three anvil gap curves 202002, 202004, 202006. This period of constant gap δ, allows for tissue creep, as shown in the lower graph 202020, during which the average tissue compression force F slowly drops as shown by the three tissue compression force curves 202022, 202024, 202026. Tissue creep is a phase that is entered after tissue is grasped and the average tissue compression force F reaches a predetermined threshold and the closure motion of the anvil 201084 such that the anvil 201084 and the stapler 202082 hold the tissue therebetween for a predetermined time before initiating the firing phase in which the staples and knife are deployed. During the tissue creep phase the average tissue compression force F drops over the time period between t2 and t3. Tissue, in part because it is composed of solid and liquid material, tends to elongate when compressed. One way to account for this property is “tissue creep.” When tissue is compressed, a certain amount of tissue creep can occur. Affording the compressed tissue an adequate amount of time under certain circumstances to accomplish tissue creep can therefore produce benefits. One benefit can be adequate staple formation. This can contribute to a consistent staple line. Accordingly, a certain time can be given to enable tissue creep prior to firing.
With reference now also to
If the tissue compression force F is above the maximum compression force Fmax threshold 202032, the control circuit 760 is configured to register a warning that the compression force is too tight and to adjust the anvil gap δ, increase the wait time before firing, lower the firing speed, or enable a firing lockout, or any combination thereof. The control circuit 760 can adjust the anvil gap δ by advancing the anvil 766 distally, e.g. away, from the staple cartridge 768 (anvil 201804 and stapler 202084 in
If the tissue compression force F is below the minimum compression force Fmin threshold 202034, the control circuit 760 is configured to register a warning that the compression force is too loose and to adjust the anvil gap δ, proceed with caution, or enable a firing lockout, or any combination thereof. The control circuit 760 is configured to adjust the anvil gap δ by retracting the anvil 766 proximally, e.g. toward, the staple cartridge 768 (anvil 201804 and stapler 202084 in
Turning now to
With reference now to the top and bottom graphs 202040, 202060 and
The first tissue compression force curve 202062 represents the compression force for tissue of normal thickness and starts to increase at time t2 when tissue of normal thickness initially contacts the anvil 201804. The second tissue compression force curve 202064 represents tissue of high thickness and starts to increase at time t1 when tissue of high thickness initially contacts the anvil 201804. The third tissue compression force curve 202066 represents tissue of low thickness and starts to increase at time t3 when tissue of low thickness initially contacts the anvil 201804. At the second and third tissue contact points at times t2 and t3, for tissue of normal and low thickness, the anvil gap δ is within the ideal firing zone 202056, 202076. The tissue compression force F will vary as a function of the biomechanical properties of tissue thickness. As indicated in the bottom graph 202040, tissue of normal thickness is represented by a first tissue compression force curve 202042, tissue of high thickness is represented by a second tissue compression force curve 202044, and tissue of low stiffness is represented by a third tissue compression force curve 202066. From the initial tissue contact points at times t1, t2, t3 as the anvil 201084 continues to close, the tissue compression forces for each curve 202062, 202064, 2020066 start to increase until time t4 where the anvil gap reaches a predetermined value and remains constant between t4 and t5 until the stapler 202082 is ready to fire.
As the anvil 201084 continues to close between the maximum anvil gap max and the minimum anvil gap δmin, the anvil gap δ reaches a point of constant anvil gap at time t4. As shown in the lower graph 202060, at time t4 the tissue compression force F for tissue of normal thickness represented by the first tissue compression force curve 202062 is within the ideal firing zone 202076, which is defined between a maximum compression force Fmax, defining an upper warning threshold 202072, and a minimum compression force Fmin, defining a lower warning threshold 202074. At time t4 the tissue compression force F for tissue of high thickness represented by the second tissue compression force curve 202064 is above the upper warning threshold 202072 outside the ideal firing zone 202076 and the tissue compression force F for tissue of low thickness represented by the third tissue compression force curve 202066 is below the lower warning threshold 202074 outside the ideal firing zone 202076.
From time t4 to time t5, the anvil 201084 is maintained at a constant gap δ, as shown in the upper graph 202040, by the three anvil gap curves 202042, 202044, 202046. This period of constant gap δ, allows for tissue creep, as shown in the lower graph 202060, during which the average tissue compression force F slowly drops as shown by the three tissue compression force curves 202062, 202064, 202066. Tissue creep is a phase that is entered after tissue is grasped and the average tissue compression force F reaches a predetermined threshold and the closure motion of the anvil 201084 such that the anvil 201084 and the stapler 202082 hold the tissue therebetween for a predetermined time before initiating the firing phase in which the staples and knife are deployed. During the tissue creep phase the average tissue compression force F drops over the time period between t2 and t3. Tissue, in part because it is composed of solid and liquid material, tends to elongate when compressed. One way to account for this property is “tissue creep.” When tissue is compressed, a certain amount of tissue creep can occur. Affording the compressed tissue an adequate amount of time under certain circumstances to accomplish tissue creep can therefore produce benefits. One benefit can be adequate staple formation. This can contribute to a consistent staple line. Accordingly, a certain time can be given to enable tissue creep prior to firing.
With reference now also to
If the tissue compression force F is above the maximum compression force Fmax threshold 202072, the control circuit 760 is configured to register a warning that the compression force is too tight and to adjust the anvil gap δ, increase the wait time before firing, lower the firing speed, or enable a firing lockout, or any combination thereof. The control circuit 760 can adjust the anvil gap δ by advancing the anvil 766 distally, e.g. away, from the staple cartridge 768 (anvil 201804 and stapler 202084 in
If the tissue compression force F is below the minimum compression force Fmin threshold 202074, the control circuit 760 is configured to register a warning that the compression force is too loose and can adjust the anvil gap δ, proceed with caution, or enable a firing lockout, or any combination thereof. The control circuit 760 is configured to adjust the anvil gap δ by retracting the anvil 766 proximally, e.g. toward, the staple cartridge 768 (anvil 201804 and stapler 202084 in
With reference to
With reference to
Accordingly, with reference to
With reference now to
In one aspect, powered circular stapling device 202080 control algorithm described herein as the process 202100 can be configured to initiate discretionary and compulsory lockouts based on marginal and required conditions for the powered circular stapling device 202080 to operate. In one aspect, the process 202100 for the powered circular stapling device 202080 can be configured to implement both compulsory and discretionary lockouts based on sensed parameters within the system. A discretionary lockout pauses the automatic execution of a sequential operation, but can be overridden by the user input, for example. A compulsory lockout prevents the next sequential step, causing the user to back up a step of operation and resolve the lockout condition which induced the lockout, for example. In one aspect, both compulsory and discretionary lockouts can have both upper and lower bounded thresholds. Accordingly, the powered circular stapling device 202080 can comprise a combination of discretionary and compulsory lockouts.
In one aspect, powered circular stapling device 202080 control algorithm described herein as the process 202100 can be configured to adjust electronic lockouts that can either prevent the actuation of a system or adjust its function based on the sensed condition and a secondary measure. The sensed condition may be FTC, anvil displacement, gap δ, formation of staples and the secondary measure can include the severity of failure, a user input, or predefined comparison lookup table, for example.
In one aspect, the reaction of compulsory electronic lockouts is to prohibit the powered circular stapling device 202080 function until the situation is resolved. Conversely, the reaction to a discretionary lockout can be more subtle. For example, discretionary lockout could include a warning indication, an alert requiring user consent to proceed, a change in the rate or force of an actuation or wait time, or a prohibition of certain functions being performed until the situation is resolved or stabilized. In operation, compulsory conditions for the powered circular stapling device 202080 can include, for example, having the anvil 202084 fully seated before clamping or the stapler cartridge being loaded with staples before firing. Viable conditions for the powered circular stapling device 202080 can include, for example, being within the acceptable staple height for a given tissue thickness or a minimum tissue compression. Further, different conditions could have both discretionary and compulsory level thresholds on the same parameter, e.g., power level within the battery pack.
In one aspect, the powered circular stapling device 202080 can be configured to implement various control mechanisms to prevent or adjust the function of the powered circular stapling device 202080 based on the lockout type. In one aspect, compulsory lockouts could be solely electronic, mechanical interlocks, or a combination of the two. In various aspects having two lockouts, the lockouts could be redundant or optionally used based on the settings of the device. In one aspect, discretionary lockouts can be electronic lockouts so that they can be adjustable based on sensed parameters. For example, the discretionary lockouts could be a mechanical interlock that is electronically disabled or they could be a solely electronic lockout.
The first FTC curve 202152 corresponds to tissue having a low tissue stiffness. During the clamping phase, the FTC curve 202152 exhibits a rise in tissue compression force that peaks below the ideal FTC threshold 202158 in zone A. At the end of the clamp phase, the powered circular stapling device 202080 (
The second FTC curve 202154 corresponds to tissue having a normal tissue stiffness. During the clamping phase, the FTC curve 202154 exhibits a rise in tissue compression force that peaks between the ideal FTC threshold 202158 and the maximum FTC threshold 202160 in zone B. At the end of the clamp phase, the powered circular stapling device 202080 (
The third FTC curve 202154 corresponds to tissue having a high tissue stiffness. During the clamping phase, the FTC curve 202156 exhibits a rise in tissue compression force that peaks above the maximum FTC threshold 202160 in zone C. At the end of the clamp phase, the powered circular stapling device 202080 (
Various techniques for establishing hub wireless communication prioritization are described herein.
Still further, the communication priorities can be based on status of the hub itself. For example, if there is a failure of an internal process or program in the hub, there may be a need to verify the authenticity or the integrity of the program before re-initializing it. As another example, a communication with an outside security fob or license server may be required to bring a program back online. In one aspect, it may be required for a hub to communicate with some cloud services in order to verify if any alterations or updates are required for a hub-based program to operate after it has unexpectedly shut down. Such a cloud services communication, for example, may be required to reestablish a predefined link between the hub and any relay device or range extension device used to regain links to attached/paired devices. In some aspects, the communication priorities can be based on the level of importance of an issue being experienced by an attached device. Yet still further, communication priorities can be based on the detection, by the hub, of a device that is capable of communicating with a hub and whether there has been a lack of established identification from that device.
Chart 200500 depicted in
Column 200520 of chart 200500 depicts a set of communication priorities for a first hub associated with a first operating room in which a vessel dissection procedure is occurring. As indicated in column 200520, the patient monitoring functions again have the top level priority (priority 1) for the first hub communication. Thereafter, communications with dissection specific devices (such as an advanced energy device, and a powered endoscope grasper) have the next highest communication priorities. In some aspects, a second hub in a second OR may be communicating with medical devices associated with a vessel transection procedure. The second hub, for example, may be communicating with other medical devices such as a powered stapler and a powered endoscopic clip applier. The second hub and its associated medical devices may have a lower communication priority with respect to the first hub Again, as indicated in column 200510, communications with ancillary services may have lower priorities.
Column 200530 of chart 200500 depicts a set of communication priorities for a first hub associated with a first operating room in which a vessel transection procedure is occurring. As indicated in column 200520, the patient monitoring functions again have the top level priority (priority 1) for the first hub communication. Thereafter, communications with dissection specific devices (such as a powered stapler device, and a powered endoscope grasper) have the next highest communication priorities. In some aspects, a second hub in a second OR may be communicating with medical devices associated with a vessel dissection procedure. The second hub, for example, may be communicating with other medical devices such as an advanced energy device and a powered endoscopic clip applier. The second hub and its associated medical devices may have a lower communication priority with respect to the first hub Again, as indicated in column 200510, communications with ancillary services may have lower priorities.
In various aspects, the hub can be configured to reprioritize linked processes or products to ensure that needed information has been transmitted to and/or received from the devices.
In one aspect, if an in-use device that requires input from an associated system, but has not been provided the required data, communication with the associated system can be prioritized. For example, if an intelligent advanced energy combo device is in-use, but has not received any information from an advance visualization module on tissue type, thickness, or collagen level and the hub has identified that both systems exist within the network, the hub could be configured to then prioritize the image processing routines and provide the parameters needed by the energy device as the highest priority of both process and communication through the system.
Various techniques for non-interactive, interactive, and process-sharing hub-to-hub communication are described herein.
In one aspect of non-interactive communication, the hubs can be configured to perform inter-hub sharing of information including, for example, location, geo-fences, and status. In this aspect, hubs can be configured to communicate with adjacent OR hubs and identify/locate different systems. Communication of data, status, or other collected information to the network of hubs can be selectively used by one or more hubs.
In one aspect of interactive control communication, interaction between hubs to distribute data and processing can be effected with a network. Numerous hubs connected via a network can use distributed processing for processing/determining/calculating performance or usage parameters. For example,
As depicted in
The distributed processing system allows hubs within the system to distribute processing resources amongst themselves as needed. For example, if a hub within the network is reaching its processing or power cap such that it will need to begin budgeting processing power, and another hub within the network is idle, the first hub could offload high-processing needs to the idle hub, allowing the idle hub to share maximum processing capability and power needs. Examples of such inter-hub communications are depicted in
In one aspect of process-sharing between hubs based on the unused capacity of the interconnected systems, processing or communication resources can be distributed or concentrated based on anticipated system impact. For example, the interconnected surgical devices/systems could be configured to compare which device has the module and systems necessary to accomplish a specified surgical task. If the task were process- or communication-intensive, the system could either distribute the needed capacity between multiple devices or consolidate them to a specific portion of the system in order to accomplish the task based on the criticality of the task or its impact on the overall system (and thus its impact on other tasks being performed by the system). Prioritization for sharing can be determined by several factors, such as capacity (i.e., how much is the system being taxed with its current functions), activity level (e.g., hubs that are not in use because the OR is empty or being set up should get priority for sharing), model number (e.g., models with increased capabilities may be more adept at sharing than older models), and so on.
Various techniques for pairing personally owned wireless devices are described herein. In one aspect, an encrypted key can be used to authenticate a smart phone, wearable, or other personally owned device is supplied to a given user. Defining of the functions a personal device will request of the Hub to do given certain input elements. In one aspect, porting the personally owned device into the system provides a link from the device to the surgical hub to run an internal function. For example, a device can be connected to a hub and the music from a library or playlist on the device to be ported into (i.e., streamed through) the hub's speakers. As another example, a phone or another such device can be connected to a hub and options for the device can be linked through the hub to allow the porting of calls through the hub monitors and speakers. In one application, an auto reply voice or text message can be sent to incoming calls or texts that states that the user is unavailable when the user's device is connected to the hub, unless, e.g., the call or text is from a select subset of numbers (e.g., from other physicians that may call to consult on cases). In another application, a contact list from a linked phone can be stored so that incoming calls to the surgeon's phone during surgery can be answered or ignored according to whether the incoming call is from a number on the contact list.
In one aspect, a surgical hub can be configured to display functional imported data (e.g., data imported from a mobile device) on a secondary display due to the hub's awareness of the type of data and/or how common the use of the data is. In one aspect, the information can be displayed on a secondary display when the data is uploaded/imported to the surgical hub. In another aspect, an interactive menu can become actionable on the primary or in-use display when the data is uploaded/imported to the surgical hub when interaction is available. For example, when a call is received by a mobile device connected to a surgical hub, caller ID information from the mobile device's contact list can pop up on selected monitors visible by surgeon and nurses. As another example, the caller ID information could be displayed on secondary monitor that for displaying ancillary information, such as device settings, or a configurable computer tablet positioned in the sterile field that the surgeon could touch to answer if needed in order to avoid cluttering the main surgical screen with pop-ups. As another example, depending on the particular sensed user, the number of times that user utilizes the secondary device, and other parameters, the hub can be configured to flag the most commonly used and/or most appropriate option or menu according to the particular the interaction. In some aspects, the hub can be configured to display the option or menu on the user interface without interfering with the task at hand.
Various techniques for smart cartridge communication with the hub, without utilizing the instrument in which the cartridge is attached as a communication medium, are described herein.
In various aspects, a cartridge can be configured such that there is a wired connection between the device and the cartridge and that physical contact is needed between the instrument and the cartridge is required to transfer power to the cartridge. In one such aspect, the cartridge can include a circuit for identification that includes a portion that requires both the sled of the instrument and at least one staple to make contact thereagainst for there to be continuity. If either of the sled or a staple is not contacting the circuit, the power transfer to the cartridge will not occur and the device will be locked out. In these aspects, the described circuit can be utilized to provide a secondary or backup method of locking out an instrument from being utilized with a spent cartridge.
In various aspects, the cartridge can be configured to communicate with the hub, without requiring any power from the surgical instrument (e.g., a surgical stapler).
In one such aspect, inserting the cartridge into device is configured to supply a momentary amount of power to the cartridge, which is then configured to communicate directly with hub without going through the device. In some aspects, the cartridge includes no battery or power source onboard. In some aspects, the small amount of power can be tapped off upon connection and during transmission, after which the power drain by the cartridge ceases. For example,
In such aspects, the close proximity and alignment of the transmission coil 200014 and the receiver coil 20020 may be achieved with lug features 200030 formed into the body of the cartridge 200012. The lug features 200030 may be configured to align the cartridge 200012 within the channel of the instrument 200018 when the cartridge 200012 is inserted into the instrument 200018. The lug features 200030 may be configured to align the cartridge within the channel of the instrument 200018 by mating with corresponding slot features 200032 fabricated in the channel.
In some aspects, the cartridge and/or instrument further include resonating circuits to increase the efficiency of the power transfer therebetween. For example,
The receiver coil 200048 may be coupled to the transmission coil 200044 through the magnetic (B) field generated by the transmission coil 200044. In some aspects, The rectifier 200046 may convert the AC power received from the transmitter oscillator 200040 to DC power to source to a load 200050. In one example, a load 200050 may include the communication circuit 200028. The resonant inductive wireless power system 200034 may further include, for example, one or more resonance coils 200036a,b made of copper wire for example, that resonate with their internal capacitance (indicated as capacitors 200038a,b in phantom) at a resonant frequency (for example at 10 MHz). In some aspects, the resonance coils 200036a,b may have matched impedances to optimize the power transmission from the transmitter oscillator 200040 to the rectifier 200046.
In another aspect, the cartridge 200012 may include a battery that may power the communication circuit 200028 when the cartridge 200012 is inserted into the instrument 200018. In this aspect, the communication circuit 200028 may be powered regardless of the power status of the instrument 200018.
In another aspect, a sterile scanning pad can be configured to scan an instrument 200018 and/or a cartridge 200012. In operation, the scanning pad can be present on a back table within the operating room (OR) and a health care professional may scan the instrument 200018 or cartridge 200012 by placing the instrument 200018 or cartridge 200012 on the scanning pad. Data from the instrument 200018 or cartridge 200012 may be provided to the hub when the instrument 200018 or cartridge 200012 is opened and placed on the scanning pad. In some aspects, the instrument 200018 or cartridge 200012 may be scanned, for example via radiofrequency (RF), to activate the instrument 200018 or cartridge 200012 and track it by the hub. In some further aspects, there may be a wired connection from the pad to the hub to supply power for scanning.
Various techniques for detecting an environment and establishing a geo-fence are described herein.
In some aspects, the beacons 200054a-d may be active or passive. Active beacons 200054a-d may actively transmit information for receipt by the hub 200006 without requiring the hub 200006 to transmit any information to them. Passive beacons 200054a-d may be activated only on receipt of one or more transmissions from the hub 200006. Passive beacons 200054a-d may then respond to an initiating query by the hub 200006 and transmit, in response to receiving the initiating query from the hub 200006, a response signal. The signals transmitted by the beacons 200054a-d may be of any suitable form including, without limitation, a wireless signal, an acoustic signal, or a light signal. The signals transmitted by the beacons 200054a-d may include any suitable information, such as identification information, locational information, or any other information that the hub 200006 may use to determine the location of the beacons 200054a-d and thus permit the hub 200006 to determine the perimeter 200052.
As disclosed above, the perimeter 200052 may define a detection zone in which the hub 200006 may scan for one or more surgical instruments or other devices. Devices within the detection zone may be recognized by the hub 200006 as being potentially associated with a surgical procedure. It may be understood that in this aspect, devices located outside of the detection zone may not be recognized by the hub 200006 as being potentially associated with a surgical procedure. Alternatively, the beacons can be utilized to define an excluded zone in which devices may not be recognized by the hub 200006. In some aspects, the transmission angle of signals from the beacons 200054a-d can be adjustable. Starting at about 90 degrees, multiple beacons 200054a-d could be placed on the floor or on walls around OR to define the perimeter 200052. In some aspects, the perimeter 200052 may form a surgical instrument detection zone. In some aspects, the detection angle of the beacons can be visually shown with light beam when setting up the beacon assembly.
It may be recognized that the use of a “jamming” beacon 200056 may operate differently than the use of beacons 200054a-d to define an exclusion zone. For example, a “jamming” beacon 200056 may be associated with a movable instrument cabinet 200058. The “jamming” function of the “jamming” beacon 200056 may prevent the hub 200006 from establishing communications with medical instruments stored in the instrument cabinet 200058 regardless of the location of the instrument cabinet 200058.
In some applications, positioning the beacons 200054a-d along the borders of a room such as an operating room, may establish a controlled means of determining the real-world size and orientation of the OR with respect to the hub 200006. In still other applications, positioning the beacons 200054a-d at the boundaries of the sterile field can designate disposable instruments that are opened and ready for use as compared to capital instruments or instruments that are available, but not yet opened.
In one aspect, the hub and/or hub-connectable devices can be configured to wirelessly and interactively pair with each other. Accordingly, multiple controllers and controlled devices can be configured to wirelessly, on-the-fly input pairing, without the need for any direct user control. For example,
In operation, whenever a user picks up a device 200062, the receiver 200064 of the device automatically pairs the device 200062 with the identifier 200066. In response to the pairing between the receiver 200064 and the identifier 200066, the hub 200006 recognizes the device 200062 permitting the hub 200006 to control and/or receive status data from the device 200062. In some aspects, the hub 200006 may communicate with the device 200062 directly. In other aspects, the hub 200006 may communicate with the device 200062 via a communication link from the hub 200006 through the identifier 200066 to the device receiver 200064. The NFC linkage allows communication of the surgical device 200062 with the identifier 200066, which in turn communicates with the hub 200006. In some aspects, the identifier 200066 may act as a communications relay 200068 between the hub 200006 and the surgical device 200062, permitting identification and/or sensor information from the surgical device 200062 to be transmitted to the hub 200006, and control data to be transmitted from the hub 200006 to control the surgical device 200062.
In some other aspects, the identifier 200066 may transmit information to either one or both of the hub 200006 and the surgical device 200062. In some aspects, the information from the identifier 200066 may include an identification of the user. In some other aspects, the information from the identifier 200066 may include which hand is using the surgical device 200062. In some additional aspects, the hub 200006 may also provide either one or both of the identifier 200066 and the surgical device 200062 with the appropriate identification information of each device to allow them to communicate with either directly or through the hub 200006 to coordinate activation of a control with activation of a device function.
In various aspects, control of instruments paired with surgical hubs can be interchangeably switched between different surgical hubs.
Initiation of the control change between the paired instruments and the surgical hubs can be controlled and/or indicated to users/other devices in different manners. In one aspect, a predefined sequence could be used to indicate by the user the release of a controlled device to the control device (e.g., the surgical hub) and/or associated devices (e.g., other devices connected to the surgical hub).
Designation of a new relationship between the control device and the controlled device can be controlled and/or indicated to users/other devices in different manners. In one aspect, once released or when not paired to a control system within the local network of the OR, a series of steps could be used to link two system for the purposes of controlling one system with the other system. In an alternative aspect, the in-sterile field control and interaction device can be utilized to display all the paired links within the OR and to redistribute them in a different order.
Identification and notification of a control change of a device, without used of a control device, can be effected in different manners. In one aspect, the illumination of a built-in display screen of a handheld device could be configured to change from a first color (e.g., blue or green) to a second color (e.g., red) and/or from a first state (e.g., solid color) to a second state (e.g., flashing) to indicate and notify the user in changes to the control state of the device. For example, the first color and/or first state can indicate control of the device (e.g., the device is paired with a surgical hub) and the second color and/or second state can indicate that there is no control device connected to the instrument. Further, the illumination could be around the perimeter of the built-in display of the device. Still further, the illumination could also be through light transmission plastic surrounding a control module. In an alternative aspect, the device could be outlined on the primary display and the color and/or state of the outline around the device (or a component of the device, such as a shaft of an instrument) can indicate its control state (i.e., pairing of the device with a control device or a lack thereof).
In one aspect, control can be shared from more than one control device to a single controlled device. For example, the system could be used to either enable two wireless control devices to both control the same device simultaneously or to control multiple devices from a single control device.
Various techniques for detecting the position and orientation of devices are described herein.
In one aspect, measurements with respect to a ground coordinate system or with respect to one another can be displayed. In such aspects, a display system can be configured to display user-selectable measurements of the position of the device with respect to the patient, the hub, or a device (e.g., a trocar).
In one aspect, the display system could be configured to show the current location of the surgical instruments 200072a,b with respect to a local coordinate system. In another aspect, the display system could be configured to calculate whether there is or will be interaction between the surgical instruments 200072a,b. In one aspect, the display could switch from displaying the local coordinate measures to the interaction calculation as the surgical instruments 200072a,b come closer in proximity to one another or to the tissue. The interaction calculation could be used to avoid inadvertent collisions between the surgical instruments 200072a,b or to allow the user(s) to coordinate the motions of two surgical instruments 200072a,b specifically to control the interaction between them.
In one aspect, the display system is configured to display the true position of the surgical instruments 200072a,b with respect to an outside established frame of reference. For example, triangulation beacons that interface with the hub can be positioned around the OR to establish location and orientation of any devices within the OR (see, for example,
By determining the relative positions and/or orientation of the surgical instruments 200072a,b with respect to each other or with respect to other instruments, the hub 200006 may provide angle, insertion depth, and relative orientation of the surgical instruments 200072a,b and/or an end effector of each of the surgical instruments 200072a,b for a member of the surgical team. In some aspects, the position and/or orientation of the surgical instruments 200072a,b may be determined with respect to the patient, surgical site, or incision site for critical instrument positioning.
As disclosed above, the surgical instruments 200072a,b and/or other devices may include one or more beacons to assist in determining their relative position and/or orientation with respect to each other. Such beacons could be based on RF, magnetics, or another energy waveform capable of penetrating tissue as well as air for sending and receiving triangulation signals. In some aspects, the hub 200006 may receive the triangulation signals emitted by the beacons. In some aspects, the triangulation signals may include identifier information permitting the hub 20006 to determine which beacon is associated with which triangulation signal. In some aspects, an elongated surgical instrument (such as surgical instruments 200072a,b) may have multiple beacons attached to a handle and a shaft so that the orientation of the instrument shaft with respect to the instrument handle may be determined by the hub 200006
As disclosed above, the location and/or orientation of a surgical instrument may be determined relative to a location and/or orientation of another surgical instrument or other surgical device. In another aspect, the location and/or orientation of the surgical instruments 200072a,b may be determined with respect to one or more local references. In some aspects, the one or more local references may include one or more wireless or RF beacons disposed within the surgical suite In another aspect, a local reference may include a magnetic field generator 200074 on a stand within the OR or mounted on a wall or ceiling. The magnetic field generator 200074 can be configured to create a predefined magnetic field within the room, as depicted in
Each device (such as surgical instruments 200072a,b) can transmit the location and/or orientation information to the hub 200006 via a wired or a wireless communication system to allow the hub 200006 to track the position and orientation of the device. In one aspect, each of the surgical instruments 200072a,b could include several sensors that would be able to detect their respective distances and orientations with respect to the predefined magnetic field. Multiple sensors may be useful for surgical instruments that include an elongated shaft connected to a hand held unit. For example, magnetic sensors may be disposed with the hand held unit, half-way along a length of the elongated shaft, and at a distal end effector attached to the elongated shaft. The instrument could then report its location and orientation of the elongated shaft and end effector to a central procedural system (executed, e.g., by the hub 200006). The procedureal system could then calculate and track the use and disposition of all of the instruments within the OR and display or highlight to the user on a visual display when interactions or special conditions exist.
In another aspect, each of the surgical instruments 200072a,b may define a coordinate system local to the instrument. In some aspects, the local coordinate systems may be determined with respect to one or more local references, such as a magnetic field generator 200074. In another example, the local coordinate systems may be established with respect to a local ground such as a trocar port on the patient. The use of a local ground, in proximity to the the surgical instruments 200072a,b, can establish a local coordinate system having increased spatial resolution compared to a coordinate system based on a distant beacon (such as the magnetic field generator 200074). Such a finer resolution coordinate system may provide detailed information regarding the location and orientation of a surgical instrument passing through the trocar. Further, trocar positions themselves can be used to aid in understanding of port placement and other operations to inform other systems, both intraoperatively as well as postoperatively, for training purposes.
In one aspect, a first frame of reference is established with respect to a device (e.g., a scope) positioned inside the patient and a second frame of reference is established outside the patient with respect to a predefined position. Further, the system can include a means for linking one frame of reference to the other to be able to establish instrument position to jaw position relative to the tissue. Accordingly, the position and orientation of devices can be determined according to two separate, interrelated coordinate systems.
In one aspect, a coupling sensor could be used to link an internal visualization image within a surgical site to the exterior visualization image of the surgical field in order to coordinate an end effector position of a surgical instrument with respect to patient tissues in the surgical field and an outside position and orientation of a handle of the surgical instrument. For example, the primary internal visualization system could be used to determine positions, distances, and velocities between aspects of the instruments and tissues of interest within the body. In one aspect, a primary internal visualization system may use a specialized frame capture imaging device. Such a device may capture the image of the internal surgical site by using a beam of light that is bounced off an internal structure of the surgical site and any devices disposed therein. Accordingly, the refraction of the beam of light by the tissue can be used to determine the distance between the internal tissue structure(s) and the device(s), rather then the reflectivity of the tissues.
In one aspect, lidar may be used as the measurement method for this type of system. Lidar measurements may use a pulsed laser to create a pattern and then the reflected pulses are measured. In some aspects, such a technique may be referred to as laser scanning. In various aspects, a CMOS array multi laser light source used for advanced visualization may be employed for this technique. For example,
In another aspect, RF could be used to determine the locations of end-effectors within the abdomen cavity or within any internal surgical field.
In one aspect, an antenna array 200083 associated with the scope or visualization system 200086 may be composed of the first antenna 200084a and the second antenna 200084b. In one aspect, one antenna (such as first antenna 200084a) of the antenna array 200083 can be configured to transmit a signal at one frequency while a second antenna (such as first antenna 200084a) of the antenna array 200083 can be configured to receive a signal transmitted back from a first target surgical instrument 200088. As one example, the frequency of the signal transmitted by the antenna array 200083 may be about 13.56 MHz. In another example, the strength of the signal received by the first target surgical instrument 200088 may be about at about −36 dbm RSSI. In some aspects, a return signal to the antenna array 200083 may be transmitted by the first target surgical instrument 200088 at a frequency that differs from the frequency of the signal transmitted by the antenna array 200083. Such a communication protocol is considered full duplex communication 200090. Separate transmission and reception frequencies may be used to prevent interference of the transmission signal by the reception signal (and vice versa). In addition, separate transmission and reception frequencies may permit the measurement of the round trip time of the signal to and from a first target surgical instrument 200088. In some aspects, the round trip time of the signal to and from a first target surgical instrument 200088 may be used to calculate a distance of the first target surgical instrument 200088 from the antenna array 200083.
In another aspect, the distance of the first target surgical instrument 200088 from the antenna array 200083 to the first target surgical instrument 200088 may be calculated based on the power loss of a signal transmitted by the antenna array 200083 or by a response signal transmitted by the first target surgical instrument 200088. Geometric factors, such as the spread of the transmitted signal over distance, as well as the absorption loss due to the medium between the antenna array 200083 and the first target surgical instrument 200088 may permit such a distance measurement. In general, the distance between the antenna array 200083 and the first target surgical instrument 200088 is proportional to the ratio of the strength of the signal received by the first target surgical instrument 200088 to the strength of the originally transmitted signal by the antenna array 200083. Alternatively, the distance between the antenna array 200083 and the first target surgical instrument 200088 may be calculated from the ratio of the signal strength of the response signal received by the antenna array 200083 to the strength of the signal transmitted by the first target surgical instrument 200088. In some examples of this technique, the signal transmitted by the first target surgical instrument 200088 may incode information regarding the signal strength of transmitted signal.
Accordingly, smart systems could determine relative position by receiving and then returning a signal. The receiving array could include a field-programmable gate array (FPGA) and a microcontroller configured to handle the speed of measurements necessary from multiple instruments in real-time. In one aspect, the receiver antenna array 200083 could consist of two different antennas, for example first antenna 200084a and second antenna 200084b. The system could compare the differences of the signal received on the two antennas (first antenna 200084a and second antenna 200084b) and triangulate the sources position in 3D space, as depicted in
Returning to
In another aspect, an RFID tag could be placed on or in an end effector of each target surgical instrument. The RFID tag could be activated by a signal transmitted by a transmission antenna. In some aspects, the transmission antenna may be part of an antenna array 200083 disposed on a surgical visualization device 200086. In some aspects, each antenna of the antenna array 200083 (for example first antenna 200084a and second antenna 200084b) may act as a separate transmitting antenna. Alternatively, one of the antennae of the antenna array 200083 may be a transmission antenna and another of the antennae of the antenna array 200083 may be a reception antenna. Accordingly, the strength of the transmitted signal received by an RFID tag could be used to determine distance of the RFID tag to the transmitter antenna. In another aspect, the power transmission intensity of the transmitted signal could be varied, allowing the wake-up process of the RFID tag to be used to determine the distance. The wake-up process of the RFID tag may be initiated by the receipt of a radio frequency signal having a power greater than a threshold power. It is recognized that the power of a transmitted signal is attenuated over distance. Thus, an RFID tag disposed at a distance resulting in an attenuated received signal will not enter the wake-up process. However, an RFID tag disposed at a closer distance may receive the transmitted signal at sufficient power to initiate the wake-up process. In either of these examples, the transmitter antenna transmits a power signal for receipt by the passive RFID tag on the end effector. On receipt of a transmitted signal having sufficient power, the RFID tag may wake up and then transmits a return RF signal to be received by the receiver antenna. This return signal could include a unique identifier that the system could use to measure the distance from itself to multiple devices within the operating site.
Returning to
In another aspect, infrared ID and tracking can be used via projected light and a camera observing the OR. For example, at least two separate reflectors or one reflector with aspect in at least two planes could be used to determine a location and an orientation of a target surgical instrument with respect to a trocar and then with respect to the scope image inside the patient.
In one aspect, the robotic surgical instrument 700 comprises a control circuit 710 configured to control a clamp arm 716 and a closure member 714 portion of an end effector 702, an ultrasonic blade 718 coupled to an ultrasonic transducer 719 excited by an ultrasonic generator 721, a shaft 740, and one or more articulation members 742a, 742b via a plurality of motors 704a-704e. A position sensor 734 may be configured to provide position feedback of the closure member 714 to the control circuit 710. Other sensors 738 may be configured to provide feedback to the control circuit 710. A timer/counter 731 provides timing and counting information to the control circuit 710. An energy source 712 may be provided to operate the motors 704a-704e, and a current sensor 736 provides motor current feedback to the control circuit 710. The motors 704a-704e can be operated individually by the control circuit 710 in an open-loop or closed-loop feedback control.
In one aspect, the control circuit 710 may comprise one or more microcontrollers, microprocessors, or other suitable processors for executing instructions that cause the processor or processors to perform one or more tasks. In one aspect, a timer/counter 731 provides an output signal, such as the elapsed time or a digital count, to the control circuit 710 to correlate the position of the closure member 714 as determined by the position sensor 734 with the output of the timer/counter 731 such that the control circuit 710 can determine the position of the closure member 714 at a specific time (t) relative to a starting position or the time (t) when the closure member 714 is at a specific position relative to a starting position. The timer/counter 731 may be configured to measure elapsed time, count external events, or time external events.
In one aspect, the control circuit 710 may be programmed to control functions of the end effector 702 based on one or more tissue conditions. The control circuit 710 may be programmed to sense tissue conditions, such as thickness, either directly or indirectly, as described herein. The control circuit 710 may be programmed to select a firing control program or closure control program based on tissue conditions. A firing control program may describe the distal motion of the displacement member. Different firing control programs may be selected to better treat different tissue conditions. For example, when thicker tissue is present, the control circuit 710 may be programmed to translate the displacement member at a lower velocity and/or with lower power. When thinner tissue is present, the control circuit 710 may be programmed to translate the displacement member at a higher velocity and/or with higher power. A closure control program may control the closure force applied to the tissue by the clamp arm 716. Other control programs control the rotation of the shaft 740 and the articulation members 742a, 742b.
In one aspect, the control circuit 710 may generate motor set point signals. The motor set point signals may be provided to various motor controllers 708a-708e. The motor controllers 708a-708e may comprise one or more circuits configured to provide motor drive signals to the motors 704a-704e to drive the motors 704a-704e as described herein. In some examples, the motors 704a-704e may be brushed DC electric motors. For example, the velocity of the motors 704a-704e may be proportional to the respective motor drive signals. In some examples, the motors 704a-704e may be brushless DC electric motors, and the respective motor drive signals may comprise a PWM signal provided to one or more stator windings of the motors 704a-704e. Also, in some examples, the motor controllers 708a-708e may be omitted and the control circuit 710 may generate the motor drive signals directly.
In one aspect, the control circuit 710 may initially operate each of the motors 704a-704e in an open-loop configuration for a first open-loop portion of a stroke of the displacement member. Based on the response of the robotic surgical instrument 700 during the open-loop portion of the stroke, the control circuit 710 may select a firing control program in a closed-loop configuration. The response of the instrument may include a translation distance of the displacement member during the open-loop portion, a time elapsed during the open-loop portion, the energy provided to one of the motors 704a-704e during the open-loop portion, a sum of pulse widths of a motor drive signal, etc. After the open-loop portion, the control circuit 710 may implement the selected firing control program for a second portion of the displacement member stroke. For example, during a closed-loop portion of the stroke, the control circuit 710 may modulate one of the motors 704a-704e based on translation data describing a position of the displacement member in a closed-loop manner to translate the displacement member at a constant velocity.
In one aspect, the motors 704a-704e may receive power from an energy source 712. The energy source 712 may be a DC power supply driven by a main alternating current power source, a battery, a super capacitor, or any other suitable energy source. The motors 704a-704e may be mechanically coupled to individual movable mechanical elements such as the closure member 714, clamp arm 716, shaft 740, articulation 742a, and articulation 742b via respective transmissions 706a-706e. The transmissions 706a-706e may include one or more gears or other linkage components to couple the motors 704a-704e to movable mechanical elements. A position sensor 734 may sense a position of the closure member 714. The position sensor 734 may be or include any type of sensor that is capable of generating position data that indicate a position of the closure member 714. In some examples, the position sensor 734 may include an encoder configured to provide a series of pulses to the control circuit 710 as the closure member 714 translates distally and proximally. The control circuit 710 may track the pulses to determine the position of the closure member 714. Other suitable position sensors may be used, including, for example, a proximity sensor. Other types of position sensors may provide other signals indicating motion of the closure member 714. Also, in some examples, the position sensor 734 may be omitted. Where any of the motors 704a-704e is a stepper motor, the control circuit 710 may track the position of the closure member 714 by aggregating the number and direction of steps that the motor 704 has been instructed to execute. The position sensor 734 may be located in the end effector 702 or at any other portion of the instrument. The outputs of each of the motors 704a-704e include a torque sensor 744a-744e to sense force and have an encoder to sense rotation of the drive shaft.
In one aspect, the control circuit 710 is configured to drive a firing member such as the closure member 714 portion of the end effector 702. The control circuit 710 provides a motor set point to a motor control 708a, which provides a drive signal to the motor 704a. The output shaft of the motor 704a is coupled to a torque sensor 744a. The torque sensor 744a is coupled to a transmission 706a which is coupled to the closure member 714. The transmission 706a comprises movable mechanical elements such as rotating elements and a firing member to control the movement of the closure member 714 distally and proximally along a longitudinal axis of the end effector 702. In one aspect, the motor 704a may be coupled to the knife gear assembly, which includes a knife gear reduction set that includes a first knife drive gear and a second knife drive gear. A torque sensor 744a provides a firing force feedback signal to the control circuit 710. The firing force signal represents the force required to fire or displace the closure member 714. A position sensor 734 may be configured to provide the position of the closure member 714 along the firing stroke or the position of the firing member as a feedback signal to the control circuit 710. The end effector 702 may include additional sensors 738 configured to provide feedback signals to the control circuit 710. When ready to use, the control circuit 710 may provide a firing signal to the motor control 708a. In response to the firing signal, the motor 704a may drive the firing member distally along the longitudinal axis of the end effector 702 from a proximal stroke start position to a stroke end position distal to the stroke start position. As the closure member 714 translates distally, the clamp arm 716 closes towards the ultrasonic blade 718.
In one aspect, the control circuit 710 is configured to drive a closure member such as the clamp arm 716 portion of the end effector 702. The control circuit 710 provides a motor set point to a motor control 708b, which provides a drive signal to the motor 704b. The output shaft of the motor 704b is coupled to a torque sensor 744b. The torque sensor 744b is coupled to a transmission 706b which is coupled to the clamp arm 716. The transmission 706b comprises movable mechanical elements such as rotating elements and a closure member to control the movement of the clamp arm 716 from the open and closed positions. In one aspect, the motor 704b is coupled to a closure gear assembly, which includes a closure reduction gear set that is supported in meshing engagement with the closure spur gear. The torque sensor 744b provides a closure force feedback signal to the control circuit 710. The closure force feedback signal represents the closure force applied to the clamp arm 716. The position sensor 734 may be configured to provide the position of the closure member as a feedback signal to the control circuit 710. Additional sensors 738 in the end effector 702 may provide the closure force feedback signal to the control circuit 710. The pivotable clamp arm 716 is positioned opposite the ultrasonic blade 718. When ready to use, the control circuit 710 may provide a closure signal to the motor control 708b. In response to the closure signal, the motor 704b advances a closure member to grasp tissue between the clamp arm 716 and the ultrasonic blade 718.
In one aspect, the control circuit 710 is configured to rotate a shaft member such as the shaft 740 to rotate the end effector 702. The control circuit 710 provides a motor set point to a motor control 708c, which provides a drive signal to the motor 704c. The output shaft of the motor 704c is coupled to a torque sensor 744c. The torque sensor 744c is coupled to a transmission 706c which is coupled to the shaft 740. The transmission 706c comprises movable mechanical elements such as rotating elements to control the rotation of the shaft 740 clockwise or counterclockwise up to and over 360°. In one aspect, the motor 704c is coupled to the rotational transmission assembly, which includes a tube gear segment that is formed on (or attached to) the proximal end of the proximal closure tube for operable engagement by a rotational gear assembly that is operably supported on the tool mounting plate. The torque sensor 744c provides a rotation force feedback signal to the control circuit 710. The rotation force feedback signal represents the rotation force applied to the shaft 740. The position sensor 734 may be configured to provide the position of the closure member as a feedback signal to the control circuit 710. Additional sensors 738 such as a shaft encoder may provide the rotational position of the shaft 740 to the control circuit 710.
In one aspect, the control circuit 710 is configured to articulate the end effector 702. The control circuit 710 provides a motor set point to a motor control 708d, which provides a drive signal to the motor 704d. The output shaft of the motor 704d is coupled to a torque sensor 744d. The torque sensor 744d is coupled to a transmission 706d which is coupled to an articulation member 742a. The transmission 706d comprises movable mechanical elements such as articulation elements to control the articulation of the end effector 702±65°. In one aspect, the motor 704d is coupled to an articulation nut, which is rotatably journaled on the proximal end portion of the distal spine portion and is rotatably driven thereon by an articulation gear assembly. The torque sensor 744d provides an articulation force feedback signal to the control circuit 710. The articulation force feedback signal represents the articulation force applied to the end effector 702. Sensors 738, such as an articulation encoder, may provide the articulation position of the end effector 702 to the control circuit 710.
In another aspect, the articulation function of the robotic surgical system 700 may comprise two articulation members, or links, 742a, 742b. These articulation members 742a, 742b are driven by separate disks on the robot interface (the rack) which are driven by the two motors 708d, 708e. When the separate firing motor 704a is provided, each of articulation links 742a, 742b can be antagonistically driven with respect to the other link in order to provide a resistive holding motion and a load to the head when it is not moving and to provide an articulation motion as the head is articulated. The articulation members 742a, 742b attach to the head at a fixed radius as the head is rotated. Accordingly, the mechanical advantage of the push-and-pull link changes as the head is rotated. This change in the mechanical advantage may be more pronounced with other articulation link drive systems.
In one aspect, the one or more motors 704a-704e may comprise a brushed DC motor with a gearbox and mechanical links to a firing member, closure member, or articulation member. Another example includes electric motors 704a-704e that operate the movable mechanical elements such as the displacement member, articulation links, closure tube, and shaft. An outside influence is an unmeasured, unpredictable influence of things like tissue, surrounding bodies, and friction on the physical system. Such outside influence can be referred to as drag, which acts in opposition to one of electric motors 704a-704e. The outside influence, such as drag, may cause the operation of the physical system to deviate from a desired operation of the physical system.
In one aspect, the position sensor 734 may be implemented as an absolute positioning system. In one aspect, the position sensor 734 may comprise a magnetic rotary absolute positioning system implemented as an AS5055EQFT single-chip magnetic rotary position sensor available from Austria Microsystems, AG. The position sensor 734 may interface with the control circuit 710 to provide an absolute positioning system. The position may include multiple Hall-effect elements located above a magnet and coupled to a CORDIC processor, also known as the digit-by-digit method and Volder's algorithm, that is provided to implement a simple and efficient algorithm to calculate hyperbolic and trigonometric functions that require only addition, subtraction, bitshift, and table lookup operations.
In one aspect, the control circuit 710 may be in communication with one or more sensors 738. The sensors 738 may be positioned on the end effector 702 and adapted to operate with the robotic surgical instrument 700 to measure the various derived parameters such as the gap distance versus time, tissue compression versus time, and anvil strain versus time. The sensors 738 may comprise a magnetic sensor, a magnetic field sensor, a strain gauge, a load cell, a pressure sensor, a force sensor, a torque sensor, an inductive sensor such as an eddy current sensor, a resistive sensor, a capacitive sensor, an optical sensor, and/or any other suitable sensor for measuring one or more parameters of the end effector 702. The sensors 738 may include one or more sensors. The sensors 738 may be located on the clamp arm 716 to determine tissue location using segmented electrodes. The torque sensors 744a-744e may be configured to sense force such as firing force, closure force, and/or articulation force, among others. Accordingly, the control circuit 710 can sense (1) the closure load experienced by the distal closure tube and its position, (2) the firing member at the rack and its position, (3) what portion of the ultrasonic blade 718 has tissue on it, and (4) the load and position on both articulation rods.
In one aspect, the one or more sensors 738 may comprise a strain gauge, such as a micro-strain gauge, configured to measure the magnitude of the strain in the clamp arm 716 during a clamped condition. The strain gauge provides an electrical signal whose amplitude varies with the magnitude of the strain. The sensors 738 may comprise a pressure sensor configured to detect a pressure generated by the presence of compressed tissue between the clamp arm 716 and the ultrasonic blade 718. The sensors 738 may be configured to detect impedance of a tissue section located between the clamp arm 716 and the ultrasonic blade 718 that is indicative of the thickness and/or fullness of tissue located therebetween.
In one aspect, the sensors 738 may be implemented as one or more limit switches, electromechanical devices, solid-state switches, Hall-effect devices, magneto-resistive (MR) devices, giant magneto-resistive (GMR) devices, magnetometers, among others. In other implementations, the sensors 738 may be implemented as solid-state switches that operate under the influence of light, such as optical sensors, IR sensors, ultraviolet sensors, among others. Still, the switches may be solid-state devices such as transistors (e.g., FET, junction FET, MOSFET, bipolar, and the like). In other implementations, the sensors 738 may include electrical conductorless switches, ultrasonic switches, accelerometers, and inertial sensors, among others.
In one aspect, the sensors 738 may be configured to measure forces exerted on the clamp arm 716 by the closure drive system. For example, one or more sensors 738 can be at an interaction point between the closure tube and the clamp arm 716 to detect the closure forces applied by the closure tube to the clamp arm 716. The forces exerted on the clamp arm 716 can be representative of the tissue compression experienced by the tissue section captured between the clamp arm 716 and the ultrasonic blade 718. The one or more sensors 738 can be positioned at various interaction points along the closure drive system to detect the closure forces applied to the clamp arm 716 by the closure drive system. The one or more sensors 738 may be sampled in real time during a clamping operation by the processor of the control circuit 710. The control circuit 710 receives real-time sample measurements to provide and analyze time-based information and assess, in real time, closure forces applied to the clamp arm 716.
In one aspect, a current sensor 736 can be employed to measure the current drawn by each of the motors 704a-704e. The force required to advance any of the movable mechanical elements such as the closure member 714 corresponds to the current drawn by one of the motors 704a-704e. The force is converted to a digital signal and provided to the control circuit 710. The control circuit 710 can be configured to simulate the response of the actual system of the instrument in the software of the controller. A displacement member can be actuated to move the closure member 714 in the end effector 702 at or near a target velocity. The robotic surgical instrument 700 can include a feedback controller, which can be one of any feedback controllers, including, but not limited to a PID, a state feedback, a linear-quadratic (LQR), and/or an adaptive controller, for example. The robotic surgical instrument 700 can include a power source to convert the signal from the feedback controller into a physical input such as case voltage, PWM voltage, frequency modulated voltage, current, torque, and/or force, for example. Additional details are disclosed in U.S. patent application Ser. No. 15/636,829, titled CLOSED LOOP VELOCITY CONTROL TECHNIQUES FOR ROBOTIC SURGICAL INSTRUMENT, filed Jun. 29, 2017, which is herein incorporated by reference in its entirety.
The position, movement, displacement, and/or translation of a linear displacement member, such as the closure member 764, can be measured by an absolute positioning system, sensor arrangement, and position sensor 784. Because the closure member 764 is coupled to a longitudinally movable drive member, the position of the closure member 764 can be determined by measuring the position of the longitudinally movable drive member employing the position sensor 784. Accordingly, in the following description, the position, displacement, and/or translation of the closure member 764 can be achieved by the position sensor 784 as described herein. A control circuit 760 may be programmed to control the translation of the displacement member, such as the closure member 764. The control circuit 760, in some examples, may comprise one or more microcontrollers, microprocessors, or other suitable processors for executing instructions that cause the processor or processors to control the displacement member, e.g., the closure member 764, in the manner described. In one aspect, a timer/counter 781 provides an output signal, such as the elapsed time or a digital count, to the control circuit 760 to correlate the position of the closure member 764 as determined by the position sensor 784 with the output of the timer/counter 781 such that the control circuit 760 can determine the position of the closure member 764 at a specific time (t) relative to a starting position. The timer/counter 781 may be configured to measure elapsed time, count external events, or time external events.
The control circuit 760 may generate a motor set point signal 772. The motor set point signal 772 may be provided to a motor controller 758. The motor controller 758 may comprise one or more circuits configured to provide a motor drive signal 774 to the motor 754 to drive the motor 754 as described herein. In some examples, the motor 754 may be a brushed DC electric motor. For example, the velocity of the motor 754 may be proportional to the motor drive signal 774. In some examples, the motor 754 may be a brushless DC electric motor and the motor drive signal 774 may comprise a PWM signal provided to one or more stator windings of the motor 754. Also, in some examples, the motor controller 758 may be omitted, and the control circuit 760 may generate the motor drive signal 774 directly.
The motor 754 may receive power from an energy source 762. The energy source 762 may be or include a battery, a super capacitor, or any other suitable energy source. The motor 754 may be mechanically coupled to the closure member 764 via a transmission 756. The transmission 756 may include one or more gears or other linkage components to couple the motor 754 to the closure member 764. A position sensor 784 may sense a position of the closure member 764. The position sensor 784 may be or include any type of sensor that is capable of generating position data that indicate a position of the closure member 764. In some examples, the position sensor 784 may include an encoder configured to provide a series of pulses to the control circuit 760 as the closure member 764 translates distally and proximally. The control circuit 760 may track the pulses to determine the position of the closure member 764. Other suitable position sensors may be used, including, for example, a proximity sensor. Other types of position sensors may provide other signals indicating motion of the closure member 764. Also, in some examples, the position sensor 784 may be omitted. Where the motor 754 is a stepper motor, the control circuit 760 may track the position of the closure member 764 by aggregating the number and direction of steps that the motor 754 has been instructed to execute. The position sensor 784 may be located in the end effector 752 or at any other portion of the instrument.
The control circuit 760 may be in communication with one or more sensors 788. The sensors 788 may be positioned on the end effector 752 and adapted to operate with the surgical instrument 750 to measure the various derived parameters such as gap distance versus time, tissue compression versus time, and anvil strain versus time. The sensors 788 may comprise a magnetic sensor, a magnetic field sensor, a strain gauge, a pressure sensor, a force sensor, an inductive sensor such as an eddy current sensor, a resistive sensor, a capacitive sensor, an optical sensor, and/or any other suitable sensor for measuring one or more parameters of the end effector 752. The sensors 788 may include one or more sensors.
The one or more sensors 788 may comprise a strain gauge, such as a micro-strain gauge, configured to measure the magnitude of the strain in the clamp arm 766 during a clamped condition. The strain gauge provides an electrical signal whose amplitude varies with the magnitude of the strain. The sensors 788 may comprise a pressure sensor configured to detect a pressure generated by the presence of compressed tissue between the clamp arm 766 and the ultrasonic blade 768. The sensors 788 may be configured to detect impedance of a tissue section located between the clamp arm 766 and the ultrasonic blade 768 that is indicative of the thickness and/or fullness of tissue located therebetween.
The sensors 788 may be is configured to measure forces exerted on the clamp arm 766 by a closure drive system. For example, one or more sensors 788 can be at an interaction point between a closure tube and the clamp arm 766 to detect the closure forces applied by a closure tube to the clamp arm 766. The forces exerted on the clamp arm 766 can be representative of the tissue compression experienced by the tissue section captured between the clamp arm 766 and the ultrasonic blade 768. The one or more sensors 788 can be positioned at various interaction points along the closure drive system to detect the closure forces applied to the clamp arm 766 by the closure drive system. The one or more sensors 788 may be sampled in real time during a clamping operation by a processor of the control circuit 760. The control circuit 760 receives real-time sample measurements to provide and analyze time-based information and assess, in real time, closure forces applied to the clamp arm 766.
A current sensor 786 can be employed to measure the current drawn by the motor 754. The force required to advance the closure member 764 corresponds to the current drawn by the motor 754. The force is converted to a digital signal and provided to the control circuit 760.
The control circuit 760 can be configured to simulate the response of the actual system of the instrument in the software of the controller. A displacement member can be actuated to move a closure member 764 in the end effector 752 at or near a target velocity. The surgical instrument 750 can include a feedback controller, which can be one of any feedback controllers, including, but not limited to a PID, a state feedback, LQR, and/or an adaptive controller, for example. The surgical instrument 750 can include a power source to convert the signal from the feedback controller into a physical input such as case voltage, PWM voltage, frequency modulated voltage, current, torque, and/or force, for example.
The actual drive system of the surgical instrument 750 is configured to drive the displacement member, cutting member, or closure member 764, by a brushed DC motor with gearbox and mechanical links to an articulation and/or knife system. Another example is the electric motor 754 that operates the displacement member and the articulation driver, for example, of an interchangeable shaft assembly. An outside influence is an unmeasured, unpredictable influence of things like tissue, surrounding bodies and friction on the physical system. Such outside influence can be referred to as drag which acts in opposition to the electric motor 754. The outside influence, such as drag, may cause the operation of the physical system to deviate from a desired operation of the physical system.
Various example aspects are directed to a surgical instrument 750 comprising an end effector 752 with motor-driven surgical sealing and cutting implements. For example, a motor 754 may drive a displacement member distally and proximally along a longitudinal axis of the end effector 752. The end effector 752 may comprise a pivotable clamp arm 766 and, when configured for use, an ultrasonic blade 768 positioned opposite the clamp arm 766. A clinician may grasp tissue between the clamp arm 766 and the ultrasonic blade 768, as described herein. When ready to use the instrument 750, the clinician may provide a firing signal, for example by depressing a trigger of the instrument 750. In response to the firing signal, the motor 754 may drive the displacement member distally along the longitudinal axis of the end effector 752 from a proximal stroke begin position to a stroke end position distal of the stroke begin position. As the displacement member translates distally, the closure member 764 with a cutting element positioned at a distal end, may cut the tissue between the ultrasonic blade 768 and the clamp arm 766.
In various examples, the surgical instrument 750 may comprise a control circuit 760 programmed to control the distal translation of the displacement member, such as the closure member 764, for example, based on one or more tissue conditions. The control circuit 760 may be programmed to sense tissue conditions, such as thickness, either directly or indirectly, as described herein. The control circuit 760 may be programmed to select a control program based on tissue conditions. A control program may describe the distal motion of the displacement member. Different control programs may be selected to better treat different tissue conditions. For example, when thicker tissue is present, the control circuit 760 may be programmed to translate the displacement member at a lower velocity and/or with lower power. When thinner tissue is present, the control circuit 760 may be programmed to translate the displacement member at a higher velocity and/or with higher power.
In some examples, the control circuit 760 may initially operate the motor 754 in an open loop configuration for a first open loop portion of a stroke of the displacement member. Based on a response of the instrument 750 during the open loop portion of the stroke, the control circuit 760 may select a firing control program. The response of the instrument may include, a translation distance of the displacement member during the open loop portion, a time elapsed during the open loop portion, energy provided to the motor 754 during the open loop portion, a sum of pulse widths of a motor drive signal, etc. After the open loop portion, the control circuit 760 may implement the selected firing control program for a second portion of the displacement member stroke. For example, during the closed loop portion of the stroke, the control circuit 760 may modulate the motor 754 based on translation data describing a position of the displacement member in a closed loop manner to translate the displacement member at a constant velocity. Additional details are disclosed in U.S. patent application Ser. No. 15/720,852, titled SYSTEM AND METHODS FOR CONTROLLING A DISPLAY OF A SURGICAL INSTRUMENT, filed Sep. 29, 2017, which is herein incorporated by reference in its entirety.
The position, movement, displacement, and/or translation of a linear displacement member, such as the closure member 764, can be measured by an absolute positioning system, sensor arrangement, and position sensor 784. Because the closure member 764 is coupled to a longitudinally movable drive member, the position of the closure member 764 can be determined by measuring the position of the longitudinally movable drive member employing the position sensor 784. Accordingly, in the following description, the position, displacement, and/or translation of the closure member 764 can be achieved by the position sensor 784 as described herein. A control circuit 760 may be programmed to control the translation of the displacement member, such as the closure member 764. The control circuit 760, in some examples, may comprise one or more microcontrollers, microprocessors, or other suitable processors for executing instructions that cause the processor or processors to control the displacement member, e.g., the closure member 764, in the manner described. In one aspect, a timer/counter 781 provides an output signal, such as the elapsed time or a digital count, to the control circuit 760 to correlate the position of the closure member 764 as determined by the position sensor 784 with the output of the timer/counter 781 such that the control circuit 760 can determine the position of the closure member 764 at a specific time (t) relative to a starting position. The timer/counter 781 may be configured to measure elapsed time, count external events, or time external events.
The control circuit 760 may generate a motor set point signal 772. The motor set point signal 772 may be provided to a motor controller 758. The motor controller 758 may comprise one or more circuits configured to provide a motor drive signal 774 to the motor 754 to drive the motor 754 as described herein. In some examples, the motor 754 may be a brushed DC electric motor. For example, the velocity of the motor 754 may be proportional to the motor drive signal 774. In some examples, the motor 754 may be a brushless DC electric motor and the motor drive signal 774 may comprise a PWM signal provided to one or more stator windings of the motor 754. Also, in some examples, the motor controller 758 may be omitted, and the control circuit 760 may generate the motor drive signal 774 directly.
The motor 754 may receive power from an energy source 762. The energy source 762 may be or include a battery, a super capacitor, or any other suitable energy source. The motor 754 may be mechanically coupled to the closure member 764 via a transmission 756. The transmission 756 may include one or more gears or other linkage components to couple the motor 754 to the closure member 764. A position sensor 784 may sense a position of the closure member 764. The position sensor 784 may be or include any type of sensor that is capable of generating position data that indicate a position of the closure member 764. In some examples, the position sensor 784 may include an encoder configured to provide a series of pulses to the control circuit 760 as the closure member 764 translates distally and proximally. The control circuit 760 may track the pulses to determine the position of the closure member 764. Other suitable position sensors may be used, including, for example, a proximity sensor. Other types of position sensors may provide other signals indicating motion of the closure member 764. Also, in some examples, the position sensor 784 may be omitted. Where the motor 754 is a stepper motor, the control circuit 760 may track the position of the closure member 764 by aggregating the number and direction of steps that the motor 754 has been instructed to execute. The position sensor 784 may be located in the end effector 752 or at any other portion of the instrument.
The control circuit 760 may be in communication with one or more sensors 788. The sensors 788 may be positioned on the end effector 752 and adapted to operate with the surgical instrument 750 to measure the various derived parameters such as gap distance versus time, tissue compression versus time, and anvil strain versus time. The sensors 788 may comprise a magnetic sensor, a magnetic field sensor, a strain gauge, a pressure sensor, a force sensor, an inductive sensor such as an eddy current sensor, a resistive sensor, a capacitive sensor, an optical sensor, and/or any other suitable sensor for measuring one or more parameters of the end effector 752. The sensors 788 may include one or more sensors.
The one or more sensors 788 may comprise a strain gauge, such as a micro-strain gauge, configured to measure the magnitude of the strain in the clamp arm 766 during a clamped condition. The strain gauge provides an electrical signal whose amplitude varies with the magnitude of the strain. The sensors 788 may comprise a pressure sensor configured to detect a pressure generated by the presence of compressed tissue between the clamp arm 766 and the ultrasonic blade 768. The sensors 788 may be configured to detect impedance of a tissue section located between the clamp arm 766 and the ultrasonic blade 768 that is indicative of the thickness and/or fullness of tissue located therebetween.
The sensors 788 may be is configured to measure forces exerted on the clamp arm 766 by a closure drive system. For example, one or more sensors 788 can be at an interaction point between a closure tube and the clamp arm 766 to detect the closure forces applied by a closure tube to the clamp arm 766. The forces exerted on the clamp arm 766 can be representative of the tissue compression experienced by the tissue section captured between the clamp arm 766 and the ultrasonic blade 768. The one or more sensors 788 can be positioned at various interaction points along the closure drive system to detect the closure forces applied to the clamp arm 766 by the closure drive system. The one or more sensors 788 may be sampled in real time during a clamping operation by a processor of the control circuit 760. The control circuit 760 receives real-time sample measurements to provide and analyze time-based information and assess, in real time, closure forces applied to the clamp arm 766.
A current sensor 786 can be employed to measure the current drawn by the motor 754. The force required to advance the closure member 764 corresponds to the current drawn by the motor 754. The force is converted to a digital signal and provided to the control circuit 760.
The control circuit 760 can be configured to simulate the response of the actual system of the instrument in the software of the controller. A displacement member can be actuated to move a closure member 764 in the end effector 752 at or near a target velocity. The surgical instrument 750 can include a feedback controller, which can be one of any feedback controllers, including, but not limited to a PID, a state feedback, LQR, and/or an adaptive controller, for example. The surgical instrument 750 can include a power source to convert the signal from the feedback controller into a physical input such as case voltage, PWM voltage, frequency modulated voltage, current, torque, and/or force, for example.
The actual drive system of the surgical instrument 750 is configured to drive the displacement member, cutting member, or closure member 764, by a brushed DC motor with gearbox and mechanical links to an articulation and/or knife system. Another example is the electric motor 754 that operates the displacement member and the articulation driver, for example, of an interchangeable shaft assembly. An outside influence is an unmeasured, unpredictable influence of things like tissue, surrounding bodies and friction on the physical system. Such outside influence can be referred to as drag which acts in opposition to the electric motor 754. The outside influence, such as drag, may cause the operation of the physical system to deviate from a desired operation of the physical system.
Various example aspects are directed to a surgical instrument 750 comprising an end effector 752 with motor-driven surgical sealing and cutting implements. For example, a motor 754 may drive a displacement member distally and proximally along a longitudinal axis of the end effector 752. The end effector 752 may comprise a pivotable clamp arm 766 and, when configured for use, an ultrasonic blade 768 positioned opposite the clamp arm 766. A clinician may grasp tissue between the clamp arm 766 and the ultrasonic blade 768, as described herein. When ready to use the instrument 750, the clinician may provide a firing signal, for example by depressing a trigger of the instrument 750. In response to the firing signal, the motor 754 may drive the displacement member distally along the longitudinal axis of the end effector 752 from a proximal stroke begin position to a stroke end position distal of the stroke begin position. As the displacement member translates distally, the closure member 764 with a cutting element positioned at a distal end, may cut the tissue between the ultrasonic blade 768 and the clamp arm 766.
In various examples, the surgical instrument 750 may comprise a control circuit 760 programmed to control the distal translation of the displacement member, such as the closure member 764, for example, based on one or more tissue conditions. The control circuit 760 may be programmed to sense tissue conditions, such as thickness, either directly or indirectly, as described herein. The control circuit 760 may be programmed to select a control program based on tissue conditions. A control program may describe the distal motion of the displacement member. Different control programs may be selected to better treat different tissue conditions. For example, when thicker tissue is present, the control circuit 760 may be programmed to translate the displacement member at a lower velocity and/or with lower power. When thinner tissue is present, the control circuit 760 may be programmed to translate the displacement member at a higher velocity and/or with higher power.
In some examples, the control circuit 760 may initially operate the motor 754 in an open loop configuration for a first open loop portion of a stroke of the displacement member. Based on a response of the instrument 750 during the open loop portion of the stroke, the control circuit 760 may select a firing control program. The response of the instrument may include, a translation distance of the displacement member during the open loop portion, a time elapsed during the open loop portion, energy provided to the motor 754 during the open loop portion, a sum of pulse widths of a motor drive signal, etc. After the open loop portion, the control circuit 760 may implement the selected firing control program for a second portion of the displacement member stroke. For example, during the closed loop portion of the stroke, the control circuit 760 may modulate the motor 754 based on translation data describing a position of the displacement member in a closed loop manner to translate the displacement member at a constant velocity. Additional details are disclosed in U.S. patent application Ser. No. 15/720,852, titled SYSTEM AND METHODS FOR CONTROLLING A DISPLAY OF A SURGICAL INSTRUMENT, filed Sep. 29, 2017, which is herein incorporated by reference in its entirety.
In one aspect, sensors 788 may be implemented as a limit switch, electromechanical device, solid-state switches, Hall-effect devices, MR devices, GMR devices, magnetometers, among others. In other implementations, the sensors 638 may be solid-state switches that operate under the influence of light, such as optical sensors, IR sensors, ultraviolet sensors, among others. Still, the switches may be solid-state devices such as transistors (e.g., FET, junction FET, MOSFET, bipolar, and the like). In other implementations, the sensors 788 may include electrical conductorless switches, ultrasonic switches, accelerometers, and inertial sensors, among others.
In one aspect, the position sensor 784 may be implemented as an absolute positioning system comprising a magnetic rotary absolute positioning system implemented as an AS5055EQFT single-chip magnetic rotary position sensor available from Austria Microsystems, AG. The position sensor 784 may interface with the control circuit 760 to provide an absolute positioning system. The position may include multiple Hall-effect elements located above a magnet and coupled to a CORDIC processor, also known as the digit-by-digit method and Volder's algorithm, that is provided to implement a simple and efficient algorithm to calculate hyperbolic and trigonometric functions that require only addition, subtraction, bitshift, and table lookup operations.
In some examples, the position sensor 784 may be omitted. Where the motor 754 is a stepper motor, the control circuit 760 may track the position of the closure member 764 by aggregating the number and direction of steps that the motor has been instructed to execute. The position sensor 784 may be located in the end effector 792 or at any other portion of the instrument.
The control circuit 760 may be in communication with one or more sensors 788. The sensors 788 may be positioned on the end effector 792 and adapted to operate with the surgical instrument 790 to measure the various derived parameters such as gap distance versus time, tissue compression versus time, and anvil strain versus time. The sensors 788 may comprise a magnetic sensor, a magnetic field sensor, a strain gauge, a pressure sensor, a force sensor, an inductive sensor such as an eddy current sensor, a resistive sensor, a capacitive sensor, an optical sensor, and/or any other suitable sensor for measuring one or more parameters of the end effector 792. The sensors 788 may include one or more sensors.
An RF energy source 794 is coupled to the end effector 792 and is applied to the RF electrode 796 when the RF electrode 796 is provided in the end effector 792 in place of the ultrasonic blade 768 or to work in conjunction with the ultrasonic blade 768. For example, the ultrasonic blade is made of electrically conductive metal and may be employed as the return path for electrosurgical RF current. The control circuit 760 controls the delivery of the RF energy to the RF electrode 796.
Additional details are disclosed in U.S. patent application Ser. No. 15/636,096, titled SURGICAL SYSTEM COUPLABLE WITH STAPLE CARTRIDGE AND RADIO FREQUENCY CARTRIDGE, AND METHOD OF USING SAME, filed Jun. 28, 2017, which is herein incorporated by reference in its entirety.
A first voltage sensing circuit 912 is coupled across the terminals labeled ENERGY1 and the RETURN path to measure the output voltage therebetween. A second voltage sensing circuit 924 is coupled across the terminals labeled ENERGY2 and the RETURN path to measure the output voltage therebetween. A current sensing circuit 914 is disposed in series with the RETURN leg of the secondary side of the power transformer 908 as shown to measure the output current for either energy modality. If different return paths are provided for each energy modality, then a separate current sensing circuit should be provided in each return leg. The outputs of the first and second voltage sensing circuits 912, 924 are provided to respective isolation transformers 916, 922 and the output of the current sensing circuit 914 is provided to another isolation transformer 918. The outputs of the isolation transformers 916, 928, 922 in the on the primary side of the power transformer 908 (non-patient isolated side) are provided to a one or more ADC circuit 926. The digitized output of the ADC circuit 926 is provided to the processor 902 for further processing and computation. The output voltages and output current feedback information can be employed to adjust the output voltage and current provided to the surgical instrument and to compute output impedance, among other parameters. Input/output communications between the processor 902 and patient isolated circuits is provided through an interface circuit 920. Sensors also may be in electrical communication with the processor 902 by way of the interface circuit 920.
In one aspect, the impedance may be determined by the processor 902 by dividing the output of either the first voltage sensing circuit 912 coupled across the terminals labeled ENERGY1/RETURN or the second voltage sensing circuit 924 coupled across the terminals labeled ENERGY2/RETURN by the output of the current sensing circuit 914 disposed in series with the RETURN leg of the secondary side of the power transformer 908. The outputs of the first and second voltage sensing circuits 912, 924 are provided to separate isolations transformers 916, 922 and the output of the current sensing circuit 914 is provided to another isolation transformer 916. The digitized voltage and current sensing measurements from the ADC circuit 926 are provided the processor 902 for computing impedance. As an example, the first energy modality ENERGY1 may be ultrasonic energy and the second energy modality ENERGY2 may be RF energy. Nevertheless, in addition to ultrasonic and bipolar or monopolar RF energy modalities, other energy modalities include irreversible and/or reversible electroporation and/or microwave energy, among others. Also, although the example illustrated in
As shown in
Additional details are disclosed in U.S. Patent Application Publication No. 2017/0086914, titled TECHNIQUES FOR OPERATING GENERATOR FOR DIGITALLY GENERATING ELECTRICAL SIGNAL WAVEFORMS AND SURGICAL INSTRUMENTS, which published on Mar. 30, 2017, which is herein incorporated by reference in its entirety.
As used throughout this description, the term “wireless” and its derivatives may be used to describe circuits, devices, systems, methods, techniques, communications channels, etc., that may communicate data through the use of modulated electromagnetic radiation through a non-solid medium. The term does not imply that the associated devices do not contain any wires, although in some aspects they might not. The communication module may implement any of a number of wireless or wired communication standards or protocols, including but not limited to Wi-Fi (IEEE 802.11 family), WiMAX (IEEE 802.16 family), IEEE 802.20, long term evolution (LTE), Ev-DO, HSPA+, HSDPA+, HSUPA+, EDGE, GSM, GPRS, CDMA, TDMA, DECT, Bluetooth, Ethernet derivatives thereof, as well as any other wireless and wired protocols that are designated as 3G, 4G, 5G, and beyond. The computing module may include a plurality of communication modules. For instance, a first communication module may be dedicated to shorter range wireless communications such as Wi-Fi and Bluetooth and a second communication module may be dedicated to longer range wireless communications such as GPS, EDGE, GPRS, CDMA, WiMAX, LTE, Ev-DO, and others.
As used herein a processor or processing unit is an electronic circuit which performs operations on some external data source, usually memory or some other data stream. The term is used herein to refer to the central processor (central processing unit) in a system or computer systems (especially systems on a chip (SoCs)) that combine a number of specialized “processors.”
As used herein, a system on a chip or system on chip (SoC or SOC) is an integrated circuit (also known as an “IC” or “chip”) that integrates all components of a computer or other electronic systems. It may contain digital, analog, mixed-signal, and often radio-frequency functions—all on a single substrate. A SoC integrates a microcontroller (or microprocessor) with advanced peripherals like graphics processing unit (GPU), Wi-Fi module, or coprocessor. A SoC may or may not contain built-in memory.
As used herein, a microcontroller or controller is a system that integrates a microprocessor with peripheral circuits and memory. A microcontroller (or MCU for microcontroller unit) may be implemented as a small computer on a single integrated circuit. It may be similar to a SoC; an SoC may include a microcontroller as one of its components. A microcontroller may contain one or more core processing units (CPUs) along with memory and programmable input/output peripherals. Program memory in the form of Ferroelectric RAM, NOR flash or OTP ROM is also often included on chip, as well as a small amount of RAM. Microcontrollers may be employed for embedded applications, in contrast to the microprocessors used in personal computers or other general purpose applications consisting of various discrete chips.
As used herein, the term controller or microcontroller may be a stand-alone IC or chip device that interfaces with a peripheral device. This may be a link between two parts of a computer or a controller on an external device that manages the operation of (and connection with) that device.
Any of the processors or microcontrollers described herein, may be implemented by any single core or multicore processor such as those known under the trade name ARM Cortex by Texas Instruments. In one aspect, the processor may be an LM4F230H5QR ARM Cortex-M4F Processor Core, available from Texas Instruments, for example, comprising on-chip memory of 256 KB single-cycle flash memory, or other non-volatile memory, up to 40 MHz, a prefetch buffer to improve performance above 40 MHz, a 32 KB single-cycle serial random access memory (SRAM), internal read-only memory (ROM) loaded with StellarisWare® software, 2 KB electrically erasable programmable read-only memory (EEPROM), one or more pulse width modulation (PWM) modules, one or more quadrature encoder inputs (QEI) analog, one or more 12-bit Analog-to-Digital Converters (ADC) with 12 analog input channels, details of which are available for the product datasheet.
In one aspect, the processor may comprise a safety controller comprising two controller-based families such as TMS570 and RM4x known under the trade name Hercules ARM Cortex R4, also by Texas Instruments. The safety controller may be configured specifically for IEC 61508 and ISO 26262 safety critical applications, among others, to provide advanced integrated safety features while delivering scalable performance, connectivity, and memory options.
Modular devices include the modules (as described in connection with
Power may be supplied to a power rail of the power amplifier 1620 by a switch-mode regulator 1700. In certain aspects the switch-mode regulator 1700 may comprise an adjustable buck regulator, for example. As discussed above, the non-isolated stage 1540 may further comprise a processor 1740, which in one aspect may comprise a DSP processor such as an ADSP-21469 SHARC DSP, available from Analog Devices, Norwood, Mass., for example. In certain aspects the processor 1740 may control operation of the switch-mode power converter 1700 responsive to voltage feedback data received from the power amplifier 1620 by the processor 1740 via an analog-to-digital converter (ADC) 1760. In one aspect, for example, the processor 1740 may receive as input, via the ADC 1760, the waveform envelope of a signal (e.g., an RF signal) being amplified by the power amplifier 1620. The processor 1740 may then control the switch-mode regulator 1700 (e.g., via a pulse-width modulated (PWM) output) such that the rail voltage supplied to the power amplifier 1620 tracks the waveform envelope of the amplified signal. By dynamically modulating the rail voltage of the power amplifier 1620 based on the waveform envelope, the efficiency of the power amplifier 1620 may be significantly improved relative to a fixed rail voltage amplifier scheme. The processor 1740 may be configured for wired or wireless communication.
In certain aspects, the programmable logic device 1660, in conjunction with the processor 1740, may implement a direct digital synthesizer (DDS) control scheme to control the waveform shape, frequency and/or amplitude of drive signals output by the generator 1100. In one aspect, for example, the programmable logic device 1660 may implement a DDS control algorithm by recalling waveform samples stored in a dynamically-updated look-up table (LUT), such as a RAM LUT which may be embedded in an FPGA. This control algorithm is particularly useful for ultrasonic applications in which an ultrasonic transducer, such as the ultrasonic transducer 1120, may be driven by a clean sinusoidal current at its resonant frequency. Because other frequencies may excite parasitic resonances, minimizing or reducing the total distortion of the motional branch current may correspondingly minimize or reduce undesirable resonance effects. Because the waveform shape of a drive signal output by the generator 1100 is impacted by various sources of distortion present in the output drive circuit (e.g., the power transformer 1560, the power amplifier 1620), voltage and current feedback data based on the drive signal may be input into an algorithm, such as an error control algorithm implemented by the processor 1740, which compensates for distortion by suitably pre-distorting or modifying the waveform samples stored in the LUT on a dynamic, ongoing basis (e.g., in real-time). In one aspect, the amount or degree of pre-distortion applied to the LUT samples may be based on the error between a computed motional branch current and a desired current waveform shape, with the error being determined on a sample-by sample basis. In this way, the pre-distorted LUT samples, when processed through the drive circuit, may result in a motional branch drive signal having the desired waveform shape (e.g., sinusoidal) for optimally driving the ultrasonic transducer. In such aspects, the LUT waveform samples will therefore not represent the desired waveform shape of the drive signal, but rather the waveform shape that is required to ultimately produce the desired waveform shape of the motional branch drive signal when distortion effects are taken into account.
The non-isolated stage 1540 may further comprise an ADC 1780 and an ADC 1800 coupled to the output of the power transformer 1560 via respective isolation transformers 1820, 1840 for respectively sampling the voltage and current of drive signals output by the generator 1100. In certain aspects, the ADCs 1780, 1800 may be configured to sample at high speeds (e.g., 80 Msps) to enable oversampling of the drive signals. In one aspect, for example, the sampling speed of the ADCs 1780, 1800 may enable approximately 200× (depending on drive frequency) oversampling of the drive signals In certain aspects, the sampling operations of the ADCs 1780, 1800 may be performed by a single ADC receiving input voltage and current signals via a two-way multiplexer. The use of high-speed sampling in aspects of the generator 1100 may enable, among other things, calculation of the complex current flowing through the motional branch (which may be used in certain aspects to implement DDS-based waveform shape control described above), accurate digital filtering of the sampled signals, and calculation of real power consumption with a high degree of precision. Voltage and current feedback data output by the ADCs 1780, 1800 may be received and processed (e.g., FIFO buffering, multiplexing) by the programmable logic device 1660 and stored in data memory for subsequent retrieval by, for example, the processor 1740. As noted above, voltage and current feedback data may be used as input to an algorithm for pre-distorting or modifying LUT waveform samples on a dynamic and ongoing basis. In certain aspects, this may require each stored voltage and current feedback data pair to be indexed based on, or otherwise associated with, a corresponding LUT sample that was output by the programmable logic device 1660 when the voltage and current feedback data pair was acquired. Synchronization of the LUT samples and the voltage and current feedback data in this manner contributes to the correct timing and stability of the pre-distortion algorithm.
In certain aspects, the voltage and current feedback data may be used to control the frequency and/or amplitude (e.g., current amplitude) of the drive signals In one aspect, for example, voltage and current feedback data may be used to determine impedance phase, e.g., the phase difference between the voltage and current drive signals. The frequency of the drive signal may then be controlled to minimize or reduce the difference between the determined impedance phase and an impedance phase setpoint (e.g., 0°), thereby minimizing or reducing the effects of harmonic distortion and correspondingly enhancing impedance phase measurement accuracy. The determination of phase impedance and a frequency control signal may be implemented in the processor 1740, for example, with the frequency control signal being supplied as input to a DDS control algorithm implemented by the programmable logic device 1660.
The impedance phase may be determined through Fourier analysis. In one aspect, the phase difference between the generator voltage Vg(t) and generator current Ig(t) driving signals may be determined using the Fast Fourier Transform (FFT) or the Discrete Fourier Transform (DFT) as follows:
Vg(t)=A1 cos(2πf0t+φ1)
Ig(t)=A2 cos(2πf0t+φ2)
Evaluating the Fourier Transform at the frequency of the sinusoid yields:
Other approaches include weighted least-squares estimation, Kalman filtering, and space-vector-based techniques. Virtually all of the processing in an FFT or DFT technique may be performed in the digital domain with the aid of the 2-channel high speed ADC 1780, 1800, for example. In one technique, the digital signal samples of the voltage and current signals are Fourier transformed with an FFT or a DFT. The phase angle φ at any point in time can be calculated by:
φ=2πft+φ0
Where φ is the phase angle, f is the frequency, t is time, and φ0 is the phase at t=0.
Another technique for determining the phase difference between the voltage Vg(t) and current Ig(t) signals is the zero-crossing method and produces highly accurate results. For voltage Vg(t) and current Ig(t) signals having the same frequency, each negative to positive zero-crossing of voltage signal Vg(t) triggers the start of a pulse, while each negative to positive zero-crossing of current signal Ig(t) triggers the end of the pulse. The result is a pulse train with a pulse width proportional to the phase angle between the voltage signal and the current signal. In one aspect, the pulse train may be passed through an averaging filter to yield a measure of the phase difference. Furthermore, if the positive to negative zero crossings also are used in a similar manner, and the results averaged, any effects of DC and harmonic components can be reduced. In one implementation, the analog voltage Vg(t) and current Ig(t) signals are converted to digital signals that are high if the analog signal is positive and low if the analog signal is negative. High accuracy phase estimates require sharp transitions between high and low. In one aspect, a Schmitt trigger along with an RC stabilization network may be employed to convert the analog signals into digital signals. In other aspects, an edge triggered RS flip-flop and ancillary circuitry may be employed. In yet another aspect, the zero-crossing technique may employ an eXclusive OR (XOR) gate.
Other techniques for determining the phase difference between the voltage and current signals include Lissajous figures and monitoring the image; methods such as the three-voltmeter method, the crossed-coil method, vector voltmeter and vector impedance methods; and using phase standard instruments, phase-locked loops, and other techniques as described in O'Shea, Peter, “Phase Measurement” 2000 CRC Press LLC, which is incorporated by reference herein in its entirety.
In another aspect, for example, the current feedback data may be monitored in order to maintain the current amplitude of the drive signal at a current amplitude setpoint. The current amplitude setpoint may be specified directly or determined indirectly based on specified voltage amplitude and power setpoints. In certain aspects, control of the current amplitude may be implemented by control algorithm, such as, for example, a proportional-integral-derivative (PID) control algorithm, in the processor 1740. Variables controlled by the control algorithm to suitably control the current amplitude of the drive signal may include, for example, the scaling of the LUT waveform samples stored in the programmable logic device 1660 and/or the full-scale output voltage of the DAC 1680 (which supplies the input to the power amplifier 1620) via a DAC 1860.
The non-isolated stage 1540 may further comprise a processor 1900 for providing, among other things, user interface (UI) functionality. In one aspect, the processor 1900 may comprise an Atmel AT91 SAM9263 processor having an ARM 926EJ-S core, available from Atmel Corporation, San Jose, Calif., for example. Examples of UI functionality supported by the processor 1900 may include audible and visual user feedback, communication with peripheral devices (e.g., via a Universal Serial Bus (USB) interface), communication with a foot switch 1430, communication with an input device 2150 (e.g., a touch screen display) and communication with an output device 2140 (e.g., a speaker). The processor 1900 may communicate with the processor 1740 and the programmable logic device (e.g., via a serial peripheral interface (SPI) bus). Although the processor 1900 may primarily support UI functionality, it may also coordinate with the processor 1740 to implement hazard mitigation in certain aspects. For example, the processor 1900 may be programmed to monitor various aspects of user input and/or other inputs (e.g., touch screen inputs 2150, foot switch 1430 inputs, temperature sensor inputs 2160) and may disable the drive output of the generator 1100 when an erroneous condition is detected.
As shown in the example of
A control circuit 4008 may receive the signals from the sensors 4012 and/or 4013. The control circuit 4008 may include any suitable analog or digital circuit components. The control circuit 4008 also may communicate with the generator 4002 and/or a transducer 4004 to modulate the power delivered to the end effector 4006 and/or the generator level or ultrasonic blade amplitude of the end effector 4006 based on the force applied to the trigger 4010 and/or the position of the trigger 4010 and/or the position of the outer tubular sheath described above relative to a reciprocating tubular actuating member located within an outer tubular sheath (e.g., as measured by a Hall-effect sensor and magnet combination). For example, as more force is applied to the trigger 4010, more power and/or higher ultrasonic blade amplitude may be delivered to the end effector 4006. According to various aspects, the force sensor 4012 may be replaced by a multi-position switch.
According to various aspects, the end effector 4006 may include a clamp or clamping mechanism. When the trigger 4010 is initially actuated, the clamping mechanism may close, clamping tissue between a clamp arm and the end effector 4006. As the force applied to the trigger increases (e.g., as sensed by force sensor 4012) the control circuit 4008 may increase the power delivered to the end effector 4006 by the transducer 4004 and/or the generator level or ultrasonic blade amplitude brought about in the end effector 4006. In one aspect, trigger position, as sensed by position sensor 4013 or clamp or clamp arm position, as sensed by position sensor 4013 (e.g., with a Hall-effect sensor), may be used by the control circuit 4008 to set the power and/or amplitude of the end effector 4006. For example, as the trigger is moved further towards a fully actuated position, or the clamp or clamp arm moves further towards the ultrasonic blade (or end effector 4006), the power and/or amplitude of the end effector 4006 may be increased.
According to various aspects, the surgical instrument of the surgical system 4000 also may include one or more feedback devices for indicating the amount of power delivered to the end effector 4006. For example, a speaker 4014 may emit a signal indicative of the end effector power. According to various aspects, the speaker 4014 may emit a series of pulse sounds, where the frequency of the sounds indicates power. In addition to, or instead of the speaker 4014, the surgical instrument may include a visual display 4016. The visual display 4016 may indicate end effector power according to any suitable method. For example, the visual display 4016 may include a series of LEDs, where end effector power is indicated by the number of illuminated LEDs. The speaker 4014 and/or visual display 4016 may be driven by the control circuit 4008. According to various aspects, the surgical instrument may include a ratcheting device connected to the trigger 4010. The ratcheting device may generate an audible sound as more force is applied to the trigger 4010, providing an indirect indication of end effector power. The surgical instrument may include other features that may enhance safety. For example, the control circuit 4008 may be configured to prevent power from being delivered to the end effector 4006 in excess of a predetermined threshold. Also, the control circuit 4008 may implement a delay between the time when a change in end effector power is indicated (e.g., by speaker 4014 or visual display 4016), and the time when the change in end effector power is delivered. In this way, a clinician may have ample warning that the level of ultrasonic power that is to be delivered to the end effector 4006 is about to change.
In one aspect, the ultrasonic or high-frequency current generators of the surgical system 1000 may be configured to generate the electrical signal waveform digitally such that the desired using a predetermined number of phase points stored in a lookup table to digitize the wave shape. The phase points may be stored in a table defined in a memory, a field programmable gate array (FPGA), or any suitable non-volatile memory.
Various control algorithms for ultrasonic surgical instruments and combination energy surgical instruments (e.g., ultrasonic/monopolar surgical instruments, monopolar/bipolar surgical instruments, ultrasonic/bipolar surgical instruments, and other such combination energy devices) are described herein. For the sake of clarity, surgical instruments will be referenced as surgical instrument 7012 in this section of the present disclosure, although the disclosure of this section could also apply to other surgical instruments referenced above such as surgical instrument 112, 700.
In various aspects, a control algorithm for a surgical instrument 7012 can be configured to achieve a constant heat flux along the length of the ultrasonic blade of surgical instrument 7012. The control algorithm can be applied by a control circuit and/or a surgical hub. The control circuit may execute a local computer executable program/algorithm of the surgical instrument 7012 or receive a suitable algorithm (e.g., impedance rate algorithm) from the surgical hub and/or the cloud computing system. Alternatively, the surgical hub could execute the algorithm remotely for the surgical instrument 7012. The constant heat flux may advantageously improve the quality of tissue coagulation, cutting, or sealing. The surgical instrument 7012 could be an ultrasonic and bipolar or a combination energy modality surgical instrument. The control algorithm may involve determining or adjusting clamp force in proportion to the progression of surgical coagulation of the tissue grasped by the surgical instrument 7012. Moreover, the control algorithm could involve variably changing, such as increasing, the clamp arm pressure applied on a tissue bite that has been loaded into the end effector, to produce constant heat flux along the blade length.
In particular, the power of electrosurgical energy delivered by the generator of surgical instrument 7012 as well as the applied clamp arm pressure can be adjusted or determine to attain a predefined heat flux. Additionally or alternatively, these can be adjusted to achieve a predefined amount of power to be applied to the tissue. For example, the control algorithm can comprise varying the RF and ultrasonic power level delivered by the generator in conjunction with varying the clamp arm pressure to achieve a predefined heat flux or power applied to the tissue. The heat flux could be constant or nearly constant over the weld time of the tissue relative to a surgical treatment cycle. The variation implemented by the control algorithm can be based on at least one parameter, which can include, for example, tissue impedence, blade natural frequency, temperature, or some other parameter (e.g., tissue operational parameter). Additionally or alternatively, the variation in clamp pressure and power level can be based on a heat flux controlled threshold. This heat flux controlled threshold can be dynamic so that the threshold adjusts along the blade length based on the progression of the surgical cutting and coagulation. This progression may be assessed by the corresponding focal point, which may be findicative of how well formed a fibrin clot is for coagulation, for example. Accordingly, a constant heat flux along the length of the blade could be generated, with the applied clamp force being proportional or corresponding to coagulation.
The control algorithm might also be configured to achieve constant heat flux by adjusting power over a series of sequential impedance set points based on the time to achieve a set point, in order to mimic impedance rise. In other words, as the generator of the surgical instrument 7012 progressively delivers power according to predetermined power curves (which define a relationship between power delivered to the tissue and the tissue impedance), the control circuit may be configured to determine whether the tissue impedance reaches a certain quantity at a certain time. When the certain quality is reached, the generator may be idle for a period of time and/or switch to a different power curve. If the certain quality is not reached, the generator may switch to a different power curve at that time or upon the control circuit determining that the certain quality will not or likely will not be reached. Additionally or alternatively, the control circuit could select power curves based on forecasting that applying the selected power curve would cause the tissue impedance to reach a particular impedance level at a particular time in the surgical treatment cycle.
The targeted or set tissue impedance points can be dependent on the next target point and/or the time required to reach the last set point. That is, for a series of tissue impedance points, each point can be determined based on its neighboring points, which may be either immediately before or after the subject point. Other points in the series can also be used to determine the value of the subject point. Each set point is defined as a tissue impendence target with an associated power level. For the series of impedance target points, as the delivery of power by the generator causes the tissue impedance to reach the subject point, the next tissue impedance target and power level can be determined. The subsequent impedance target point can be determined or adjusted based on overall tissue impedance level at that moment of the surgical treatment cycle and the time required to attain the previous impedance target point. The set points may include a predefined time, such as a dwell time, at the impedance target points prior to the control circuit determining the next adjustment.
In executing the control algorithm, the control circuit and/or surgical hub may cause the end effector of the surgical instrument 7012 to progressively close while applying a constant or nearly constant clamp force or pressure to the grasped tissue along the length of the ultrasonic blade. That is, the control circuit and/or surgical hub can adjust end effector closure to account for changes in clamp force applied to the tissue that result from the progression of the surgical coagulation and/or cutting treatment. For example, as grasped tissue is coagulated and cut at the proximal portion of the end effector, the corresponding proximal sections of the tissue may experience a greater applied clamp pressure due to the advancement of the surgical coagulation/cutting. Thus, as the control circuit and/or surgical hub senses or determines the progression of this coagulation/cutting action (e.g., via the sealing or weld focal point), it may adjust by increasing the clamp force applied to the distal sections of the tissue. In this way, each section of the grasped tissue may experience a uniform clamp pressure. As the location of the coagulation/cutting focal point shifts along the length of the end effector, the applied clamp force can be further adjusted. Additionally or alternatively, the clamp arm (alternatively referred to as the first jaw) of the end effector could be curved so as to accentuate or amplify the clamp force.
Because the curved clamp arm would result in different clamp pressure applied to tissue, the control algorithm may be executed to compensate for this clamp arm deflection. Thus, as the end effector gradually reaches its full closure stroke, the control circuit and/or surgical hub can execute the control algorithm to compensate for this deflection in order to provide a constant or near constant clamp tissue pressure along the length of the blade (alternatively referred to as the second jaw of the end effector). Accordingly, the end effector may apply relatively greater clamp force at the distal portions of the end effector when the tissue is being treated in a proximal to distal direction. Moreover, the clamp arm deflection may cause variation in heat flux along the length of the end effector. To address this, the control algorithm may involve selectively energizing surgical treatment electrodes (e.g., RF electrodes in the end effector) to compensate or account for this variation. Specifically, the RF electrodes could be segmented into proximal and distal segments and the control circuit and/or surgical hub could control the generator to selectively energize the RF electrode segments as appropriate to obtain a uniform and constant or approximately uniform and constant heat flux.
The control circuit and/or surgical hub can be configured to execute the control algorithm to control the energization of the segmented surgical treatment electrodes. For example, the electrodes may comprise two pairs of RF electrodes on each jaw of the end effector. The control circuit can control the energization in conjunction with the progressive closure of the clamp arm/first jaw to achieve a constant current density along the end effector. Each of the two pairs of RF electrodes could be referred to as a proximal and distal set of electrodes, respectively, and can be energized as a set. The control circuit may control the generator to sequentially energize the proximal and distal set of electrodes so that an equal current density is generated or created in both the proximal and distal portions. In one aspect, the control circuit and/or surgical hub may energize the proximal set of electrodes while causing the end effector to compress the tissue at a first jaw pressure, which results in a predefined current density. When the measured tissue impedance (e.g., measured via a pressure, resistive, or other suitable sensor in the end effector) reaches or exceeds a predetermined threshold, the control circuit and/or surgical hub may energize the distal set of electrodes and de-energize or cease applying power to the proximal set of electrodes. Simultaneously or substantially simultaneously, the clamp force applied by the clamp arm/first jaw may be increased to recreate the predefined current density in the distal area where the distal set of electrodes are located. In this way, the two proximal and distal set of electrodes can be energized or powered sequentially. Moreover, this sequential energizing can occur in conjunction with variable application of clamp force. Additionally or alternatively, as the proximal set of electrodes delivers electrosurgical energy to treat the tissue, the distal set of electrodes may simultaneously receive power from the generator at a lower power level for pre-heating. That is, the distal portion of the end effector may be pre-heated while the proximal portion is used to treat tissue. Similarly, the proximal portion of the end effector may also be pre-heated.
The surgical instrument 7012 may have a tissue (e.g., blood vessel) sealing mode in which a specific tissue impedance change over time or rise rate and predictable coagulation time interval are targeted. During operation of the energy-based surgical instrument 7012, the tissue impedance may be selectively increased in order to “starve” the coagulation cycle. Put differently, by applying electrosurgical energy according to target tissue impedance points and dwell time, the progression of the coagulation cycle can be dynamically halted or “starved” as necessary to achieve the desired impedance rate of change and coagulation time interval. In this way, the generator can adjust power by incrementing or cycling through different load or power curves based on target impedance set points with associated power levels and dwell times in between switching power levels or curves in order to obtain an overall coagulation time interval. The overall coagulation time may include changes in impedance rise rates, as discussed in more detail below. In one aspect, an impedance rise rate such as 50 Ohms (Ω) per second can be achieved adjusting the dwell time at each target to a target time interval such as 2 seconds (e.g., if applying the current power level or curve would otherwise increase the impedance to 100Ω) or increasing the number of targets and spacing them at specified increments such as 50Ω increments such that each power level or curve is applied until the next 50Ω target is reached.
Furthermore, selectively achieving tissue impedance rise rates can be performed to attain a predictable sealing time as measured by a surgical coagulation cycle. For example, the generator may apply power to the tissue according to a first power curve (e.g., specifying max power of 200 watts) to reach the target of 100Ω with a four second dwell time interval. After reaching 100Ω and dwelling for 4 seconds, the generator may achieve applying a series of power levels or curves. Each power level or curve can be determined and applied until reaching a next target impedance point with an associated power level and a dwell time, in which the target impedance points progressively increase by 100Ω (i.e., each point is 100Ω greater than the last). By controlling the generator in this manner, at each subject target impedance point, the applied power level or curve can be changed according to the next target impedance point. The next impedance point can have an associated power level and dwell time before the next impedance point is determined, which can be based on the overall tissue impedance level and time required to achieve the subject target impedance point. In adjusting impedance rise rates according to these dynamically determined target impedance points, a predictable sealing time could be achieved, such as a cycle time of 7 seconds in the example currently being described.
The surgical instrument 7012 may be configured to deliver a composite electrosurgical energy comprising ultrasonic and RF energy to separate treated tissue from a relatively hard or rigid substructure such as the patient's bone. To determine when this particular combination of electrosurgical energy should be applied, the sensors 788 can determine and monitor the natural or resonant frequency of the waveguide (and the blade that the waveguide terminates at). The waveguide natural frequency may be equivalent to the adjustment of the drive frequency made by the generator. In particular, the sensors 788 can detect when the natural frequency experiences a wave or phase shift in order to determine when the end effector may impact a hard substructure (e.g., bone, relatively harder layer of soft tissue, etc.). When such impact or contact is determined, the generator may be controlled to throttle back both the ultrasonic blade amplitude and RF power level. That is, the generator can reduce the transducer current used to vibrate the ultrasonic blade and the power transmitted to the RF electrodes. Accordingly, the surgical instrument 7012 can properly separate tissue from a harder substructure using ultrasonic energy to complement the heat generated by the application of RF energy when the control circuit and/or surgical hub detects bone or differences in soft tissues based on the ultrasonic resonant frequency. The control algorithm could also be configured to detect and throttle back the application of electrosurgical energy upon detection of contact with non-tissue objects such as when underlying clips, staples are encountered or when the surgical instrument 7012 contacts another instrument.
As stated above, the surgical instrument 7012 could be a combination surgical instrument such as a combination monopolar/bipolar electrosurgical instrument in which the type of electrosurgical energy could be ultrasonic, RF, or some other suitable energy modality. In the monopolar modality, the patient being treated acts as the return path or electrical ground (e.g., via return pad on patient's skin) while in the bipolar modality, the ultrasonic blade acts as the second pole for the transmission of the electrosurgical energy. The bipolar modality may generally be preferred for more controlled, localized applications of electrosurgical energy. In this context, the control circuit and/or surgical hub can execute the control algorithm to alter the frequency of the electrosurgical monopolar energy so that it is non-therapeutic (outside treatment range) in order to monitor aspects of the bipolar modality or system. Thus, in aspects in which the surgical instrument 7012 functions as a bipolar tool such as surgical shears, the performance of the control algorithm can provide improved nerve sensing. Specifically, the bipolar and monopolar energy modalities could be applied simultaneously or nearly simultaneously with monopolar energy delivered to the end effector at a non-therapeutic frequency as feedback to the bipolar energy delivery. For example, the generator may deliver a drive signal for nerve stimulation such as a biphasic signal at 100-1000 hertz (Hz) to stimulate the patient's nerves in which the monopolar energy circuit provides monopolar energy at a non-therapeutic frequency while the bipolar energy circuit provides bipolar energy at a range of 200 kilohertz (kHZ) to 3 megahertz (MHz). In this way, the non-therapeutic monopolar component can be used as feedback to the control circuit and/or surgical hub to determine the end effector's proximity to the patient's nerves. Using the determined nerve proximity, the surgical instrument may minimize inadvertent cutting of nerves by the bipolar shears. Alternatively, the delivered bipolar energy could be feedback to the monopolar energy.
Furthermore, the surgical instrument 7012 might regulate the application of bipolar electrosurgical energy based on the change of impedance resulting from the application of monopolar electrosurgical energy. Specifically, the control circuit and/or surgical hub can perform the control algorithm to monitor the relative change of impedance from monopolar energy such that the control settings of the bipolar energy are controlled. The sensors 788, control circuit and/or surgical hub can detect or determine impedance based on a signal transmitted via the monopolar energy circuit. For example, the impedance could be determined by dividing the output of the monopolar voltage sensing circuit by the monopolar current sensing circuit. The bipolar control settings could be settings that define how the bipolar energy is delivered to the end effector. Thus, executing the control algorithm can result in controlling bipolar power using monitored monopolar impedance such as regulating bipolar power level based on changes in the determined monopolar impedance. For example, given an applied clamp arm pressure of 14-17 pounds tip load, the generator can cycle from zero power to full power mode such as 200 watts (W) and use the monopolar to measure the relative impedance increase (e.g., to a particular threshold, such as 80Ω) to control when to shift to a time-based control setting. That is, at the transition from 0 to 200 W, the determined change of 80Ω may be used to trigger a change to the time-based bipolar power control setting that specifies applying a constant amount of power such as 100 W for a predetermined amount of time. Alternatively, the determined change of 80Ω could cause a proportional step power decrease, such as a decrease in full power that is proportional to the increase in monopolar impedance.
The surgical instrument 7012 could also be a combination surgical instrument such as a combination monopolar/ultrasonic electrosurgical instrument in which the monopolar energy is used to sense or monitor surgical treatment using the ultrasonic modality. In particular, the operational frequency of the monopolar energy may be changed in order to monitor aspects of the ultrasonic energy modality. For example, the monopolar energy could initially be output at a therapeutic frequency level and switched to a lower, non-therapeutic frequency and power level to obtain tissue impedance measurements, which can be used for monitoring the ultrasonic energy delivery. Although absolute values of impedance may not be useful, changes in tissue impedance values can be compared against the expected changes in tissue impedance resulting from electrosurgical treatment in order to detect the tissue treatment effects of the delivered ultrasonic energy. In other words, as the tissue is being treated by the ultrasonic energy, there may be an expected change in tissue impedance. The control circuit and/or surgical hub may be configured to determine whether the tissue effects caused by the ultrasonic treatment are consistent with the expected change by using the change in frequency of the monopolar energy, such as by switching to a non-therapeutic frequency level.
The change in operation frequency of the monopolar energy modality for monitoring the ultrasonic energy modality could also be achieved by switching the drive frequency to a very high level, such as greater than 10 MHz to enable tissue monitoring. In this way, the change in monopolar frequency could be used to monitor the therapeutic effect on the tissue resulting from the other energy modality such as the ultrasonic energy modality, as discussed above. In some situations, undesirable parasitic impedances may result. However, the higher drive frequencies of the monopolar energy modality may beneficially negate or minimize parasitic or stray capacitance deriving from the use of a monopolar return pad (e.g., MEGADYNE™ MEGA SOFT™ Reusable Patient Return Electrode). Nonetheless, relatively higher therapeutic monopolar frequencies may also operate effectively even with the monopolar power set to lower levels to detect tissue impedances. As stated above, alternatively, the generator could drive the monopolar output at lower frequencies and sub-therapeutic currents for sensing ultrasonic treatment and the associated effects on treated tissue. Lower frequencies may not result in as many parasitic effects because of cable draping, lengths and other such reasons, but the sensing or monitoring of the ultrasonic energy modality may be limited by the usage of the monopolar return pad.
Although at least some portion of the control algorithm(s) disclosed herein can be performed by surgical hubs (alone or in conjunction with associated control circuits of surgical instruments), the functions of the control algorithm(s) are described as performed by control circuits for the sake of clarity. Also for clarity, the control circuit of surgical instrument 7012 in this portion of the present disclosure is labeled control circuit 710, although control circuit 710 can be the same or similar to control circuits 760, 3200, 3502, 4008. Control circuit 710 may be a part of the generator 4002 itself (referred to as generator 4002 for clarity although generator 4002 can be the same or similar to generator 140, 145, 240, 721, 771, 900, 1100) or another part of the surgical instrument 7012 that is remote from the generator 4002. In various aspects, the surgical instrument 7012 (e.g., ultrasonic surgical instrument) as described in
The heat flux could be implemented by the control circuit 710 as a heat flux control threshold that may stay the same or change over the duration of the surgical operation performed by the surgical instrument 7012, such as based on the progression of the surgical cutting/coagulation. For example, the control circuit 710 could adjust the heat flux control threshold based on the determined coagulation focal point, progression of the focal point, and/or progression of the cutting. The predefined heat flux may beneficially improve the quality of surgical treatment, such as the tissue seal that is formed. In
The dashed line 203502 represents the force applied by the clamp arm over time and tracks the application of force by the clamp arm, from the minimum force at time t0 to maximum force at time t10. The value or amount of the clamp force may be a function of the process of the tissue coagulation process, which could be tracked based on the location of the coagulation/cut focal point on the end effector as it spans t0 to time t10. As illustrated by dashed line 203502, the applied clamp force increases as tissue coagulation/cutting action is sensed. The dashed line 203502 reaches the maximum force at a point close to time t6, where the force stays at its maximum level until time t10. The dash-and-dot line 203504 represents the measured tissue impedance over the surgical cycle. As can be seen on graph 203500, the measured tissue impedance decreases from its initial level at time t0 to the low point at around time t3, demonstrating the drop in impedance resulting from the commencement of surgical treatment (the so-called “bathtub” portion of the impedance curve). After time t3, the tissue impedance line 203504 rises as the tissue being treated begins to dry out. This desiccation results in an increase in tissue impedance.
Moreover, the control circuit 710 may be configured to control the closure of the end effector while compensating for clamp arm deflection, which may result from the curved shape of the end effector. For example, the control circuit 710 could mechanically adjust the force applied by the clamp arm to offset any disproportionate force exerted based on the curvature of the clamp arm so that a constant or near constant tissue pressure is provided along the length of the end effector. Furthermore, the control circuit 710 may selectively energize different segments (e.g, proximal and distal) of RF electrodes such as RF electrodes 796 in order to compensate or adjust for heat flux variation caused by the clamp arm deflection, as described in more detail below. The control circuit 710 could be configured to determine the cut/weld focal point based on one or more of the resonant frequency and electrical continuity feedback measures. A constant heat flux along the length of the ultrasonic blade 203524 may also be achieved. For example, as tissue is coagulated and cut at the proximal sections of the end effector, the delivered electrosurgical power level is relatively higher at those proximal sections. Accordingly, the control circuit 710 might execute the control algorithm to increase the clamp force at the distal sections, which results in higher current density at the distal sections that may compensate for the relatively lower power level at the distal sections. In this way, the heat flux and pressure experienced by the tissue along the ultrasonic blade 203524 may be constant and/or consistent with the heat flux control threshold. The control circuit 710 may receive, from a sensor 788, a sensor signal indicative of a surgical parameter. The surgical parameter may be tissue impedance, a natural frequency of the ultrasonic blade, temperature, or a tissue parameter. The weld time of the surgical operation can be determined by the control circuit 710 based on the sensor signal. The control circuit 710 can vary one or more of a clamp arm pressure applied by the clamp arm and a power level of the electrosurgical energy to maintain one or more of a predefined heat flux or power applied to tissue loaded in the end effector.
The control circuit 710 may be configured to execute a control algorithm to control the application of power to the segmented electrodes 203546A-203546B, 203548A-203548B by the generator 4002 in conjunction with controlling the progressive closure of the clamp arm 203542 in order to obtain a constant or near constant current density throughout the end effector 203540.
A tissue impedance signal (or signals indicative of current and voltage) may be output by sensor 788 (e.g., pressure, resistive, or other suitable sensor) and transmitted to the control circuit 10 as feedback. When the control circuit 710 determines that the tissue impedance has reached a predetermined or dynamically determined threshold, the control circuit 710 may control the end effector 203560 and generator 4002 to change one or more of clamp force and power level (e.g., to reach a constant heat flux and/or the heat flux control threshold). In particular, the end effector 203560 may be controlled to apply an increased jaw pressure that is higher than the first jaw pressure. Simultaneously or in the same time frame, the control circuit 710 controls the generator 4002 to power off the proximal electrode pair and instead deliver power to one of the distal electrode pair individually or to both pairs in conjunction. That is, the generator 4002 powers one or more of the distal segment of electrodes 203546C-203546D, 203546C-203546D. In this way, the same current density in the clamped tissue may be obtained for the distal electrodes or portion of the end effector 203560 as the proximal electrodes or portion of the end effector 203560. The current density could be predetermined or dynamically determined, as appropriate. As depicted in
The power level associated with each impedance point may be determined based on a power level that achieves a subsequent impedance point which tracks a different impedance versus time curve compared to the default impedance bathtub curve. The different impedance curve may be less (although it could be more as well) aggressive than the bathtub curve, for example. In this way, as each impedance point in the series is achieved and each associated power level is determined according to the desired impedance versus time curve, a desired rise in impedance may be mimicked. This rise in impedance may correspond to the drying out of the tissue 203570, except that the rise may be adjusted relative to the default bathtub curve so that an improved tissue seal may be obtained. Additionally or alternatively, by dynamically determining the set impedance points and associated power levels, the control circuit 710 may implement the surgical treatment according to a predictable coagulation time interval. The associated power level determined for each set impedance point may be one or more power values. In particular, the associated power level may be determined according to a load or power curve. The power curve could be a predetermined power curve stored in the memory of the surgical instrument 7012, a dynamically determined power curve according to a mathematical model or equation (e.g., a change in the variables used in the equation to determine power or a different equation altogether), or some other suitable means, for example.
Accordingly, the impedance points could be dynamically determined or targeted to achieve a selective impedance increase. As discussed above, by controlling the rate of rise of impedance of the tissue 203570 in this way, the tissue coagulation may be more predictable and improved. Also, there could be a dwell time between adjacent impedance set points in the series. This dwell time between impedance points may “starve” the coagulation cycle. That is, during the dwell time, the generator 4002 may not deliver any power to the end effector 203560 such that the impedance of the tissue 203570 does not change significantly during the dwell time. The graph 203620 may show a natural load or power curve (e.g., curve representing power level as a function of tissue impedance) as indicated by the plotted applied power line 203626. The applied power line 203620 also shows the dwell time. The natural power curve could be the desired impedance versus time curve including a desired rise in impedance that is achieved dynamically as impedance points in the series are set. In particular, the graph 203640 portrays the first set impedance point in the series of sequential impedance points.
The first set point occurs at 100Ω such that the generator 4002 delivers the associated power level rising up to maximum power such as 200 Watts (W) to achieve 10052. The associated power level(s) could be determined based on: applying a power curve stored in memory of the surgical instrument 7012, corresponding surgical hub and/or cloud; applying a segment or particular portion of a power curve; or determining an appropriate level such as by reference to the desired natural power curve. As can be seen in graph 203640, the corresponding first power curve is applied as represented by applied power line 203646 to incrementally mimic the natural power curve. The applied power line 203646 also shows the dwell time. As such, the desired rise rate and natural power curve could be used as a guide in conjunction with the elapsed time for determining the next impedance point and associated power level. The remainder of the first power curve or power level(s) is generally represented by the dotted line 203648. Upon reaching the first set impedance point at 100Ω, the generator 4002 may dwell for a suitable period of time. This dwell time could be predefined or contemporaneously determined by the control circuit 710 and may be useful for temporarily pausing or slowing the coagulation cycle. During the dwell time, the control circuit 710 may assess the progress of the tissue coagulation, which might be compared to the desired natural power curve, for example. The dwell time might be four seconds, for example. After dwelling for four seconds, the control circuit 710 may determine that the next set impedance point is 200Ω based on various factors such as reference to the last set point of 100Ω, an estimated next impedance point, and/or the desired natural power curve (e.g., the overall or contemporaneous impedance level of the tissue 203570 relative to the natural power curve).
Also, the control circuit 710 may determine that the corresponding power level is lower than 200 W, such as according to a second power curve that gradually reduces the power level to below 200 W. This second power curve or power level(s) might be different from the first power curve or power level(s) Similar to the first set impedance point, the generator 4002 may deliver power to mimic or follow a desired impedance rise rate and/or in accordance with the natural power curve. That is, the generator 4002 may deliver power so that the second set impedance point is anticipated to be reached in a desired amount of time. The graph 203660 includes applied power line 203666, which shows the application of this second associated power by the generator 4002 to reach 200Ω and the dwell time. The remainder of the second power curve or power level(s) is generally represented by the dotted line 203668. Upon the impedance reaching 200Ω, the control circuit 710 may determine the amount of dwell time that is appropriate. For example, the control circuit 710 might determine that the generator 4002 should dwell for 1 second to pause the tissue coagulation. The control circuit 710 can further determine the next target impedance point is set at 300Ω as the impedance reaches 200Ω. As discussed above, the 300Ω can be determined based on factors such as reference to the last set point of 200Ω, an estimated next impedance point, and/or the desired natural power curve. The associated third power curve or power level(s) to be applied by the generator 4002 can be determined by reference to or in accordance with a desired impedance rise rate and/or natural power curve, as described above. The third power curve or power level(s) could be used to change the relative rate of change of power level as a function of impedance as shown in graph 203680. The remainder of the third power curve or power level(s) is generally represented by the dotted line 203688.
After dwelling for 1 second, the generator 4002 may deliver power according to the corresponding third power curve or power level(s) until reaching the next set impedance point of 300Ω. This is illustrated by graph 203680. In graph 203680, the applied power line 203686 represents delivering power according to the third power curve or power level(s) and the determined dwell time. Similarly to as described above, the control circuit 710 may implement a predetermined or contemporaneously determine dwell time upon reaching 300Ω. Moreover, the control circuit 710 may determine the next impedance point to be set is 400Ω based on the various factors described above. Additionally, the control circuit 710 may change/determine the corresponding power level is a fourth power curve or power level(s). The generator 4002 can deliver power according to this fourth power curve or power level(s), as represented by applied power line 203706, until reaching the next impedance set point. The remainder of the second power curve or power level(s) is generally represented by the dotted line 203708. As the tissue impedance reached the 300Ω set point, the control circuit 710 could determine the next set point is 400Ω, similarly to the determination of previous impedance points in the series. Upon reaching the 400Ω, the control circuit 710 may determine that the tissue coagulation is complete and therefore terminate the coagulation process. This is illustrated by graph 203700. More or less set impedance points could be used, as appropriate. Based on using these dynamically determined series of set impedance points and associated power, the control circuit 710 may mimic a desired impedance rise so as to obtain a predictable coagulation time interval. The impedance points and dwell time can be used to assist in determining an “impromptu” or contemporaneously determined power curve. In other words, the generator 4002 can apply segments or portions of different power curves and/or power level(s) as appropriate. Although
Thus, the control circuit 710 could execute an impedance rate algorithm, which could be programmed into the memory of the surgical instrument 7012 or received by a surgical hub or cloud computing system. In particular, the control circuit 710 could receive a first tissue impedance point (e.g., given first set impedance point), determine a first power level of the electrosurgical energy that corresponds to the first tissue impedance point, control the generator to deliver the electrosurgical energy at the first power level, determine a second tissue impedance point, adjust the first power level to a second power level of the electrosurgical energy based on a time interval to reach the second tissue impedance point; control the generator to deliver the electrosurgical energy at the second power level. More tissue impedance points in the series of impedance points could be determined or targeted to achieve a selective impedance increase. For example, the control circuit 710 could determine a third tissue impedance point and determine the second tissue impedance point based on the third tissue impedance point and a corresponding time interval to reach the first tissue impedance point. The control circuit 710 may determine the third impedance point and associated power level after controlling the generator 4002 to deliver electrosurgical energy to reach the second impedance point.
Dwell time may also be implemented. For example, the control circuit 710 may dwell for a time before adjusting from the first to second power level and determining the third tissue impedance point. Also, for example, the control circuit may control the generator 4002 to apply power according to the following: applying a first power level to reach a first tissue impedance point; terminating, application of the first power level for a first dwell time; determining, by the control circuit, a second tissue impedance point; applying a second power level to reach the second tissue impedance point; terminating application of the second power level for a second dwell time; determining, by the control circuit, a third tissue impedance point; and applying a third power level to reach the third tissue impedance point to achieve the target impedance rise rate. The generator could further terminate application of the third power level for a third dwell time, determine a fourth tissue impedance point; and apply a fourth power level to reach the fourth tissue impedance point. As discussed above, set impedance points in the series can be determined based on prior impedance points and the time of delivering electrosurgical energy to achieve those points. Therefore, the third and fourth impedance points can be determined based on a first and second impedance point and a time to achieve them. The time to achieve the impedance points (e.g., first, second, and third points) can correspond to a predetermined coagulation time interval.
The aggressiveness of two power curves may be compared according to any suitable method. For example, a first power curve may be considered more aggressive than a second power curve over a given range of potential tissue impedances if the first power curve has a higher delivered power corresponding to at least half of the range of potential tissue impedances. Also, for example, a first power curve may be considered more aggressive than a second power curve over a given range of potential tissue impedances if the area under the first curve over the range is larger than the area under the second curve over the range. Equivalently, when power curves are expressed discretely, a first power curve may be considered more aggressive than a second power curve over a given set of potential tissue impedances if the sum of the power values for the first power curve over the set of potential tissue impedances is greater than the sum of the power values for the second power curve over the set of potential tissue impedances.
Some aspects of the surgical instrument 7012 comprise a positive temperature coefficient (PTC) material positioned between one or more of the electrodes of the jaws 203562, 203564. The PTC material may have an impedance profile that remains relatively low and relatively constant until it reaches a threshold or trigger temperature, at which point the impedance of the PTC material may increase. In use, the PTC material may be placed in contact with the tissue while power is applied. The trigger temperature of the PTC material may be selected such that it corresponds to a tissue temperature indicating the completion of welding or coagulation. Accordingly, as a welding or coagulation process is completed, the temperature of the PTC material may increase, causing a corresponding increase in the impedance of the PTC material. This additional series impedance, in series with the tissue, may cause a decrease in power actually provided to the tissue 203570.
It will be appreciated that during the coagulation or welding process, tissue impedance may generally increase. In some aspects, tissue impedance may display a sudden impedance increase indicating successful coagulation. The increase may be due to physiological changes in the tissue, a PTC material reaching its trigger threshold, etc. The amount of energy that may be required to bring about the sudden impedance increase may be related to the thermal mass of the tissue 203570 being acted upon. The thermal mass of any given tissue bite, in turn, may be related to the type and amount of tissue 203570 in the bite. The PTC material could be used to determine a weld time of a surgical operation performed by the surgical instrument 7012. Also, monitoring the PTC material or other sensors 788 in the end effector 203560 may be performed by the control circuit 710 to determine a coagulation focal/focus point and the progression of the surgical treatment (e.g, cutting). Based on these determinations, the control circuit 710 can adjust a heat flux control threshold along the length of the ultrasonic blade 203564.
Various aspects may utilize this sudden increase in tissue impedance to select an appropriate power curve for a given tissue bite. For example, the generator 4012 may select and apply successively more aggressive power curves until the tissue impedance reaches an impedance threshold indicating that the sudden increase has occurred. For example, reaching the impedance threshold may indicate that coagulation is progressing appropriately with the currently applied power curve. The impedance threshold may be a tissue impedance value, a rate of change of tissue impedance, and/or a combination of impedance and rate of change. For example, the impedance threshold may be met when a certain impedance value and/or rate of change are observed. According to various aspects, different power curves may have different impedance thresholds, as described herein.
The first power curve may be applied to the tissue 203570 in any suitable manner. For example, the generator 4002 may generate a drive signal implementing the first power curve. The power curve may be implemented by modulating the power of the drive signal. The power of the drive signal may be modulated in any suitable manner. For example, the voltage and/or current of the signal may be modulated. Also, in various aspects, the drive signal may be pulsed. For example, the generator 4002 may modulate the average power by changing the frequency, pulse width, duty cycle, etc. of the drive signal. The drive signal may be provided to the electrodes of the first and second jaw members 203562, 203564.
While applying the first power curve, the generator 4002 may monitor the total energy provided to the tissue 203570. The impedance of the tissue 203570 may be compared to the impedance threshold at one or more energy thresholds. There may be any suitable number of energy thresholds, which may be selected according to any suitable methodology. For example, the energy thresholds may be selected to correspond to known points where different tissue types achieve the impedance threshold. At step 203744, the generator 4002 may determine whether the total energy delivered to the tissue 203570 has met or exceeded a first energy threshold. If the total energy has not yet reached the first energy threshold, the generator 4002 may continue to apply the first power curve at 203742.
If the total energy has reached the first energy threshold, the generator 4002 may determine whether the impedance threshold has been reached (step 203746). As described above, the impedance threshold may be a predetermined rate of impedance change (e.g., increase) a predetermined impedance, or combination of the two. If the impedance threshold is reached, the generator 4002 may continue to apply the first power curve at step 203742. For example, reaching the impedance threshold in the first power curve may indicate that the aggressiveness of the first power curve is sufficient to bring about suitable coagulation or welding.
In the event that the impedance threshold is not reached at step 203746, the generator 4002 may increment to the next most aggressive power curve at step 203748 and apply the power curve as the current power curve at 203742. In some aspects, incrementing to the next most aggressive power curve may comprise applying a multiplier to a less aggressive power curve such as, for example, the previously implemented power curve. When the next energy threshold is reached at step 203744, the generator 4002 again may determine whether the impedance threshold is reached at step 203746. If it is not reached, the generator 4002 may again increment to the next most aggressive power curve at step 203748 and deliver that power curve at step 203742.
The process flow 203740 may continue until terminated. For example, the process flow 203740 may be terminated when the impedance threshold is reached at step 203746. Upon reaching the impedance threshold, the generator 4002 may apply the then-current power curve until coagulation or welding is complete. Also, for example, the process flow 203740 may terminate upon the exhaustion of all available power curves. Any suitable number of power curves may be used. If the most aggressive power curve fails to drive the tissue to the impedance threshold, the generator 4002 may continue to apply the most aggressive power curve until the process is otherwise terminated (e.g., by a clinician or upon reaching a final energy threshold).
According to various aspects, the process flow 203740 may continue until the occurrence of a termination threshold. The termination threshold may indicate that coagulation and/or welding is complete. For example, the termination threshold may be based on one or more of tissue impedance, tissue temperature, tissue capacitance, tissue inductance, elapsed time, etc. Upon termination, the surgical instrument 7012 and/or surgical hub 5104 may generate an audible tone indicating termination. These may be a single termination threshold or, in various aspects, different power curves may have different termination thresholds. According to various aspects, different power curves may utilize different impedance thresholds. For example, the process flow 203740 may transition from a first to a second power curve if the first power curve has failed to drive the tissue to a first tissue impedance threshold and may, subsequently, shift from the second to a third power curve if the second power curve has failed to drive the tissue to a second impedance threshold. In some aspects, rather than proceeding between power curves in order, the generator 4002 may skip one or more power curves. For example, if the impedance of the tissue at the end of a power curve exceeds a skip threshold, then generator 4002, instead of proceeding to the next power curve, may skip to a more aggressive power curve (e.g., a power curve that provides more energy for a given tissue impedance).
In some aspects utilizing a pulsed drive signal, the generator 4002 may apply one or more composite load curves to the drive signal, and ultimately to the tissue. Composite load curves, like other power curves described herein, may define a level of power to be delivered to the tissue as a function of a measured tissue property or properties. Composite load curves may, additionally, define pulse characteristics, such as pulse width, in terms of the measured tissue properties (e.g., impedance, applied current, applied voltage, temperature, reflectivity, force applied to the tissue, etc.).
Various control algorithms for ultrasonic surgical instruments and combination energy surgical instruments (e.g., ultrasonic/monopolar surgical instruments, monopolar/bipolar surgical instruments, ultrasonic/bipolar surgical instruments, and other such combination energy devices) are described herein. For the sake of clarity, surgical instruments will be referenced as surgical instrument 7012 in this section of the present disclosure, although the disclosure of this section could also apply to other surgical instruments referenced above such as surgical instrument 112, 700.
In various aspects, a control algorithm for an ultrasonic surgical instrument 7012 can be configured to apply a variable clamp arm pressure over the cycle time or the tissue coagulation/cut process of a surgical operation to create a constant proximal-to-distal pressure profile. The constant pressure profile means that each portion of tissue held within the end effector of surgical instrument 7012 along the proximal to distal end of the end effector experiences the same or substantially same pressure resulting from the force applied by the end effector clamp arm. This may advantageously result in better coagulation of surgically cut tissue. The control algorithm can be applied by a control circuit and/or a surgical hub. The constant proximal-to-distal pressure profile may involve applying the control algorithm to vary the pressure applied by the clamp arm to provide a threshold control pressure at the cut progression location. The cut progression location can be represented by the progression of a corresponding weld/coagulation focal point determined by the control circuit and/or surgical hub. Thus, the pressure may be varied based on the focal point. The threshold control pressure may be a constant pressure applied to the tissue regardless of the amount of the end effector that is active. That is, the applied pressure does not change (or at least does not significantly change) despite any changes in the extent of tissue loading of the end effector.
A tissue bite or portion of tissue may be loaded into the end effector for surgical treatment, such as by loading the distal end of the end effector with tissue first. In this way, contact may initially be made at a distal point of the end effector. A distal portion of one or more of the ultrasonic blade and clamp arm could grasp the tissue at this distal point. The initial pressure applied by the clamp arm may be determined or adjusted (e.g., from a default pressure level) by a control circuit and/or surgical hub based on the size of the tissue bite initially being grasped, which corresponds to an amount of the blade being utilized at the start (an initial tissue loading of the end effector). After surgical cutting of tissue, surgical coagulation/sealing may be performed by the surgical instrument 7012, such as by ultrasonic vibration of the ultrasonic blade and/or delivery of an RF electrical signal waveform output from the generator to RF electrodes. In the coagulation process, the progression of the weld may be used to adjust the applied clamp pressure. Specifically, the pressure of the clamp arm can adjust over the progression of the weld as the cut/weld focal point shifts along the blade.
In order to better grasp the tissue at the distal point, one or more of the blade and clamp arm could be biased or offset to create a preferential initial contact point at the distal end. Subsequently, the remaining portion of the clamp arm may then be broadly loaded in a distal to proximal manner. Stated differently, in this distal start closure stroke configuration, the offset ultrasonic blade may deflect so as to fully close against the tissue and clamp arm fully at the end effector distal end followed by deflecting further in the proximal direction. The deflections of the blade and clamp arm may be approximately equal or balanced relative to each other. The distal start closure stroke configuration is described in more detail below. The clamp arm pressure can also be varied from the initial pressure by the control circuit and/or surgical hub based on the degree that the end effector is loaded with the tissue and the progression through the weld. Also, the clamp arm pressure can be varied based on the measured tissue impedance (e.g., via a pressure, resistive, or other suitable sensor 788 in the end effector). Moreover, depending on which energy modality or modalities of the surgical instrument 7012 are selected, the power level of one or more of RF and ultrasonic energy delivered to the end effector can also be varied based on the measured tissue impedance. Other types of electrosurgical energy besides RF and ultrasonic energy could also be used.
As discussed above, the tissue loading might commence at the tip or distal end of the end effector such that the first contact between the ultrasonic blade and the clamp arm is at the tip. The surgical hub and/or control circuit can be configured to vary pressure applied by the clamp arm based on the extent of blade utilization, which could be determined via position sensor 784 (referred to in this portion of the present disclosure as position sensor 784, although position sensor 784 may also refer to position sensor 734, 4013 or others as described above). In particular, the application of clamp pressure can be controlled so that the clamp arm and ultrasonic blade do not apply pressure at portions of the end effector that do not contain tissue. In other words, the application of clamp pressure is tailored to those portions of the end effector in which tissue is located between the ultrasonic blade and clamp arm. This may advantageously reduce temperatures and heat residing in the ultrasonic blade after activation of the generator of the surgical instrument 7012. To elaborate further, when the generator delivers energy to the end effector, the portions of the end effector in which tissue is not located receive a relatively lower force so energy delivered to these portions is reduced. Consequently, after activating the generator, the peak temperatures and heat of the ultrasonic blade are reduced.
This targeted application of force by the clamp arm can be achieved based on motorized or manual closure control, tip first closure of the end effector, and feedback provided to the control circuit and/or surgical hub. The feedback could include thermally induced changes in the resonant frequency and electrical continuity (or discontinuity). The feedback could be received by the control circuit via circuitry that comprises the ultrasonic blade and a clamp arm/ultrasonic blade interface (e.g., clamp tissue pad). The changes or shift in the resonant frequency of the transducer may be used as feedback to determine the extent of the tissue loading. In this way, the feedback may be used to adjust applied clamp pressure. Furthermore, the control circuit may control the motor of the surgical instrument to implement the closure stroke so that the end effector closes at a point which is distal to the proximal-most point of the grasped tissue. In this way, a gap may be maintained between the clamp arm and ultrasonic blade at a point which is proximal to the proximal-most point of the grasped tissue.
Sensors 788 (referenced as sensors 788 in this portion of the present disclosure, although they could also refer to sensors 738 or other sensors described above) of the surgical instrument 7012 may provide end effector closure signals as input to the control circuit. Using this input, the control circuit can determine the current closure position of the end effector. When the control circuit determines that the end effector is merely closed at the tip portions (e.g., distal tip or proximal tip) or at some other sub-portion of the end effector length (e.g., the distal half of the end effector), the control circuit may reduce displacement of the ultrasonic blade. To this end, power provided to the ultrasonic transducer may be reduced. This reduction in displacement might beneficially prevent or reduce excessive wear of the clamp arm tissue pad at the distal tip. This excessive wear generally is caused by high distal forces or pressure at the distal tip (corresponding to the distal start closure stroke configuration) and inherent high distal displacement corresponding to displacement profiles associated with ultrasonic blades.
In general, when the tissue does not fully occupy the space between the jaws of the end effector, reducing the surface area of the clamp arm being compressed against the blade reduces the wasteful transmission of electrosurgical energy (e.g., including ultrasonic and RF energy) to the clamp arm and/or tissue pad. In other words, the adjustment in clamp arm pressure enables relatively more electrosurgical energy to be directed towards the tissue rather than undesirably being transmitted to other parts of the end effector. Because the pressure applied by the clamp arm is controlled based on the extent of tissue loading, a constant pressure may be applied to the tissue regardless of how much of the end effector is in an active state. The pressure may further be adjusted based on progression of the surgical coagulation/cutting treatment by the surgical instrument 7012.
Furthermore, the feedback circuitry comprising the ultrasonic blade and clamp pad can also comprise sensor 788 for sensing impedance of the tissue located between the clamp arm and the ultrasonic blade. In this case, the ultrasonic blade and associated waveguide that terminates at the blade could serve as part of the return path for the feedback circuitry. The sensed impedance can indicate a status of the coagulation/cut cycle. That is, for example, comparing the tissue impedance to a threshold may be indicative of a weld progression of the tissue, such as a progression of the weld/coagulation focal point. The focal point may be indicative of how well formed a fibrin clot is for coagulation, for example. In this way, the detected tissue impedance can enable the control circuit and/or surgical hub to adjust power provided to the ultrasonic transducer and the force applied by the clamp arm.
Although at least some portion of the control algorithm(s) disclosed herein can be performed by surgical hubs (alone or in conjunction with associated control circuits of surgical instruments), the functions of the control algorithm(s) are described as performed by control circuits for the sake of clarity. Also for clarity, the control circuit of surgical instrument 7012 in this portion of the present disclosure is labeled control circuit 710, although control circuit 710 can be the same or similar to control circuits 760, 3200, 3502, 4008. Control circuit 710 may be a part of the generator 4002 itself (referred to as generator 4002 for clarity although generator 4002 can be the same or similar to generator 140, 145, 240, 721, 771, 900, 1100) or another part of the surgical instrument 7012 that is remote from the generator 4002. In various aspects, the surgical instrument 7012 (e.g., ultrasonic surgical instrument) as described in
In particular, the control circuit 710 may execute the control algorithm to provide a constant proximal-to-distal pressure profile. By providing such a threshold control pressure, the tissue seal formed during the coagulation stage advantageously may be more uniform and secure. Accordingly, the solid line 203006, which indicates a measured pressure applied to the tissue in the end effector, stays the same or roughly constant throughout the surgical cycle. The tissue pressure line 203006 may correspond to the pressure applied at the leading edge of the end effector, where surgical coagulation and cutting occur. Clamp force can be a function of the progress of the tissue coagulation process. This relationship may be used to provide the constant tissue pressure. Thus, while tissue may be coagulated and cut at the proximal sections of the end effector, increasing clamp force at the distal section results in better coupling of the tissue to the distal sections of the ultrasonic blade. In this way, each section of tissue (which spans the proximal to distal sections of the end effector) could experience the same or approximately similar pressure. As the tissue weld progresses, the control circuit may control the clamp arm to progressive closure, which is demonstrated by graph 203000. Also, the clamp arm may be cambered to the ultrasonic wave guide that terminates into the ultrasonic blade.
In contrast to the proximal start closure stroke configuration, the present disclosure may contemplate a distal start closure stroke configuration in which first closing the distal tip of the end effector ultimately assists in advantageously attaining heat mitigation. Heat mitigation can occur by configuring the control circuit 710 to control clamp pressure according to the extent of tissue loading in the end effector. Specifically, pressure may be provided only at points of intersection where ultrasonic blade 203026 and clamp arm 203022 grasp tissue therebetween. By preventing or reducing pressure at portions of the end effector where no tissue resides, peak temperatures and residual heat after energy delivery from the generator 4002 are reduced. In this way, relatively more energy is transmitted to the tissue instead of the electrically conductive clamp arm tissue pad 203024. The clamp pad 203024 may be formed of a molded, carbon filled polytetraflouroethylene or some other suitable material and additionally may be secured to the underside of clamp arm 203022, as described in U.S. Publication No. 2017/0164997, titled METHOD OF TREATING TISSUE USING END EFFECTOR WITH ULTRASONIC AND ELECTROSURGICAL FEATURES, published on Jun. 15, 2017, which is herein incorporated by reference in its entirety.
Also, the clamp tissue pad 203024 may be electrically conducive based on the use of conductive fillers (e.g. carbon, carbon nanotubes, metallic particles, etc.). Electrical current could flow through the surgical instrument 7012 from the ultrasonic blade 203026 to the tissue pad 203024 via isolated electrical circuitry, which enables the application of therapeutic or sub-therapeutic RF energy to the tissue by the end effector (e.g., via RF electrode 796). When the surgical instrument 7012 includes RF electrode 796, the control circuit 710 can be configured to adjust one or more of a power level of the RF energy and a power level of the electrosurgical energy based on determined tissue impedance. More details regarding conductive pads may be found in U.S. Pat. No. 9,764,164, titled ULTRASONIC SURGICAL INSTRUMENTS, issued on Sep. 19, 2017, which is herein incorporated by reference in its entirety. Other aspects of combination bipolar RF and ultrasonic architectures of surgical instrument 7012 are described in U.S. Pat. No. 9,017,326, titled IMPEDANCE MONITORING APPARATUS, SYSTEM, AND METHOD FOR ULTRASONIC SURGICAL INSTRUMENTS, issued on Apr. 28, 2015; U.S. Pat. No. 10,022,568, titled DEVICES AND TECHNIQUES FOR CUTTING AND COAGULATING TISSUE, issued on Jul. 17, 2018; and U.S. Publication No. 2017/0164997, titled METHOD OF TREATING TISSUE USING END EFFECTOR WITH ULTRASONIC AND ELECTROSURGICAL FEATURES, published on Jun. 15, 2017, all of which are herein incorporated by reference in their entirety.
The control circuit 710 may control the motor of the surgical instrument 7012 to adjust the closure of the clamp arm 203022 and/or the movement of the ultrasonic blade 203026 for heat mitigation and energy efficiency. To this end, only a part of the full length of the end effector could be used to grasp and treat tissue. For example, only the distal end of the end effector could initially close on a tissue bite followed by progressively more tissue loading in the proximal direction. In this distal start closure stroke configuration, the applied force by the clamp arm is increased until reaching the full closure stroke threshold while the clamp arm 203022 and/or ultrasonic blade 203026 gradually deform to fully compress against tissue while maintaining a slight gap therebetween in portions of the end effector that do not contain tissue. When the full closure stroke of the end effector is attained, the clamp tissue pad 203024 may contact the entire length of the tissue treating portion of the ultrasonic blade 203026. In this way, the control circuit can be configured to close the end effector at a distal end of the end effector prior to closing non-distal end portions of the end effector. The pressure profile of the tissue treating or end effecting portion of the ultrasonic blade 203026 is described in more detail below.
An offset, sloping, or otherwise curved ultrasonic blade 203026 can assist in facilitating distal tip first closure of the clamp arm 203022. More detail regarding closing the distal tip of the end effector first (distal start closure stroke configuration) and the offset ultrasonic blade 203026 may be found in U.S. Pat. No. 8,444,663, titled ULTRASONIC SURGICAL SHEARS AND TISSUE PAD FOR THE SAME, issued on May 21, 2013; U.S. Pat. No. 10,004,527, titled ULTRASONIC SURGICAL INSTRUMENT WITH STAGED CLAMPING, issued on Jun. 26, 2018; U.S. Publication No. 2018/0153574, titled HEADPIECE AND BLADE CONFIGURATIONS FOR ULTRASONIC SURGICAL INSTRUMENT, published on Jun. 7, 2018; U.S. Publication No. 2018/0153574, titled HEADPIECE AND BLADE CONFIGURATIONS FOR ULTRASONIC SURGICAL INSTRUMENT, issued on Jun. 7, 2018; and U.S. Publication No. 2018/0014848, titled ULTRASONIC SURGICAL INSTRUMENTS HAVING OFFSET BLADES, published on Jan. 18, 2018, all of which are herein incorporated by reference in their entirety. As discussed above, the ultrasonic blade 203026 and/or clamp arm 203022 may be compliant so that the control circuit 710 causes the ultrasonic blade 203026 and/or clamp arm 203022 to deform as the applied clamp force increases.
The control circuit 710 may use feedback to control the end effector for heat mitigation as described above. For example, the control circuit 710 could monitor the resonant frequency of the ultrasonic blade 203026. In particular, the generator 4002 may include a tuning inductor for tuning out the static capacitance at a resonant frequency so that substantially all of generator's current output flows into the motional branch. The motional branch current, along with the drive voltage, define the impedance and phase magnitude. Accordingly, the current output of the generator 4002 represents the motional branch current, thus enabling the generator 4002 to maintain its drive output at the ultrasonic transducer's resonant frequency. The control circuit 710 can monitor drive signals of the generator 4002 that correlate to the resonant frequency. The generator 4002 may deliver electrosurgical energy to the end effector to weld tissue based on generating the drive signal. As a surgical treatment cycle proceeds, the resonant frequency changes due to changes in the material stiffness of the tissue. In turn, the change in material stiffness occurs because of the rapid accumulation of thermal energy in the ultrasonic blade 203026, as electrosurgical energy is being delivered.
The control circuit 710 is configured to evaluate this dynamic thermal response via frequency changes or frequency slope (e.g., first derivative of frequency or frequency change with respect to time), such as based on comparison to a frequency threshold parameter value. Additionally or alternatively, the control circuit 710 can compare the change in resonant frequency relative to an initial frequency value determined at the start of electrosurgical energy activation, which can be recorded to the memory of the surgical instrument 7012. Based on electrical signals generated by the generator 4002, the control circuit 710 may determine and compare frequency slope or frequency changes against corresponding thresholds. Specifically, the control circuit 710 may determine: (i) when the frequency slope is above the associated threshold parameter value and (ii) when the frequency change is above a frequency floor. Above a frequency floor means, for example, that the drop in frequency does not exceed a predetermined threshold drop relative to the determined initial frequency value. Based on one or more of these determinations, the control circuit 710 (e.g., via the motor) can control the ultrasonic blade 203026 and/or clamp arm 203022 to reduce closure force/stroke when the frequency monitoring conditions (i), (ii) are met. As such, the control circuit 710 may determine a resonant frequency measure indicative of a thermally induced change in resonant frequency to calculate a tissue weld/seal focal point.
In this way, the control circuit 710 causes the applied clamp force or pressure to “back off”, to beneficially minimize the delivery of thermal energy to the clamp pad 203024 at locations that are proximal to the proximal extent of the grasped tissue. More details regarding resonant frequency monitoring can be found in U.S. Pat. No. 8,512,365, titled SURGICAL INSTRUMENTS, issued Aug. 20, 2013; and U.S. Pat. No. 9,788,851, titled SURGICAL INSTRUMENT WITH TISSUE DENSITY SENSING, issued on Oct. 17, 2017; both of which are herein incorporated by reference in their entirety. Furthermore, the control circuit 710 can be programed to follow a set limit defining the permissible extent to which the control circuit 710 backs off on closure force or stroke. The set limit could be determined in order to prevent tissue from slipping out or otherwise escaping from the grasp of the end effector. In addition, the surgical instrument 7012 could be designed to provide user feedback such as visual, audible, tactile, haptic, vibratory, or some other feedback to the user that is indicative of the current closure state. For example, the user feedback (e.g., light emitting diode, graphical user interface, buzzer, computer generated sound, handle vibration etc.) might indicate when the end effector closes at a point proximal the proximal extent of the grasped tissue. In situations where the user selects an override setting for overriding the automatic closure control feature of the surgical instrument 7012, this user feedback can be particularly helpful to inform the user of closure status.
As another example of feedback, the control circuit 710 could monitor the electrical impedance of the surgical instrument 7012. In various aspects, the surgical instrument 7012 may conduct electrical current between the ultrasonic blade 203026 and the clamp arm tissue pad 203024 for delivery of electrosurgical energy. By monitoring this electrical current (or lack thereof), tissue impedance, or transducer impedance based on an end effector sensor 788 and/or drive signal of generator 4002, the control circuit 710 may determine the amount of tissue loading in the end effector. In particular, the control circuit 710 may be programmed to detect and maintain an impedance of the circuit comprising the blade 203026 and the clamp arm tissue pad 203024 above a predetermined threshold. This maintained impedance can correspond or approximately correspond to an electrical short. As such, the electrical short means electrical discontinuity exists between the ultrasonic blade 203026 and the clamp arm tissue pad 203024. Therefore, minimal thermal energy is delivered to the portion of the clamp arm tissue pad 203024 located proximally to the proximal extent of the grasped tissue. To arrive at this desired lack of electrical continuity, the control circuit 710 could perform the reduction or backing off of the closure force or stroke as described above. As such, the control circuit 710 may determine an electrical continuity measure to calculate a tissue weld/seal focal point.
On the other hand, when the end effector is not fully closed, the feedback received by the control circuit 710 may be used to reduce the output of the generator 4002. The output of the generator 4002 might be ultrasonic and/or bipolar RF electrosurgical energy, depending on the energy modality configuration of the surgical instrument 7012. By reducing the ultrasonic displacement of ultrasonic blade 203026 and/or RF power conducted via RF electrode 796, the control circuit 710 may prevent or lower instances of relatively high power densities at the distal tip of the end effector. This is especially true given that the ultrasonic vibration of ultrasonic blade 203026 is generally relatively high at the distal tip. In any case, avoiding these high power densities may advantageously stop or reduce excessive wearing or deterioration of the clamp arm tissue pad 203024. The acoustic drive impedance of the ultrasonic blade 203026 could also be used to assess jaw closure state. Additionally or alternatively, a closure switch of the surgical instrument 7012 such as a handle closure switch could indicate when the clamp arm 203022 and/or ultrasonic blade 203026 is closed, as described for example in U.S. Pat. No. 9,724,118, titled TECHNIQUES FOR CUTTING AND COAGULATING TISSUE FOR ULTRASONIC SURGICAL INSTRUMENTS, issued on Aug. 8, 2017, which is herein incorporated by reference in its entirety. Position sensor 734 or motor current also could be used to determine jaw closure state.
The pressure profile ratio can be defined as the sum of pressure applied in the distal portion divided by the sum of pressure applied in the proximal portion of the end effector. Therefore, pressure profile ratios>1 indicate that the end effector is distal tip loaded while pressure profile ratios<1 indicate proximal loaded status. A distal tip loaded end effector may have more cumulative pressure on the distal half while a proximal loaded end effector has more cumulative pressure on the proximal half. As demonstrated by graph 203080, the end effector measured by pressure sensor 788 is proximally loaded. The proximally loaded status may be assessed from a position in which no tissue is contained within the end effector. One such example can be seen in
Stated another way, the tissue treating portion spans 15 mm from the distal tip of the end effector, as measured in the proximal direction. The velocity and/or displacement profile as portrayed in graph 203100 demonstrates that the velocity and/or displacement of the ultrasonic blade 203026 is maximal at the distal tip and decreases to the minimal value as the distance from the distal tip increases to the maximum. Accordingly, providing a preferential distribution of clamp force towards the proximal portion of the end effector as shown in
Although
In
One example of such rules executed by the control circuit 710 includes a rule in which if the user activates the large vessel or advanced hemostasis mode of the surgical instrument 7012, the control circuit 710 verifies that the end effector 203120 has reaches the full closure stroke. This verification could occur via a handle closure or full closure switch of the surgical instrument 7012, for example. When the closure switch is not in the closed position, this indicates the end effector 203120 is not fully closed. Consequently, the surgical instrument 7012 may generate an alert such as an audible beeping sound or visual, audible, tactile, haptic, vibratory alert, or some other suitable alert. In some aspects, the surgical instrument 7012 may have mechanical components to control application of relatively high clamp force for displacing vessel structure (e.g., approximating adventitia) and of relatively low clamp force for energy delivery. More details regarding such rules and vessel structure manipulation for cutting and sealing tissue may be found in U.S. Pat. No. 8,779,648, titled ULTRASONIC DEVICE FOR CUTTING AND COAGULATING WITH STEPPED OUTPUT, issued on Jul. 15, 2014; U.S. Pat. No. 9,241,728, titled SURGICAL INSTRUMENT WITH MULTIPLE CLAMPING MECHANISMS, issued on Jan. 26, 2016; U.S. Pat. No. 9,743,947, titled END EFFECTOR WITH A CLAMP ARM ASSEMBLY AND BLADE, issued on Aug. 29, 2017; all of which are herein incorporated by reference in their entirety.
In
Moreover, the applied clamp pressure as well as displacement and velocity of ultrasonic blade 203226 can be controlled depending on the progression of the closure stroke. For example, when the end effector 203220 is only closed at the distal tip or approximately only the distal portion (e.g., in
Additionally or alternatively to adjustments to clamp arm forces based on cut/coagulation focal point, the control circuit 710 may generally apply a relatively lower distal pressure and higher proximal force to address the displacement or velocity profile of the ultrasonic blade 203226. As discussed above, the displacement or velocity of the ultrasonic blade 203226 is relatively higher at distal portions, so applied forces may be lower at those portions compared to proximal portions. The ultrasonic blade 203226 may be made of a suitable material, such as titanium metal or alloy. More specifically, the titanium alloy could be a grade 5 alpha/beta titanium alloy such as Ti-6Al-4V or it could be some other suitable metal. The clamp arm 203224 could also be made of a suitable material such as stainless steel and more particularly, a precipitation-hardened 17-4 stainless steel. Also, the clamp arm tissue pad 203224 may be electrically conductive based on conductive fillers (e.g., carbon, carbon nanotubes, metallic particles) so that the surgical instrument 7012 can conduct electrical current from the ultrasonic blade 203226 to the pad 203224 via isolated electrical conduits after the end effector 203220 is fully closed. This way, electrosurgical energy such as therapeutic or sub-therapeutic RF can be delivered to the grasped tissue.
The y-axis 203246, 203266, 203286, 203306 denotes the applied clamp force resulting from contact between the ultrasonic blade 203226 and clamp arm 203224. The applied force is represented by the applied force line 203242, 203262, 203282, 203302. In
As can be seen in
Also shown in ultrasonic blade 203346 are blade models 203352, 203372, 203392, 203412, which illustrate the progression of clamp force along the length of the end effector 203340. First dotted line 203356 represents the distal tip while second dotted line 203358 represents the proximal end of the end effector 203340. The second dotted line 203358 also may represent the proximal-most extent of the tissue 203350 or where the tissue 203350 stops. In the blade model 203352, no force is applied to the ultrasonic blade 203346. In the blade model 203372, the distal tip of the ultrasonic blade 203346 contacts the corresponding portion of clamp arm 203342, so some force is applied to the distal portion of the ultrasonic blade 203346. Areas of greater applied force may be denoted by darker shading of the pressure contours 203376, 203396, 203416. Accordingly, relatively high force represented by pressure contour 203376 is applied to the distal tip in blade model 203372. In the blade model 203392, the end effector 203340 is more partially closed in the proximal direction, so the pressure contour 203396 spans a greater length of the end effector 203340. The pressure contour 203396 may vary depending on the location of the cut/weld focal point so as to provide a constant threshold pressure on the tissue 203350. In the blade model 203392, the end effector 203340 is fully closed and applied clamp force has completed moving proximally during the closure motion. Consequently, the pressure contour 203396 spans an even greater length and terminates at the second dotted line 203358.
Various aspects of the subject matter described herein are set out in the following numbered examples:
A method of adjusting a staple parameter of a surgical stapling instrument, the method comprising: determining, by a control circuit of the surgical stapling instrument, a first stroke length for a first staple driver of the surgical stapling instrument to drive a first row of staples of a circular stapling head assembly of the surgical stapling instrument; detecting, by the control circuit, a malformed staple in the first row of staples; adjusting, by the control circuit, the staple parameter, based on the detection of the malformed staple; and determining, by the control circuit, a second stroke length for a second staple driver of the surgical stapling instrument to drive a second row of staples of the circular stapling head assembly.
The method of Example 1, wherein the staple parameter is one or more of: a height of an anvil of the surgical stapling instrument, the second stroke length, and a stroke rate.
The method of any one of Examples 1-2, wherein the surgical stapling instrument is a powered circular surgical stapling instrument.
The method of any one of Examples 1-3, wherein the second row of staples are driven by the second staple driver following a predetermined delay after driving the first row of staples.
The method of any one of Examples 1-4, further comprising: comparing, by the control circuit, the first stroke length to an upper, median, and a lower limit; and determining, by the control circuit, the adjustment to the staple parameter based on comparison.
The method of any one of Examples 1-5, further comprising: sensing, by the control circuit, a parameter associated with clamping of the anvil, wherein the parameter comprises a tissue gap, force during closure of the anvil, tissue creep stabilization, or force during firing, or any combination thereof.
The method of any one of Examples 1-6, further comprising: adjusting, by the control circuit, a staple height of the first and second rows of staples within a range of selectable staple heights that is varied based on the tissue loading detected during retraction of the anvil.
The method of Example 7, further comprising: indicating, by the control circuit, a nominal staple height within a window range; and adjusting, by the control circuit, the window range of an acceptable staple height as compression is increased or tissue gap is decreased.
A method of adjusting a cutting parameter of a surgical stapling instrument, the method comprising: receiving, by a control circuit of the surgical stapling instrument, a sensor output signal from a sensor of the surgical stapling instrument; determining, by the control circuit, a parameter associated with clamping of an end effector of the surgical stapling instrument, based on the sensor output signal; and controlling, by the control circuit, a torque applied to a cutting member of the surgical stapling instrument, wherein the motor moves the cutting member between first position and a second position by applying the torque to the cutting member.
The method of Example 9, wherein the cutting member is independently actuatable from the end effector.
The method of any one of Examples 9-10, wherein the parameter comprises a tissue gap, force during closure of the end effector, tissue creep stabilization, or force during firing, or any combination thereof.
The method of any one of Examples 9-11, further comprising: controlling, by the control circuit, an advancement rate at which the motor drives the cutting member according to initial conditions as the motor begins driving the cutting member from the first position.
The method of any one of Examples 9-12, further comprising: controlling, by the control circuit, the motor to drive the cutting member in either a load control mode or a stroke control mode according to an adjustable control parameter.
The method of any one of Examples 9-13, wherein the control circuit controls the torque applied to the cutting member to adjust one or more of: a torque, a speed, and a distance of the cutting member.
The method of any one of Examples 9-14, further comprising: adjusting, by the control circuit, an initial speed of the cutting member based on a toughness of tissue grasped within the end effector.
A method of controlling a surgical stapling instrument, the method comprising: receiving, by a control circuit of the surgical stapling instrument, a sensor output signal from a first sensor of the surgical stapling instrument; determining, by the control circuit, a parameter associated with operation of the surgical stapling instrument, based on the sensor output signal; determining, by the control circuit, an anvil gap of an anvil of the surgical stapling instrument, wherein the anvil clamps tissue; comparing, by the control circuit, the anvil gap to a predetermined gap; and executing, by the control circuit, an electronic lockout to prevent actuation of the surgical stapling instrument based on the comparison and the determined parameter.
The method of Example 16, further comprising: comparing, by the control circuit, the determined parameter to a first and a second threshold, wherein the determined parameter comprises tissue compression force; executing, by the control circuit, the electronic lockout based on the comparison of the tissue compression force to the first and second threshold.
The method of any one of Examples 16-17, wherein the electronic lockout comprises one or more of: a compulsory, a discretionary, and a no limit electronic lockout.
The method of any one of Examples 16-18, further comprising: sensing, by a second sensor of the surgical stapling instrument, a secondary measure of the surgical stapling instrument, wherein the secondary measure comprises one or more of a severity of failure, a user input, and a predefined comparison lookup table; controlling, by the control circuit, the electronic lockout based on the secondary measure.
The method of any one of Examples 16-19, further comprising: executing, by the control circuit, a predetermined wait period prior to enabling operation of the surgical stapling instrument.
Various additional aspects of the subject matter described herein are set out in the following numbered examples:
A surgical hub within a surgical hub network comprising: a controller comprising a processor, wherein the controller is configured to determine a priority of a communication, an interaction, or a processing of information based on a requirement of a system or a device in communication with the surgical hub.
The surgical hub of Example 1, wherein the controller is configured to prioritize an order of transmission of one or more communication packets.
The surgical hub of Example 2, wherein the one or more communication packets are directed to a device outside of the surgical hub network.
The surgical hub of Example 3, wherein the one or more communication packets comprise data to update routines, processes, or data required to execute a critical procedural step executed by the processor.
The surgical hub of any one or more of Examples 1-4, wherein the controller is configured to prioritize a communication traffic flow within the surgical hub network.
The surgical hub of Example 5, wherein the controller is configured to adjust the communication traffic flow to enable a critical piece of data to take priority thereby insuring the success of a critical device or a hub process or a hub operation.
The surgical hub of any one or more of Examples 5-6, wherein the controller is configured to delay or interrupt the communication traffic flow.
The surgical hub of Example 7, wherein the controller is configured to interrupt the communication traffic flow and the interruption of the communication traffic flow comprises a short term re-ordering of communication packets.
The surgical hub of any one or more of Examples 7-8, wherein the controller is configured to delay the communication traffic flow and the delay of the communication traffic flow comprises a long term adjustment to a data collection or to a transmission rate.
The surgical hub of any one or more of Examples 6-9, wherein the adjustment continues for a short period of time.
The surgical hub of any one or more of Examples 6-10, wherein the adjustment continues for the duration of the procedure
The surgical hub of any one or more of Examples 6-11, wherein the adjustment continues until the prioritization of the communication traffic flow changes.
A network of surgical hubs, comprising: a first surgical hub having a first controller; and a second surgical hub having a second controller, wherein the first controller is configured to control one or more interactions between the first surgical hub and the second surgical hub based on one or more capabilities of the first hub and a location of one or more modules within the network of surgical hubs.
The network of surgical hubs of Example 13, wherein the control of the one or more interactions comprises a control of one or more task ownerships.
The network of surgical hubs of any one or more of Examples 13 through 14, wherein the one or more capabilities of the first hub comprise one or more of a computing capacity of the first hub, a type of the first hub, a type of data associated with the first hub, an interaction of the data needed to perform a specified surgical procedure by the first hub, or a computing requirement of the first hub.
The network of surgical hubs of Example 15, wherein a computing capacity comprises one or more of an available processing power, an available processor memory for data storage, an available amount of idle processing cycles, and an available communication bandwidth.
The network of surgical hubs of any one or more of Examples 15-16, wherein the location of the one or more modules comprises a location of the one or more modules most critical to an ongoing surgical procedure.
The network of surgical hubs of any one or more of Examples 15-17, wherein the first controller is further configured to allow the second controller to control the one or more interactions between the first surgical hub and the second surgical hub based on an anticipated surgical task. are of events occurring within a vicinity of the first surgical device according to data received from a database, a patient monitoring device, or a paired surgical device, or any combination of the database, the patient monitoring device, or the paired surgical device; and wirelessly pair with a second surgical device according to a usage of the first surgical device and the events of which the first surgical device is situationally aware.
Various additional aspects of the subject matter described herein are set out in the following numbered examples:
A surgical system comprising: a first surgical device comprising a control circuit, the control circuit configured to: be situationally aware of events occurring within a vicinity of the first surgical device according to data received from a database, a patient monitoring device, or a paired surgical device, or any combination of the database, the patient monitoring device, or the paired surgical device; and wirelessly pair with a second surgical device according to a usage of the first surgical device and the events of which the first surgical device is situationally aware.
The surgical system of Example 1, wherein events of which the first surgical device is situationally aware comprise a first user using the first surgical device and a second user using the second surgical device.
The surgical system of Example 2, wherein the events comprising the first user using the first surgical device comprise the first user grasping a handle of the first surgical device.
The surgical system of Example 3, wherein the events comprising the first user grasping a handle of the first surgical device comprise the first user grasping the handle of the first surgical device thereby allowing a transceiver in the handle of the first surgical device to communicate with an identifier worn by the first user and allowing, by the identifier, a communication between the first surgical device and a surgical hub.
The surgical system of any one or more of Examples 2-4, wherein events of which the first surgical device is situationally aware comprise a location of the first surgical device and a location of the second surgical device.
The surgical system of Example 5, wherein the control circuit is configured to determine the location of the second surgical device based on a wireless signal transmitted by the second surgical device to the first surgical device.
The surgical system of any one or more of Examples 1-6, wherein the control circuit is further configured to simultaneously activate the first surgical device and the second surgical device each for a predetermined period of time when no tissue or patient is sensed.
The surgical system of any one or more of Examples 1-7, wherein the first surgical device is located within a sterile field and the second surgical device is located outside the sterile field when the first surgical device wirelessly pairs with the second surgical device.
The surgical system of any one or more of Examples 1-8, wherein the control circuit is further configured to wireless pair with a communication device.
The surgical system of any one or more of Examples 1-9, wherein events of which the first surgical device is situationally aware comprise a determination of a distance between the first surgical device and a tissue structure within a patient.
A method comprising: being situationally aware, by a control circuit within a first surgical device, of events occurring within a vicinity of a first surgical device according to data received from a database, a patient monitoring device, or a paired surgical device, or any combination of the database, the patient monitoring device, or the paired surgical device; and wirelessly pairing, by the control circuit, with a second surgical device according to a usage of the first surgical device and the events of which the first surgical device is situationally aware.
The method of Example 11, wherein being situationally aware, by a control circuit within a first surgical device, comprise being situationally aware, by a control circuit within a first surgical device, of a first user using the first surgical device and a second user using the second surgical device.
The method of Example 12, wherein being situationally aware, by a control circuit within a first surgical device, of a first user using the first surgical device comprises being situationally aware, by a control circuit within a first surgical device, of a first user grasping a handle of the first surgical device.
The method of Example 13, further comprising allowing a transceiver in the handle of the first surgical device to communicate with an identifier worn by the first user and allowing, by the identifier, a communication between the first surgical device and a surgical hub.
The method of ay one or more of Examples 12-14, wherein being situationally aware, by a control circuit within a first surgical device, of a first user using the first surgical device and a second user using the second surgical device, comprises being situationally aware, by a control circuit within a first surgical device, of a location of the first surgical device and a location of the second surgical device.
The method of Example 15, further comprising determining, by the control circuit, the location of the second surgical device based on a wireless signal transmitted by the second surgical device to the first surgical device.
The method of any one or more of Examples 11-16, further comprising activating, by the control circuit, the first surgical device and the second surgical device each for a predetermined period of time when no tissue or patient is sensed.
The method of any one or more of Examples 11-17, wherein wirelessly pairing, by the control circuit, with a second surgical device according to a usage of the first surgical device comprises wirelessly pairing, by the control circuit, with a second surgical device outside of a sterile field when the first surgical device is located within the sterile field.
The method of any one or more of Examples 11-18, further comprising wirelessly pairing of the control circuit with a communication device.
The method of any one or more of Examples 11-19, further comprises determining, by the control circuit, a distance between the first surgical device and a tissue structure within a patient.
Various additional aspects of the subject matter described herein are set out in the following numbered examples:
A surgical stapling instrument comprising: an anvil configured to clamp a tissue; a circular stapling head assembly comprising a first row of staples and a second row of staples; a first staple driver configured to drive the first row of staples; a second staple driver configured to drive the second row of staples, wherein the first and second staple drivers are independently actuatable; a motor coupled to the anvil, the motor configured to move the anvil between a first position and a second position; and a control circuit coupled to the motor, the control circuit configured to: set a stroke length for the first and second staple drivers to a first length; detect a malformed staple in the first row of staples; and set the stroke length for the second staple driver to a second length.
The surgical stapling instrument of Example 1, wherein the control circuit is further configured to sense a parameter associated with clamping of the anvil.
The surgical stapling instrument of Example 2, wherein the parameter comprises a tissue gap, force during closure of the anvil, tissue creep stabilization, or force during firing, or any combination thereof.
The surgical stapling instrument of any one of Examples 1-3, wherein the control circuit is further configured to actuate the first staple driver to drive the first row of staples.
The surgical stapling instrument of any one of Examples 1-4, wherein the first and second staple drivers are independently actuatable.
A surgical stapling instrument comprising: an anvil configured to clamp a tissue; a circular stapling head assembly comprising a first row of staples and a second row of staples; a first staple driver configured to drive the first row of staples; a second staple driver configured to drive the second row of staples; a motor coupled to the anvil, the motor configured to move the anvil between a first position and a second position; and a control circuit coupled to the motor, the control circuit configured to: set a staple height of the first and second rows of staples to a first height; detect a malformed staple in the first row of staples; and set a staple height for the second row of staples to a second height.
The surgical stapling instrument of Example 6, wherein the control circuit is further configured to sense a parameter associated with clamping of the anvil.
The surgical stapling instrument of Example claim 7, wherein the parameter comprises a tissue gap, force during closure of the anvil, tissue creep stabilization, or force during firing, or any combination thereof.
The surgical stapling instrument of any one of Examples 6-8, wherein the control circuit is further configured to actuate the first staple driver to drive the first row of staples.
The surgical stapling instrument of any one of Examples 6-9, wherein the first and second staple drivers are independently actuatable.
The surgical stapling instrument of any one of Examples 6-10, wherein the control circuit is configured to adjust the staple height of the second row of staples based on a sensed tissue thickness during firing the first row of staples.
The surgical stapling instrument of any one of Examples 6-11, wherein the control circuit is configured to adjust the staple height of the second row of staples based on a sensed anvil force to close during firing the first row of staples.
The surgical stapling instrument of any one of Examples 6-12, wherein the control circuit is further configured to adjust the staple height within a range of selectable staple heights that is varied based on the tissue loading detected during retraction of the anvil.
The surgical stapling instrument of any one of Examples 6-13, wherein the control circuit is configured to adjust a nominal staple height as tissue compression is increased or as tissue gap is decreased.
The surgical stapling instrument of Example 14, wherein the control circuit is configured to display the nominal staple height within a window range.
The surgical stapling instrument of Example 15, wherein the control circuit is configured to adjust the window range of an acceptable staple height as compression is increased or tissue gap is decreased.
A surgical stapling instrument comprising: an anvil configured to clamp a tissue; a circular stapling head assembly comprising a first row of staples and a second row of staples; a first staple driver configured to drive the first row of staples; a second staple driver configured to drive the second row of staples; a motor coupled to the anvil, the motor configured to move the anvil between a first position and a second position; and a control circuit coupled to the motor, the control circuit configured to: set an anvil gap for the first row of staples to a first gap; detect a malformed staple in the first row of staples; and set an anvil gap for the second row of staples to a second gap.
The surgical stapling instrument of Example 17, wherein the control circuit is further configured to sense a parameter associated with clamping of the anvil.
The surgical stapling instrument of any one of Examples 17-18, wherein the parameter comprises a tissue gap, force during closure of the anvil, tissue creep stabilization, or force during firing, or any combination thereof.
The surgical stapling instrument of any one of Examples 17-19, wherein the control circuit is further configured to actuate the first staple driver to drive the first row of staples.
Various additional aspects of the subject matter described herein are set out in the following numbered examples:
A surgical stapling instrument comprising: an anvil configured to clamp a tissue; a stapler configured to drive surgical staples through tissue and form against the anvil; a position sensor coupled to the anvil configured to detect anvil gap; a sensor coupled to the anvil configured to detect tissue compression force; a motor coupled to the anvil, the motor configured to move the anvil from a first position and a second position; and a control circuit coupled to the motor and to the position sensor and the sensor, the control circuit configured to: determine the anvil gap; compare the anvil gap to a predetermined gap; determine the tissue compression force; compare the tissue compression force to a predetermined tissue compression force; execute an electronic lockout process to prevent operation of the stapler based on the comparison of the anvil gap to the predetermined gap and the comparison of the tissue compression force to a predetermined tissue compression force.
The surgical stapling instrument of Example 1, wherein the control circuit is configured to execute a compulsory electronic lockout process to prevent operation of the stapler when the anvil gap is greater than a predefined maximum anvil gap threshold.
The surgical stapling instrument of any one of Examples 1 or 2, wherein the control circuit is configured to execute a no limit electronic lockout process to prevent operation of the stapler when the tissue compression force is below an ideal tissue compression force threshold.
The surgical stapling instrument of any one of Examples 1-3, wherein the control circuit is configured to execute a discretionary electronic lockout process without limits to prevent operation of the stapler when the tissue compression force is between an ideal tissue compression force threshold and a maximum tissue compression force threshold.
The surgical stapling instrument of any one of Examples 1-4, wherein the control circuit is configured to execute a discretionary electronic lockout process with limits to prevent operation of the stapler when the tissue compression force is greater than a maximum tissue compression force threshold.
The surgical stapling instrument of Example 5, wherein the control circuit is configured to execute a predetermined wait period prior to enabling operation of the stapler.
A surgical stapling instrument comprising: an anvil configured to clamp a tissue; a stapler configured to drive surgical staples through tissue and form against the anvil; a first sensor to sense a first parameter of the surgical stapling instrument; a second sensor to sense a second parameter of the surgical stapling instrument; a motor coupled to the anvil, the motor configured to move the anvil from a first position and a second position; and a control circuit coupled to the motor and the first and second sensor, the control circuit configured to execute an electronic lockout process to prevent operation of the stapler based on the first and second sensed parameters.
The surgical stapling instrument of Example 7, wherein the control circuit is configured to execute a compulsory electronic lockout process to prevent operation of the stapler when the first sensed parameter is greater than a predefined maximum threshold value for the first parameter.
The surgical stapling instrument of any one of Examples 7 or 8, wherein the control circuit is configured to execute a no limit electronic lockout process to prevent operation of the stapler when the second sensed parameter is below an ideal threshold value for the second parameter.
The surgical stapling instrument of any one of Examples 7-9, wherein the control circuit is configured to execute a discretionary electronic lockout process without limits to prevent operation of the stapler when the second sensed parameter is between an ideal threshold value for the second parameter and a maximum threshold value for the second parameter.
The surgical stapling instrument of any one of Examples 7-10, wherein the control circuit is configured to execute a discretionary electronic lockout process with limits to prevent operation of the stapler when the second sensed parameter is greater than a maximum threshold value for the second parameter.
The surgical stapling instrument of Example 11, wherein the control circuit is configured to execute a predetermined wait period prior to enabling operation of the stapler.
A surgical stapling instrument comprising: an anvil configured to clamp a tissue; a circular stapler configured to drive surgical staples through tissue and form against the anvil; a first sensor to sense a condition of the surgical stapling instrument; a second sensor to sense a secondary measure of the surgical stapling instrument; a motor coupled to the anvil, the motor configured to move the anvil from a first position and a second position; and a control circuit coupled to the motor and the first and second sensor, the control circuit configured to execute an adjustable electronic lockout process to prevent actuation of the stapler based on the sensed condition and the secondary measure.
The surgical stapling instrument of Example 13, wherein the adjustable electronic lockout process disables operation of a mechanical lockout.
The surgical stapling instrument of any one of Examples 13 or 14, wherein the adjustable electronic lockout process disables operation of an electronic lockout.
The surgical stapling instrument of any one of Examples 13-15, wherein the sensed condition is anvil gap and the secondary measure is tissue compression force.
The surgical stapling instrument of Example 16, wherein when the anvil gap is between a minimum and maximum anvil gap thresholds and the tissue compression force is above a maximum tissue compression force threshold, the control circuit is configured to: increase the anvil gap; increase a predetermined wait period prior to actuating the circular stapler; reduce the speed at which the circular stapler is actuated; or execute the adjustable electronic lockout process to prevent actuation of the stapler.
The surgical stapling instrument of Example 16, wherein when the anvil gap is between a minimum and maximum anvil gap thresholds and the tissue compression force is below a minimum tissue compression force threshold, the control circuit is configured to: decrease the anvil gap; proceed with caution; or execute the adjustable electronic lockout process to prevent actuation of the stapler.
Various additional aspects of the subject matter described herein are set out in the following numbered examples:
A surgical stapling instrument comprising: an end effector configured to clamp a tissue; a cutting member; a motor coupled to the cutting member, the motor configured to move the cutting member between a first position and a second position; and a control circuit coupled to the motor, the control circuit configured to: sense a parameter associated with clamping of the end effector; and control the motor to adjust a torque applied to the cutting member by the motor.
The surgical stapling instrument of Example 1, wherein the cutting member is independently actuatable from the end effector.
The surgical stapling instrument of any one of Examples 1-2, wherein the parameter comprises a tissue gap, force during closure of the end effector, tissue creep stabilization, or force during firing, or any combination thereof.
The surgical stapling instrument of any one of Examples 1-3, wherein the control circuit is configured to control the motor to drive the cutting member in either a load control mode or a stroke control mode according to an adjustable control parameter.
The surgical stapling instrument of any one of Examples 1-4, wherein the control circuit is configured to control an advancement rate at which the motor drives the cutting member according to initial conditions as the motor begins driving the cutting member from the first position.
The surgical instrument of any one of Examples 1-5, wherein the control circuit is configured to control the motor to adjust a speed at which the motor drives the cutting member.
The surgical instrument of any one of Examples 1-6, wherein the control circuit is configured to control the motor to adjust a distance to which the motor drives the cutting member according to the parameter.
The surgical instrument of any one of Examples 1-7, wherein the control circuit is configured to control the motor to adjust any combination of the torque, the speed, or the distance.
A surgical stapling instrument comprising: an end effector configured to clamp a tissue; a cutting member; a motor coupled to the cutting member, the motor configured to move the cutting member between a first position and a second position; and a control circuit coupled to the motor, the control circuit configured to: sense a parameter associated with firing of the cutting member; and control the motor to adjust a torque applied to the cutting member by the motor.
The surgical stapling instrument of Example 9, wherein the cutting member is independently actuatable from the end effector.
The surgical stapling instrument of any one of Examples 9-10, wherein the parameter comprises a tissue gap, force during closure of the end effector, tissue creep stabilization, or force during firing, or any combination thereof.
The surgical stapling instrument of any one of Examples 9-11, wherein the control circuit is configured to control the motor to drive the cutting member in either a load control mode or a stroke control mode according to an adjustable control parameter.
The surgical stapling instrument of any one of Examples 9-12, wherein the control circuit is configured to control an advancement rate at which the motor drives the cutting member according to initial conditions as the motor begins driving the cutting member from the first position.
The surgical instrument of any one of Examples 9-13, wherein the control circuit is configured to control the motor to adjust a speed at which the motor drives the cutting member.
The surgical instrument of any one of Examples 9-14, wherein the control circuit is configured to control the motor to adjust a distance to which the motor drives the cutting member according to the parameter.
The surgical instrument of any one of Examples 9-15, wherein the control circuit is configured to control the motor to adjust any combination of the torque, the speed, or the distance.
A powered stapling device, comprising: a circular stapling head assembly; an anvil; a trocar coupled to the anvil and coupled to a motor, wherein the motor in configured to advance and retract the trocar; and a control circuit coupled to the motor, wherein the control circuit is configured to: determine a position of the trocar in one of a plurality of zones; and set an anvil closure rate based on the determined position of the trocar.
The powered stapling device of Example 17, wherein the plurality of zones comprises: a first zone during attachment of the trocar to the anvil; a second zone during retraction of the trocar and closure of the anvil; a third zone during verification of attachment of the trocar to the anvil; and a fourth zone during application of a high closure load.
The powered stapling device of any one of Examples 17-18, wherein the control circuit is configured to: set the closure rate of the anvil to a first velocity when the trocar is in the first zone to ensure proper attachment of the trocar to the anvil; set the closure rate of the anvil to a second velocity, which is greater than the first velocity, when the trocar is in the second position during the retraction of the trocar and the closure of the anvil; set the closure rate of the anvil to a third velocity, which is less than the second velocity, to verify attachment of the trocar to the anvil; set the closure rate of the anvil to a fourth velocity, which is less than the third velocity, when the trocar is the fourth zone during application of a high closure load.
The powered stapling device of any one of Examples 17-19, wherein the control circuit is configured to: determine the closure rate of the trocar; determine the closure rate of the anvil; compare the closure rate of the trocar to the closure rate of the anvil to determine a difference between the closure rate of the trocar to the closure rate of the anvil; and at a difference greater than a predetermined value, extend and retract the trocar to reset the anvil.
The powered stapling device of any one of Examples 17-20, wherein the control circuit is configured to verify attachment of the trocar to the anvil and to slow the closure rate of the trocar under tissue load.
The powered stapling device of any one of Examples 17-21, further comprising: a knife coupled to the motor; a sensor located on the anvil, wherein the sensor is configured to detect tissue contact and force applied to the anvil, wherein the sensor is coupled to the anvil, wherein the control circuit is configured to: monitor anvil displacement; monitor tissue contact with the anvil; monitor a force to close of the anvil; compare the force to close to a predetermined threshold; and set a first initial knife velocity and advance the knife at a first velocity profile suitable for cutting normal tissue toughness when the force to close is less than the predetermined threshold; or set a second initial knife velocity and advance the knife at a second velocity profile suitable for cutting heavy tissue toughness when the force to close is greater than or equal to the predetermined threshold.
The powered stapling device of any one of Examples 17-22, wherein to advance the knife at the second velocity profile, the control circuit is further configured to: set the second initial knife velocity to a velocity that is less than the first initial knife velocity; monitor knife contact with tissue; increase motor velocity to increase knife velocity when tissue contact is detected; monitor completion of cut; and stop the motor when completion of cut is detected.
Various additional aspects of the subject matter described herein are set out in the following numbered examples:
A surgical instrument comprises an end effector, an electrode, an ultrasonic transducer, a sensor coupled to a control circuit, and the control circuit coupled to the end effector. The end effector comprises: an ultrasonic blade configured to ultrasonically oscillate against tissue; and a clamp arm configured to pivot relative to the ultrasonic blade. The electrode is configured to receive electrosurgical energy from a generator and to apply the received electrosurgical energy to the end effector to weld tissue based on the generator generating a drive signal. The ultrasonic transducer is acoustically coupled to the ultrasonic blade. The ultrasonic transducer is configured to ultrasonically oscillate the ultrasonic blade in response to the drive signal. The sensor is configured to output a signal indicative of a surgical parameter to the control circuit. The control circuit is configured to: receive the sensor signal; determine a weld time of a surgical operation performed by the surgical instrument based on the sensor signal; and vary one or more of a clamp arm pressure applied by the clamp arm and a power level of the electrosurgical energy to maintain one or more of a predefined heat flux or power applied to tissue loaded in the end effector.
The surgical instrument of Example 1, wherein the surgical parameter is one or more of tissue impedance, a natural frequency of the ultrasonic blade, temperature, and a tissue parameter.
The surgical instrument of Examples 1 or 2, wherein the control circuit is further configured to vary one or more of the clamp arm pressure applied by the clamp arm and the power level of the electrosurgical energy based on a heat flux control threshold.
The surgical instrument of Example 3, wherein the control circuit is further configured to adjust the heat flux control threshold along a length of the ultrasonic blade based on one or more of a coagulation focus point and a progression of a surgical cut.
The surgical instrument of Examples 1, 2, 3, or 4, wherein the electrode comprises a plurality of electrodes positioned longitudinally to generate a constant current density.
The surgical instrument of Example 5, wherein the control circuit is further configured to energize the plurality of electrodes sequentially to generate a first current density in a proximal portion of the plurality of electrodes and a second current density in a distal portion of the plurality of electrodes, and wherein the first and second current density are equal.
The surgical instrument of Example 5, further comprising the generator configured to deliver the electrosurgical energy to the end effector, wherein the control circuit is further configured to control the generator to energize the plurality of electrodes by providing a first power level to a first portion of the plurality of electrodes and a second power level to a second portion of the plurality of electrodes, and wherein the first power level is lower than the second power level.
The surgical instrument of any one of Examples 1-7 wherein the clamp arm is an offset clamp arm and control circuit is further configured to increase the clamp arm pressure based on the sensor signal.
A surgical system comprising a surgical hub configured to receive an impedance rate algorithm transmitted from a cloud computing system and a surgical instrument communicatively coupled to the surgical hub. The surgical hub is communicatively coupled to the cloud computing system. The surgical instrument comprises an end effector, electrode, ultrasonic transducer, and a control circuit. The end effector comprises an ultrasonic blade configured to ultrasonically oscillate against tissue; and a clamp arm configured to pivot relative to the ultrasonic blade. The electrode is configured to receive electrosurgical energy from a generator and apply the received electrosurgical energy to the end effector to weld tissue based on the generator generating a drive signal. The ultrasonic transducer is acoustically coupled to the ultrasonic blade. The ultrasonic transducer is configured to ultrasonically oscillate the ultrasonic blade in response to the drive signal. The control circuit is coupled to the end effector. The control circuit is configured to perform the impedance rate algorithm to: receive a first tissue impedance point; determine a first power level of the electrosurgical energy that corresponds to the first tissue impedance point; control the generator to deliver the electrosurgical energy at the first power level; determine a second tissue impedance point; adjust the first power level to a second power level of the electrosurgical energy based on a time interval to reach the second tissue impedance point; and control the generator to deliver the electrosurgical energy at the second power level.
The surgical system of Example 9, wherein the control circuit is configured to perform the impedance rate algorithm to further determine a third tissue impedance point; and determine the second tissue impedance point based on the third tissue impedance point and a corresponding time interval to reach the first tissue impedance point.
The surgical system of Example 10, wherein the control circuit is configured to perform the impedance rate algorithm to further determine the third tissue impedance point and a third power level of the electrosurgical energy corresponding to the third tissue impedance point upon controlling the generator to deliver the electrosurgical energy at the second power level to reach the second tissue impedance point.
The surgical system of Example 11, wherein the control circuit is configured to perform the impedance rate algorithm to further adjust the third tissue impedance point based on an overall tissue impedance level and the time interval to reach the second tissue impedance point.
The surgical system of Example 10, wherein the control circuit is configured to perform the impedance rate algorithm to further determine a dwell time and control the generator to deliver the electrosurgical energy at the first power level for the dwell time prior to adjusting the first power level to the second power level of the electrosurgical energy and determining the third tissue impedance point.
The surgical system of any one of Examples 9-13 wherein the electrode comprises a plurality of electrode segments positioned longitudinally to generate a constant current density.
The surgical system of Example 14, wherein the control circuit is configured to perform the impedance rate algorithm to further energize the plurality of electrode segments based on a progressive closure stroke of the clamp arm.
A method of using a surgical instrument to deliver electrosurgical energy according to a target impedance rise rate, wherein the surgical instrument comprises an end effector, a generator, an electrode configured to deliver the electrosurgical energy to the end effector, an ultrasonic transducer acoustically coupled to the ultrasonic blade, and a control circuit coupled to the end effector. The generator is configured to deliver electrosurgical energy to the end effector based on generating a drive signal. The ultrasonic transducer is configured to ultrasonically oscillate the ultrasonic blade in response to the drive signal. The end effector comprises an ultrasonic blade configured to ultrasonically oscillate against tissue; and a clamp arm configured to pivot relative to the ultrasonic blade. The method comprises: controlling, by the control circuit, the generator to apply power according to a tissue impedance algorithm comprising the steps of: applying, by the generator, a first power level to reach a first tissue impedance point; terminating, by the generator, application of the first power level for a first dwell time; determining, by the control circuit, a second tissue impedance point; applying, by the generator, a second power level to reach the second tissue impedance point; terminating, by the generator, application of the second power level for a second dwell time; determining, by the control circuit, a third tissue impedance point; and applying, by the generator, a third power level to reach the third tissue impedance point to achieve the target impedance rise rate.
The method of Example 16, further comprising: terminating, by the generator, application of the third power level for a third dwell time; determining, by the control circuit, a fourth tissue impedance point; and applying, by the generator, a fourth power level to reach the fourth tissue impedance point.
The method of Example 17, wherein the third and fourth tissue impedance point are determined based on one or more of first and second tissue impedance point and a time to achieve each of the first and second tissue impedance point.
The method of any one of Examples 16-18, wherein a time to achieve the first, second, and third tissue impedance point corresponds to a predetermined coagulation time interval.
The method of any one of Examples 16-19, wherein the electrode comprises a plurality of electrode segments positioned longitudinally to generate a constant current density.
Various additional aspects of the subject matter described herein are set out in the following numbered examples:
A surgical instrument comprises an end effector, an ultrasonic transducer, a control circuit, and the control circuit coupled to the end effector. The end effector comprises: an ultrasonic blade configured to ultrasonically oscillate against tissue; and a clamp arm configured to pivot relative to the ultrasonic blade. The ultrasonic transducer is acoustically coupled to the ultrasonic blade. The ultrasonic transducer is configured to ultrasonically oscillate the ultrasonic blade in response to a drive signal from a generator. The end effector is configured to receive electrosurgical energy from the generator to treat tissue based on the drive signal. The control circuit is configured to: determine one or more of a resonant frequency measure indicative of a thermally induced change in resonant frequency and an electrical continuity measure; calculate a weld focal point based on one or more of the resonant frequency measure and electrical continuity measure; control closure of the clamp arm to vary a pressure applied by the clamp arm to provide a threshold control pressure to the tissue loaded into the end effector, wherein the pressure is varied based on a corresponding weld focal point; and maintain a gap between the ultrasonic blade and clamp arm at a point proximal to a proximal end of the tissue.
The surgical instrument of Example 1, wherein the control circuit is further configured to determine an initial pressure applied by the clamp arm based on a size of the tissue initially loaded into the end effector.
The surgical instrument of Examples 1 or 2, wherein the control circuit is further configured to vary the pressure applied by the clamp arm based on a shift in the weld focal point along the ultrasonic blade.
The surgical instrument of Example 3, wherein the control circuit is further configured to vary the pressure applied by the clamp arm based on an extent of the tissue loaded into the end effector.
The surgical instrument of any one of Examples 1-4, wherein the control circuit is further configured to control closure of the clamp arm by pivoting the clamp arm to create an initial contact point of the ultrasonic blade and clamp arm at a distal end of the end effector.
The surgical instrument of any one of Examples 1-5, further comprising the generator configured to deliver electrosurgical energy to the end effector to treat tissue based on generating the drive signal.
The surgical instrument of any one of Examples 1-6, further comprising a radio frequency (RF) electrode configured to deliver RF energy to the tissue, wherein the control circuit is further configured to adjust one or more of a power level of the RF energy and a power level of the electrosurgical energy based on tissue impedance.
A method of using a surgical instrument to provide a threshold control pressure, wherein the surgical instrument comprises: an end effector comprising: a ultrasonic blade configured to ultrasonically oscillate against tissue; and a clamp arm configured to pivot relative to the ultrasonic blade; an ultrasonic transducer acoustically coupled to the ultrasonic blade, the ultrasonic transducer configured to ultrasonically oscillate the ultrasonic blade in response to the drive signal; and a control circuit coupled to the end effector, wherein the end effector is configured to receive electrosurgical energy from a generator to weld tissue based on a generated drive signal and wherein the method comprises: determining, by the control circuit, one or more of a resonant frequency measure indicative of a thermally induced change in resonant frequency and a electrical continuity measure; calculating, by the control circuit, a weld focal point based on one or more of the resonant frequency measure and electrical continuity measure; controlling, by the control circuit, closure of the clamp arm to vary a pressure applied by the clamp arm to provide the threshold control pressure to the tissue loaded into the end effector, wherein the pressure is varied based on a corresponding weld focal point; and maintaining, by the control circuit, a gap between the ultrasonic blade and clamp arm at a point proximal to a proximal end of the tissue.
The method of Example 8, further comprising determining, by the control circuit, an initial pressure applied by the clamp arm based on a size of the tissue initially loaded into the end effector.
The method of Examples 8 or 9, further comprising varying, by the control circuit, the pressure applied by the clamp arm based on a shift in the weld focal point along the ultrasonic blade.
The method of Example 10, further comprising varying, by the control circuit, the pressure applied by the clamp arm based on an extent of the tissue loaded into the end effector.
The method of any one of Examples 8-11 further comprising controlling, by the control circuit, closure of the clamp arm by pivoting the clamp arm to create an initial contact point of the ultrasonic blade and clamp arm at a distal end of the end effector.
The method of any one of Examples 8-12, further comprising loading the tissue into the end effector from the distal end to a proximal end of the end effector.
The method of any one of Examples 8-13, further comprising adjusting, by the control circuit, one or more of a power level of RF energy and a power level of the electrosurgical energy based on tissue impedance, wherein the surgical instrument further comprises a radio frequency (RF) electrode configured to deliver RF energy to the tissue.
A surgical system comprising: a surgical hub configured to receive a clamp pressure algorithm transmitted from a cloud computing system, wherein the surgical hub is communicatively coupled to the cloud computing system; and a surgical instrument communicatively coupled to the surgical hub, wherein the surgical instrument comprises: an end effector comprising: an offset ultrasonic blade configured to ultrasonically oscillate against tissue; and an offset clamp arm configured to pivot relative to the ultrasonic blade; and an ultrasonic transducer acoustically coupled to the ultrasonic blade, the ultrasonic transducer configured to ultrasonically oscillate the ultrasonic blade in response to a drive signal from a generator, wherein the end effector is configured to receive electrosurgical energy from the generator to weld tissue based on the drive signal; and a control circuit configured to perform the clamp pressure algorithm to: determine one or more of a resonant frequency measure indicative of a thermally induced change in resonant frequency and a electrical continuity measure; calculate an extent of tissue loaded into the end effector based on one or more of the resonant frequency measure and electrical continuity measure; and vary pressure applied by the clamp arm according to a closure pressure profile comprising a first pressure in a proximal half of the end effector that is greater than a second pressure in a distal half of the end effector and to maintain a gap between the ultrasonic blade and clamp arm at a point proximal to a proximal end of the tissue loaded into the end effector when the end effector is fully closed.
The surgical system of Example 15, wherein the control circuit is further configured to close the end effector at a distal end of the end effector prior to closing non-distal end portions of the end effector.
The surgical system of Examples 15 or 16, further comprising: terminating, by the generator, application of the third power level for a third dwell time; determining, by the control circuit, a fourth tissue impedance point; and applying, by the generator, a fourth power level to reach the fourth tissue impedance point.
The surgical system of Example 17, wherein the first and second deflection are shaped according to the closure pressure profile to provide the first pressure.
The surgical system of any one of Examples 15-18, wherein the control circuit is further configured to determine a closure position of the clamp arm.
The method of Example 19, wherein the control circuit is further configured to reduce the ultrasonic oscillation of the ultrasonic blade when the end effector is not in fully closed.
While several forms have been illustrated and described, it is not the intention of Applicant to restrict or limit the scope of the appended claims to such detail. Numerous modifications, variations, changes, substitutions, combinations, and equivalents to those forms may be implemented and will occur to those skilled in the art without departing from the scope of the present disclosure. Moreover, the structure of each element associated with the described forms can be alternatively described as a means for providing the function performed by the element. Also, where materials are disclosed for certain components, other materials may be used. It is therefore to be understood that the foregoing description and the appended claims are intended to cover all such modifications, combinations, and variations as falling within the scope of the disclosed forms. The appended claims are intended to cover all such modifications, variations, changes, substitutions, modifications, and equivalents.
The foregoing detailed description has set forth various forms of the devices and/or processes via the use of block diagrams, flowcharts, and/or examples. Insofar as such block diagrams, flowcharts, and/or examples contain one or more functions and/or operations, it will be understood by those within the art that each function and/or operation within such block diagrams, flowcharts, and/or examples can be implemented, individually and/or collectively, by a wide range of hardware, software, firmware, or virtually any combination thereof. Those skilled in the art will recognize that some aspects of the forms disclosed herein, in whole or in part, can be equivalently implemented in integrated circuits, as one or more computer programs running on one or more computers (e.g., as one or more programs running on one or more computer systems), as one or more programs running on one or more processors (e.g., as one or more programs running on one or more microprocessors), as firmware, or as virtually any combination thereof, and that designing the circuitry and/or writing the code for the software and or firmware would be well within the skill of one of skill in the art in light of this disclosure. In addition, those skilled in the art will appreciate that the mechanisms of the subject matter described herein are capable of being distributed as one or more program products in a variety of forms, and that an illustrative form of the subject matter described herein applies regardless of the particular type of signal bearing medium used to actually carry out the distribution.
Instructions used to program logic to perform various disclosed aspects can be stored within a memory in the system, such as dynamic random access memory (DRAM), cache, flash memory, or other storage. Furthermore, the instructions can be distributed via a network or by way of other computer readable media. Thus a machine-readable medium may include any mechanism for storing or transmitting information in a form readable by a machine (e.g., a computer), but is not limited to, floppy diskettes, optical disks, compact disc, read-only memory (CD-ROMs), and magneto-optical disks, read-only memory (ROMs), random access memory (RAM), erasable programmable read-only memory (EPROM), electrically erasable programmable read-only memory (EEPROM), magnetic or optical cards, flash memory, or a tangible, machine-readable storage used in the transmission of information over the Internet via electrical, optical, acoustical or other forms of propagated signals (e g, carrier waves, infrared signals, digital signals, etc.). Accordingly, the non-transitory computer-readable medium includes any type of tangible machine-readable medium suitable for storing or transmitting electronic instructions or information in a form readable by a machine (e.g., a computer).
As used in any aspect herein, the term “control circuit” may refer to, for example, hardwired circuitry, programmable circuitry (e.g., a computer processor including one or more individual instruction processing cores, processing unit, processor, microcontroller, microcontroller unit, controller, digital signal processor (DSP), programmable logic device (PLD), programmable logic array (PLA), or field programmable gate array (FPGA)), state machine circuitry, firmware that stores instructions executed by programmable circuitry, and any combination thereof. The control circuit may, collectively or individually, be embodied as circuitry that forms part of a larger system, for example, an integrated circuit (IC), an application-specific integrated circuit (ASIC), a system on-chip (SoC), desktop computers, laptop computers, tablet computers, servers, smart phones, etc. Accordingly, as used herein “control circuit” includes, but is not limited to, electrical circuitry having at least one discrete electrical circuit, electrical circuitry having at least one integrated circuit, electrical circuitry having at least one application specific integrated circuit, electrical circuitry forming a general purpose computing device configured by a computer program (e.g., a general purpose computer configured by a computer program which at least partially carries out processes and/or devices described herein, or a microprocessor configured by a computer program which at least partially carries out processes and/or devices described herein), electrical circuitry forming a memory device (e.g., forms of random access memory), and/or electrical circuitry forming a communications device (e.g., a modem, communications switch, or optical-electrical equipment). Those having skill in the art will recognize that the subject matter described herein may be implemented in an analog or digital fashion or some combination thereof.
As used in any aspect herein, the term “logic” may refer to an app, software, firmware and/or circuitry configured to perform any of the aforementioned operations. Software may be embodied as a software package, code, instructions, instruction sets and/or data recorded on non-transitory computer readable storage medium. Firmware may be embodied as code, instructions or instruction sets and/or data that are hard-coded (e.g., nonvolatile) in memory devices.
As used in any aspect herein, the terms “component,” “system,” “module” and the like can refer to a computer-related entity, either hardware, a combination of hardware and software, software, or software in execution.
As used in any aspect herein, an “algorithm” refers to a self-consistent sequence of steps leading to a desired result, where a “step” refers to a manipulation of physical quantities and/or logic states which may, though need not necessarily, take the form of electrical or magnetic signals capable of being stored, transferred, combined, compared, and otherwise manipulated. It is common usage to refer to these signals as bits, values, elements, symbols, characters, terms, numbers, or the like. These and similar terms may be associated with the appropriate physical quantities and are merely convenient labels applied to these quantities and/or states.
A network may include a packet switched network. The communication devices may be capable of communicating with each other using a selected packet switched network communications protocol. One example communications protocol may include an Ethernet communications protocol which may be capable permitting communication using a Transmission Control Protocol/Internet Protocol (TCP/IP). The Ethernet protocol may comply or be compatible with the Ethernet standard published by the Institute of Electrical and Electronics Engineers (IEEE) titled “IEEE 802.3 Standard”, published in December, 2008 and/or later versions of this standard. Alternatively or additionally, the communication devices may be capable of communicating with each other using an X.25 communications protocol. The X.25 communications protocol may comply or be compatible with a standard promulgated by the International Telecommunication Union-Telecommunication Standardization Sector (ITU-T). Alternatively or additionally, the communication devices may be capable of communicating with each other using a frame relay communications protocol. The frame relay communications protocol may comply or be compatible with a standard promulgated by Consultative Committee for International Telegraph and Telephone (CCITT) and/or the American National Standards Institute (ANSI). Alternatively or additionally, the transceivers may be capable of communicating with each other using an Asynchronous Transfer Mode (ATM) communications protocol. The ATM communications protocol may comply or be compatible with an ATM standard published by the ATM Forum titled “ATM-MPLS Network Interworking 2.0” published August 2001, and/or later versions of this standard. Of course, different and/or after-developed connection-oriented network communication protocols are equally contemplated herein.
Unless specifically stated otherwise as apparent from the foregoing disclosure, it is appreciated that, throughout the foregoing disclosure, discussions using terms such as “processing,” “computing,” “calculating,” “determining,” “displaying,” or the like, refer to the action and processes of a computer system, or similar electronic computing device, that manipulates and transforms data represented as physical (electronic) quantities within the computer system's registers and memories into other data similarly represented as physical quantities within the computer system memories or registers or other such information storage, transmission or display devices.
One or more components may be referred to herein as “configured to,” “configurable to,” “operable/operative to,” “adapted/adaptable,” “able to,” “conformable/conformed to,” etc. Those skilled in the art will recognize that “configured to” can generally encompass active-state components and/or inactive-state components and/or standby-state components, unless context requires otherwise.
The terms “proximal” and “distal” are used herein with reference to a clinician manipulating the handle portion of the surgical instrument. The term “proximal” refers to the portion closest to the clinician and the term “distal” refers to the portion located away from the clinician. It will be further appreciated that, for convenience and clarity, spatial terms such as “vertical”, “horizontal”, “up”, and “down” may be used herein with respect to the drawings. However, surgical instruments are used in many orientations and positions, and these terms are not intended to be limiting and/or absolute.
Those skilled in the art will recognize that, in general, terms used herein, and especially in the appended claims (e.g., bodies of the appended claims) are generally intended as “open” terms (e.g., the term “including” should be interpreted as “including but not limited to,” the term “having” should be interpreted as “having at least,” the term “includes” should be interpreted as “includes but is not limited to,” etc.). It will be further understood by those within the art that if a specific number of an introduced claim recitation is intended, such an intent will be explicitly recited in the claim, and in the absence of such recitation no such intent is present. For example, as an aid to understanding, the following appended claims may contain usage of the introductory phrases “at least one” and “one or more” to introduce claim recitations. However, the use of such phrases should not be construed to imply that the introduction of a claim recitation by the indefinite articles “a” or “an” limits any particular claim containing such introduced claim recitation to claims containing only one such recitation, even when the same claim includes the introductory phrases “one or more” or “at least one” and indefinite articles such as “a” or “an” (e.g., “a” and/or “an” should typically be interpreted to mean “at least one” or “one or more”); the same holds true for the use of definite articles used to introduce claim recitations.
In addition, even if a specific number of an introduced claim recitation is explicitly recited, those skilled in the art will recognize that such recitation should typically be interpreted to mean at least the recited number (e.g., the bare recitation of “two recitations,” without other modifiers, typically means at least two recitations, or two or more recitations). Furthermore, in those instances where a convention analogous to “at least one of A, B, and C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, and C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). In those instances where a convention analogous to “at least one of A, B, or C, etc.” is used, in general such a construction is intended in the sense one having skill in the art would understand the convention (e.g., “a system having at least one of A, B, or C” would include but not be limited to systems that have A alone, B alone, C alone, A and B together, A and C together, B and C together, and/or A, B, and C together, etc.). It will be further understood by those within the art that typically a disjunctive word and/or phrase presenting two or more alternative terms, whether in the description, claims, or drawings, should be understood to contemplate the possibilities of including one of the terms, either of the terms, or both terms unless context dictates otherwise. For example, the phrase “A or B” will be typically understood to include the possibilities of “A” or “B” or “A and B.”
With respect to the appended claims, those skilled in the art will appreciate that recited operations therein may generally be performed in any order. Also, although various operational flow diagrams are presented in a sequence(s), it should be understood that the various operations may be performed in other orders than those which are illustrated, or may be performed concurrently. Examples of such alternate orderings may include overlapping, interleaved, interrupted, reordered, incremental, preparatory, supplemental, simultaneous, reverse, or other variant orderings, unless context dictates otherwise. Furthermore, terms like “responsive to,” “related to,” or other past-tense adjectives are generally not intended to exclude such variants, unless context dictates otherwise.
It is worthy to note that any reference to “one aspect,” “an aspect,” “an exemplification,” “one exemplification,” and the like means that a particular feature, structure, or characteristic described in connection with the aspect is included in at least one aspect. Thus, appearances of the phrases “in one aspect,” “in an aspect,” “in an exemplification,” and “in one exemplification” in various places throughout the specification are not necessarily all referring to the same aspect. Furthermore, the particular features, structures or characteristics may be combined in any suitable manner in one or more aspects.
Any patent application, patent, non-patent publication, or other disclosure material referred to in this specification and/or listed in any Application Data Sheet is incorporated by reference herein, to the extent that the incorporated materials is not inconsistent herewith. As such, and to the extent necessary, the disclosure as explicitly set forth herein supersedes any conflicting material incorporated herein by reference. Any material, or portion thereof, that is said to be incorporated by reference herein, but which conflicts with existing definitions, statements, or other disclosure material set forth herein will only be incorporated to the extent that no conflict arises between that incorporated material and the existing disclosure material.
In summary, numerous benefits have been described which result from employing the concepts described herein. The foregoing description of the one or more forms has been presented for purposes of illustration and description. It is not intended to be exhaustive or limiting to the precise form disclosed. Modifications or variations are possible in light of the above teachings. The one or more forms were chosen and described in order to illustrate principles and practical application to thereby enable one of ordinary skill in the art to utilize the various forms and with various modifications as are suited to the particular use contemplated. It is intended that the claims submitted herewith define the overall scope.
The present application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/773,778, titled METHOD FOR ADAPTIVE CONTROL SCHEMES FOR SURGICAL NETWORK CONTROL AND INTERACTION, filed Nov. 30, 2018, to U.S. Provisional Patent Application No. 62/773,728, titled METHOD FOR SITUATIONAL AWARENESS FOR SURGICAL NETWORK OR SURGICAL NETWORK CONNECTED DEVICE CAPABLE OF ADJUSTING FUNCTION BASED ON A SENSED SITUATION OR USAGE, filed Nov. 30, 2018, to U.S. Provisional Patent Application No. 62/773,741, titled METHOD FOR FACILITY DATA COLLECTION AND INTERPRETATION, filed Nov. 30, 2018, and to U.S. Provisional Patent Application No. 62/773,742, titled METHOD FOR CIRCULAR STAPLER CONTROL ALGORITHM ADJUSTMENT BASED ON SITUATIONAL AWARENESS, filed Nov. 30, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. The present application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/750,529, titled METHOD FOR OPERATING A POWERED ARTICULATING MULTI-CLIP APPLIER, filed Oct. 25, 2018, to U.S. Provisional Patent Application No. 62/750,539, titled SURGICAL CLIP APPLIER, filed Oct. 25, 2018, and to U.S. Provisional Patent Application No. 62/750,555, titled SURGICAL CLIP APPLIER, filed Oct. 25, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. The present application also claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/729,183, titled CONTROL FOR A SURGICAL NETWORK OR SURGICAL NETWORK CONNECTED DEVICE THAT ADJUSTS ITS FUNCTION BASED ON A SENSED SITUATION OR USAGE, filed Sep. 10, 2018, to U.S. Provisional Patent Application No. 62/729,177, titled AUTOMATED DATA SCALING, ALIGNMENT, AND ORGANIZING BASED ON PREDEFINED PARAMETERS WITHIN A SURGICAL NETWORK BEFORE TRANSMISSION, filed Sep. 10, 2018, to U.S. Provisional Patent Application No. 62/729,176, titled INDIRECT COMMAND AND CONTROL OF A FIRST OPERATING ROOM SYSTEM THROUGH THE USE OF A SECOND OPERATING ROOM SYSTEM WITHIN A STERILE FIELD WHERE THE SECOND OPERATING ROOM SYSTEM HAS PRIMARY AND SECONDARY OPERATING MODES, filed Sep. 10, 2018, to U.S. Provisional Patent Application No. 62/729,185, titled POWERED STAPLING DEVICE THAT IS CAPABLE OF ADJUSTING FORCE, ADVANCEMENT SPEED, AND OVERALL STROKE OF CUTTING MEMBER OF THE DEVICE BASED ON SENSED PARAMETER OF FIRING OR CLAMPING, filed Sep. 10, 2018, to U.S. Provisional Patent Application No. 62/729,184, titled POWERED SURGICAL TOOL WITH A PREDEFINED ADJUSTABLE CONTROL ALGORITHM FOR CONTROLLING AT LEAST ONE END EFFECTOR PARAMETER AND A MEANS FOR LIMITING THE ADJUSTMENT, filed Sep. 10, 2018, to U.S. Provisional Patent Application No. 62/729,182, titled SENSING THE PATIENT POSITION AND CONTACT UTILIZING THE MONO-POLAR RETURN PAD ELECTRODE TO PROVIDE SITUATIONAL AWARENESS TO THE HUB, filed Sep. 10, 2018, to U.S. Provisional Patent Application No. 62/729,191, titled SURGICAL NETWORK RECOMMENDATIONS FROM REAL TIME ANALYSIS OF PROCEDURE VARIABLES AGAINST A BASELINE HIGHLIGHTING DIFFERENCES FROM THE OPTIMAL SOLUTION, filed Sep. 10, 2018, to U.S. Provisional Patent Application No. 62/729,195, titled ULTRASONIC ENERGY DEVICE WHICH VARIES PRESSURE APPLIED BY CLAMP ARM TO PROVIDE THRESHOLD CONTROL PRESSURE AT A CUT PROGRESSION LOCATION, filed Sep. 10, 2018, and to U.S. Provisional Patent Application No. 62/729,186, titled WIRELESS PAIRING OF A SURGICAL DEVICE WITH ANOTHER DEVICE WITHIN A STERILE SURGICAL FIELD BASED ON THE USAGE AND SITUATIONAL AWARENESS OF DEVICES, filed Sep. 10, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. The present application also claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/721,995, titled CONTROLLING AN ULTRASONIC SURGICAL INSTRUMENT ACCORDING TO TISSUE LOCATION, filed Aug. 23, 2018, to U.S. Provisional Patent Application No. 62/721,998, titled SITUATIONAL AWARENESS OF ELECTROSURGICAL SYSTEMS, filed Aug. 23, 2018, to U.S. Provisional Patent Application No. 62/721,999, titled INTERRUPTION OF ENERGY DUE TO INADVERTENT CAPACITIVE COUPLING, filed Aug. 23, 2018, to U.S. Provisional Patent Application No. 62/721,994, titled BIPOLAR COMBINATION DEVICE THAT AUTOMATICALLY ADJUSTS PRESSURE BASED ON ENERGY MODALITY, filed Aug. 23, 2018, and to U.S. Provisional Patent Application No. 62/721,996, titled RADIO FREQUENCY ENERGY DEVICE FOR DELIVERING COMBINED ELECTRICAL SIGNALS, filed Aug. 23, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. The present application also claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/692,747, titled SMART ACTIVATION OF AN ENERGY DEVICE BY ANOTHER DEVICE, filed on Jun. 30, 2018, to U.S. Provisional Patent Application No. 62/692,748, titled SMART ENERGY ARCHITECTURE, filed on Jun. 30, 2018, and to U.S. Provisional Patent Application No. 62/692,768, titled SMART ENERGY DEVICES, filed on Jun. 30, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. The present application also claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/691,228, titled METHOD OF USING REINFORCED FLEX CIRCUITS WITH MULTIPLE SENSORS WITH ELECTROSURGICAL DEVICES, filed Jun. 28, 2018, to U.S. Provisional Patent Application No. 62/691,227, titled CONTROLLING A SURGICAL INSTRUMENT ACCORDING TO SENSED CLOSURE PARAMETERS, filed Jun. 28, 2018, to U.S. Provisional Patent Application No. 62/691,230, titled SURGICAL INSTRUMENT HAVING A FLEXIBLE ELECTRODE, filed Jun. 28, 2018, to U.S. Provisional Patent Application No. 62/691,219, titled SURGICAL EVACUATION SENSING AND MOTOR CONTROL, filed Jun. 28, 2018, to U.S. Provisional Patent Application No. 62/691,257, titled COMMUNICATION OF SMOKE EVACUATION SYSTEM PARAMETERS TO HUB OR CLOUD IN SMOKE EVACUATION MODULE FOR INTERACTIVE SURGICAL PLATFORM, filed Jun. 28, 2018, to U.S. Provisional Patent Application No. 62/691,262, titled SURGICAL EVACUATION SYSTEM WITH A COMMUNICATION CIRCUIT FOR COMMUNICATION BETWEEN A FILTER AND A SMOKE EVACUATION DEVICE, filed Jun. 28, 2018, and to U.S. Provisional Patent Application No. 62/691,251, titled DUAL IN-SERIES LARGE AND SMALL DROPLET FILTERS, filed Jun. 28, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. The present application claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/665,129, titled SURGICAL SUTURING SYSTEMS, filed May 1, 2018, to U.S. Provisional Patent Application No. 62/665,139, titled SURGICAL INSTRUMENTS COMPRISING CONTROL SYSTEMS, filed May 1, 2018, to U.S. Provisional Patent Application No. 62/665,177, titled SURGICAL INSTRUMENTS COMPRISING HANDLE ARRANGEMENTS, filed May 1, 2018, to U.S. Provisional Patent Application No. 62/665,128, titled MODULAR SURGICAL INSTRUMENTS, filed May 1, 2018, to U.S. Provisional Patent Application No. 62/665,192, titled SURGICAL DISSECTORS, filed May 1, 2018, and to U.S. Provisional Patent Application No. 62/665,134, titled SURGICAL CLIP APPLIER, filed May 1, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. The present application also claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/659,900, titled METHOD OF HUB COMMUNICATION, filed on Apr. 19, 2018, the disclosure of which is herein incorporated by reference in its entirety. The present application also claims priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/650,898, filed on Mar. 30, 2018, titled CAPACITIVE COUPLED RETURN PATH PAD WITH SEPARABLE ARRAY ELEMENTS, to U.S. Provisional Patent Application No. 62/650,887, titled SURGICAL SYSTEMS WITH OPTIMIZED SENSING CAPABILITIES, filed Mar. 30, 2018, to U.S. Provisional Patent Application No. 62/650,882, titled SMOKE EVACUATION MODULE FOR INTERACTIVE SURGICAL PLATFORM, filed Mar. 30, 2018, and to U.S. Provisional Patent Application No. 62/650,877, titled SURGICAL SMOKE EVACUATION SENSING AND CONTROLS, filed Mar. 30, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. This application also claims the benefit of priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/649,302, titled INTERACTIVE SURGICAL SYSTEMS WITH ENCRYPTED COMMUNICATION CAPABILITIES, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,294, titled DATA STRIPPING METHOD TO INTERROGATE PATIENT RECORDS AND CREATE ANONYMIZED RECORD, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,300, titled SURGICAL HUB SITUATIONAL AWARENESS, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,309, titled SURGICAL HUB SPATIAL AWARENESS TO DETERMINE DEVICES IN OPERATING THEATER, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,310, titled COMPUTER IMPLEMENTED INTERACTIVE SURGICAL SYSTEMS, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,291, titled USE OF LASER LIGHT AND RED-GREEN-BLUE COLORATION TO DETERMINE PROPERTIES OF BACK SCATTERED LIGHT, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,296, titled ADAPTIVE CONTROL PROGRAM UPDATES FOR SURGICAL DEVICES, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,333, titled CLOUD-BASED MEDICAL ANALYTICS FOR CUSTOMIZATION AND RECOMMENDATIONS TO A USER, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,327, titled CLOUD-BASED MEDICAL ANALYTICS FOR SECURITY AND AUTHENTICATION TRENDS AND REACTIVE MEASURES, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,315, titled DATA HANDLING AND PRIORITIZATION IN A CLOUD ANALYTICS NETWORK, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,313, titled CLOUD INTERFACE FOR COUPLED SURGICAL DEVICES, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,320, titled DRIVE ARRANGEMENTS FOR ROBOT-ASSISTED SURGICAL PLATFORMS, filed Mar. 28, 2018, to U.S. Provisional Patent Application No. 62/649,307, titled AUTOMATIC TOOL ADJUSTMENTS FOR ROBOT-ASSISTED SURGICAL PLATFORMS, filed Mar. 28, 2018, and to U.S. Provisional Patent Application No. 62/649,323, titled SENSING ARRANGEMENTS FOR ROBOT-ASSISTED SURGICAL PLATFORMS, filed Mar. 28, 2018, the disclosure of each of which is herein incorporated by reference in its entirety. This application also claims the benefit of priority under 35 U.S.C. § 119(e) to U.S. Provisional Patent Application No. 62/611,341, titled INTERACTIVE SURGICAL PLATFORM, filed Dec. 28, 2017, to U.S. Provisional Patent Application No. 62/611,340, titled CLOUD-BASED MEDICAL ANALYTICS, filed Dec. 28, 2017, and to U.S. Provisional Patent Application No. 62/611,339, titled ROBOT ASSISTED SURGICAL PLATFORM, filed Dec. 28, 2017, the disclosure of each of which is herein incorporated by reference in its entirety.
Number | Name | Date | Kind |
---|---|---|---|
3082426 | Miles | Mar 1963 | A |
3503396 | Pierie et al. | Mar 1970 | A |
3584628 | Green | Jun 1971 | A |
3759017 | Young | Sep 1973 | A |
4448193 | Ivanov | May 1984 | A |
4523695 | Braun et al. | Jun 1985 | A |
4701193 | Robertson et al. | Oct 1987 | A |
4735603 | Goodson et al. | Apr 1988 | A |
4788977 | Farin et al. | Dec 1988 | A |
5042460 | Sakurai et al. | Aug 1991 | A |
5084057 | Green et al. | Jan 1992 | A |
5100402 | Fan | Mar 1992 | A |
5151102 | Kamiyama et al. | Sep 1992 | A |
5156315 | Green et al. | Oct 1992 | A |
5197962 | Sansom et al. | Mar 1993 | A |
5242474 | Herbst et al. | Sep 1993 | A |
5253793 | Green et al. | Oct 1993 | A |
RE34519 | Fox et al. | Jan 1994 | E |
5318516 | Cosmescu | Jun 1994 | A |
5322055 | Davison et al. | Jun 1994 | A |
5342349 | Kaufman | Aug 1994 | A |
5383880 | Hooven | Jan 1995 | A |
5396900 | Slater et al. | Mar 1995 | A |
5397046 | Savage et al. | Mar 1995 | A |
5403312 | Yates et al. | Apr 1995 | A |
5403327 | Thornton et al. | Apr 1995 | A |
5413267 | Solyntjes et al. | May 1995 | A |
5417699 | Klein et al. | May 1995 | A |
5439468 | Schulze et al. | Aug 1995 | A |
5445304 | Plyley et al. | Aug 1995 | A |
5465895 | Knodel et al. | Nov 1995 | A |
5467911 | Tsuruta et al. | Nov 1995 | A |
5474566 | Alesi et al. | Dec 1995 | A |
5496315 | Weaver et al. | Mar 1996 | A |
5503320 | Webster et al. | Apr 1996 | A |
5531743 | Nettekoven et al. | Jul 1996 | A |
5545148 | Wurster | Aug 1996 | A |
5610379 | Muz et al. | Mar 1997 | A |
5613966 | Makower et al. | Mar 1997 | A |
5624452 | Yates | Apr 1997 | A |
5643291 | Pier et al. | Jul 1997 | A |
5654750 | Weil et al. | Aug 1997 | A |
5673841 | Schulze et al. | Oct 1997 | A |
5673842 | Bittner et al. | Oct 1997 | A |
5675227 | Roos et al. | Oct 1997 | A |
5693052 | Weaver | Dec 1997 | A |
5695502 | Pier et al. | Dec 1997 | A |
5697926 | Weaver | Dec 1997 | A |
5706998 | Plyley et al. | Jan 1998 | A |
5725536 | Oberlin et al. | Mar 1998 | A |
5725542 | Yoon | Mar 1998 | A |
5735848 | Yates et al. | Apr 1998 | A |
5746209 | Yost et al. | May 1998 | A |
5749362 | Funda et al. | May 1998 | A |
5749893 | Vidal et al. | May 1998 | A |
5752644 | Bolanos et al. | May 1998 | A |
5762255 | Chrisman et al. | Jun 1998 | A |
5766186 | Faraz et al. | Jun 1998 | A |
5769791 | Benaron et al. | Jun 1998 | A |
5797537 | Oberlin et al. | Aug 1998 | A |
D399561 | Ellingson | Oct 1998 | S |
5817093 | Williamson, IV et al. | Oct 1998 | A |
5820009 | Melling et al. | Oct 1998 | A |
5836909 | Cosmescu | Nov 1998 | A |
5843080 | Fleenor et al. | Dec 1998 | A |
5846237 | Nettekoven | Dec 1998 | A |
5849022 | Sakashita et al. | Dec 1998 | A |
5873873 | Smith et al. | Feb 1999 | A |
5878938 | Bittner et al. | Mar 1999 | A |
5893849 | Weaver | Apr 1999 | A |
5906625 | Bito et al. | May 1999 | A |
5942333 | Arnett et al. | Aug 1999 | A |
5947996 | Logeman | Sep 1999 | A |
5968032 | Sleister | Oct 1999 | A |
5980510 | Tsonton et al. | Nov 1999 | A |
5997528 | Bisch et al. | Dec 1999 | A |
6010054 | Johnson et al. | Jan 2000 | A |
6030437 | Gourrier et al. | Feb 2000 | A |
6036637 | Kudo | Mar 2000 | A |
6039735 | Greep | Mar 2000 | A |
6059799 | Aranyi et al. | May 2000 | A |
6066137 | Greep | May 2000 | A |
6079606 | Milliman et al. | Jun 2000 | A |
6090107 | Borgmeier et al. | Jul 2000 | A |
6099537 | Sugai et al. | Aug 2000 | A |
6155473 | Tompkins et al. | Dec 2000 | A |
6214000 | Fleenor et al. | Apr 2001 | B1 |
6273887 | Yamauchi et al. | Aug 2001 | B1 |
6301495 | Gueziec et al. | Oct 2001 | B1 |
6302881 | Farin | Oct 2001 | B1 |
6325808 | Bernard et al. | Dec 2001 | B1 |
6325811 | Messerly | Dec 2001 | B1 |
6341164 | Dilkie et al. | Jan 2002 | B1 |
6391102 | Bodden et al. | May 2002 | B1 |
6443973 | Whitman | Sep 2002 | B1 |
6461352 | Morgan et al. | Oct 2002 | B2 |
6530933 | Yeung et al. | Mar 2003 | B1 |
6551243 | Bocionek et al. | Apr 2003 | B2 |
6569109 | Sakurai et al. | May 2003 | B2 |
6582424 | Fleenor et al. | Jun 2003 | B2 |
6585791 | Garito et al. | Jul 2003 | B1 |
6618626 | West, Jr. et al. | Sep 2003 | B2 |
6648223 | Boukhny et al. | Nov 2003 | B2 |
6685704 | Greep | Feb 2004 | B2 |
6699187 | Webb et al. | Mar 2004 | B2 |
6742895 | Robin | Jun 2004 | B2 |
6752816 | Culp et al. | Jun 2004 | B2 |
6773444 | Messerly | Aug 2004 | B2 |
6778846 | Martinez et al. | Aug 2004 | B1 |
6781683 | Kacyra et al. | Aug 2004 | B2 |
6783524 | Anderson et al. | Aug 2004 | B2 |
6783525 | Greep et al. | Aug 2004 | B2 |
6852219 | Hammond | Feb 2005 | B2 |
6869430 | Balbierz et al. | Mar 2005 | B2 |
6869435 | Blake, III | Mar 2005 | B2 |
6911033 | de Guillebon et al. | Jun 2005 | B2 |
6937892 | Leyde et al. | Aug 2005 | B2 |
6945981 | Donofrio et al. | Sep 2005 | B2 |
6951559 | Greep | Oct 2005 | B1 |
6978921 | Shelton, IV et al. | Dec 2005 | B2 |
6988649 | Shelton, IV et al. | Jan 2006 | B2 |
7000818 | Shelton, IV et al. | Feb 2006 | B2 |
7030146 | Baynes et al. | Apr 2006 | B2 |
7032798 | Whitman et al. | Apr 2006 | B2 |
7041941 | Faries, Jr. et al. | May 2006 | B2 |
7044352 | Shelton, IV et al. | May 2006 | B2 |
7044911 | Drinan et al. | May 2006 | B2 |
7048775 | Jornitz et al. | May 2006 | B2 |
7053752 | Wang et al. | May 2006 | B2 |
7077853 | Kramer et al. | Jul 2006 | B2 |
7077856 | Whitman | Jul 2006 | B2 |
7081096 | Brister et al. | Jul 2006 | B2 |
7097640 | Wang et al. | Aug 2006 | B2 |
7103688 | Strong | Sep 2006 | B2 |
7118564 | Ritchie et al. | Oct 2006 | B2 |
7121460 | Parsons et al. | Oct 2006 | B1 |
7143923 | Shelton, IV et al. | Dec 2006 | B2 |
7143925 | Shelton, IV et al. | Dec 2006 | B2 |
7147139 | Schwemberger et al. | Dec 2006 | B2 |
7169145 | Isaacson et al. | Jan 2007 | B2 |
7177533 | McFarlin et al. | Feb 2007 | B2 |
7182775 | de Guillebon et al. | Feb 2007 | B2 |
7208005 | Frecker et al. | Apr 2007 | B2 |
7230529 | Ketcherside, Jr. et al. | Jun 2007 | B2 |
7232447 | Gellman et al. | Jun 2007 | B2 |
7236817 | Papas et al. | Jun 2007 | B2 |
7246734 | Shelton, IV | Jul 2007 | B2 |
7278563 | Green | Oct 2007 | B1 |
7294106 | Birkenbach et al. | Nov 2007 | B2 |
7294116 | Ellman et al. | Nov 2007 | B1 |
7296724 | Green et al. | Nov 2007 | B2 |
7317955 | McGreevy | Jan 2008 | B2 |
7328828 | Ortiz et al. | Feb 2008 | B2 |
7362228 | Nycz et al. | Apr 2008 | B2 |
7371227 | Zeiner | May 2008 | B2 |
7380695 | Doll et al. | Jun 2008 | B2 |
7383088 | Spinelli et al. | Jun 2008 | B2 |
7391173 | Schena | Jun 2008 | B2 |
7407074 | Ortiz et al. | Aug 2008 | B2 |
7422139 | Shelton, IV et al. | Sep 2008 | B2 |
7423972 | Shaham et al. | Sep 2008 | B2 |
7457804 | Uber, III et al. | Nov 2008 | B2 |
7464847 | Viola et al. | Dec 2008 | B2 |
7464849 | Shelton, IV et al. | Dec 2008 | B2 |
7515961 | Germanson et al. | Apr 2009 | B2 |
7575144 | Ortiz et al. | Aug 2009 | B2 |
7621192 | Conti et al. | Nov 2009 | B2 |
7621898 | Lalomia et al. | Nov 2009 | B2 |
7637410 | Marczyk | Dec 2009 | B2 |
7641092 | Kruszynski et al. | Jan 2010 | B2 |
7667839 | Bates | Feb 2010 | B2 |
7670334 | Hueil et al. | Mar 2010 | B2 |
7694865 | Scirica | Apr 2010 | B2 |
7699860 | Huitema et al. | Apr 2010 | B2 |
7720306 | Gardiner et al. | May 2010 | B2 |
7721934 | Shelton, IV et al. | May 2010 | B2 |
7736357 | Lee, Jr. et al. | Jun 2010 | B2 |
7742176 | Braunecker et al. | Jun 2010 | B2 |
7753245 | Boudreaux et al. | Jul 2010 | B2 |
7766905 | Paterson et al. | Aug 2010 | B2 |
7770773 | Whitman et al. | Aug 2010 | B2 |
7776037 | Odom | Aug 2010 | B2 |
7782789 | Stultz et al. | Aug 2010 | B2 |
7784663 | Shelton, IV | Aug 2010 | B2 |
7803151 | Whitman | Sep 2010 | B2 |
7818041 | Kim et al. | Oct 2010 | B2 |
7837079 | Holsten et al. | Nov 2010 | B2 |
7837680 | Isaacson et al. | Nov 2010 | B2 |
7845537 | Shelton, IV et al. | Dec 2010 | B2 |
7862560 | Marion | Jan 2011 | B2 |
7862579 | Ortiz et al. | Jan 2011 | B2 |
7892337 | Palmerton et al. | Feb 2011 | B2 |
7913891 | Doll et al. | Mar 2011 | B2 |
7918230 | Whitman et al. | Apr 2011 | B2 |
7920706 | Asokan et al. | Apr 2011 | B2 |
7955322 | Devengenzo et al. | Jun 2011 | B2 |
7963433 | Whitman et al. | Jun 2011 | B2 |
7966269 | Bauer et al. | Jun 2011 | B2 |
7967180 | Scirica | Jun 2011 | B2 |
7976553 | Shelton, IV et al. | Jul 2011 | B2 |
7979157 | Anvari | Jul 2011 | B2 |
7980443 | Scheib et al. | Jul 2011 | B2 |
7982776 | Dunki-Jacobs et al. | Jul 2011 | B2 |
7988028 | Farascioni et al. | Aug 2011 | B2 |
7993140 | Sakezles | Aug 2011 | B2 |
7995045 | Dunki-Jacobs | Aug 2011 | B2 |
8005947 | Morris et al. | Aug 2011 | B2 |
8007513 | Nalagatla et al. | Aug 2011 | B2 |
8010180 | Quaid et al. | Aug 2011 | B2 |
8012170 | Whitman et al. | Sep 2011 | B2 |
8015976 | Shah | Sep 2011 | B2 |
8035685 | Jensen | Oct 2011 | B2 |
8038686 | Huitema et al. | Oct 2011 | B2 |
8043560 | Okumoto et al. | Oct 2011 | B2 |
8054184 | Cline et al. | Nov 2011 | B2 |
8062306 | Nobis et al. | Nov 2011 | B2 |
8062330 | Prommersberger et al. | Nov 2011 | B2 |
8066721 | Kortenbach et al. | Nov 2011 | B2 |
8075571 | Vitali et al. | Dec 2011 | B2 |
8096459 | Ortiz et al. | Jan 2012 | B2 |
8120301 | Goldberg et al. | Feb 2012 | B2 |
8123764 | Meade et al. | Feb 2012 | B2 |
8131565 | Dicks et al. | Mar 2012 | B2 |
8147486 | Honour et al. | Apr 2012 | B2 |
8157145 | Shelton, IV et al. | Apr 2012 | B2 |
8157150 | Viola et al. | Apr 2012 | B2 |
8160098 | Yan et al. | Apr 2012 | B1 |
8161977 | Shelton, IV et al. | Apr 2012 | B2 |
8172836 | Ward | May 2012 | B2 |
8181839 | Beetel | May 2012 | B2 |
8185409 | Putnam et al. | May 2012 | B2 |
8206345 | Abboud et al. | Jun 2012 | B2 |
8210411 | Yates et al. | Jul 2012 | B2 |
8220688 | Laurent et al. | Jul 2012 | B2 |
8225979 | Farascioni et al. | Jul 2012 | B2 |
8229549 | Whitman et al. | Jul 2012 | B2 |
8257387 | Cunningham | Sep 2012 | B2 |
8262560 | Whitman | Sep 2012 | B2 |
8292888 | Whitman | Oct 2012 | B2 |
8308040 | Huang et al. | Nov 2012 | B2 |
8321581 | Katis et al. | Nov 2012 | B2 |
8328065 | Shah | Dec 2012 | B2 |
8335590 | Costa et al. | Dec 2012 | B2 |
8346392 | Walser et al. | Jan 2013 | B2 |
8364222 | Cook et al. | Jan 2013 | B2 |
8365975 | Manoux et al. | Feb 2013 | B1 |
8388652 | Viola | Mar 2013 | B2 |
8393514 | Shelton, IV et al. | Mar 2013 | B2 |
8397972 | Kostrzewski | Mar 2013 | B2 |
8398541 | DiMaio et al. | Mar 2013 | B2 |
8403946 | Whitfield et al. | Mar 2013 | B2 |
8406859 | Zuzak et al. | Mar 2013 | B2 |
8422035 | Hinderling et al. | Apr 2013 | B2 |
8423182 | Robinson et al. | Apr 2013 | B2 |
8428722 | Verhoef et al. | Apr 2013 | B2 |
8439910 | Greep et al. | May 2013 | B2 |
8444663 | Houser et al. | May 2013 | B2 |
8452615 | Abri | May 2013 | B2 |
8454506 | Rothman et al. | Jun 2013 | B2 |
8461744 | Wiener et al. | Jun 2013 | B2 |
8468030 | Stroup et al. | Jun 2013 | B2 |
8469973 | Meade et al. | Jun 2013 | B2 |
8472630 | Konrad et al. | Jun 2013 | B2 |
8476227 | Kaplan et al. | Jul 2013 | B2 |
8489235 | Moll et al. | Jul 2013 | B2 |
8499992 | Whitman et al. | Aug 2013 | B2 |
8503759 | Greer et al. | Aug 2013 | B2 |
8505801 | Ehrenfels et al. | Aug 2013 | B2 |
8512365 | Wiener et al. | Aug 2013 | B2 |
8521331 | Itkowitz | Aug 2013 | B2 |
8523043 | Ullrich et al. | Sep 2013 | B2 |
8546996 | Messerly et al. | Oct 2013 | B2 |
8560047 | Haider et al. | Oct 2013 | B2 |
8561870 | Baxter, III et al. | Oct 2013 | B2 |
8562598 | Falkenstein et al. | Oct 2013 | B2 |
8566115 | Moore | Oct 2013 | B2 |
8573465 | Shelton, IV | Nov 2013 | B2 |
8591536 | Robertson | Nov 2013 | B2 |
8595607 | Nekoomaram et al. | Nov 2013 | B2 |
8596513 | Olson et al. | Dec 2013 | B2 |
8608044 | Hueil et al. | Dec 2013 | B2 |
8608045 | Smith et al. | Dec 2013 | B2 |
8616431 | Timm et al. | Dec 2013 | B2 |
8620473 | Diolaiti et al. | Dec 2013 | B2 |
8623027 | Price et al. | Jan 2014 | B2 |
8627483 | Rachlin et al. | Jan 2014 | B2 |
8627995 | Smith et al. | Jan 2014 | B2 |
8628518 | Blumenkranz et al. | Jan 2014 | B2 |
8628545 | Cabrera et al. | Jan 2014 | B2 |
8632525 | Kerr et al. | Jan 2014 | B2 |
8652086 | Gerg et al. | Feb 2014 | B2 |
8652128 | Ward | Feb 2014 | B2 |
8657176 | Shelton, IV et al. | Feb 2014 | B2 |
8657177 | Scirica et al. | Feb 2014 | B2 |
8663220 | Wiener et al. | Mar 2014 | B2 |
8666544 | Moll et al. | Mar 2014 | B2 |
8682049 | Zhao et al. | Mar 2014 | B2 |
8682489 | Itkowitz et al. | Mar 2014 | B2 |
8685056 | Evans et al. | Apr 2014 | B2 |
8701962 | Kostrzewski | Apr 2014 | B2 |
8733613 | Huitema et al. | May 2014 | B2 |
8740840 | Foley et al. | Jun 2014 | B2 |
8740866 | Reasoner et al. | Jun 2014 | B2 |
8752749 | Moore et al. | Jun 2014 | B2 |
8757465 | Woodard, Jr. et al. | Jun 2014 | B2 |
8761717 | Buchheit | Jun 2014 | B1 |
8763879 | Shelton, IV et al. | Jul 2014 | B2 |
8768251 | Claus et al. | Jul 2014 | B2 |
8771270 | Burbank | Jul 2014 | B2 |
8775196 | Simpson et al. | Jul 2014 | B2 |
8779648 | Giordano et al. | Jul 2014 | B2 |
8794497 | Zingman | Aug 2014 | B2 |
8799008 | Johnson et al. | Aug 2014 | B2 |
8799009 | Mellin et al. | Aug 2014 | B2 |
8801703 | Gregg et al. | Aug 2014 | B2 |
8814996 | Giurgiutiu et al. | Aug 2014 | B2 |
8818556 | Sanchez et al. | Aug 2014 | B2 |
8820603 | Shelton, IV et al. | Sep 2014 | B2 |
8820608 | Miyamoto | Sep 2014 | B2 |
8827134 | Viola et al. | Sep 2014 | B2 |
8840003 | Morgan et al. | Sep 2014 | B2 |
8851354 | Swensgard et al. | Oct 2014 | B2 |
8852174 | Burbank | Oct 2014 | B2 |
8875973 | Whitman | Nov 2014 | B2 |
8882662 | Charles | Nov 2014 | B2 |
8905977 | Shelton et al. | Dec 2014 | B2 |
8912746 | Reid et al. | Dec 2014 | B2 |
8914098 | Brennan et al. | Dec 2014 | B2 |
8918207 | Prisco | Dec 2014 | B2 |
8920414 | Stone et al. | Dec 2014 | B2 |
8920433 | Barrier et al. | Dec 2014 | B2 |
8930203 | Kiaie et al. | Jan 2015 | B2 |
8930214 | Woolford | Jan 2015 | B2 |
8931679 | Kostrzewski | Jan 2015 | B2 |
8945095 | Blumenkranz et al. | Feb 2015 | B2 |
8945163 | Voegele et al. | Feb 2015 | B2 |
8956581 | Rosenbaum et al. | Feb 2015 | B2 |
8960519 | Whitman et al. | Feb 2015 | B2 |
8960520 | McCuen | Feb 2015 | B2 |
8962062 | Podhajsky et al. | Feb 2015 | B2 |
8967455 | Zhou | Mar 2015 | B2 |
8968276 | Zemlok et al. | Mar 2015 | B2 |
8968309 | Roy et al. | Mar 2015 | B2 |
8968337 | Whitfield et al. | Mar 2015 | B2 |
8968358 | Reschke | Mar 2015 | B2 |
8974429 | Gordon et al. | Mar 2015 | B2 |
8986302 | Aldridge et al. | Mar 2015 | B2 |
8989903 | Weir et al. | Mar 2015 | B2 |
8991678 | Wellman et al. | Mar 2015 | B2 |
8992565 | Brisson et al. | Mar 2015 | B2 |
8998797 | Omori | Apr 2015 | B2 |
9002518 | Manzo et al. | Apr 2015 | B2 |
9011366 | Dean et al. | Apr 2015 | B2 |
9011427 | Price et al. | Apr 2015 | B2 |
9016539 | Kostrzewski et al. | Apr 2015 | B2 |
9017326 | Dinardo et al. | Apr 2015 | B2 |
9020240 | Pettersson et al. | Apr 2015 | B2 |
9023071 | Miller et al. | May 2015 | B2 |
9027431 | Tang et al. | May 2015 | B2 |
9028494 | Shelton, IV et al. | May 2015 | B2 |
9035568 | Ganton et al. | May 2015 | B2 |
9038882 | Racenet et al. | May 2015 | B2 |
9043027 | Durant et al. | May 2015 | B2 |
9044227 | Shelton, IV et al. | Jun 2015 | B2 |
9044244 | Ludwin et al. | Jun 2015 | B2 |
9044261 | Houser | Jun 2015 | B2 |
9050063 | Roe et al. | Jun 2015 | B2 |
9050083 | Yates et al. | Jun 2015 | B2 |
9050120 | Swarup et al. | Jun 2015 | B2 |
9052809 | Vesto | Jun 2015 | B2 |
9055035 | Porsch et al. | Jun 2015 | B2 |
9060770 | Shelton, IV et al. | Jun 2015 | B2 |
9060775 | Wiener et al. | Jun 2015 | B2 |
9066650 | Sekiguchi | Jun 2015 | B2 |
9072535 | Shelton, IV et al. | Jul 2015 | B2 |
9072536 | Shelton, IV et al. | Jul 2015 | B2 |
9078653 | Leimbach et al. | Jul 2015 | B2 |
9078727 | Miller | Jul 2015 | B2 |
9084606 | Greep | Jul 2015 | B2 |
9089360 | Messerly et al. | Jul 2015 | B2 |
9095362 | Dachs, II et al. | Aug 2015 | B2 |
9095367 | Olson et al. | Aug 2015 | B2 |
9101358 | Kerr et al. | Aug 2015 | B2 |
9101359 | Smith et al. | Aug 2015 | B2 |
9101374 | Hoch et al. | Aug 2015 | B1 |
9106270 | Puterbaugh et al. | Aug 2015 | B2 |
9107573 | Birnkrant | Aug 2015 | B2 |
9107662 | Kostrzewski | Aug 2015 | B2 |
9107684 | Ma | Aug 2015 | B2 |
9107688 | Kimball et al. | Aug 2015 | B2 |
9107689 | Robertson et al. | Aug 2015 | B2 |
9107694 | Hendriks et al. | Aug 2015 | B2 |
9114494 | Mah | Aug 2015 | B1 |
9116597 | Gulasky | Aug 2015 | B1 |
9119655 | Bowling et al. | Sep 2015 | B2 |
9119657 | Shelton, IV et al. | Sep 2015 | B2 |
9123155 | Cunningham et al. | Sep 2015 | B2 |
9129054 | Nawana et al. | Sep 2015 | B2 |
9137254 | Bilbrey et al. | Sep 2015 | B2 |
9138129 | Diolaiti | Sep 2015 | B2 |
9149322 | Knowlton | Oct 2015 | B2 |
9161803 | Yates et al. | Oct 2015 | B2 |
9168054 | Turner et al. | Oct 2015 | B2 |
9179912 | Yates et al. | Nov 2015 | B2 |
9183723 | Sherman et al. | Nov 2015 | B2 |
9192375 | Skinlo et al. | Nov 2015 | B2 |
9192447 | Choi et al. | Nov 2015 | B2 |
9192707 | Gerber et al. | Nov 2015 | B2 |
9202078 | Abuelsaad et al. | Dec 2015 | B2 |
9204879 | Shelton, IV | Dec 2015 | B2 |
9204995 | Scheller et al. | Dec 2015 | B2 |
9216062 | Duque et al. | Dec 2015 | B2 |
9218053 | Komuro et al. | Dec 2015 | B2 |
9226766 | Aldridge et al. | Jan 2016 | B2 |
9226767 | Stulen et al. | Jan 2016 | B2 |
9237891 | Shelton, IV | Jan 2016 | B2 |
9241728 | Price et al. | Jan 2016 | B2 |
9241731 | Boudreaux et al. | Jan 2016 | B2 |
9250172 | Harris et al. | Feb 2016 | B2 |
9255907 | Heanue et al. | Feb 2016 | B2 |
9265585 | Wingardner et al. | Feb 2016 | B2 |
9272406 | Aronhalt et al. | Mar 2016 | B2 |
9277956 | Zhang | Mar 2016 | B2 |
9280884 | Schultz et al. | Mar 2016 | B1 |
9282974 | Shelton, IV | Mar 2016 | B2 |
9283054 | Morgan et al. | Mar 2016 | B2 |
9289212 | Shelton, IV et al. | Mar 2016 | B2 |
9295514 | Shelton, IV et al. | Mar 2016 | B2 |
9301691 | Hufnagel et al. | Apr 2016 | B2 |
9301753 | Aldridge et al. | Apr 2016 | B2 |
9301759 | Spivey et al. | Apr 2016 | B2 |
9301810 | Amiri et al. | Apr 2016 | B2 |
9307894 | von Grunberg et al. | Apr 2016 | B2 |
9307914 | Fahey | Apr 2016 | B2 |
9314246 | Shelton, IV et al. | Apr 2016 | B2 |
9314308 | Parihar et al. | Apr 2016 | B2 |
9326767 | Koch et al. | May 2016 | B2 |
9331422 | Nazzaro et al. | May 2016 | B2 |
9332987 | Leimbach et al. | May 2016 | B2 |
9333042 | Diolaiti et al. | May 2016 | B2 |
9345481 | Hall et al. | May 2016 | B2 |
9345490 | Ippisch | May 2016 | B2 |
9351726 | Leimbach et al. | May 2016 | B2 |
9351727 | Leimbach et al. | May 2016 | B2 |
9358003 | Hail et al. | Jun 2016 | B2 |
9358685 | Meier et al. | Jun 2016 | B2 |
9360449 | Duric | Jun 2016 | B2 |
9364231 | Wenchell | Jun 2016 | B2 |
9364249 | Kimball et al. | Jun 2016 | B2 |
9364294 | Razzaque et al. | Jun 2016 | B2 |
9375282 | Nau, Jr. et al. | Jun 2016 | B2 |
9375539 | Stearns et al. | Jun 2016 | B2 |
9381003 | Todor et al. | Jul 2016 | B2 |
9381058 | Houser et al. | Jul 2016 | B2 |
9386984 | Aronhalt et al. | Jul 2016 | B2 |
9386988 | Baxter, III et al. | Jul 2016 | B2 |
9387295 | Mastri et al. | Jul 2016 | B1 |
9393017 | Flanagan et al. | Jul 2016 | B2 |
9393037 | Olson et al. | Jul 2016 | B2 |
9398905 | Martin | Jul 2016 | B2 |
9398911 | Auld | Jul 2016 | B2 |
9402629 | Ehrenfels et al. | Aug 2016 | B2 |
9414776 | Sillay et al. | Aug 2016 | B2 |
9419018 | Sasagawa et al. | Aug 2016 | B2 |
9421014 | Ingmanson et al. | Aug 2016 | B2 |
9433470 | Choi | Sep 2016 | B2 |
9439736 | Olson | Sep 2016 | B2 |
9450701 | Do et al. | Sep 2016 | B2 |
9451958 | Shelton, IV et al. | Sep 2016 | B2 |
9463022 | Swayze et al. | Oct 2016 | B2 |
9468438 | Baber et al. | Oct 2016 | B2 |
9480492 | Aranyi et al. | Nov 2016 | B2 |
9485475 | Speier et al. | Nov 2016 | B2 |
9492146 | Kostrzewski et al. | Nov 2016 | B2 |
9492237 | Kang et al. | Nov 2016 | B2 |
9498215 | Duque et al. | Nov 2016 | B2 |
9516239 | Blanquart et al. | Dec 2016 | B2 |
9519753 | Gerdeman et al. | Dec 2016 | B1 |
9526407 | Hoeg et al. | Dec 2016 | B2 |
9526499 | Kostrzewski et al. | Dec 2016 | B2 |
9526587 | Zhao et al. | Dec 2016 | B2 |
9539007 | Dhakad et al. | Jan 2017 | B2 |
9539020 | Conlon et al. | Jan 2017 | B2 |
9542481 | Halter et al. | Jan 2017 | B2 |
9546662 | Shener-Irmakoglu et al. | Jan 2017 | B2 |
9554794 | Baber et al. | Jan 2017 | B2 |
9554854 | Yates et al. | Jan 2017 | B2 |
9561038 | Shelton, IV et al. | Feb 2017 | B2 |
9561045 | Hinman et al. | Feb 2017 | B2 |
9572592 | Price et al. | Feb 2017 | B2 |
9585657 | Shelton, IV et al. | Mar 2017 | B2 |
9592095 | Panescu et al. | Mar 2017 | B2 |
9597081 | Swayze et al. | Mar 2017 | B2 |
9603024 | Wang et al. | Mar 2017 | B2 |
9610114 | Baxter, III et al. | Apr 2017 | B2 |
9622808 | Beller et al. | Apr 2017 | B2 |
9629623 | Lytle, IV et al. | Apr 2017 | B2 |
9629629 | Leimbach et al. | Apr 2017 | B2 |
9630318 | Ibarz Gabardos et al. | Apr 2017 | B2 |
9636188 | Gattani et al. | May 2017 | B2 |
9641596 | Unagami et al. | May 2017 | B2 |
9641815 | Richardson et al. | May 2017 | B2 |
9649110 | Parihar et al. | May 2017 | B2 |
9649111 | Shelton, IV et al. | May 2017 | B2 |
9649126 | Robertson et al. | May 2017 | B2 |
9649169 | Cinquin et al. | May 2017 | B2 |
9652655 | Satish et al. | May 2017 | B2 |
9655616 | Aranyi | May 2017 | B2 |
9656092 | Golden | May 2017 | B2 |
9662116 | Smith et al. | May 2017 | B2 |
9662177 | Weir et al. | May 2017 | B2 |
9668729 | Williams et al. | Jun 2017 | B2 |
9668732 | Patel et al. | Jun 2017 | B2 |
9668765 | Grace et al. | Jun 2017 | B2 |
9681870 | Baxter, III et al. | Jun 2017 | B2 |
9686306 | Chizeck et al. | Jun 2017 | B2 |
9687230 | Leimbach et al. | Jun 2017 | B2 |
9690362 | Leimbach et al. | Jun 2017 | B2 |
9700292 | Nawana et al. | Jul 2017 | B2 |
9700309 | Jaworek et al. | Jul 2017 | B2 |
9700312 | Kostrzewski et al. | Jul 2017 | B2 |
9706993 | Hessler et al. | Jul 2017 | B2 |
9710644 | Reybok et al. | Jul 2017 | B2 |
9713424 | Spaide | Jul 2017 | B2 |
9717498 | Aranyi et al. | Aug 2017 | B2 |
9717525 | Ahluwalia et al. | Aug 2017 | B2 |
9717548 | Couture | Aug 2017 | B2 |
9724094 | Baber et al. | Aug 2017 | B2 |
9724118 | Schulte et al. | Aug 2017 | B2 |
9733663 | Leimbach et al. | Aug 2017 | B2 |
9737301 | Baber et al. | Aug 2017 | B2 |
9737310 | Whitfield et al. | Aug 2017 | B2 |
9737335 | Butler et al. | Aug 2017 | B2 |
9737355 | Yates et al. | Aug 2017 | B2 |
9740826 | Raghavan et al. | Aug 2017 | B2 |
9743016 | Nestares et al. | Aug 2017 | B2 |
9743929 | Leimbach et al. | Aug 2017 | B2 |
9743946 | Faller et al. | Aug 2017 | B2 |
9743947 | Price et al. | Aug 2017 | B2 |
9750499 | Leimbach et al. | Sep 2017 | B2 |
9750522 | Scheib et al. | Sep 2017 | B2 |
9750523 | Tsubuku | Sep 2017 | B2 |
9753135 | Bosch | Sep 2017 | B2 |
9757126 | Cappola | Sep 2017 | B2 |
9757128 | Baber et al. | Sep 2017 | B2 |
9757142 | Shimizu | Sep 2017 | B2 |
9757152 | Ogilvie et al. | Sep 2017 | B2 |
9764164 | Wiener et al. | Sep 2017 | B2 |
9770541 | Carr et al. | Sep 2017 | B2 |
9777913 | Talbert et al. | Oct 2017 | B2 |
9782164 | Mumaw et al. | Oct 2017 | B2 |
9782169 | Kimsey et al. | Oct 2017 | B2 |
9782212 | Wham et al. | Oct 2017 | B2 |
9782214 | Houser et al. | Oct 2017 | B2 |
9788836 | Overmyer et al. | Oct 2017 | B2 |
9788851 | Dannaher et al. | Oct 2017 | B2 |
9788902 | Inoue et al. | Oct 2017 | B2 |
9788907 | Alvi et al. | Oct 2017 | B1 |
9795436 | Yates et al. | Oct 2017 | B2 |
9801626 | Parihar et al. | Oct 2017 | B2 |
9801627 | Harris et al. | Oct 2017 | B2 |
9801679 | Trees et al. | Oct 2017 | B2 |
9802033 | Hibner et al. | Oct 2017 | B2 |
9804618 | Leimbach et al. | Oct 2017 | B2 |
9805472 | Chou et al. | Oct 2017 | B2 |
9808244 | Leimbach et al. | Nov 2017 | B2 |
9808245 | Richard et al. | Nov 2017 | B2 |
9808248 | Hoffman | Nov 2017 | B2 |
9814457 | Martin et al. | Nov 2017 | B2 |
9814460 | Kimsey et al. | Nov 2017 | B2 |
9814462 | Woodard, Jr. et al. | Nov 2017 | B2 |
9814463 | Williams et al. | Nov 2017 | B2 |
9820699 | Bingley et al. | Nov 2017 | B2 |
9820738 | Lytle, IV et al. | Nov 2017 | B2 |
9820741 | Kostrzewski | Nov 2017 | B2 |
9826976 | Parihar et al. | Nov 2017 | B2 |
9826977 | Leimbach et al. | Nov 2017 | B2 |
9827054 | Richmond et al. | Nov 2017 | B2 |
9827059 | Robinson et al. | Nov 2017 | B2 |
9833241 | Huitema et al. | Dec 2017 | B2 |
9839419 | Deck et al. | Dec 2017 | B2 |
9839424 | Zergiebel et al. | Dec 2017 | B2 |
9839428 | Baxter, III et al. | Dec 2017 | B2 |
9839470 | Gilbert et al. | Dec 2017 | B2 |
9839487 | Dachs, II | Dec 2017 | B2 |
9844369 | Huitema et al. | Dec 2017 | B2 |
9844374 | Lytle, IV et al. | Dec 2017 | B2 |
9844375 | Overmyer et al. | Dec 2017 | B2 |
9844379 | Shelton, IV et al. | Dec 2017 | B2 |
9848058 | Johnson et al. | Dec 2017 | B2 |
9848877 | Shelton, IV et al. | Dec 2017 | B2 |
9861354 | Saliman et al. | Jan 2018 | B2 |
9861363 | Chen et al. | Jan 2018 | B2 |
9861428 | Trees et al. | Jan 2018 | B2 |
9867612 | Parihar et al. | Jan 2018 | B2 |
9867651 | Wham | Jan 2018 | B2 |
9867914 | Bonano et al. | Jan 2018 | B2 |
9872609 | Levy | Jan 2018 | B2 |
9872683 | Hopkins et al. | Jan 2018 | B2 |
9877718 | Weir et al. | Jan 2018 | B2 |
9877721 | Schellin et al. | Jan 2018 | B2 |
9883860 | Leimbach | Feb 2018 | B2 |
9888914 | Martin et al. | Feb 2018 | B2 |
9888919 | Leimbach et al. | Feb 2018 | B2 |
9888921 | Williams et al. | Feb 2018 | B2 |
9895148 | Shelton, IV et al. | Feb 2018 | B2 |
9900787 | Ou | Feb 2018 | B2 |
9901342 | Shelton, IV et al. | Feb 2018 | B2 |
9905000 | Chou et al. | Feb 2018 | B2 |
9907550 | Sniffin et al. | Mar 2018 | B2 |
9913642 | Leimbach et al. | Mar 2018 | B2 |
9913645 | Zerkle et al. | Mar 2018 | B2 |
9918778 | Walberg et al. | Mar 2018 | B2 |
9918788 | Paul et al. | Mar 2018 | B2 |
9922304 | Debusk et al. | Mar 2018 | B2 |
9924941 | Burbank | Mar 2018 | B2 |
9924961 | Shelton, IV et al. | Mar 2018 | B2 |
9931040 | Homyk et al. | Apr 2018 | B2 |
9931118 | Shelton, IV et al. | Apr 2018 | B2 |
9931124 | Gokharu | Apr 2018 | B2 |
9936942 | Chin et al. | Apr 2018 | B2 |
9936955 | Miller et al. | Apr 2018 | B2 |
9936961 | Chien et al. | Apr 2018 | B2 |
9937012 | Hares et al. | Apr 2018 | B2 |
9937014 | Bowling et al. | Apr 2018 | B2 |
9937626 | Rockrohr | Apr 2018 | B2 |
9938972 | Walley | Apr 2018 | B2 |
9943309 | Shelton, IV et al. | Apr 2018 | B2 |
9943377 | Yates et al. | Apr 2018 | B2 |
9943379 | Gregg, II et al. | Apr 2018 | B2 |
9943918 | Grogan et al. | Apr 2018 | B2 |
9949785 | Price et al. | Apr 2018 | B2 |
9962157 | Sapre | May 2018 | B2 |
9968355 | Shelton, IV et al. | May 2018 | B2 |
9980778 | Ohline et al. | May 2018 | B2 |
9987000 | Shelton, IV et al. | Jun 2018 | B2 |
9993248 | Shelton, IV et al. | Jun 2018 | B2 |
9993258 | Shelton, IV et al. | Jun 2018 | B2 |
10004491 | Martin et al. | Jun 2018 | B2 |
10004497 | Overmyer et al. | Jun 2018 | B2 |
10004500 | Shelton, IV et al. | Jun 2018 | B2 |
10004501 | Shelton, IV et al. | Jun 2018 | B2 |
10004527 | Gee et al. | Jun 2018 | B2 |
D822206 | Shelton, IV et al. | Jul 2018 | S |
10010322 | Shelton, IV et al. | Jul 2018 | B2 |
10010324 | Huitema et al. | Jul 2018 | B2 |
10013049 | Leimbach et al. | Jul 2018 | B2 |
10016199 | Baber et al. | Jul 2018 | B2 |
10021318 | Hugosson et al. | Jul 2018 | B2 |
10022120 | Martin et al. | Jul 2018 | B2 |
10022391 | Ruderman Chen et al. | Jul 2018 | B2 |
10022568 | Messerly et al. | Jul 2018 | B2 |
10028761 | Leimbach et al. | Jul 2018 | B2 |
10028788 | Kang | Jul 2018 | B2 |
10034704 | Asher et al. | Jul 2018 | B2 |
10037641 | Hyde et al. | Jul 2018 | B2 |
D826405 | Shelton, IV et al. | Aug 2018 | S |
10039564 | Hibner et al. | Aug 2018 | B2 |
10039565 | Vezzu | Aug 2018 | B2 |
10041822 | Zemlok | Aug 2018 | B2 |
10044791 | Kamen et al. | Aug 2018 | B2 |
10045776 | Shelton, IV et al. | Aug 2018 | B2 |
10045779 | Savage et al. | Aug 2018 | B2 |
10045781 | Cropper et al. | Aug 2018 | B2 |
10045813 | Mueller | Aug 2018 | B2 |
10048379 | Markendorf et al. | Aug 2018 | B2 |
10052044 | Shelton, IV et al. | Aug 2018 | B2 |
10052102 | Baxter, III et al. | Aug 2018 | B2 |
10054441 | Schorr et al. | Aug 2018 | B2 |
10076326 | Yates et al. | Sep 2018 | B2 |
10080618 | Marshall et al. | Sep 2018 | B2 |
10085748 | Morgan et al. | Oct 2018 | B2 |
10085749 | Cappola et al. | Oct 2018 | B2 |
10098527 | Weisenburgh, II et al. | Oct 2018 | B2 |
10098635 | Burbank | Oct 2018 | B2 |
10098705 | Brisson et al. | Oct 2018 | B2 |
10105140 | Malinouskas et al. | Oct 2018 | B2 |
10105142 | Baxter, III et al. | Oct 2018 | B2 |
10111658 | Chowaniec et al. | Oct 2018 | B2 |
10111665 | Aranyi et al. | Oct 2018 | B2 |
10111679 | Baber et al. | Oct 2018 | B2 |
10117649 | Baxter et al. | Nov 2018 | B2 |
10117651 | Whitman et al. | Nov 2018 | B2 |
10117702 | Danziger et al. | Nov 2018 | B2 |
10118119 | Sappok et al. | Nov 2018 | B2 |
10130359 | Hess et al. | Nov 2018 | B2 |
10130360 | Olson et al. | Nov 2018 | B2 |
10130367 | Cappola et al. | Nov 2018 | B2 |
10133248 | Fitzsimmons et al. | Nov 2018 | B2 |
10135242 | Baber et al. | Nov 2018 | B2 |
10136887 | Shelton, IV et al. | Nov 2018 | B2 |
10136949 | Felder et al. | Nov 2018 | B2 |
10143526 | Walker et al. | Dec 2018 | B2 |
10143948 | Bonifas et al. | Dec 2018 | B2 |
10149680 | Parihar et al. | Dec 2018 | B2 |
10152789 | Carnes et al. | Dec 2018 | B2 |
10159044 | Hrabak | Dec 2018 | B2 |
10159481 | Whitman et al. | Dec 2018 | B2 |
10159483 | Beckman et al. | Dec 2018 | B2 |
10164466 | Calderoni | Dec 2018 | B2 |
10166025 | Leimbach et al. | Jan 2019 | B2 |
10169862 | Andre et al. | Jan 2019 | B2 |
10172687 | Garbus et al. | Jan 2019 | B2 |
10175096 | Dickerson | Jan 2019 | B2 |
10175127 | Collins et al. | Jan 2019 | B2 |
10178992 | Wise et al. | Jan 2019 | B2 |
10179413 | Rockrohr | Jan 2019 | B2 |
10180463 | Beckman et al. | Jan 2019 | B2 |
10182814 | Okoniewski | Jan 2019 | B2 |
10182816 | Shelton, IV et al. | Jan 2019 | B2 |
10182818 | Hensel et al. | Jan 2019 | B2 |
10188385 | Kerr et al. | Jan 2019 | B2 |
10189157 | Schlegel et al. | Jan 2019 | B2 |
10194907 | Marczyk et al. | Feb 2019 | B2 |
10194913 | Nalagatla et al. | Feb 2019 | B2 |
10201349 | Leimbach et al. | Feb 2019 | B2 |
10201364 | Leimbach et al. | Feb 2019 | B2 |
10201365 | Boudreaux et al. | Feb 2019 | B2 |
10205708 | Fletcher et al. | Feb 2019 | B1 |
10206605 | Shelton, IV et al. | Feb 2019 | B2 |
10206752 | Hares et al. | Feb 2019 | B2 |
10213201 | Shelton, IV et al. | Feb 2019 | B2 |
10213266 | Zemlok et al. | Feb 2019 | B2 |
10213268 | Dachs, II | Feb 2019 | B2 |
10219491 | Stiles, Jr. et al. | Mar 2019 | B2 |
10226250 | Beckman et al. | Mar 2019 | B2 |
10226302 | Lacal et al. | Mar 2019 | B2 |
10231634 | Zand et al. | Mar 2019 | B2 |
10231733 | Ehrenfels et al. | Mar 2019 | B2 |
10238413 | Hibner et al. | Mar 2019 | B2 |
10245027 | Shelton, IV et al. | Apr 2019 | B2 |
10245028 | Shelton, IV et al. | Apr 2019 | B2 |
10245029 | Hunter et al. | Apr 2019 | B2 |
10245030 | Hunter et al. | Apr 2019 | B2 |
10245033 | Overmyer et al. | Apr 2019 | B2 |
10245037 | Conklin et al. | Apr 2019 | B2 |
10245038 | Hopkins et al. | Apr 2019 | B2 |
10251661 | Collings et al. | Apr 2019 | B2 |
10258331 | Shelton, IV et al. | Apr 2019 | B2 |
10258359 | Kapadia | Apr 2019 | B2 |
10258362 | Conlon | Apr 2019 | B2 |
10258415 | Harrah et al. | Apr 2019 | B2 |
10258418 | Shelton, IV et al. | Apr 2019 | B2 |
10258425 | Mustufa et al. | Apr 2019 | B2 |
10263171 | Wiener et al. | Apr 2019 | B2 |
10265035 | Fehre et al. | Apr 2019 | B2 |
10265068 | Harris et al. | Apr 2019 | B2 |
10265072 | Shelton, IV et al. | Apr 2019 | B2 |
10265090 | Ingmanson et al. | Apr 2019 | B2 |
10265130 | Hess et al. | Apr 2019 | B2 |
10271840 | Sapre | Apr 2019 | B2 |
10271844 | Valentine et al. | Apr 2019 | B2 |
10271851 | Shelton, IV et al. | Apr 2019 | B2 |
D847989 | Shelton, IV et al. | May 2019 | S |
10278698 | Racenet | May 2019 | B2 |
10278778 | State et al. | May 2019 | B2 |
10285698 | Cappola et al. | May 2019 | B2 |
10285705 | Shelton, IV et al. | May 2019 | B2 |
10292704 | Harris et al. | May 2019 | B2 |
10292707 | Shelton, IV et al. | May 2019 | B2 |
10292758 | Boudreaux et al. | May 2019 | B2 |
10292771 | Wood et al. | May 2019 | B2 |
10299792 | Huitema et al. | May 2019 | B2 |
10299870 | Connolly et al. | May 2019 | B2 |
D850617 | Shelton, IV et al. | Jun 2019 | S |
10307159 | Harris et al. | Jun 2019 | B2 |
10307170 | Parfett et al. | Jun 2019 | B2 |
10307199 | Farritor et al. | Jun 2019 | B2 |
10311036 | Hussam et al. | Jun 2019 | B1 |
10313137 | Aarnio et al. | Jun 2019 | B2 |
10314577 | Laurent et al. | Jun 2019 | B2 |
10314582 | Shelton, IV et al. | Jun 2019 | B2 |
10321907 | Shelton, IV et al. | Jun 2019 | B2 |
10321964 | Grover et al. | Jun 2019 | B2 |
10327764 | Harris et al. | Jun 2019 | B2 |
10335147 | Rector et al. | Jul 2019 | B2 |
10335149 | Baxter, III et al. | Jul 2019 | B2 |
10335227 | Heard | Jul 2019 | B2 |
10342543 | Shelton, IV et al. | Jul 2019 | B2 |
10342602 | Strobl et al. | Jul 2019 | B2 |
10342623 | Huelman et al. | Jul 2019 | B2 |
10343102 | Reasoner et al. | Jul 2019 | B2 |
10357246 | Shelton, IV et al. | Jul 2019 | B2 |
10357247 | Shelton, IV et al. | Jul 2019 | B2 |
10362179 | Harris | Jul 2019 | B2 |
10363037 | Aronhalt et al. | Jul 2019 | B2 |
10368861 | Baxter, III et al. | Aug 2019 | B2 |
10368865 | Harris et al. | Aug 2019 | B2 |
10368867 | Harris et al. | Aug 2019 | B2 |
10368876 | Bhatnagar et al. | Aug 2019 | B2 |
10368894 | Madan et al. | Aug 2019 | B2 |
10376263 | Morgan et al. | Aug 2019 | B2 |
10376305 | Yates et al. | Aug 2019 | B2 |
10376337 | Kilroy et al. | Aug 2019 | B2 |
10376338 | Taylor et al. | Aug 2019 | B2 |
10378893 | Mankovskii | Aug 2019 | B2 |
10383518 | Abu-Tarif et al. | Aug 2019 | B2 |
10383699 | Kilroy et al. | Aug 2019 | B2 |
10390718 | Chen et al. | Aug 2019 | B2 |
10390794 | Kuroiwa et al. | Aug 2019 | B2 |
10390825 | Shelton, IV et al. | Aug 2019 | B2 |
10390831 | Holsten et al. | Aug 2019 | B2 |
10390895 | Henderson et al. | Aug 2019 | B2 |
10398434 | Shelton, IV et al. | Sep 2019 | B2 |
10398517 | Eckert et al. | Sep 2019 | B2 |
10398521 | Itkowitz et al. | Sep 2019 | B2 |
10404521 | McChord et al. | Sep 2019 | B2 |
10404801 | Martch | Sep 2019 | B2 |
10405857 | Shelton, IV et al. | Sep 2019 | B2 |
10405863 | Wise et al. | Sep 2019 | B2 |
10413291 | Worthington et al. | Sep 2019 | B2 |
10413293 | Shelton, IV et al. | Sep 2019 | B2 |
10413297 | Harris et al. | Sep 2019 | B2 |
10417446 | Takeyama | Sep 2019 | B2 |
10420552 | Shelton, IV et al. | Sep 2019 | B2 |
10420558 | Nalagatla et al. | Sep 2019 | B2 |
10420559 | Marczyk et al. | Sep 2019 | B2 |
10420620 | Rockrohr | Sep 2019 | B2 |
10420865 | Reasoner et al. | Sep 2019 | B2 |
10422727 | Pliskin | Sep 2019 | B2 |
10426466 | Contini et al. | Oct 2019 | B2 |
10426467 | Miller et al. | Oct 2019 | B2 |
10426468 | Contini et al. | Oct 2019 | B2 |
10426471 | Shelton, IV et al. | Oct 2019 | B2 |
10433837 | Worthington et al. | Oct 2019 | B2 |
10433844 | Shelton, IV et al. | Oct 2019 | B2 |
10433849 | Shelton, IV et al. | Oct 2019 | B2 |
10441279 | Shelton, IV et al. | Oct 2019 | B2 |
10441345 | Aldridge et al. | Oct 2019 | B2 |
10448948 | Shelton, IV et al. | Oct 2019 | B2 |
10448950 | Shelton, IV et al. | Oct 2019 | B2 |
10456137 | Vendely et al. | Oct 2019 | B2 |
10456140 | Shelton, IV et al. | Oct 2019 | B2 |
10456193 | Yates et al. | Oct 2019 | B2 |
10463367 | Kostrzewski et al. | Nov 2019 | B2 |
10463371 | Kostrzewski | Nov 2019 | B2 |
10463436 | Jackson et al. | Nov 2019 | B2 |
10470762 | Leimbach et al. | Nov 2019 | B2 |
10470764 | Baxter, III et al. | Nov 2019 | B2 |
10470768 | Harris et al. | Nov 2019 | B2 |
10470791 | Houser | Nov 2019 | B2 |
10471254 | Sano et al. | Nov 2019 | B2 |
10478181 | Shelton, IV et al. | Nov 2019 | B2 |
10478190 | Miller et al. | Nov 2019 | B2 |
10478544 | Friederichs et al. | Nov 2019 | B2 |
10485450 | Gupta et al. | Nov 2019 | B2 |
10485542 | Shelton, IV et al. | Nov 2019 | B2 |
10485543 | Shelton, IV et al. | Nov 2019 | B2 |
10492783 | Shelton, IV et al. | Dec 2019 | B2 |
10492785 | Overmyer et al. | Dec 2019 | B2 |
10496788 | Amarasingham et al. | Dec 2019 | B2 |
10498269 | Zemlok et al. | Dec 2019 | B2 |
10499891 | Chaplin et al. | Dec 2019 | B2 |
10499914 | Huang et al. | Dec 2019 | B2 |
10499915 | Aranyi | Dec 2019 | B2 |
10499994 | Luks et al. | Dec 2019 | B2 |
10507068 | Kopp et al. | Dec 2019 | B2 |
10512461 | Gupta et al. | Dec 2019 | B2 |
10517588 | Gupta et al. | Dec 2019 | B2 |
10517595 | Hunter et al. | Dec 2019 | B2 |
10517596 | Hunter et al. | Dec 2019 | B2 |
10517686 | Vokrot et al. | Dec 2019 | B2 |
10524789 | Swayze et al. | Jan 2020 | B2 |
10531874 | Morgan et al. | Jan 2020 | B2 |
10531929 | Widenhouse et al. | Jan 2020 | B2 |
10532330 | Diallo et al. | Jan 2020 | B2 |
10536617 | Liang et al. | Jan 2020 | B2 |
10537324 | Shelton, IV et al. | Jan 2020 | B2 |
10537325 | Bakos et al. | Jan 2020 | B2 |
10537351 | Shelton, IV et al. | Jan 2020 | B2 |
10542979 | Shelton, IV et al. | Jan 2020 | B2 |
10542982 | Beckman et al. | Jan 2020 | B2 |
10542991 | Shelton, IV et al. | Jan 2020 | B2 |
10548504 | Shelton, IV et al. | Feb 2020 | B2 |
10548612 | Martinez et al. | Feb 2020 | B2 |
10552574 | Sweeney | Feb 2020 | B2 |
10555675 | Satish et al. | Feb 2020 | B2 |
10555748 | Yates et al. | Feb 2020 | B2 |
10555750 | Conlon et al. | Feb 2020 | B2 |
10555769 | Worrell et al. | Feb 2020 | B2 |
10561422 | Schellin et al. | Feb 2020 | B2 |
10561471 | Nichogi | Feb 2020 | B2 |
10568625 | Harris et al. | Feb 2020 | B2 |
10568626 | Shelton, IV et al. | Feb 2020 | B2 |
10568632 | Miller et al. | Feb 2020 | B2 |
10582928 | Hunter et al. | Mar 2020 | B2 |
10582931 | Mujawar | Mar 2020 | B2 |
10586074 | Rose et al. | Mar 2020 | B2 |
10588625 | Weaner et al. | Mar 2020 | B2 |
10588629 | Malinouskas et al. | Mar 2020 | B2 |
10588630 | Shelton, IV et al. | Mar 2020 | B2 |
10588631 | Shelton, IV et al. | Mar 2020 | B2 |
10588632 | Shelton, IV et al. | Mar 2020 | B2 |
10595882 | Parfett et al. | Mar 2020 | B2 |
10595887 | Shelton, IV et al. | Mar 2020 | B2 |
10595952 | Forrest et al. | Mar 2020 | B2 |
10602848 | Magana | Mar 2020 | B2 |
10603036 | Hunter et al. | Mar 2020 | B2 |
10603128 | Zergiebel et al. | Mar 2020 | B2 |
10610223 | Wellman et al. | Apr 2020 | B2 |
10610224 | Shelton, IV et al. | Apr 2020 | B2 |
10610286 | Wiener et al. | Apr 2020 | B2 |
10610313 | Bailey et al. | Apr 2020 | B2 |
10617412 | Shelton, IV et al. | Apr 2020 | B2 |
10617414 | Shelton, IV et al. | Apr 2020 | B2 |
10617484 | Kilroy et al. | Apr 2020 | B2 |
10624635 | Harris et al. | Apr 2020 | B2 |
10624691 | Wiener et al. | Apr 2020 | B2 |
10631423 | Collins et al. | Apr 2020 | B2 |
10631916 | Horner et al. | Apr 2020 | B2 |
10631917 | Ineson | Apr 2020 | B2 |
10631939 | Dachs, II et al. | Apr 2020 | B2 |
10639027 | Shelton, IV et al. | May 2020 | B2 |
10639034 | Harris et al. | May 2020 | B2 |
10639035 | Shelton, IV et al. | May 2020 | B2 |
10639036 | Yates et al. | May 2020 | B2 |
10639037 | Shelton, IV et al. | May 2020 | B2 |
10639039 | Vendely et al. | May 2020 | B2 |
10639111 | Kopp | May 2020 | B2 |
10639185 | Agrawal et al. | May 2020 | B2 |
10653413 | Worthington et al. | May 2020 | B2 |
10653476 | Ross | May 2020 | B2 |
10653489 | Kopp | May 2020 | B2 |
10667809 | Bakos et al. | Jun 2020 | B2 |
10667810 | Shelton, IV et al. | Jun 2020 | B2 |
10667811 | Harris et al. | Jun 2020 | B2 |
10667877 | Kapadia | Jun 2020 | B2 |
10674897 | Levy | Jun 2020 | B2 |
10675021 | Harris et al. | Jun 2020 | B2 |
10675023 | Cappola | Jun 2020 | B2 |
10675024 | Shelton, IV et al. | Jun 2020 | B2 |
10675025 | Swayze et al. | Jun 2020 | B2 |
10675026 | Harris et al. | Jun 2020 | B2 |
10675104 | Kapadia | Jun 2020 | B2 |
10677764 | Ross et al. | Jun 2020 | B2 |
10679758 | Fox et al. | Jun 2020 | B2 |
10682136 | Harris et al. | Jun 2020 | B2 |
10682138 | Shelton, IV et al. | Jun 2020 | B2 |
10686805 | Reybok, Jr. et al. | Jun 2020 | B2 |
10687806 | Shelton, IV et al. | Jun 2020 | B2 |
10687809 | Shelton, IV et al. | Jun 2020 | B2 |
10687810 | Shelton, IV et al. | Jun 2020 | B2 |
10687884 | Wiener et al. | Jun 2020 | B2 |
10687905 | Kostrzewski | Jun 2020 | B2 |
10695055 | Shelton, IV et al. | Jun 2020 | B2 |
10695081 | Shelton, IV et al. | Jun 2020 | B2 |
10695134 | Barral et al. | Jun 2020 | B2 |
10702270 | Shelton, IV et al. | Jul 2020 | B2 |
10702271 | Aranyi et al. | Jul 2020 | B2 |
10709446 | Harris et al. | Jul 2020 | B2 |
10716615 | Shelton, IV et al. | Jul 2020 | B2 |
10716639 | Kapadia et al. | Jul 2020 | B2 |
10717194 | Griffiths et al. | Jul 2020 | B2 |
10722222 | Aranyi | Jul 2020 | B2 |
10722233 | Wellman | Jul 2020 | B2 |
10729458 | Stoddard et al. | Aug 2020 | B2 |
10733267 | Pedersen | Aug 2020 | B2 |
10736219 | Seow et al. | Aug 2020 | B2 |
10736616 | Scheib et al. | Aug 2020 | B2 |
10736628 | Yates et al. | Aug 2020 | B2 |
10736629 | Shelton, IV et al. | Aug 2020 | B2 |
10736636 | Baxter, III et al. | Aug 2020 | B2 |
10736705 | Scheib et al. | Aug 2020 | B2 |
10743872 | Leimbach et al. | Aug 2020 | B2 |
10748115 | Laster et al. | Aug 2020 | B2 |
10751136 | Farritor et al. | Aug 2020 | B2 |
10751768 | Hersey et al. | Aug 2020 | B2 |
10755813 | Shelton, IV et al. | Aug 2020 | B2 |
10758229 | Shelton, IV et al. | Sep 2020 | B2 |
10758230 | Shelton, IV et al. | Sep 2020 | B2 |
10758294 | Jones | Sep 2020 | B2 |
10758310 | Shelton, IV et al. | Sep 2020 | B2 |
10765376 | Brown, III et al. | Sep 2020 | B2 |
10765424 | Baxter, III et al. | Sep 2020 | B2 |
10765427 | Shelton, IV et al. | Sep 2020 | B2 |
10765470 | Yates et al. | Sep 2020 | B2 |
10772651 | Shelton, IV et al. | Sep 2020 | B2 |
10772688 | Peine et al. | Sep 2020 | B2 |
10779818 | Zemlok et al. | Sep 2020 | B2 |
10779821 | Harris et al. | Sep 2020 | B2 |
10779823 | Shelton, IV et al. | Sep 2020 | B2 |
10779897 | Rockrohr | Sep 2020 | B2 |
10779900 | Pedros et al. | Sep 2020 | B2 |
10783634 | Nye et al. | Sep 2020 | B2 |
20020049551 | Friedman et al. | Apr 2002 | A1 |
20030093503 | Yamaki et al. | May 2003 | A1 |
20040078236 | Stoodley et al. | Apr 2004 | A1 |
20040199180 | Knodel et al. | Oct 2004 | A1 |
20040199659 | Ishikawa et al. | Oct 2004 | A1 |
20040243148 | Wasielewski | Dec 2004 | A1 |
20040243435 | Williams | Dec 2004 | A1 |
20050063575 | Ma et al. | Mar 2005 | A1 |
20050065438 | Miller | Mar 2005 | A1 |
20050131390 | Heinrich et al. | Jun 2005 | A1 |
20050149001 | Uchikubo et al. | Jul 2005 | A1 |
20050149356 | Cyr et al. | Jul 2005 | A1 |
20050222631 | Dalal et al. | Oct 2005 | A1 |
20050277913 | McCary | Dec 2005 | A1 |
20060020272 | Gildenberg | Jan 2006 | A1 |
20060116908 | Dew et al. | Jun 2006 | A1 |
20060241399 | Fabian | Oct 2006 | A1 |
20070010838 | Shelton et al. | Jan 2007 | A1 |
20070016235 | Tanaka et al. | Jan 2007 | A1 |
20070027459 | Horvath et al. | Feb 2007 | A1 |
20070078678 | DiSilvestro et al. | Apr 2007 | A1 |
20070167702 | Hasser et al. | Jul 2007 | A1 |
20070168461 | Moore | Jul 2007 | A1 |
20070175955 | Shelton et al. | Aug 2007 | A1 |
20070225556 | Ortiz et al. | Sep 2007 | A1 |
20070244478 | Bahney | Oct 2007 | A1 |
20070249990 | Cosmescu | Oct 2007 | A1 |
20070270660 | Caylor et al. | Nov 2007 | A1 |
20070293218 | Meylan et al. | Dec 2007 | A1 |
20080013460 | Allen et al. | Jan 2008 | A1 |
20080015664 | Podhajsky | Jan 2008 | A1 |
20080015912 | Rosenthal et al. | Jan 2008 | A1 |
20080033404 | Romoda et al. | Feb 2008 | A1 |
20080040151 | Moore | Feb 2008 | A1 |
20080059658 | Williams | Mar 2008 | A1 |
20080077158 | Haider et al. | Mar 2008 | A1 |
20080083414 | Messerges | Apr 2008 | A1 |
20080251569 | Smith | Oct 2008 | A1 |
20080255413 | Zemlok et al. | Oct 2008 | A1 |
20080262654 | Omori et al. | Oct 2008 | A1 |
20080281678 | Keuls et al. | Nov 2008 | A1 |
20080296346 | Shelton, IV et al. | Dec 2008 | A1 |
20090036750 | Weinstein et al. | Feb 2009 | A1 |
20090036794 | Stubhaug et al. | Feb 2009 | A1 |
20090043253 | Podaima | Feb 2009 | A1 |
20090046146 | Hoyt | Feb 2009 | A1 |
20090076409 | Wu et al. | Mar 2009 | A1 |
20090090763 | Zemlok et al. | Apr 2009 | A1 |
20090099866 | Newman | Apr 2009 | A1 |
20090182577 | Squilla et al. | Jul 2009 | A1 |
20090206131 | Weisenburgh, II et al. | Aug 2009 | A1 |
20090259149 | Tahara et al. | Oct 2009 | A1 |
20090259221 | Tahara et al. | Oct 2009 | A1 |
20090307681 | Armado et al. | Dec 2009 | A1 |
20090326321 | Jacobsen et al. | Dec 2009 | A1 |
20090326336 | Lemke et al. | Dec 2009 | A1 |
20100065604 | Weng | Mar 2010 | A1 |
20100070417 | Flynn et al. | Mar 2010 | A1 |
20100096435 | Fuchs | Apr 2010 | A1 |
20100132334 | Duclos et al. | Jun 2010 | A1 |
20100191100 | Anderson et al. | Jul 2010 | A1 |
20100198248 | Vakharia | Aug 2010 | A1 |
20100217991 | Choi | Aug 2010 | A1 |
20100235689 | Tian et al. | Sep 2010 | A1 |
20100250571 | Pierce et al. | Sep 2010 | A1 |
20100292535 | Paskar | Nov 2010 | A1 |
20110087238 | Wang et al. | Apr 2011 | A1 |
20110105895 | Kornblau et al. | May 2011 | A1 |
20110118708 | Burbank et al. | May 2011 | A1 |
20110119075 | Dhoble | May 2011 | A1 |
20110125149 | Ei-Galley et al. | May 2011 | A1 |
20110139851 | McCuen | Jun 2011 | A1 |
20110237883 | Chun | Sep 2011 | A1 |
20110306840 | Allen et al. | Dec 2011 | A1 |
20120116381 | Houser et al. | May 2012 | A1 |
20120130217 | Kauphusman et al. | May 2012 | A1 |
20120191091 | Allen | Jul 2012 | A1 |
20120203785 | Awada | Aug 2012 | A1 |
20120211542 | Racenet | Aug 2012 | A1 |
20120245958 | Lawrence et al. | Sep 2012 | A1 |
20120292367 | Morgan et al. | Nov 2012 | A1 |
20120319859 | Taub et al. | Dec 2012 | A1 |
20130024213 | Poon | Jan 2013 | A1 |
20130046279 | Niklewski et al. | Feb 2013 | A1 |
20130066647 | Andrie et al. | Mar 2013 | A1 |
20130090526 | Suzuki et al. | Apr 2013 | A1 |
20130093829 | Rosenblatt et al. | Apr 2013 | A1 |
20130105552 | Weir et al. | May 2013 | A1 |
20130116218 | Kaplan et al. | May 2013 | A1 |
20130165776 | Blomqvist | Jun 2013 | A1 |
20130178853 | Hyink et al. | Jul 2013 | A1 |
20130206813 | Nalagatla | Aug 2013 | A1 |
20130214025 | Zemlok | Aug 2013 | A1 |
20130253480 | Kimball et al. | Sep 2013 | A1 |
20130256373 | Schmid et al. | Oct 2013 | A1 |
20130277410 | Fernandez et al. | Oct 2013 | A1 |
20130317351 | Case et al. | Nov 2013 | A1 |
20130317837 | Ballantyne et al. | Nov 2013 | A1 |
20130321425 | Greene et al. | Dec 2013 | A1 |
20130325809 | Kim et al. | Dec 2013 | A1 |
20130331875 | Ross et al. | Dec 2013 | A1 |
20140001234 | Shelton, IV et al. | Jan 2014 | A1 |
20140006132 | Barker | Jan 2014 | A1 |
20140006943 | Robbins et al. | Jan 2014 | A1 |
20140029411 | Nayak et al. | Jan 2014 | A1 |
20140035762 | Shelton, IV et al. | Feb 2014 | A1 |
20140066700 | Wilson et al. | Mar 2014 | A1 |
20140081255 | Johnson et al. | Mar 2014 | A1 |
20140081659 | Nawana et al. | Mar 2014 | A1 |
20140087999 | Kaplan et al. | Mar 2014 | A1 |
20140092089 | Kasuya et al. | Apr 2014 | A1 |
20140107471 | Haider et al. | Apr 2014 | A1 |
20140107697 | Patani et al. | Apr 2014 | A1 |
20140108983 | William et al. | Apr 2014 | A1 |
20140187856 | Holoien et al. | Jul 2014 | A1 |
20140204190 | Rosenblatt, III et al. | Jul 2014 | A1 |
20140246475 | Hall et al. | Sep 2014 | A1 |
20140246476 | Hall | Sep 2014 | A1 |
20140249557 | Koch et al. | Sep 2014 | A1 |
20140252064 | Mozdzierz et al. | Sep 2014 | A1 |
20140263541 | Leimbach et al. | Sep 2014 | A1 |
20140263552 | Hall et al. | Sep 2014 | A1 |
20140303660 | Boyden et al. | Oct 2014 | A1 |
20140305988 | Boudreaux | Oct 2014 | A1 |
20140305993 | Timm | Oct 2014 | A1 |
20150025549 | Kilroy et al. | Jan 2015 | A1 |
20150032150 | Ishida et al. | Jan 2015 | A1 |
20150051617 | Takemura et al. | Feb 2015 | A1 |
20150053737 | Leimbach et al. | Feb 2015 | A1 |
20150066000 | An et al. | Mar 2015 | A1 |
20150070187 | Wiesner et al. | Mar 2015 | A1 |
20150108198 | Estrella | Apr 2015 | A1 |
20150108201 | Williams | Apr 2015 | A1 |
20150133945 | Dushyant et al. | May 2015 | A1 |
20150199109 | Lee | Jul 2015 | A1 |
20150238355 | Vezzu et al. | Aug 2015 | A1 |
20150272557 | Overmyer et al. | Oct 2015 | A1 |
20150272571 | Leimbach et al. | Oct 2015 | A1 |
20150272580 | Leimbach et al. | Oct 2015 | A1 |
20150272582 | Leimbach et al. | Oct 2015 | A1 |
20150297200 | Fitzsimmons et al. | Oct 2015 | A1 |
20150297222 | Huitema | Oct 2015 | A1 |
20150297228 | Huitema et al. | Oct 2015 | A1 |
20150297233 | Huitema et al. | Oct 2015 | A1 |
20150297311 | Tesar | Oct 2015 | A1 |
20150302157 | Collar et al. | Oct 2015 | A1 |
20150310174 | Coudert et al. | Oct 2015 | A1 |
20150313538 | Bechtel et al. | Nov 2015 | A1 |
20150317899 | Dumbauld et al. | Nov 2015 | A1 |
20150332003 | Stamm et al. | Nov 2015 | A1 |
20150332196 | Stiller et al. | Nov 2015 | A1 |
20160000437 | Giordano et al. | Jan 2016 | A1 |
20160015471 | Piron et al. | Jan 2016 | A1 |
20160030046 | Williams | Feb 2016 | A1 |
20160034648 | Mohlenbrock et al. | Feb 2016 | A1 |
20160038253 | Piron et al. | Feb 2016 | A1 |
20160066913 | Swayze et al. | Mar 2016 | A1 |
20160106934 | Hiraga et al. | Apr 2016 | A1 |
20160117857 | State et al. | Apr 2016 | A1 |
20160192960 | Bueno et al. | Jul 2016 | A1 |
20160206202 | Frangioni | Jul 2016 | A1 |
20160235303 | Fleming et al. | Aug 2016 | A1 |
20160249910 | Shelton, IV et al. | Sep 2016 | A1 |
20160256184 | Shelton, IV | Sep 2016 | A1 |
20160270780 | Hall | Sep 2016 | A1 |
20160296246 | Schaller | Oct 2016 | A1 |
20160302210 | Thornton et al. | Oct 2016 | A1 |
20160310055 | Zand et al. | Oct 2016 | A1 |
20160310203 | Gaspredes et al. | Oct 2016 | A1 |
20160321400 | Durrant et al. | Nov 2016 | A1 |
20160323283 | Kang et al. | Nov 2016 | A1 |
20160324537 | Green et al. | Nov 2016 | A1 |
20160342916 | Arceneaux et al. | Nov 2016 | A1 |
20160350490 | Martinez et al. | Dec 2016 | A1 |
20160374665 | DiNardo et al. | Dec 2016 | A1 |
20160374723 | Frankhouser et al. | Dec 2016 | A1 |
20160374762 | Case et al. | Dec 2016 | A1 |
20160374775 | Prpa et al. | Dec 2016 | A1 |
20170000516 | Stulen et al. | Jan 2017 | A1 |
20170000553 | Wiener et al. | Jan 2017 | A1 |
20170027603 | Pandey | Feb 2017 | A1 |
20170068792 | Reiner | Mar 2017 | A1 |
20170086829 | Vendely et al. | Mar 2017 | A1 |
20170086930 | Thompson et al. | Mar 2017 | A1 |
20170105754 | Boudreaux et al. | Apr 2017 | A1 |
20170132374 | Lee et al. | May 2017 | A1 |
20170132785 | Wshah et al. | May 2017 | A1 |
20170143284 | Sehnert et al. | May 2017 | A1 |
20170143442 | Tesar et al. | May 2017 | A1 |
20170151026 | Panescu et al. | Jun 2017 | A1 |
20170156076 | Eom et al. | Jun 2017 | A1 |
20170164997 | Johnson et al. | Jun 2017 | A1 |
20170165012 | Chaplin et al. | Jun 2017 | A1 |
20170172565 | Heneveld | Jun 2017 | A1 |
20170172614 | Scheib et al. | Jun 2017 | A1 |
20170177807 | Fabian | Jun 2017 | A1 |
20170181745 | Penna et al. | Jun 2017 | A1 |
20170196637 | Shelton, IV et al. | Jul 2017 | A1 |
20170202591 | Shelton, IV et al. | Jul 2017 | A1 |
20170202605 | Shelton, IV et al. | Jul 2017 | A1 |
20170202607 | Shelton, IV et al. | Jul 2017 | A1 |
20170224332 | Hunter et al. | Aug 2017 | A1 |
20170224334 | Worthington et al. | Aug 2017 | A1 |
20170224428 | Kopp | Aug 2017 | A1 |
20170231627 | Shelton, IV et al. | Aug 2017 | A1 |
20170231628 | Shelton, IV et al. | Aug 2017 | A1 |
20170249432 | Grantcharov | Aug 2017 | A1 |
20170252095 | Johnson | Sep 2017 | A1 |
20170255751 | Sanmugalingham | Sep 2017 | A1 |
20170281171 | Shelton, IV et al. | Oct 2017 | A1 |
20170281173 | Shelton, IV et al. | Oct 2017 | A1 |
20170281186 | Shelton, IV et al. | Oct 2017 | A1 |
20170281187 | Shelton, IV et al. | Oct 2017 | A1 |
20170281189 | Nalagatla et al. | Oct 2017 | A1 |
20170290585 | Shelton, IV et al. | Oct 2017 | A1 |
20170296169 | Yates et al. | Oct 2017 | A1 |
20170296173 | Shelton, IV et al. | Oct 2017 | A1 |
20170296177 | Harris et al. | Oct 2017 | A1 |
20170296185 | Swensgard et al. | Oct 2017 | A1 |
20170296213 | Swensgard et al. | Oct 2017 | A1 |
20170303984 | Malackowski | Oct 2017 | A1 |
20170304020 | Ng et al. | Oct 2017 | A1 |
20170360439 | Chen et al. | Dec 2017 | A1 |
20170360499 | Greep et al. | Dec 2017 | A1 |
20170367695 | Shelton, IV et al. | Dec 2017 | A1 |
20170367697 | Shelton, IV et al. | Dec 2017 | A1 |
20170367754 | Narisawa | Dec 2017 | A1 |
20180008359 | Randle | Jan 2018 | A1 |
20180014848 | Messerly et al. | Jan 2018 | A1 |
20180049817 | Swayze et al. | Feb 2018 | A1 |
20180049819 | Harris et al. | Feb 2018 | A1 |
20180050196 | Pawsey et al. | Feb 2018 | A1 |
20180055529 | Messerly et al. | Mar 2018 | A1 |
20180065248 | Barral et al. | Mar 2018 | A1 |
20180092706 | Anderson et al. | Apr 2018 | A1 |
20180098816 | Govari et al. | Apr 2018 | A1 |
20180110523 | Shelton, IV | Apr 2018 | A1 |
20180116662 | Shelton, IV et al. | May 2018 | A1 |
20180122506 | Grantcharov et al. | May 2018 | A1 |
20180125590 | Giordano et al. | May 2018 | A1 |
20180132895 | Silver | May 2018 | A1 |
20180153574 | Faller et al. | Jun 2018 | A1 |
20180153628 | Grover et al. | Jun 2018 | A1 |
20180153632 | Tokarchuk et al. | Jun 2018 | A1 |
20180161716 | Li et al. | Jun 2018 | A1 |
20180168575 | Simms et al. | Jun 2018 | A1 |
20180168577 | Aronhalt et al. | Jun 2018 | A1 |
20180168578 | Aronhalt et al. | Jun 2018 | A1 |
20180168579 | Aronhalt et al. | Jun 2018 | A1 |
20180168584 | Harris et al. | Jun 2018 | A1 |
20180168586 | Shelton, IV et al. | Jun 2018 | A1 |
20180168589 | Swayze et al. | Jun 2018 | A1 |
20180168590 | Overmyer et al. | Jun 2018 | A1 |
20180168592 | Overmyer et al. | Jun 2018 | A1 |
20180168593 | Overmyer et al. | Jun 2018 | A1 |
20180168597 | Fanelli et al. | Jun 2018 | A1 |
20180168598 | Shelton, IV et al. | Jun 2018 | A1 |
20180168601 | Bakos et al. | Jun 2018 | A1 |
20180168603 | Morgan et al. | Jun 2018 | A1 |
20180168605 | Baber et al. | Jun 2018 | A1 |
20180168607 | Shelton, IV et al. | Jun 2018 | A1 |
20180168608 | Shelton, IV et al. | Jun 2018 | A1 |
20180168609 | Fanelli et al. | Jun 2018 | A1 |
20180168610 | Shelton, IV et al. | Jun 2018 | A1 |
20180168614 | Shelton, IV et al. | Jun 2018 | A1 |
20180168615 | Shelton, IV et al. | Jun 2018 | A1 |
20180168617 | Shelton, IV et al. | Jun 2018 | A1 |
20180168618 | Scott et al. | Jun 2018 | A1 |
20180168619 | Scott et al. | Jun 2018 | A1 |
20180168623 | Simms et al. | Jun 2018 | A1 |
20180168625 | Posada et al. | Jun 2018 | A1 |
20180168627 | Weaner et al. | Jun 2018 | A1 |
20180168628 | Hunter et al. | Jun 2018 | A1 |
20180168629 | Shelton, IV et al. | Jun 2018 | A1 |
20180168632 | Harris et al. | Jun 2018 | A1 |
20180168633 | Shelton, IV et al. | Jun 2018 | A1 |
20180168639 | Shelton, IV et al. | Jun 2018 | A1 |
20180168647 | Shelton, IV et al. | Jun 2018 | A1 |
20180168648 | Shelton, IV et al. | Jun 2018 | A1 |
20180168649 | Shelton, IV et al. | Jun 2018 | A1 |
20180168650 | Shelton, IV et al. | Jun 2018 | A1 |
20180168651 | Shelton, IV et al. | Jun 2018 | A1 |
20180168715 | Strobl | Jun 2018 | A1 |
20180177557 | Kapadia et al. | Jun 2018 | A1 |
20180199995 | Odermatt et al. | Jul 2018 | A1 |
20180214025 | Homyk et al. | Aug 2018 | A1 |
20180221598 | Silver | Aug 2018 | A1 |
20180228557 | Darisse et al. | Aug 2018 | A1 |
20180242967 | Meade | Aug 2018 | A1 |
20180250080 | Kopp | Sep 2018 | A1 |
20180250084 | Kopp et al. | Sep 2018 | A1 |
20180263710 | Sakaguchi et al. | Sep 2018 | A1 |
20180263717 | Kopp | Sep 2018 | A1 |
20180271603 | Nir et al. | Sep 2018 | A1 |
20180296286 | Peine et al. | Oct 2018 | A1 |
20180304471 | Tokuchi | Oct 2018 | A1 |
20180310935 | Wixey | Nov 2018 | A1 |
20180310986 | Batchelor et al. | Nov 2018 | A1 |
20180317826 | Muhsin et al. | Nov 2018 | A1 |
20180317915 | McDonald, II | Nov 2018 | A1 |
20180338806 | Gru Bbs | Nov 2018 | A1 |
20180358112 | Sharifi Sedeh et al. | Dec 2018 | A1 |
20180360449 | Shelton, IV et al. | Dec 2018 | A1 |
20180360452 | Shelton, IV et al. | Dec 2018 | A1 |
20180360454 | Shelton, IV et al. | Dec 2018 | A1 |
20180360456 | Shelton, IV et al. | Dec 2018 | A1 |
20180368930 | Esterberg et al. | Dec 2018 | A1 |
20180369511 | Zergiebel et al. | Dec 2018 | A1 |
20190000446 | Shelton, IV et al. | Jan 2019 | A1 |
20190000448 | Shelton, IV et al. | Jan 2019 | A1 |
20190000478 | Messerly et al. | Jan 2019 | A1 |
20190000530 | Yates et al. | Jan 2019 | A1 |
20190000565 | Shelton, IV et al. | Jan 2019 | A1 |
20190000569 | Crawford et al. | Jan 2019 | A1 |
20190001079 | Zergiebel et al. | Jan 2019 | A1 |
20190005641 | Yamamoto | Jan 2019 | A1 |
20190006047 | Gorek et al. | Jan 2019 | A1 |
20190029712 | Stoddard et al. | Jan 2019 | A1 |
20190038364 | Enoki | Feb 2019 | A1 |
20190053801 | Wixey et al. | Feb 2019 | A1 |
20190053866 | Seow et al. | Feb 2019 | A1 |
20190069949 | Vrba et al. | Mar 2019 | A1 |
20190069962 | Tabandeh et al. | Mar 2019 | A1 |
20190069964 | Hagn | Mar 2019 | A1 |
20190070550 | Lalomia et al. | Mar 2019 | A1 |
20190070731 | Bowling et al. | Mar 2019 | A1 |
20190090969 | Jarc et al. | Mar 2019 | A1 |
20190104919 | Shelton, IV et al. | Apr 2019 | A1 |
20190125320 | Shelton, IV et al. | May 2019 | A1 |
20190125321 | Shelton, IV et al. | May 2019 | A1 |
20190125324 | Scheib et al. | May 2019 | A1 |
20190125335 | Shelton, IV et al. | May 2019 | A1 |
20190125336 | Deck et al. | May 2019 | A1 |
20190125337 | Shelton, IV et al. | May 2019 | A1 |
20190125338 | Shelton, IV et al. | May 2019 | A1 |
20190125339 | Shelton, IV et al. | May 2019 | A1 |
20190125344 | Dinardo et al. | May 2019 | A1 |
20190125347 | Stokes et al. | May 2019 | A1 |
20190125348 | Shelton, IV et al. | May 2019 | A1 |
20190125352 | Shelton, IV et al. | May 2019 | A1 |
20190125353 | Shelton, IV et al. | May 2019 | A1 |
20190125354 | Deck et al. | May 2019 | A1 |
20190125355 | Shelton, IV et al. | May 2019 | A1 |
20190125356 | Shelton, IV et al. | May 2019 | A1 |
20190125357 | Shelton, IV et al. | May 2019 | A1 |
20190125358 | Shelton, IV et al. | May 2019 | A1 |
20190125359 | Shelton, IV et al. | May 2019 | A1 |
20190125360 | Shelton, IV et al. | May 2019 | A1 |
20190125361 | Shelton, IV et al. | May 2019 | A1 |
20190125377 | Shelton, IV | May 2019 | A1 |
20190125378 | Shelton, IV et al. | May 2019 | A1 |
20190125379 | Shelton, IV et al. | May 2019 | A1 |
20190125381 | Scheib et al. | May 2019 | A1 |
20190125383 | Scheib et al. | May 2019 | A1 |
20190125384 | Scheib et al. | May 2019 | A1 |
20190125385 | Scheib et al. | May 2019 | A1 |
20190125386 | Shelton, IV et al. | May 2019 | A1 |
20190125387 | Parihar et al. | May 2019 | A1 |
20190125388 | Shelton, IV et al. | May 2019 | A1 |
20190125389 | Shelton, IV et al. | May 2019 | A1 |
20190125430 | Shelton, IV et al. | May 2019 | A1 |
20190125431 | Shelton, IV et al. | May 2019 | A1 |
20190125432 | Shelton, IV et al. | May 2019 | A1 |
20190125454 | Stokes et al. | May 2019 | A1 |
20190125455 | Shelton, IV et al. | May 2019 | A1 |
20190125456 | Shelton, IV et al. | May 2019 | A1 |
20190125457 | Parihar et al. | May 2019 | A1 |
20190125458 | Shelton, IV et al. | May 2019 | A1 |
20190125459 | Shelton, IV et al. | May 2019 | A1 |
20190125476 | Shelton, IV et al. | May 2019 | A1 |
20190133703 | Seow et al. | May 2019 | A1 |
20190142449 | Shelton, IV et al. | May 2019 | A1 |
20190142535 | Seow et al. | May 2019 | A1 |
20190145942 | Dutriez et al. | May 2019 | A1 |
20190150975 | Kawasaki et al. | May 2019 | A1 |
20190159778 | Shelton, IV et al. | May 2019 | A1 |
20190162179 | O'Shea et al. | May 2019 | A1 |
20190192157 | Scott et al. | Jun 2019 | A1 |
20190192236 | Shelton, IV et al. | Jun 2019 | A1 |
20190200844 | Shelton, IV et al. | Jul 2019 | A1 |
20190200863 | Shelton, IV et al. | Jul 2019 | A1 |
20190200905 | Shelton, IV et al. | Jul 2019 | A1 |
20190200906 | Shelton, IV et al. | Jul 2019 | A1 |
20190200977 | Shelton, IV et al. | Jul 2019 | A1 |
20190200980 | Shelton, IV et al. | Jul 2019 | A1 |
20190200981 | Harris et al. | Jul 2019 | A1 |
20190200984 | Shelton, IV et al. | Jul 2019 | A1 |
20190200985 | Shelton, IV et al. | Jul 2019 | A1 |
20190200986 | Shelton, IV et al. | Jul 2019 | A1 |
20190200987 | Shelton, IV et al. | Jul 2019 | A1 |
20190200988 | Shelton, IV | Jul 2019 | A1 |
20190200996 | Shelton, IV et al. | Jul 2019 | A1 |
20190200997 | Shelton, IV et al. | Jul 2019 | A1 |
20190201020 | Shelton, IV et al. | Jul 2019 | A1 |
20190201021 | Shelton, IV et al. | Jul 2019 | A1 |
20190201023 | Shelton, IV et al. | Jul 2019 | A1 |
20190201024 | Shelton, IV et al. | Jul 2019 | A1 |
20190201025 | Shelton, IV et al. | Jul 2019 | A1 |
20190201026 | Shelton, IV et al. | Jul 2019 | A1 |
20190201027 | Shelton, IV et al. | Jul 2019 | A1 |
20190201028 | Shelton, IV et al. | Jul 2019 | A1 |
20190201029 | Shelton, IV et al. | Jul 2019 | A1 |
20190201030 | Shelton, IV et al. | Jul 2019 | A1 |
20190201033 | Yates et al. | Jul 2019 | A1 |
20190201034 | Shelton, IV et al. | Jul 2019 | A1 |
20190201036 | Nott et al. | Jul 2019 | A1 |
20190201037 | Houser et al. | Jul 2019 | A1 |
20190201038 | Yates et al. | Jul 2019 | A1 |
20190201039 | Widenhouse et al. | Jul 2019 | A1 |
20190201040 | Messerly et al. | Jul 2019 | A1 |
20190201041 | Kimball et al. | Jul 2019 | A1 |
20190201042 | Nott et al. | Jul 2019 | A1 |
20190201043 | Shelton, IV et al. | Jul 2019 | A1 |
20190201044 | Shelton, IV et al. | Jul 2019 | A1 |
20190201045 | Yates et al. | Jul 2019 | A1 |
20190201046 | Shelton, IV et al. | Jul 2019 | A1 |
20190201047 | Yates et al. | Jul 2019 | A1 |
20190201073 | Nott et al. | Jul 2019 | A1 |
20190201074 | Yates et al. | Jul 2019 | A1 |
20190201075 | Shelton, IV et al. | Jul 2019 | A1 |
20190201077 | Yates et al. | Jul 2019 | A1 |
20190201079 | Shelton, IV et al. | Jul 2019 | A1 |
20190201080 | Messerly et al. | Jul 2019 | A1 |
20190201081 | Shelton, IV et al. | Jul 2019 | A1 |
20190201082 | Shelton, IV et al. | Jul 2019 | A1 |
20190201083 | Shelton, IV et al. | Jul 2019 | A1 |
20190201084 | Shelton, IV et al. | Jul 2019 | A1 |
20190201085 | Shelton, IV et al. | Jul 2019 | A1 |
20190201086 | Shelton, IV et al. | Jul 2019 | A1 |
20190201087 | Shelton, IV et al. | Jul 2019 | A1 |
20190201088 | Shelton, IV et al. | Jul 2019 | A1 |
20190201090 | Shelton, IV et al. | Jul 2019 | A1 |
20190201091 | Yates et al. | Jul 2019 | A1 |
20190201092 | Yates et al. | Jul 2019 | A1 |
20190201102 | Shelton, IV et al. | Jul 2019 | A1 |
20190201104 | Shelton, IV et al. | Jul 2019 | A1 |
20190201105 | Shelton, IV et al. | Jul 2019 | A1 |
20190201111 | Shelton, IV et al. | Jul 2019 | A1 |
20190201112 | Wiener et al. | Jul 2019 | A1 |
20190201113 | Shelton, IV et al. | Jul 2019 | A1 |
20190201114 | Shelton, IV et al. | Jul 2019 | A1 |
20190201115 | Shelton, IV et al. | Jul 2019 | A1 |
20190201116 | Shelton, IV et al. | Jul 2019 | A1 |
20190201117 | Yates et al. | Jul 2019 | A1 |
20190201118 | Shelton, IV et al. | Jul 2019 | A1 |
20190201119 | Harris et al. | Jul 2019 | A1 |
20190201120 | Shelton, IV et al. | Jul 2019 | A1 |
20190201123 | Shelton, IV et al. | Jul 2019 | A1 |
20190201124 | Shelton, IV et al. | Jul 2019 | A1 |
20190201125 | Shelton, IV et al. | Jul 2019 | A1 |
20190201126 | Shelton, IV et al. | Jul 2019 | A1 |
20190201127 | Shelton, IV et al. | Jul 2019 | A1 |
20190201128 | Yates et al. | Jul 2019 | A1 |
20190201129 | Shelton, IV et al. | Jul 2019 | A1 |
20190201130 | Shelton, IV et al. | Jul 2019 | A1 |
20190201135 | Shelton, IV et al. | Jul 2019 | A1 |
20190201136 | Shelton, IV et al. | Jul 2019 | A1 |
20190201137 | Shelton, IV et al. | Jul 2019 | A1 |
20190201138 | Yates et al. | Jul 2019 | A1 |
20190201139 | Shelton, IV et al. | Jul 2019 | A1 |
20190201140 | Yates et al. | Jul 2019 | A1 |
20190201141 | Shelton, IV et al. | Jul 2019 | A1 |
20190201142 | Shelton, IV et al. | Jul 2019 | A1 |
20190201143 | Shelton, IV et al. | Jul 2019 | A1 |
20190201144 | Shelton, IV et al. | Jul 2019 | A1 |
20190201145 | Shelton, IV et al. | Jul 2019 | A1 |
20190201146 | Shelton, IV et al. | Jul 2019 | A1 |
20190201158 | Shelton, IV et al. | Jul 2019 | A1 |
20190201159 | Shelton, IV et al. | Jul 2019 | A1 |
20190201594 | Shelton, IV et al. | Jul 2019 | A1 |
20190201597 | Shelton, IV et al. | Jul 2019 | A1 |
20190204201 | Shelton, IV et al. | Jul 2019 | A1 |
20190205001 | Messerly et al. | Jul 2019 | A1 |
20190205441 | Shelton, IV et al. | Jul 2019 | A1 |
20190205566 | Shelton, IV et al. | Jul 2019 | A1 |
20190205567 | Shelton, IV et al. | Jul 2019 | A1 |
20190206003 | Harris et al. | Jul 2019 | A1 |
20190206004 | Shelton, IV et al. | Jul 2019 | A1 |
20190206050 | Yates et al. | Jul 2019 | A1 |
20190206216 | Shelton, IV et al. | Jul 2019 | A1 |
20190206542 | Shelton, IV et al. | Jul 2019 | A1 |
20190206551 | Yates et al. | Jul 2019 | A1 |
20190206555 | Morgan et al. | Jul 2019 | A1 |
20190206556 | Shelton, IV et al. | Jul 2019 | A1 |
20190206561 | Shelton, IV et al. | Jul 2019 | A1 |
20190206562 | Shelton, IV et al. | Jul 2019 | A1 |
20190206563 | Shelton, IV et al. | Jul 2019 | A1 |
20190206564 | Shelton, IV et al. | Jul 2019 | A1 |
20190206565 | Shelton, IV | Jul 2019 | A1 |
20190206569 | Shelton, IV et al. | Jul 2019 | A1 |
20190206576 | Shelton, IV et al. | Jul 2019 | A1 |
20190207773 | Shelton, IV et al. | Jul 2019 | A1 |
20190207857 | Shelton, IV et al. | Jul 2019 | A1 |
20190207911 | Wiener et al. | Jul 2019 | A1 |
20190208641 | Yates et al. | Jul 2019 | A1 |
20190254759 | Azizian | Aug 2019 | A1 |
20190269476 | Bowling et al. | Sep 2019 | A1 |
20190274662 | Rockman et al. | Sep 2019 | A1 |
20190274705 | Sawhney et al. | Sep 2019 | A1 |
20190274706 | Nott et al. | Sep 2019 | A1 |
20190274707 | Sawhney et al. | Sep 2019 | A1 |
20190274708 | Boudreaux | Sep 2019 | A1 |
20190274709 | Scoggins | Sep 2019 | A1 |
20190274710 | Black | Sep 2019 | A1 |
20190274711 | Scoggins et al. | Sep 2019 | A1 |
20190274712 | Faller et al. | Sep 2019 | A1 |
20190274713 | Scoggins et al. | Sep 2019 | A1 |
20190274714 | Cuti et al. | Sep 2019 | A1 |
20190274716 | Nott et al. | Sep 2019 | A1 |
20190274717 | Nott et al. | Sep 2019 | A1 |
20190274718 | Denzinger et al. | Sep 2019 | A1 |
20190274719 | Stulen | Sep 2019 | A1 |
20190274720 | Gee et al. | Sep 2019 | A1 |
20190274749 | Brady et al. | Sep 2019 | A1 |
20190274750 | Jayme et al. | Sep 2019 | A1 |
20190274752 | Denzinger et al. | Sep 2019 | A1 |
20190290389 | Kopp | Sep 2019 | A1 |
20190298340 | Shelton, IV et al. | Oct 2019 | A1 |
20190298341 | Shelton, IV et al. | Oct 2019 | A1 |
20190298342 | Shelton, IV et al. | Oct 2019 | A1 |
20190298343 | Shelton, IV et al. | Oct 2019 | A1 |
20190298346 | Shelton, IV et al. | Oct 2019 | A1 |
20190298347 | Shelton, IV et al. | Oct 2019 | A1 |
20190298350 | Shelton, IV et al. | Oct 2019 | A1 |
20190298351 | Shelton, IV et al. | Oct 2019 | A1 |
20190298352 | Shelton, IV et al. | Oct 2019 | A1 |
20190298353 | Shelton, IV et al. | Oct 2019 | A1 |
20190298354 | Shelton, IV et al. | Oct 2019 | A1 |
20190298355 | Shelton, IV et al. | Oct 2019 | A1 |
20190298356 | Shelton, IV et al. | Oct 2019 | A1 |
20190298357 | Shelton, IV et al. | Oct 2019 | A1 |
20190298464 | Abbott | Oct 2019 | A1 |
20190298481 | Rosenberg et al. | Oct 2019 | A1 |
20190307520 | Peine et al. | Oct 2019 | A1 |
20190314015 | Shelton, IV et al. | Oct 2019 | A1 |
20190321117 | Itkowitz et al. | Oct 2019 | A1 |
20190343594 | Garcia Kilroy et al. | Nov 2019 | A1 |
20190374140 | Tucker et al. | Dec 2019 | A1 |
20200054317 | Pisarnwongs et al. | Feb 2020 | A1 |
20200054320 | Harris et al. | Feb 2020 | A1 |
20200054321 | Harris et al. | Feb 2020 | A1 |
20200054322 | Harris et al. | Feb 2020 | A1 |
20200054323 | Harris et al. | Feb 2020 | A1 |
20200054326 | Harris et al. | Feb 2020 | A1 |
20200054327 | Harris et al. | Feb 2020 | A1 |
20200054328 | Harris et al. | Feb 2020 | A1 |
20200054329 | Shelton, IV et al. | Feb 2020 | A1 |
20200054330 | Harris et al. | Feb 2020 | A1 |
20200054331 | Harris et al. | Feb 2020 | A1 |
20200100830 | Henderson et al. | Apr 2020 | A1 |
20200178971 | Harris et al. | Jun 2020 | A1 |
20200261075 | Boudreaux et al. | Aug 2020 | A1 |
20200261076 | Boudreaux et al. | Aug 2020 | A1 |
20200261077 | Shelton, IV et al. | Aug 2020 | A1 |
20200261078 | Bakos et al. | Aug 2020 | A1 |
20200261080 | Bakos et al. | Aug 2020 | A1 |
20200261081 | Boudreaux et al. | Aug 2020 | A1 |
20200261082 | Boudreaux et al. | Aug 2020 | A1 |
20200261083 | Bakos et al. | Aug 2020 | A1 |
20200261084 | Bakos et al. | Aug 2020 | A1 |
20200261085 | Boudreaux et al. | Aug 2020 | A1 |
20200261086 | Zeiner et al. | Aug 2020 | A1 |
20200261087 | Timm et al. | Aug 2020 | A1 |
20200261088 | Harris et al. | Aug 2020 | A1 |
20200261089 | Shelton, IV et al. | Aug 2020 | A1 |
Number | Date | Country |
---|---|---|
2015201140 | Mar 2015 | AU |
2795323 | May 2014 | CA |
101617950 | Jan 2010 | CN |
104490448 | Mar 2017 | CN |
206097107 | Apr 2017 | CN |
3824913 | Feb 1990 | DE |
4002843 | Apr 1991 | DE |
102005051367 | Apr 2007 | DE |
102016207666 | Nov 2017 | DE |
0000756 | Oct 1981 | EP |
2732772 | May 2014 | EP |
3047806 | Jul 2016 | EP |
3056923 | Aug 2016 | EP |
3095399 | Nov 2016 | EP |
3120781 | Jan 2017 | EP |
3135225 | Mar 2017 | EP |
3141181 | Mar 2017 | EP |
2509523 | Jul 2014 | GB |
S5373315 | Jun 1978 | JP |
2017513561 | Jun 2017 | JP |
20140104587 | Aug 2014 | KR |
101587721 | Jan 2016 | KR |
WO-9734533 | Sep 1997 | WO |
WO-0024322 | May 2000 | WO |
WO-0108578 | Feb 2001 | WO |
WO-0112089 | Feb 2001 | WO |
WO-0120892 | Mar 2001 | WO |
WO-2007137304 | Nov 2007 | WO |
WO-2008056618 | May 2008 | WO |
WO-2008069816 | Jun 2008 | WO |
WO-2008147555 | Dec 2008 | WO |
WO-2011112931 | Sep 2011 | WO |
WO-2013143573 | Oct 2013 | WO |
WO-2014134196 | Sep 2014 | WO |
WO-2015129395 | Sep 2015 | WO |
WO-2016206015 | Dec 2016 | WO |
WO-2017011382 | Jan 2017 | WO |
WO-2017151996 | Sep 2017 | WO |
WO-2017189317 | Nov 2017 | WO |
WO-2017205308 | Nov 2017 | WO |
WO-2017210499 | Dec 2017 | WO |
WO-2017210501 | Dec 2017 | WO |
WO-2018152141 | Aug 2018 | WO |
Entry |
---|
US 10,504,709 B2, 12/2019, Karancsi et al. (withdrawn) |
Flores et al., “Large-scale Offloading in the Internet of Things,” 2017 IEEE International Conference on Pervasive Computing and Communications Workshops (PERCOM Workshops), IEEE, pp. 479-484, Mar. 13, 2017. |
Kalantarian et al., “Computation Offloading for Real-Time Health-Monitoring Devices,” 2016 38th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EBMC), IEEE, pp. 4971-4974, Aug. 16, 2016. |
Yuyi Mao et al., “A Survey on Mobile Edge Computing: The Communication Perspective,” IEEE Communications Surveys & Tutorials, pp. 2322-2358, Jun. 13, 2017. |
Khazaei et al., “Health Informatics for Neonatal Intensive Care Units: An Analytical Modeling Perspective,” IEEE Journal of Translational Engineering in Health and Medicine, vol. 3, pp. 1-9, Oct. 21, 2015. |
Benkmann et al., “Concept of iterative optimization of minimally invasive surgery,” 2017 22nd International Conference on Methods and Models in Automation and Robotics (MMAR), IEEE pp. 443-446, Aug. 28, 2017. |
Trautman, Peter, “Breaking the Human-Robot Deadlock: Surpassing Shared Control Performance Limits with Sparse Human-Robot Interaction,” Robotics: Science and Systems XIIII, pp. 1-10, Jul. 12, 2017. |
Miksch et al., “Utilizing temporal data abstraction for data validation and therapy planning for artificially ventilated newborn infants,” Artificial Intelligence in Medicine, vol. 8, No. 6, pp. 543-576 (1996). |
Horn et al., “Effective data validation of high-frequency data: Time-point-time-interval-, and trend-based methods,” Computers in Biology and Medic, New York, NY, vol. 27, No. 5, pp. 389-409 (1997). |
Stacey et al., “Temporal abstraction in intelligent clinical data analysis: A survey, ” Artificial Intelligence in Medicine, vol. 39, No. 1, pp. 1-24 (2006). |
Yang et al., “A dynamic stategy for packet scheduling and bandwidth allocation based on channel quality in IEEE 802.16e OFDMA system,” Journal of Network and Computer Applications, vol. 39, pp. 52-60, May 2, 2013. |
Takahashi et al., “Automatic smoke evacuation in laparoscopic surgery: a simplified method for objective evaluation,” Surgical Endoscopy, vol. 27, No. 8, pp. 2980-2987, Feb. 23, 2013. |
Zoccali, Bruno, “A Method for Approximating Component Temperatures at Altitude Conditions Based on CFD Analysis at Sea Level Conditions,” (white paper), www.tdmginc.com, Dec. 6, 2018 (9 pages). |
Slocinski et al., “Distance measure for impedance spectra for quantified evaluations,” Lecture Notes on Impedance Spectroscopy, vol. 3, Taylor and Francis Group (Jul. 2012—Book Not Attached. |
Engel et al. “A safe robot system for craniofacial surgery”, 2013 IEEE International Conference on Robotics and Automation (ICRA); May 6-10, 2013; Karlsruhe, Germany, vol. 2, Jan. 1, 2001, pp. 2020-2024. |
Bonaci et al., “To Make a Robot Secure: An Experimental Analysis of Cyber Security Threats Against Teleoperated Surgical Robots,” May 13, 2015. Retrieved from the Internet: URL:https://arxiv.org/pdf/1504.04339v2.pdf [retrieved on Aug. 24, 2019]. |
Homa Alemzadeh et al., “Targeted Attacks on Teleoperated Surgical Robots: Dynamic Model-Based Detection and Mitigation,” 2016 46th Annual IEEE/IFIP International Conference on Dependable Systems and Networks (DSN), IEEE, Jun. 28, 2016, pp. 395-406. |
Phumzile Malindi, “5. QoS in Telemedicine,” “Telemedicine,” Jun. 20, 2011, IntechOpen, pp. 119-138. |
Staub et al., “Contour-based Surgical Instrument Tracking Supported by Kinematic Prediction,” Proceedings of the 2010 3rd IEEE RAS & EMBS International Conference on Biomedical Robotics and Biomechatronics, Sep. 1, 2010, pp. 746-752. |
Allan et al., “3-D Pose Estimation of Articulated Instruments in Robotic Minimally Invasive Surgery,” IEEE Transactions on Medical Imaging, vol. 37, No. 5, May 1, 2018, pp. 1204-1213. |
Kassahun et al., “Surgical Robotics Beyond Enhanced Dexterity Instrumentation: A Survey of the Machine Learning Techniques and their Role in Intelligent and Autonomous Surgical Actions.” International Journal of Computer Assisted Radiology and Surgery, vol. 11, No. 4, Oct. 8, 2015, pp. 553-568. |
Weede et al. “An Intelligent and Autonomous Endoscopic Guidance System for Minimally Invasive Surgery,” 2013 IEEE International Conference on Robotics ad Automation (ICRA), May 6-10, 2013. Karlsruhe, Germany, May 1, 2011, pp. 5762-5768. |
Altenberg et al., “Genes of Glycolysis are Ubiquitously Overexpressed in 24 Cancer Classes,” Genomics, vol. 84, pp. 1014-1020 (2004). |
Harold I. Brandon and V. Leroy Young, Mar. 1997, Surgical Services Management vol. 3 No. 3. retrieved from the internet <https://www.surgimedics.com/Research%20Articles/Electrosurgical%20Plume/Characterization%20And%20Removal%20Of%20Electrosurgical%20Smoke.pdf> (Year: 1997). |
Marshall Brain, How Microcontrollers Work, 2006, retrieved from the internet <https://web.archive.org/web/20060221235221/http://electronics.howstuffworks.com/microcontroller.htm/printable> (Year: 2006). |
CRC Press, “The Measurement, Instrumentation and Sensors Handbook,” 1999, Section VII, Chapter 41, Peter O'Shea, “Phase Measurement,” pp. 1303-1321, ISBN 0-8493-2145-X. |
Jiang, “'Sound of Silence': a secure indoor wireless ultrasonic communication system,” Article, 2014, pp. 46-50, Snapshots of Doctoral Research at University College Cork, School of Engineering—Electrical & Electronic Engineering, UCC, Cork, Ireland. |
Li, et al., “Short-range ultrasonic communications in air using quadrature modulation,” Journal, Oct. 30, 2009, pp. 2060-2072, IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 56, No. 10, IEEE. |
Salamon, “Al Detects Polyps Better Than Colonoscopists” Online Article, Jun. 3, 2018, Medscape Medical News, Digestive Disease Week (DDW) 2018: Presentation 133. |
Misawa, et al. “Artificial Intelligence-Assisted Polyp Detection for Colonoscopy: Initial Experience,” Article, Jun. 2018, pp. 2027-2029, vol. 154, Issue 8, American Gastroenterolgy Association. |
Dottorato, “Analysis and Design of the Rectangular Microstrip Patch Antennas for TM0n0 operating mode,”Article, Oct. 8, 2010, pp. 1-9, Microwave Journal. |
Miller, et al., “Impact of Powered and Tissue-Specific Endoscopic Stapling Technology on Clinical and Economic Outcomes of Video-Assisted Thoracic Surgery Lobectomy Procedures: A Retrospective, Observational Study,” Article, Apr. 2018, pp. 707-723, vol. 35 (Issue 5), Advances in Therapy. |
Hsiao-Wei Tang, “ARCM”, Video, Sep. 2012, YouTube, 5 screenshots, Retrieved from. internet: <https://www.youtube.com/watch?v=UldQaxb3fRw&feature=youtu.be>. |
Giannios, et al., “Visible to near-infrared refractive properties of freshly-excised human-liver tissues: marking hepatic malignancies,” Article, Jun. 14, 2016, pp. 1-10, Scientific Reports 6, Article No. 27910, Nature. |
Vander Heiden, et al., “Understanding the Warburg effect: the metabolic requirements of cell proliferation,” Article, May 22, 2009, pp. 1-12, vol. 324, Issue 5930, Science. |
Hirayama et al., “Quantitative Metabolome Profiling of Colon and Stomach Cancer Microenvironment by Capillary Electrophoresis Time-of-Flight Mass Spectrometry,” Article, Jun. 2009, pp. 4918-4925, vol. 69, Issue 11, Cancer Research. |
Cengiz, et al., “A Tale of Two Compartments: Interstitial Versus Blood Glucose Monitoring,” Article, Jun. 2009, pp. S11-S16, vol. 11, Supplement 1, Diabetes Technology & Therapeutics. |
Shen, et al., “An iridium nanoparticles dispersed carbon based thick film electrochemical biosensor and its application for a single use, disposable glucose biosensor,” Article, Feb. 3, 2007, pp. 106-113, vol. 125, Issue 1, Sensors and Actuators B: Chemical, Science Direct. |
“ATM-MPLS Network Interworking Version 2.0, af-aic-0178.001” ATM Standard, The ATM Forum Technical Committee, published Aug. 2003. |
IEEE Std 802.3-2012 (Revision of IEEE Std 802.3-2008, published Dec. 28, 2012. |
IEEE Std No. 177, “Standard Definitions and Methods of Measurement for Piezoelectric Vibrators,” published May 1966, The Institute of Electrical and Electronics Engineers, Inc., New York, N.Y. |
Shi et al., An intuitive control console for robotic syrgery system, 2014, IEEE, p. 404-407 (Year: 2014). |
Choi et al., A haptic augmented reality surgeon console for a laparoscopic surgery robot system, 2013, IEEE, p. 355-357 (Year: 2013). |
Xie et al., Development of stereo vision and master-slave controller for a compact surgical robot system, 2015, IEEE, p. 403-407 (Year: 2015). |
Sun et al., Innovative effector design for simulation training in robotic surgery, 2010, IEEE, p. 1735-1759 (Year: 2010). |
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20190200998 A1 | Jul 2019 | US |
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