Methods for operating generator for digitally generating electrical signal waveforms and surgical instruments

Information

  • Patent Grant
  • 11766287
  • Patent Number
    11,766,287
  • Date Filed
    Friday, February 28, 2020
    4 years ago
  • Date Issued
    Tuesday, September 26, 2023
    7 months ago
Abstract
Disclosed is a method of generating electrical signal waveforms by a generator. The generator includes a processor and a memory in communication with the processor. The memory defines a first and second table. The processor retrieves information from the first table defined in the memory, where the information is associated with a first wave shape of a first electrical signal waveform for performing a surgical procedure. The processor retrieves information from the second table defined in the memory, where the information is associated with a second wave shape of a second electrical signal waveform for performing a surgical procedure. The processor combines the first and second wave shapes to create a combined wave shape of an electrical signal waveform for performing a surgical procedure and the combined wave shape electrical signal waveform for performing a surgical procedure is delivered to a surgical instrument.
Description
TECHNICAL FIELD

The present disclosure generally relates to ultrasonic surgical systems, electrosurgical systems, and combination electrosurgical/ultrasonic systems for performing surgical procedures such as coagulating, sealing, and/or cutting tissue. In particular, the present disclosure relates to customized algorithms for performing such procedures based on the type of tissue being treated. More particularly, the present disclosure relates to a generator which digitally generates electrical signal waveforms for surgical instruments used to perform such procedures. The digital electrical signal waveforms are stored in a lookup table. The generator digitally generates multiple electrical signal waveforms to drive multiple ultrasonic transducers.


BACKGROUND

Ultrasonic surgical instruments are finding increasingly widespread applications in surgical procedures by virtue of the unique performance characteristics of such instruments. Depending upon specific instrument configurations and operational parameters, ultrasonic surgical instruments can provide substantially simultaneous cutting of tissue and hemostasis by coagulation, desirably minimizing patient trauma. The cutting action is typically realized by an-end effector, or blade tip, at the distal end of the instrument, which transmits ultrasonic energy to tissue brought into contact with the end effector. Ultrasonic instruments of this nature can be configured for open surgical use, laparoscopic, or endoscopic surgical procedures including robotic-assisted procedures.


Some surgical instruments utilize ultrasonic energy for both precise cutting and controlled coagulation. Ultrasonic energy cuts and coagulates by vibrating a blade in contact with tissue. Vibrating at high frequencies (e.g., 55,500 times per second), the ultrasonic blade denatures protein in the tissue to form a sticky coagulum. Pressure exerted on tissue with the blade surface collapses blood vessels and allows the coagulum to form a hemostatic seal. The precision of cutting and coagulation is controlled by the surgeon's technique and adjusting the power level, blade edge, tissue traction, and blade pressure.


Electrosurgical devices for applying electrical energy to tissue in order to treat and/or destroy the tissue are also finding increasingly widespread applications in surgical procedures. An electrosurgical device typically includes a handpiece, an instrument having a distally-mounted end effector (e.g., one or more electrodes). The end effector can be positioned against the tissue such that electrical current is introduced into the tissue. Electrosurgical devices can be configured for bipolar or monopolar operation. During bipolar operation, current is introduced into and returned from the tissue by active and return electrodes, respectively, of the end effector. During monopolar operation, current is introduced into the tissue by an active electrode of the end effector and returned through a return electrode (e.g., a grounding pad) separately located on a patient's body. Heat generated by the current flowing through the tissue may form hemostatic seals within the tissue and/or between tissues and thus may be particularly useful for sealing blood vessels, for example. The end effector of an electrosurgical device also may include a cutting member that is movable relative to the tissue and the electrodes to transect the tissue.


Electrical energy applied by an electrosurgical device can be transmitted to the instrument by a generator in communication with the handpiece. The electrical energy may be in the form of radio frequency (RF) energy that may be in a frequency range described in EN 60601-2-2:2009+A11:2011, Definition 201.3.218—HIGH FREQUENCY. For example, the frequencies in monopolar RF applications are typically restricted to less than 5 MHz. However, in bipolar RF applications, the frequency can be almost anything. Frequencies above 200 kHz can be typically used for MONOPOLAR applications in order to avoid the unwanted stimulation of nerves and muscles which would result from the use of low frequency current. Lower frequencies may be used for BIPOLAR techniques if the RISK ANALYSIS shows the possibility of neuromuscular stimulation has been mitigated to an acceptable level. Normally, frequencies above 5 MHz are not used in order to minimize the problems associated with HIGH FREQUENCY LEAKAGE CURRENTS. However, higher frequencies may be used in the case of BIPOLAR techniques. It is generally recognized that 10 mA is the lower threshold of thermal effects on tissue.


In application, an electrosurgical device can transmit low frequency RF energy through tissue, which causes ionic agitation, or friction, in effect resistive heating, thereby increasing the temperature of the tissue. Because a sharp boundary is created between the affected tissue and the surrounding tissue, surgeons can operate with a high level of precision and control, without sacrificing un-targeted adjacent tissue. The low operating temperatures of RF energy is useful for removing, shrinking, or sculpting soft tissue while simultaneously sealing blood vessels. RF energy works particularly well on connective tissue, which is primarily comprised of collagen and shrinks when contacted by heat.


Other electrical surgical instruments include, without limitation, irreversible and/or reversible electroporation, and/or microwave technologies, among others. Accordingly, the techniques disclosed herein are applicable to ultrasonic, bipolar or monopolar RF (electrosurgical), irreversible and/or reversible electroporation, and/or microwave based surgical instruments, among others.


A challenge of using these medical devices is the inability to control and customize the power output depending on the type of tissue being treated by the devices. It would be desirable to provide a surgical instrument that overcomes some of the deficiencies of current instruments. The surgical system described herein overcomes those deficiencies.


As disclosed herein, a generator may be configured to generate an output waveform digitally and provide it to a surgical instrument such that the surgical instrument may utilize the waveform for various tissue effects. The present disclosure provides for generator capabilities that promote tissue effects via wave-shaping and that drive RF and Ultrasonic energy simultaneously to a single surgical instrument or multiple surgical instruments.


Conventional generators for ultrasonic surgical instruments are configured to drive a single ultrasonic transducer. Shortcomings of such conventional ultrasonic generators is the inability to drive multiple ultrasonic transducers in one or more instruments simultaneously. Other shortcomings include the inability of ultrasonic generators to drive multiple vibration modes in one instrument to achieve longer active length at the tip of an ultrasonic blade to provide various tissue effects.


SUMMARY

As disclosed herein, a generator may be configured to generate an output waveform digitally and provide it to a surgical instrument such that the surgical instrument may utilize the waveform for various tissue effects. The present disclosure provides for generator capabilities that promote tissue effects via wave-shaping and that drive RF and Ultrasonic energy simultaneously to a single surgical instrument or multiple surgical instruments. The present disclosure also provides a generator configured to generate wave-shaping to protect electrical output components of the generator when driving simultaneous RF and Ultrasonic waveforms.


In one aspect, a method of generating electrical signal waveforms by a generator is provided. The generator comprises a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit. The memory circuit defines a lookup table. The method comprises storing, by the digital processing circuit, phase points of a digital electrical signal waveform in the lookup table defined by the memory circuit, wherein the digital electrical signal waveform is represented by a predetermined number of phase points, wherein the predetermined number phase points define a predetermined wave shape; receiving a clock signal by the digital synthesis circuit, and at each clock cycle: retrieving, by the digital processing circuit, a phase point from the lookup table; and converting, by the DAC circuit, the retrieved phase point to an analog signal.


In another aspect, a method of generating electrical signal waveforms by a generator is provided. The generator comprises a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, where the memory circuit defines first and second lookup tables. The method comprises storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; receiving, by the digital synthesis circuit, a clock signal, and at each clock cycle: retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; and determining, by the digital processing circuit, whether to switch between the phase points of the first and second electrical signal waveforms or to synchronize the phase points of the first and second electrical signal waveforms.


In yet another a generator for generating electrical signal waveforms is provided. The generator comprises a digital processing circuit; a memory circuit in communication with the digital processing circuit, the memory circuit defining a lookup table; a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, the digital synthesis circuit receiving a clock signal; and a digital-to-analog converter (DAC) circuit. The digital processing circuit configured to store phase points of a digital electrical signal waveform in the lookup table defined by the memory circuit, wherein the digital electrical signal waveform is represented by a predetermined number of phase points, wherein the predetermined number phase points define a predetermined wave shape; and retrieve a phase point from the lookup table at each clock cycle; and the DAC circuit configured to convert the retrieved phase point to an analog signal.


In one aspect, a method of generating electrical signal waveforms by a generator is provided. The generator comprises a digital processing circuit, a memory circuit in communication with the digital processing circuit, the memory circuit defining first and second lookup tables, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC). The method comprises storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; and receiving a clock signal by the digital synthesis circuit, and at each clock cycle retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; combining, by the digital processing circuit, the phase point from the first lookup table with the phase point from the second lookup table to generate a combined phase point; and converting, by the DAC circuit, the combined phase point into an analog signal; wherein the analog signal is configured to drive a first and second ultrasonic transducer.


In another aspect, a method of generating electrical signal waveforms by a generator is provided. The generator comprises a digital processing circuit, a memory circuit in communication with the digital processing circuit, the memory circuit defining first and second lookup tables, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit. The method comprises storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; and receiving a clock signal by the digital synthesis circuit, and at each clock cycle retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; combining, by the digital processing circuit, the phase point from the first lookup table with the phase point from the second lookup table to generate a combined phase point; and converting, by the DAC circuit, the combined phase point into an analog signal; wherein the analog signal is configured to drive a plurality of ultrasonic operational modes of an ultrasonic device.


In yet another a generator for generating electrical signal waveforms is provided. The generator comprises a digital processing circuit; a memory circuit in communication with the digital processing circuit, the memory circuit defining a lookup table; a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, the digital synthesis circuit receiving a clock signal; and a digital-to-analog converter (DAC) circuit; the digital processing circuit configured to: store phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; and store phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; at each clock cycle the digital synthesis circuit is configured to: retrieve a phase point from the first lookup table; retrieve a phase point from the second lookup table; the digital processing circuit configured to: combine the phase point from the first lookup table with the phase point from the second lookup table to generate a combined phase point; and the DAC circuit is configured to convert the combined phase point into an analog signal; wherein the analog signal is configured to drive a first and second ultrasonic transducer.


In one aspect, a method of generating electrical signal waveforms by a generator is provided. The generator comprises a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the memory circuit defining first and second lookup tables, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; receiving, by the digital synthesis circuit, a clock signal, and at each clock cycle; retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; combining, by the digital processing circuit, the first and second digital electrical signal waveforms to form a combined digital electrical signal waveform; and modifying, by the digital processing circuit, the combined digital electrical signal waveform to form a modified digital electrical signal waveform, wherein a peak amplitude of the modified digital electrical signal waveform does not exceed a predetermined amplitude value.


In another aspect, a method of generating electrical signal waveforms by a generator is provided. The generator comprises a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the memory circuit defining first and second lookup tables, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape, wherein the second digital electrical signal waveform is a function of the first digital electrical signal waveform; receiving, by the digital synthesis circuit, a clock signal, and at each clock cycle; retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; combining, by the digital processing circuit, the first and second digital electrical signal waveforms to form a combined digital electrical signal waveform; and modifying, by the digital processing circuit, the combined digital electrical signal waveform to form a modified digital electrical signal waveform, wherein a peak amplitude of the modified digital electrical signal waveform does not exceed a predetermined amplitude value.


In yet another a generator for generating electrical signal waveforms is provided. The generator comprises a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the memory circuit defining first and second lookup tables, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape, wherein the second digital electrical signal waveform is a function of the first digital electrical signal waveform; receiving, by the digital synthesis circuit, a clock signal, and at each clock cycle; retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; modifying, by the digital processing circuit, a frequency of the first digital electrical signal waveform to form a frequency modified first digital electrical signal waveform; and combining, by the digital processing circuit, the frequency modified first digital electrical signal waveform and the second digital electrical signal waveform to form a combined digital electrical signal waveform.





FIGURES

The novel features of the described forms are set forth with particularity in the appended claims. The described forms, however, both as to organization and methods of operation, may be best understood by reference to the following description, taken in conjunction with the accompanying drawings in which:



FIG. 1 illustrates one form of a surgical system comprising a generator and various surgical instruments usable therewith;



FIG. 2 is a diagram of the combination electrosurgical and ultrasonic instrument shown in FIG. 1;



FIG. 3 is a diagram of the surgical system shown in FIG. 1;



FIG. 4 is a model illustrating motional branch current in one form;



FIG. 5 is a structural view of a generator architecture in one form;



FIG. 6 illustrates one form of a drive system of a generator, which creates the ultrasonic electrical signal for driving an ultrasonic transducer;



FIG. 7 illustrates one form of a drive system of a generator comprising a tissue impedance module;



FIG. 8 illustrates an example of a combined RF and ultrasonic energy generator for delivering energy to a surgical instrument;



FIG. 9 is a diagram of a system for delivering combined RF and ultrasonic energy to a plurality of surgical instruments;



FIG. 10 illustrates a communications architecture of a system for delivering combined RF and ultrasonic energy to a plurality of surgical instruments;



FIG. 11 illustrates a communications architecture of a system for delivering combined RF and ultrasonic energy to a plurality of surgical instruments;



FIG. 12 illustrates a communications architecture of a system for delivering combined RF and ultrasonic energy to a plurality of surgical instruments;



FIG. 13 is a diagram of one form of a direct digital synthesis circuit;



FIG. 14 is a diagram of one form of a direct digital synthesis circuit;



FIG. 15 is an example graph of two waveforms of energy from a generator;



FIG. 16 is an example graph of the sum of the waveforms of FIG. 15;



FIG. 17 is an example graph of sum of the waveforms of FIG. 15 with the RF waveform dependent on the ultrasonic waveform;



FIG. 18 is an example graph of the sum of the waveforms of FIG. 15 with the RF waveform being a function of the ultrasonic waveform;



FIG. 19 is an example graph of a complex RF waveform;



FIG. 20 illustrates one cycle of a digital electrical signal waveform shown in FIG. 18;



FIG. 21 is a logic flow diagram of a method of generating a digital electrical signal waveform according to one aspect;



FIG. 22 is a logic flow diagram of a method of generating a digital electrical signal waveform according to another aspect; and



FIG. 23 is a logic flow diagram of a method of generating a digital electrical signal waveform according to another aspect.



FIG. 24 is an example graph of two ultrasonic waveforms of energy produced by a generator;



FIG. 25 is an example graph of the sum of the two ultrasonic waveforms of FIG. 24;



FIG. 26 is an example graph of sum of the waveforms of FIG. 24 with the higher frequency ultrasonic waveform dependent on the lower frequency ultrasonic waveform;



FIG. 27 is an example graph of the sum of the waveforms of FIG. 24 with the higher frequency ultrasonic waveform being a function of the lower frequency ultrasonic waveform;



FIG. 28 is an example graph of a complex ultrasonic waveform;



FIG. 29 illustrates one cycle of a digital electrical signal waveform shown in FIG. 27;



FIG. 30 is a logic flow diagram of a method of generating a digital electrical signal waveform according to one aspect; and



FIG. 31 is a logic flow diagram of a method of generating a digital electrical signal waveform according to one aspect.



FIG. 32 is a logic flow diagram of a method of generating an electrical signal waveform configured to drive a surgical instrument and to protect output components of a generator according to one aspect;



FIG. 33 is a logic flow diagram of a method of generating a electrical signal waveform configured to drive a surgical instrument and to protect output components of a generator according to another aspect; and



FIG. 34 is a logic flow diagram of a method of generating a digital electrical signal waveform configured to drive a surgical instrument and to protect output components of a generator according to another aspect.





DESCRIPTION

Before explaining various forms of surgical instruments in detail, it should be noted that the illustrative forms 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 forms may be implemented or incorporated in other forms, 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 forms for the convenience of the reader and are not for the purpose of limitation thereof.


Further, it is understood that any one or more of the following-described forms, expressions of forms, examples, can be combined with any one or more of the other following-described forms, expressions of forms, and examples.


Various forms are directed to improved ultrasonic and/or RF electrosurgical instruments configured for effecting tissue dissecting, cutting, and/or coagulation during surgical procedures. In one form, an ultrasonic and/or RF electrosurgical instruments may be configured for use in open surgical procedures, but has applications in other types of surgery, such as laparoscopic, endoscopic, and robotic-assisted procedures. Versatile use is facilitated by selective use of ultrasonic energy.


This application is related to the following commonly owned patent application filed Sep. 14, 2016:


U.S. patent application Ser. No. 15/265,293, titled TECHNIQUES FOR CIRCUIT TOPOLOGIES FOR COMBINED GENERATOR, by Wiener et al., now U.S. Patent Application Publication No. 2017/0086910.


This application also is related to the following commonly owned patent applications filed on Sep. 7, 2016:


U.S. patent application Ser. No. 15/258,570, titled CIRCUIT TOPOLOGIES FOR COMBINED GENERATOR, by Wiener et al., now U.S. Patent Application Publication No. 2017/0086908;


U.S. patent application Ser. No. 15/258,578, titled CIRCUITS FOR SUPPLYING ISOLATED DIRECT CURRENT (DC) VOLTAGE TO SURGICAL INSTRUMENTS, by Wiener et al., now U.S. Patent Application Publication No. 2017/0086911;


U.S. patent application Ser. No. 15/258,586, titled FREQUENCY AGILE GENERATOR FOR A SURGICAL INSTRUMENT, by Yates et al., now U.S. Patent Application Publication No. 2017/0086909;


U.S. patent application Ser. No. 15/258,598, titled METHOD AND APPARATUS FOR SELECTING OPERATIONS OF A SURGICAL INSTRUMENT BASED ON USER INTENTION, by Asher et al., now U.S. Patent Application Publication No. 2017/0086876;


U.S. patent application Ser. No. 15/258,569, titled GENERATOR FOR DIGITALLY GENERATING ELECTRICAL SIGNAL WAVEFORMS FOR ELECTROSURGICAL AND ULTRASONIC SURGICAL INSTRUMENTS, by Wiener et al., now U.S. Pat. No. 10,194,973;


U.S. patent application Ser. No. 15/258,611, titled GENERATOR FOR DIGITALLY GENERATING COMBINED ELECTRICAL SIGNAL WAVEFORMS FOR ULTRASONIC SURGICAL INSTRUMENTS, by Wiener et al., now U.S. Patent Application Publication No. 2017/0086912;


U.S. patent application Ser. No. 15/258,650, titled PROTECTION TECHNIQUES FOR GENERATOR FOR DIGITALLY GENERATING ELECTROSURGICAL AND ULTRASONIC DIGITAL ELECTRICAL SIGNAL WAVEFORMS, by Yates et al., now U.S. Patent Application Publication No. 2017/0086913;


each of which is incorporated herein by reference in its entirety.


This application also is related to the following commonly owned patent applications filed on Jun. 9, 2016:


U.S. patent application Ser. No. 15/177,430, titled SURGICAL INSTRUMENT WITH USER ADAPTABLE TECHNIQUES, now U.S. Patent Application Publication No. 2017/0000541;


U.S. patent application Ser. No. 15/177,439, titled SURGICAL INSTRUMENT WITH USER ADAPTABLE TECHNIQUES BASED ON TISSUE TYPE, now U.S. Patent Application Publication No. 2017/0000516;


U.S. patent application Ser. No. 15/177,449, titled SURGICAL SYSTEM WITH USER ADAPTABLE TECHNIQUES EMPLOYING MULTIPLE ENERGY MODALITIES BASED ON TISSUE, now U.S. Patent Application Publication No. 2017/0000553;


U.S. patent application Ser. No. 15/177,456, titled SURGICAL SYSTEM WITH USER ADAPTABLE TECHNIQUES BASED ON TISSUE IMPEDANCE, now U.S. Patent Application Publication No. 2017/0000542;


U.S. patent application Ser. No. 15/177,466, titled SURGICAL SYSTEM WITH USER ADAPTABLE TECHNIQUES EMPLOYING SIMULTANEOUS ENERGY MODALITIES BASED ON TISSUE PARAMETERS, now U.S. Patent Application Publication No. 2017/0000554;


each of which is incorporated herein by reference in its entirety.


The various forms will be described in combination with an ultrasonic instrument as described herein. Such description is provided by way of example, and not limitation, and is not intended to limit the scope and applications thereof. For example, any one of the described forms is useful in combination with a multitude of ultrasonic instruments including those described in, for example, U.S. Pat. Nos. 5,938,633; 5,935,144; 5,944,737; 5,322,055; 5,630,420; and 5,449,370, which are each incorporated by reference herein in their entirety.


As will become apparent from the following description, it is contemplated that forms of the surgical instruments described herein may be used in association with an oscillator unit of a surgical system, whereby ultrasonic energy from the oscillator unit provides the desired ultrasonic actuation for the present surgical instrument. It is also contemplated that forms of the surgical instrument described herein may be used in association with a signal generator unit of a surgical system, whereby RF electrical energy, for example, is used to provide feedback to the user regarding the surgical instrument. The ultrasonic oscillator and/or the signal generator unit may be non-detachably integrated with the surgical instrument or may be provided as separate components, which can be electrically attachable to the surgical instrument.


One form of the present surgical apparatus is particularly configured for disposable use by virtue of its straightforward construction. However, it is also contemplated that other forms of the present surgical instrument can be configured for non-disposable or multiple uses. Detachable connection of the present surgical instrument with an associated oscillator and signal generator unit is presently disclosed for single-patient use for illustrative purposes only. However, non-detachable integrated connection of the present surgical instrument with an associated oscillator and/or signal generator unit is also contemplated. Accordingly, various forms of the presently described surgical instruments may be configured for single use and/or multiple use with either detachable and/or non-detachable integral oscillator and/or signal generator unit, without limitation, and all combinations of such configurations are contemplated to be within the scope of the present disclosure.


In one aspect, the desired wave shape may be digitized by 1024 phase points, which are stored in a table, such as, for example, a direct digital synthesis table with a field programmable gate array (FPGA) of the generator. The generator software and digital controls command the FPGA to scan the addresses in this table at the frequency of interest which in turn provides varying digital input values to a DAC circuit that feeds to power amplifier. This method enables generating practically any (or many) types of wave shapes fed into tissue. Furthermore, multiple wave shape tables can be created, stored and applied to tissue.


According to various aspects, a method comprises creating various types of lookup tables in memory such as lookup tables generated by direct digital synthesis (DDS) circuit and stored within FPGAs, for example. Waveforms may be stored in the DDS table or tables as particular wave shapes. Examples of wave shapes in the RF/Electrosurgery tissue treatment field include high crest factor RF signals, which may be used for surface coagulation in an RF mode, for example, low crest factor RF signals, which may be used for deeper penetration into tissue in an RF mode, for example, and waveforms that promote efficient touch-up coagulation, for example. In one aspect, the crest factor (CF) may be defined as the ratio of the peak signal to the root-mean-square (RMS) signal.


The present disclosure provides for the creation of multiple wave shape tables that allow for switching on the fly, either manually or automatically, between the wave shapes based on tissue effect desired. Switching could be based on tissue parameters, such as, for example, tissue impedance and/or other factors. In addition to a traditional sine wave shape, in one aspect a generator may be configured to provide a wave shape that maximizes the power into tissue per cycle. According to one aspect, the wave shape may be a trapezoid wave, a sine or cosine wave, a square wave, a triangle wave, or any combination thereof. In one aspect, a generator may be configured to provide a wave shape or shapes that are synchronized in such way that they make maximizing power delivery in the case that both RF and ultrasonic energy modalities are driven, either simultaneously or sequentially. In one aspect, a generator may be configured to provide a waveform that drives both ultrasonic and RF therapeutic energy simultaneously while maintaining ultrasonic frequency lock. In one aspect, the generator may contain or be associated with a device that provides a circuit topology that enables simultaneously driving RF and ultrasonic energy. In one aspect, a generator may be configured to provide custom wave shapes that are specific to a surgical instrument and the tissue effects provided by such a surgical instrument. Furthermore, the waveforms may be stored in a generator non-volatile memory or in an instrument memory, such as, for example, an electrically erasable programmable read-only memory (EEPROM). The waveform or waveforms may be fetched upon instrument connection to a generator.


With reference to FIGS. 1-5, one form of a surgical system 10 including a surgical instrument is illustrated. FIG. 1 illustrates one form of a surgical system 10 comprising a generator 100 and various surgical instruments 104, 106, 108 usable therewith, where the surgical instrument 104 is an ultrasonic surgical instrument, the surgical instrument 106 is an RF electrosurgical instrument 106, and the multifunction surgical instrument 108 is a combination ultrasonic/RF electrosurgical instrument. FIG. 2 is a diagram of the multifunction surgical instrument 108 shown in FIG. 1. With reference to both FIGS. 1 and 2, the generator 100 is configurable for use with a variety of surgical instruments.


According to various forms, the generator 100 may be configurable for use with different surgical instruments of different types including, for example, ultrasonic surgical instruments 104, RF electrosurgical instruments 106, and multifunction surgical instruments 108 that integrate RF and ultrasonic energies delivered simultaneously from the generator 100. Although in the form of FIG. 1, the generator 100 is shown separate from the surgical instruments 104, 106, 108 in one form, the generator 100 may be formed integrally with any of the surgical instruments 104, 106, 108 to form a unitary surgical system. The generator 100 comprises an input device 110 located on a front panel of the generator 100 console. The input device 110 may comprise any suitable device that generates signals suitable for programming the operation of the generator 100.



FIG. 1 illustrates a generator 100 configured to drive multiple surgical instruments 104, 106, 108. The first surgical instrument 104 is an ultrasonic surgical instrument 104 and comprises a handpiece 105 (HP), an ultrasonic transducer 120, a shaft 126, and an end effector 122. The end effector 122 comprises an ultrasonic blade 128 acoustically coupled to the ultrasonic transducer 120 and a clamp arm 140. The handpiece 105 comprises a trigger 143 to operate the clamp arm 140 and a combination of the toggle buttons 134a, 134b, 134c to energize and drive the ultrasonic blade 128 or other function. The toggle buttons 134a, 134b, 134c can be configured to energize the ultrasonic transducer 120 with the generator 100.


Still with reference to FIG. 1, the generator 100 also is configured to drive a second surgical instrument 106. The second surgical instrument 106 is an RF electrosurgical instrument and comprises a handpiece 107 (HP), a shaft 127, and an end effector 124. The end effector 124 comprises electrodes in the clamp arms 142a, 142b and return through an electrical conductor portion of the shaft 127. The electrodes are coupled to and energized by a bipolar energy source within the generator 100. The handpiece 107 comprises a trigger 145 to operate the clamp arms 142a, 142b and an energy button 135 to actuate an energy switch to energize the electrodes in the end effector 124.


Still with reference to FIG. 1, the generator 100 also is configured to drive a multifunction surgical instrument 108. The multifunction surgical instrument 108 comprises a handpiece 109 (HP), a shaft 129, and an end effector 125. The end effector comprises an ultrasonic blade 149 and a clamp arm 146. The ultrasonic blade 149 is acoustically coupled to the ultrasonic transducer 120. The handpiece 109 comprises a trigger 147 to operate the clamp arm 146 and a combination of the toggle buttons 137a, 137b, 137c to energize and drive the ultrasonic blade 149 or other function. The toggle buttons 137a, 137b, 137c can be configured to energize the ultrasonic transducer 120 with the generator 100 and energize the ultrasonic blade 149 with a bipolar energy source also contained within the generator 100.


With reference to both FIGS. 1 and 2, the generator 100 is configurable for use with a variety of surgical instruments. According to various forms, the generator 100 may be configurable for use with different surgical instruments of different types including, for example, the ultrasonic surgical instrument 104, the RF electrosurgical instrument 106, and the multifunction surgical instrument 108 that integrate RF and ultrasonic energies delivered simultaneously from the generator 100. Although in the form of FIG. 1, the generator 100 is shown separate from the surgical instruments 104, 106, 108, in one form, the generator 100 may be formed integrally with any one of the surgical instruments 104, 106, 108 to form a unitary surgical system. The generator 100 comprises an input device 110 located on a front panel of the generator 100 console. The input device 110 may comprise any suitable device that generates signals suitable for programming the operation of the generator 100. The generator 100 also may comprise one or more output devices 112.


With reference now to FIG. 2, the generator 100 is coupled to the multifunction surgical instrument 108. The generator 100 is coupled to the ultrasonic transducer 120 and electrodes located in the clamp arm 146 via a cable 144. The ultrasonic transducer 120 and a waveguide extending through a shaft 129 (waveguide not shown in FIG. 2) may collectively form an ultrasonic drive system driving an ultrasonic blade 149 of an end effector 125. The end effector 125 further may comprise a clamp arm 146 to clamp tissue located between the clamp arm 146 and the ultrasonic blade 149. The clamp arm 146 comprises one or more than one an electrode coupled to the a pole of the generator 100 (e.g., a positive pole). The ultrasonic blade 149 forms the second pole (e.g., the negative pole) and is also coupled to the generator 100. RF energy is applied to the electrode(s) in the clamp arm 146, through the tissue located between the clamp arm 146 and the ultrasonic blade 149, and through the ultrasonic blade 149 back to the generator 100 via the cable 144. In one form, the generator 100 may be configured to produce a drive signal of a particular voltage, current, and/or frequency output signal that can be varied or otherwise modified with high resolution, accuracy, and repeatability suitable for driving an ultrasonic transducer 120 and applying RF energy to tissue.


Still with reference to FIG. 2, It will be appreciated that the multifunction surgical instrument 108 may comprise any combination of the toggle buttons 137a, 137b, 134c. For example, the multifunction surgical instrument 108 could be configured to have only two toggle buttons: a toggle button 137a for producing maximum ultrasonic energy output and a toggle button 137b for producing a pulsed output at either the maximum or less than maximum power level. In this way, the drive signal output configuration of the generator 100 could be 5 continuous signals and 5 or 4 or 3 or 2 or 1 pulsed signals. In certain forms, the specific drive signal configuration may be controlled based upon, for example, EEPROM settings in the generator 100 and/or user power level selection(s).


In certain forms, a two-position switch may be provided as an alternative to a toggle button 137c. For example, the multifunction surgical instrument 108 may include a toggle button 137a for producing a continuous output at a maximum power level and a two-position toggle button 137b. In a first detented position, toggle button 137b may produce a continuous output at a less than maximum power level, and in a second detented position the toggle button 137b may produce a pulsed output (e.g., at either a maximum or less than maximum power level, depending upon the EEPROM settings). Any one of the buttons 137a, 137b, 137c may be configured to activate RF energy and apply the RF energy to the end effector 125.


Still with reference to FIG. 2, forms of the generator 100 may enable communication with instrument-based data circuits. For example, the generator 100 may be configured to communicate with a first data circuit 136 and/or a second data circuit 138. For example, the first data circuit 136 may indicate a burn-in frequency slope, as described herein. Additionally or alternatively, any type of information may be communicated to second data circuit for storage therein via a data circuit interface (e.g., using a logic device). Such information may comprise, for example, an updated number of operations in which the instrument has been used and/or dates and/or times of its usage. In certain forms, the second data circuit may transmit data acquired by one or more sensors (e.g., an instrument-based temperature sensor). In certain forms, the second data circuit may receive data from the generator 100 and provide an indication to a user (e.g., a light emitting diode (LED) indication or other visible indication) based on the received data. The second data circuit 138 contained in the multifunction surgical instrument 108. In some forms, the second data circuit 138 may be implemented in a many similar to that of the first data circuit 136 described herein. An instrument interface circuit may comprise a second data circuit interface to enable this communication. In one form, the second data circuit interface may comprise a tri-state digital interface, although other interfaces also may be used. In certain forms, the second data circuit may generally be any circuit for transmitting and/or receiving data. In one form, for example, the second data circuit may store information pertaining to the particular surgical instrument 104, 106, 108 with which it is associated. Such information may include, for example, a model number, a serial number, a number of operations in which the surgical instrument 104, 106, 108 has been used, and/or any other type of information. In the example of FIG. 2, the second data circuit 138 may store information about the electrical and/or ultrasonic properties of an associated ultrasonic transducer 120, end effector 125, ultrasonic energy drive system, or RF electrosurgical energy drive system. Various processes and techniques described herein may be executed by a generator. It will be appreciated, however, that in certain example forms, all or a part of these processes and techniques may be performed by internal logic 139 located in the multifunction surgical instrument 108.



FIG. 3 is a diagram of the surgical system 10 of FIG. 1. In various forms, the generator 100 may comprise several separate functional elements, such as modules and/or blocks. Different functional elements or modules may be configured for driving the different kinds of surgical instruments 104, 106, 108. For example, an ultrasonic drive circuit 114 may drive ultrasonic devices such as the surgical instrument 104 via a cable 141. An electrosurgery/RF drive circuit 116 may drive the RF electrosurgical instrument 106 via a cable 133. The respective drive circuits 114, 116, 118 may be combined as a combined RF/ultrasonic drive circuit 118 to generate both respective drive signals for driving multifunction surgical instruments 108 via a cable 144. In various forms, the ultrasonic drive circuit 114 and/or the electrosurgery/RF drive circuit 116 each may be formed integrally or externally with the generator 100. Alternatively, one or more of the drive circuits 114, 116, 118 may be provided as a separate circuit module electrically coupled to the generator 100. (The drive circuits 114, 116, 118 are shown in phantom to illustrate this option.) Also, in some forms, the electrosurgery/RF drive circuit 116 may be formed integrally with the ultrasonic drive circuit 114, or vice versa. Also, in some forms, the generator 100 may be omitted entirely and the drive circuits 114, 116, 118 may be executed by processors or other hardware within the respective surgical instruments 104, 106, 108.


In other forms, the electrical outputs of the ultrasonic drive circuit 114 and the electrosurgery/RF drive circuit 116 may be combined into a single electrical signal capable of driving the multifunction surgical instrument 108 simultaneously with electrosurgical RF and ultrasonic energies. This single electrical drive signal may be produced by the combination drive circuit 118. The multifunction surgical instrument 108 comprises an ultrasonic transducer 120 coupled to an ultrasonic blade and one or more electrodes in the end effector 125 to receive ultrasonic and electrosurgical RF energy. The multifunction surgical instrument 108 comprises signal processing components to split the combined RF/ultrasonic energy signal such that the RF signal can be delivered to the electrodes in the end effector 125 and the ultrasonic signal can be delivered to the ultrasonic transducer 120.


In accordance with the described forms, the ultrasonic drive circuit 114 may produce a drive signal or signals of particular voltages, currents, and frequencies, e.g., 55,500 cycles per second (Hz). The drive signal or signals may be provided to the ultrasonic surgical instrument 104, and specifically to the ultrasonic transducer 120, which may operate, for example, as described above. The ultrasonic transducer 120 and a waveguide extending through the shaft 126 (waveguide not shown) may collectively form an ultrasonic drive system driving an ultrasonic blade 128 of an end effector 122. In one form, the generator 100 may be configured to produce a drive signal of a particular voltage, current, and/or frequency output signal that can be stepped or otherwise modified with high resolution, accuracy, and repeatability.


The generator 100 may be activated to provide the drive signal to the ultrasonic transducer 120 in any suitable manner. For example, the generator 100 may comprise a foot switch 130 coupled to the generator 100 via a foot switch cable 132. A clinician may activate the ultrasonic transducer 120 by depressing the foot switch 130. In addition, or instead of the foot switch 130 some forms of the ultrasonic surgical instrument 104 may utilize one or more switches positioned on the handpiece that, when activated, may cause the generator 100 to activate the ultrasonic transducer 120. In one form, for example, the one or more switches may comprise a pair of toggle buttons 137a, 137b (FIG. 2), for example, to determine an operating mode of the ultrasonic surgical instrument 104. When the toggle button 137a is depressed, for example, the generator 100 may provide a maximum drive signal to the ultrasonic transducer 120, causing it to produce maximum ultrasonic energy output. Depressing toggle button 137b may cause the generator 100 to provide a user-selectable drive signal to the ultrasonic transducer 120, causing it to produce less than the maximum ultrasonic energy output.


Additionally or alternatively, the one or more switches may comprise a toggle button 137c that, when depressed, causes the generator 100 to provide a pulsed output. The pulses may be provided at any suitable frequency and grouping, for example. In certain forms, the power level of the pulses may be the power levels associated with toggle buttons 137a, 137b (maximum, less than maximum), for example.


It will be appreciated that the ultrasonic surgical instrument 104 and/or the multifunction surgical instrument 108 may comprise any combination of the toggle buttons 137a, 137b, 137c. For example, the multifunction surgical instrument 108 could be configured to have only two toggle buttons: a toggle button 137a for producing maximum ultrasonic energy output and a toggle button 137c for producing a pulsed output at either the maximum or less than maximum power level. In this way, the drive signal output configuration of the generator 100 could be 5 continuous signals and 5 or 4 or 3 or 2 or 1 pulsed signals. In certain forms, the specific drive signal configuration may be controlled based upon, for example, EEPROM settings in the generator 100 and/or user power level selection(s).


In certain forms, a two-position switch may be provided as an alternative to a toggle button 137c. For example, the ultrasonic surgical instrument 104 may include a toggle button 137a for producing a continuous output at a maximum power level and a two-position toggle button 137b. In a first detented position, toggle button 137b may produce a continuous output at a less than maximum power level, and in a second detented position the toggle button 137b may produce a pulsed output (e.g., at either a maximum or less than maximum power level, depending upon the EEPROM settings).


In accordance with the described forms, the electrosurgery/RF drive circuit 116 may generate a drive signal or signals with output power sufficient to perform bipolar electrosurgery using RF energy. In bipolar electrosurgery applications, the drive signal may be provided, for example, to electrodes located in the end effector 124 of the RF electrosurgical instrument 106, for example. Accordingly, the generator 100 may be configured for therapeutic purposes by applying electrical energy to the tissue sufficient for treating the tissue (e.g., coagulation, cauterization, tissue welding). The generator 100 may be configured for sub-therapeutic purposes by applying electrical energy to the tissue for monitoring parameters of the tissue during a procedure.


As previously discussed, the combination drive circuit 118 may be configured to drive both ultrasonic and RF electrosurgical energies. The ultrasonic and RF electrosurgical energies may be delivered though separate output ports of the generator 100 as separate signals or though a single port of the generator 100 as a single signal that is a combination of the ultrasonic and RF electrosurgical energies. In the latter case, the single signal can be separated by circuits located in the surgical instruments 104, 106, 108.


The surgical instruments 104, 106, 108 additionally or alternatively may comprise a switch to indicate a position of a jaw closure trigger for operating jaws of the end effector 122, 124, 125. Also, in some forms, the generator 100 may be activated based on the position of the jaw closure trigger, (e.g., as the clinician depresses the jaw closure trigger to close the jaws, ultrasonic energy may be applied).


The generator 100 may comprise an input device 110 (FIG. 1) located, for example, on a front panel of the generator 100 console. The input device 110 may comprise any suitable device that generates signals suitable for programming the operation of the generator 100. In operation, the user can program or otherwise control operation of the generator 100 using the input device 110. The input device 110 may comprise any suitable device that generates signals that can be used by the generator (e.g., by one or more processors contained in the generator) to control the operation of the generator 100 (e.g., operation of the ultrasonic drive circuit 114, electrosurgery/RF drive circuit 116, combined RF/ultrasonic drive circuit 118). In various forms, the input device 110 includes one or more of buttons, switches, thumbwheels, keyboard, keypad, touch screen monitor, pointing device, remote connection to a general purpose or dedicated computer. In other forms, the input device 110 may comprise a suitable user interface, such as one or more user interface screens displayed on a touch screen monitor, for example. Accordingly, by way of the input device 110, the user can set or program various operating parameters of the generator, such as, for example, current (I), voltage (V), frequency (f), and/or period (T) of a drive signal or signals generated by the ultrasonic drive circuit 114 and/or electrosurgery/RF drive circuit 116.


The generator 100 also may comprise an output device 112 (FIG. 1), such as an output indicator, located, for example, on a front panel of the generator 100 console. The output device 112 includes one or more devices for providing a sensory feedback to a user. Such devices may comprise, for example, visual feedback devices (e.g., a visual feedback device may comprise incandescent lamps, LEDs, graphical user interface, display, analog indicator, digital indicator, bar graph display, digital alphanumeric display, liquid crystal display (LCD) screen, light emitting diode (LED) indicators), audio feedback devices (e.g., an audio feedback device may comprise speaker, buzzer, audible, computer generated tone, computerized speech, voice user interface (VUI) to interact with computers through a voice/speech platform), or tactile feedback devices (e.g., a tactile feedback device comprises any type of vibratory feedback, haptic actuator).


Although certain modules and/or blocks of the generator 100 may be described by way of example, it can be appreciated that a greater or lesser number of modules and/or blocks may be used and still fall within the scope of the forms. Further, although various forms may be described in terms of modules and/or blocks to facilitate description, such modules and/or blocks may be implemented by one or more hardware components, e.g., processors, Digital Signal Processors (DSPs), Programmable Logic Devices (PLDs), Application Specific Integrated Circuits (ASICs), circuits, registers and/or software components, e.g., programs, subroutines, logic and/or combinations of hardware and software components. Also, in some forms, the various modules described herein may be implemented utilizing similar hardware positioned within the surgical instruments 104, 106, 108 (i.e., the external generator 100 may be omitted).


In one form, the ultrasonic drive circuit 114, electrosurgery/RF drive circuit 116, and/or the combination drive circuit 118 may comprise one or more embedded applications implemented as firmware, software, hardware, or any combination thereof. The drive circuits 114, 116, 118 may comprise various executable modules such as software, programs, data, drivers, application program interfaces (APIs), and so forth. The firmware may be stored in nonvolatile memory (NVM), such as in bit masked read-only memory (ROM) or flash memory. In various implementations, storing the firmware in ROM may preserve flash memory. The NVM may comprise other types of memory including, for example, programmable ROM (PROM), erasable programmable ROM (EPROM), EEPROM, or battery backed random-access memory (RAM) such as dynamic RAM (DRAM), Double-Data-Rate DRAM (DDRAM), and/or synchronous DRAM (SDRAM).


In one form, the drive circuits 114, 116, 118 comprise a hardware component implemented as a processor for executing program instructions for monitoring various measurable characteristics of the surgical instruments 104, 106, 108 and generating a corresponding output control signals for operating the surgical instruments 104, 106, 108. In forms in which the generator 100 is used in conjunction with the multifunction surgical instrument 108, the output control signal may drive the ultrasonic transducer 120 in cutting and/or coagulation operating modes. Electrical characteristics of the multifunction surgical instrument 108 and/or tissue may be measured and used to control operational aspects of the generator 100 and/or provided as feedback to the user. In forms in which the generator 100 is used in conjunction with the multifunction surgical instrument 108, the output control signal may supply electrical energy (e.g., RF energy) to the end effector 125 in cutting, coagulation and/or desiccation modes. Electrical characteristics of the multifunction surgical instrument 108 and/or tissue may be measured and used to control operational aspects of the generator 100 and/or provide feedback to the user. In various forms, as previously discussed, the hardware component may be implemented as a DSP, PLD, ASIC, circuits, and/or registers. In one form, the processor may be configured to store and execute computer software program instructions to generate the output signals for driving various components of the surgical instruments 104, 106, 108, such as the ultrasonic transducer 120 and the end effectors 122, 124, 125.



FIG. 4 illustrates an equivalent circuit 150 of an ultrasonic transducer, such as the ultrasonic transducer 120, according to one form. The equivalent circuit 150 comprises a first “motional” branch having a serially connected inductance Ls, resistance Rs and capacitance Cs that define the electromechanical properties of the resonator, and a second capacitive branch having a static capacitance Co. Drive current Ig may be received from a generator at a drive voltage Vg, with motional current Im flowing through the first branch and current Ig-Im flowing through the capacitive branch. Control of the electromechanical properties of the ultrasonic transducer may be achieved by suitably controlling Ig and Vg. As explained above, conventional generator architectures may include a tuning inductor Lt (shown in phantom in FIG. 4) for tuning out in a parallel resonance circuit the static capacitance Co at a resonant frequency so that substantially all of generator's current output Ig flows through the motional branch. In this way, control of the motional branch current Im is achieved by controlling the generator current output Ig. The tuning inductor Lt is specific to the static capacitance Co of an ultrasonic transducer, however, and a different ultrasonic transducer having a different static capacitance requires a different tuning inductor Lt. Moreover, because the tuning inductor Lt is matched to the nominal value of the static capacitance Co at a single resonant frequency, accurate control of the motional branch current Im is assured only at that frequency, and as frequency shifts down with transducer temperature, accurate control of the motional branch current is compromised.


Forms of the generator 100 do not rely on a tuning inductor Lt to monitor the motional branch current Im. Instead, the generator 100 may use the measured value of the static capacitance Co in between applications of power for a specific ultrasonic surgical instrument 104 (along with drive signal voltage and current feedback data) to determine values of the motional branch current Im on a dynamic and ongoing basis (e.g., in real-time). Such forms of the generator 100 are therefore able to provide virtual tuning to simulate a system that is tuned or resonant with any value of static capacitance Co at any frequency, and not just at single resonant frequency dictated by a nominal value of the static capacitance Co.



FIG. 5 is a simplified block diagram of a generator 200, which is one form of the generator 100 (FIGS. 1-3). The generator 200 is configured to provide inductorless tuning as described above, among other benefits. Additional details of the generator 200 are described in commonly assigned and contemporaneously filed U.S. Pat. No. 9,060,775, titled SURGICAL GENERATOR FOR ULTRASONIC AND ELECTROSURGICAL DEVICES, the disclosure of which is incorporated herein by reference in its entirety. With reference to FIG. 5, the generator 200 may comprise a patient isolated stage 202 in communication with a non-isolated stage 204 via a power transformer 206. A secondary winding 208 of the power transformer 206 is contained in the isolated stage 202 and may comprise a tapped configuration (e.g., a center-tapped or a non-center-tapped configuration) to define drive signal outputs 210a, 210b, 210c for delivering drive signals to different surgical instruments, such as, for example, an ultrasonic surgical instrument 104, an RF electrosurgical instrument 106, and a multifunction surgical instrument 108. In particular, drive signal outputs 210a, 210c may output an ultrasonic drive signal (e.g., a 420V RMS drive signal) to an ultrasonic surgical instrument 104, and drive signal outputs 210b, 210c may output an electrosurgical drive signal (e.g., a 100V RMS drive signal) to an RF electrosurgical instrument 106, with the drive signal output 2160b corresponding to the center tap of the power transformer 206.


In certain forms, the ultrasonic and electrosurgical drive signals may be provided simultaneously to distinct surgical instruments and/or to a single surgical instrument having the capability to deliver both ultrasonic and electrosurgical energy to tissue, such as the multifunction surgical instrument 108 (FIGS. 1-3). It will be appreciated that the electrosurgical signal, provided either to a dedicated electrosurgical instrument and/or to a combined multifunction ultrasonic/electrosurgical instrument may be either a therapeutic or sub-therapeutic level signal where the sub-therapeutic signal can be used, for example, to monitor tissue or instrument conditions and provide feedback to the generator. For example, the ultrasonic and RF signals can be delivered separately or simultaneously from a generator with a single output port in order to provide the desired output signal to the surgical instrument, as will be discussed in more detail below. Accordingly, the generator can combine the ultrasonic and electrosurgical RF energies and deliver the combined energies to the multifunction ultrasonic/electrosurgical instrument. Bipolar electrodes can be placed on one or both jaws of the end effector. One jaw may be driven by ultrasonic energy in addition to electrosurgical RF energy, working simultaneously. The ultrasonic energy may be employed to dissect tissue while the electrosurgical RF energy may be employed for vessel sealing.


The non-isolated stage 204 may comprise a power amplifier 212 having an output connected to a primary winding 214 of the power transformer 206. In certain forms the power amplifier 212 may be comprise a push-pull amplifier. For example, the non-isolated stage 204 may further comprise a logic device 216 for supplying a digital output to a DAC circuit 218, which in turn supplies a corresponding analog signal to an input of the power amplifier 212. In certain forms the logic device 216 may comprise a programmable gate array (PGA), a FPGA, programmable logic device (PLD), among other logic circuits, for example. The logic device 216, by virtue of controlling the input of the power amplifier 212 via the DAC circuit 218, may therefore control any of a number of parameters (e.g., frequency, waveform shape, waveform amplitude) of drive signals appearing at the drive signal outputs 210a, 210b, 210c. In certain forms and as discussed below, the logic device 216, in conjunction with a processor (e.g., a digital signal processor discussed below), may implement a number of digital signal processing (DSP)-based and/or other control algorithms to control parameters of the drive signals output by the generator 200.


Power may be supplied to a power rail of the power amplifier 212 by a switch-mode regulator 220, e.g., power converter. In certain forms the switch-mode regulator 220 may comprise an adjustable buck regulator, for example. The non-isolated stage 204 may further comprise a first processor 222, which in one form may comprise a DSP processor such as an Analog Devices ADSP-21469 SHARC DSP, available from Analog Devices, Norwood, Mass., for example, although in various forms any suitable processor may be employed. In certain forms the DSP processor 222 may control operation of the switch-mode regulator 220 responsive to voltage feedback data received from the power amplifier 212 by the DSP processor 222 via an analog-to-digital converter (ADC) circuit 224. In one form, for example, the DSP processor 222 may receive as input, via the ADC circuit 224, the waveform envelope of a signal (e.g., an RF signal) being amplified by the power amplifier 212. The DSP processor 222 may then control the switch-mode regulator 220 (e.g., via a pulse-width modulated (PWM) output) such that the rail voltage supplied to the power amplifier 212 tracks the waveform envelope of the amplified signal. By dynamically modulating the rail voltage of the power amplifier 212 based on the waveform envelope, the efficiency of the power amplifier 212 may be significantly improved relative to a fixed rail voltage amplifier schemes.


In certain forms, the logic device 216, in conjunction with the DSP processor 222, may implement a digital synthesis circuit such as a DDS (see e.g., FIGS. 13, 14) control scheme to control the waveform shape, frequency and/or amplitude of drive signals output by the generator 200. In one form, for example, the logic device 216 may implement a DDS control algorithm by recalling waveform samples stored in a dynamically-updated lookup 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 120, 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 200 is impacted by various sources of distortion present in the output drive circuit (e.g., the power transformer 206, the power amplifier 212), 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 DSP processor 222, 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 form, 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 forms, 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 204 may further comprise a first ADC circuit 226 and a second ADC circuit 228 coupled to the output of the power transformer 206 via respective isolation transformers 230, 232 for respectively sampling the voltage and current of drive signals output by the generator 200. In certain forms, the ADC circuits 226, 228 may be configured to sample at high speeds (e.g., 80 mega samples per second [MSPS]) to enable oversampling of the drive signals. In one form, for example, the sampling speed of the ADC circuits 226, 228 may enable approximately 200× (depending on frequency) oversampling of the drive signals. In certain forms, the sampling operations of the ADC circuit 226, 228 may be performed by a single ADC circuit receiving input voltage and current signals via a two-way multiplexer. The use of high-speed sampling in forms of the generator 200 may enable, among other things, calculation of the complex current flowing through the motional branch (which may be used in certain forms 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 ADC circuits 226, 228 may be received and processed (e.g., first-in-first-out [FIFO] buffer, multiplexer, etc.) by the logic device 216 and stored in data memory for subsequent retrieval by, for example, the DSP processor 222. 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 forms, 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 logic device 216 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 forms, 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 form, for example, voltage and current feedback data may be used to determine impedance phase. 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 DSP processor 222, for example, with the frequency control signal being supplied as input to a DDS control algorithm implemented by the logic device 216.


In another form, 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 forms, control of the current amplitude may be implemented by control algorithm, such as, for example, a proportional-integral-derivative (PID) control algorithm, in the DSP processor 222. 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 logic device 216 and/or the full-scale output voltage of the DAC circuit 218 (which supplies the input to the power amplifier 212) via a DAC circuit 234.


The non-isolated stage 204 may further comprise a second processor 236 for providing, among other things user interface (UI) functionality. In one form, the UI processor 236 may comprise an Atmel AT91SAM9263 processor having an ARM 926EJ-S core, available from Atmel Corporation, San Jose, Calif., for example. Examples of UI functionality supported by the UI processor 236 may include audible and visual user feedback, communication with peripheral devices (e.g., via a Universal Serial Bus [USB] interface), communication with the foot switch 130, communication with an input device 110 (e.g., a touch screen display) and communication with an output device 112 (e.g., a speaker), as shown in FIGS. 1 and 3. The UI processor 236 may communicate with the DSP processor 222 and the logic device 216 (e.g., via serial peripheral interface [SPI] buses). Although the UI processor 236 may primarily support UI functionality, it may also coordinate with the DSP processor 222 to implement hazard mitigation in certain forms. For example, the UI processor 236 may be programmed to monitor various aspects of user input and/or other inputs (e.g., touch screen inputs, foot switch 130 inputs as shown in FIG. 3, temperature sensor inputs) and may disable the drive output of the generator 200 when an erroneous condition is detected.


In certain forms, both the DSP processor 222 and the UI processor 236, for example, may determine and monitor the operating state of the generator 200. For the DSP processor 222, the operating state of the generator 200 may dictate, for example, which control and/or diagnostic processes are implemented by the DSP processor 222. For the UI processor 236, the operating state of the generator 200 may dictate, for example, which elements of a user interface (e.g., display screens, sounds) are presented to a user. The respective DSP and UI processors 222, 236 may independently maintain the current operating state of the generator 200 and recognize and evaluate possible transitions out of the current operating state. The DSP processor 222 may function as the master in this relationship and determine when transitions between operating states are to occur. The UI processor 236 may be aware of valid transitions between operating states and may confirm if a particular transition is appropriate. For example, when the DSP processor 222 instructs the UI processor 236 to transition to a specific state, the UI processor 236 may verify that requested transition is valid. In the event that a requested transition between states is determined to be invalid by the UI processor 236, the UI processor 236 may cause the generator 200 to enter a failure mode.


The non-isolated stage 204 may further comprise a controller 238 for monitoring input devices 110 (e.g., a capacitive touch sensor used for turning the generator 200 on and off, a capacitive touch screen). In certain forms, the controller 238 may comprise at least one processor and/or other controller device in communication with the UI processor 236. In one form, for example, the controller 238 may comprise a processor (e.g., a Mega168 8-bit controller available from Atmel) configured to monitor user input provided via one or more capacitive touch sensors. In one form, the controller 238 may comprise a touch screen controller (e.g., a QT5480 touch screen controller available from Atmel) to control and manage the acquisition of touch data from a capacitive touch screen.


In certain forms, when the generator 200 is in a “power off” state, the controller 238 may continue to receive operating power (e.g., via a line from a power supply of the generator 200, such as the power supply 254 discussed below). In this way, the controller 196 may continue to monitor an input device 110 (e.g., a capacitive touch sensor located on a front panel of the generator 200) for turning the generator 200 on and off. When the generator 200 is in the power off state, the controller 238 may wake the power supply (e.g., enable operation of one or more DC/DC voltage converters 256 of the power supply 254) if activation of the “on/off” input device 110 by a user is detected. The controller 238 may therefore initiate a sequence for transitioning the generator 200 to a “power on” state. Conversely, the controller 238 may initiate a sequence for transitioning the generator 200 to the power off state if activation of the “on/off” input device 110 is detected when the generator 200 is in the power on state. In certain forms, for example, the controller 238 may report activation of the “on/off” input device 110 to the UI processor 236, which in turn implements the necessary process sequence for transitioning the generator 200 to the power off state. In such forms, the controller 196 may have no independent ability for causing the removal of power from the generator 200 after its power on state has been established.


In certain forms, the controller 238 may cause the generator 200 to provide audible or other sensory feedback for alerting the user that a power on or power off sequence has been initiated. Such an alert may be provided at the beginning of a power on or power off sequence and prior to the commencement of other processes associated with the sequence.


In certain forms, the isolated stage 202 may comprise an instrument interface circuit 240 to, for example, provide a communication interface between a control circuit of a surgical instrument (e.g., a control circuit comprising handpiece switches) and components of the non-isolated stage 204, such as, for example, the logic device 216, the DSP processor 222 and/or the UI processor 236. The instrument interface circuit 240 may exchange information with components of the non-isolated stage 204 via a communication link that maintains a suitable degree of electrical isolation between the isolated and non-isolated stages 202, 204, such as, for example, an infrared (IR)-based communication link. Power may be supplied to the instrument interface circuit 240 using, for example, a low-dropout voltage regulator powered by an isolation transformer driven from the non-isolated stage 204.


In one form, the instrument interface circuit 240 may comprise a logic circuit 242 (e.g., logic circuit, programmable logic circuit, PGA, FPGA, PLD) in communication with a signal conditioning circuit 244. The signal conditioning circuit 244 may be configured to receive a periodic signal from the logic circuit 242 (e.g., a 2 kHz square wave) to generate a bipolar interrogation signal having an identical frequency. The interrogation signal may be generated, for example, using a bipolar current source fed by a differential amplifier. The interrogation signal may be communicated to a surgical instrument control circuit (e.g., by using a conductive pair in a cable that connects the generator 200 to the surgical instrument) and monitored to determine a state or configuration of the control circuit. The control circuit may comprise a number of switches, resistors and/or diodes to modify one or more characteristics (e.g., amplitude, rectification) of the interrogation signal such that a state or configuration of the control circuit is uniquely discernable based on the one or more characteristics. In one form, for example, the signal conditioning circuit 244 may comprise an ADC circuit for generating samples of a voltage signal appearing across inputs of the control circuit resulting from passage of interrogation signal therethrough. The logic circuit 242 (or a component of the non-isolated stage 204) may then determine the state or configuration of the control circuit based on the ADC circuit samples.


In one form, the instrument interface circuit 240 may comprise a first data circuit interface 246 to enable information exchange between the logic circuit 242 (or other element of the instrument interface circuit 240) and a first data circuit disposed in or otherwise associated with a surgical instrument. In certain forms, for example, a first data circuit 136 (FIG. 2) may be disposed in a cable integrally attached to a surgical instrument handpiece, or in an adaptor for interfacing a specific surgical instrument type or model with the generator 200. The first data circuit 136 may be implemented in any suitable manner and may communicate with the generator according to any suitable protocol including, for example, as described herein with respect to the first data circuit 136. In certain forms, the first data circuit may comprise a non-volatile storage device, such as an EEPROM device. In certain forms and referring again to FIG. 5, the first data circuit interface 246 may be implemented separately from the logic circuit 242 and comprise suitable circuitry (e.g., discrete logic devices, a processor) to enable communication between the logic circuit 242 and the first data circuit. In other forms, the first data circuit interface 246 may be integral with the logic circuit 242.


In certain forms, the first data circuit 136 *FIG. 2) may store information pertaining to the particular surgical instrument with which it is associated. Such information may include, for example, a model number, a serial number, a number of operations in which the surgical instrument has been used, and/or any other type of information. This information may be read by the instrument interface circuit 240 (e.g., by the logic circuit 242), transferred to a component of the non-isolated stage 204 (e.g., to logic device 216, DSP processor 222 and/or UI processor 236) for presentation to a user via an output device 112 (FIGS. 1 and 3) and/or for controlling a function or operation of the generator 200. Additionally, any type of information may be communicated to first data circuit 136 for storage therein via the first data circuit interface 246 (e.g., using the logic circuit 242). Such information may comprise, for example, an updated number of operations in which the surgical instrument has been used and/or dates and/or times of its usage.


As discussed previously, a surgical instrument may be detachable from a handpiece (e.g., the multifunction surgical instrument 108 may be detachable from the handpiece 109) to promote instrument interchangeability and/or disposability. In such cases, conventional generators may be limited in their ability to recognize particular instrument configurations being used and to optimize control and diagnostic processes accordingly. The addition of readable data circuits to surgical instruments to address this issue is problematic from a compatibility standpoint, however. For example, designing a surgical instrument to remain backwardly compatible with generators that lack the requisite data reading functionality may be impractical due to, for example, differing signal schemes, design complexity, and cost. Forms of instruments discussed herein address these concerns by using data circuits that may be implemented in existing surgical instruments economically and with minimal design changes to preserve compatibility of the surgical instruments with current generator platforms.


Additionally, forms of the generator 200 may enable communication with instrument-based data circuits. For example, the generator 200 may be configured to communicate with a second data circuit 138 (FIG. 2) contained in an instrument (e.g., the multifunction surgical instrument 108 shown in FIG. 2). In some forms, the second data circuit 138 may be implemented in a many similar to that of the first data circuit 136 (FIG. 2) described herein. The instrument interface circuit 240 may comprise a second data circuit interface 248 to enable this communication. In one form, the second data circuit interface 248 may comprise a tri-state digital interface, although other interfaces may also be used. In certain forms, the second data circuit may generally be any circuit for transmitting and/or receiving data. In one form, for example, the second data circuit may store information pertaining to the particular surgical instrument with which it is associated. Such information may include, for example, a model number, a serial number, a number of operations in which the surgical instrument has been used, and/or any other type of information.


In some forms, the second data circuit 138 (FIG. 2) may store information about the electrical and/or ultrasonic properties of an associated ultrasonic transducer 120, end effector 125, or ultrasonic drive system. For example, the first data circuit 136 (FIG. 2) may indicate a burn-in frequency slope, as described herein. Additionally or alternatively, any type of information may be communicated to second data circuit for storage therein via the second data circuit interface 248 (e.g., using the logic circuit 242). Such information may comprise, for example, an updated number of operations in which the instrument has been used and/or dates and/or times of its usage. In certain forms, the second data circuit may transmit data acquired by one or more sensors (e.g., an instrument-based temperature sensor). In certain forms, the second data circuit may receive data from the generator 200 and provide an indication to a user (e.g., an LED indication or other visible indication) based on the received data.


In certain forms, the second data circuit and the second data circuit interface 248 may be configured such that communication between the logic circuit 242 and the second data circuit can be effected without the need to provide additional conductors for this purpose (e.g., dedicated conductors of a cable connecting a handpiece to the generator 200). In one form, for example, information may be communicated to and from the second data circuit using a 1-wire bus communication scheme implemented on existing cabling, such as one of the conductors used transmit interrogation signals from the signal conditioning circuit 244 to a control circuit in a handpiece. In this way, design changes or modifications to the surgical instrument that might otherwise be necessary are minimized or reduced. Moreover, because different types of communications implemented over a common physical channel can be frequency-band separated, the presence of a second data circuit may be “invisible” to generators that do not have the requisite data reading functionality, thus enabling backward compatibility of the surgical instrument.


In certain forms, the isolated stage 202 may comprise at least one blocking capacitor 250-1 connected to the drive signal output 210b to prevent passage of DC current to a patient. A single blocking capacitor may be required to comply with medical regulations or standards, for example. While failure in single-capacitor designs is relatively uncommon, such failure may nonetheless have negative consequences. In one form, a second blocking capacitor 250-2 may be provided in series with the blocking capacitor 250-1, with current leakage from a point between the blocking capacitors 250-1, 250-2 being monitored by, for example, an ADC circuit 252 for sampling a voltage induced by leakage current. The samples may be received by the logic circuit 242, for example. Based changes in the leakage current (as indicated by the voltage samples in the form of FIG. 5), the generator 200 may determine when at least one of the blocking capacitors 250-1, 250-2 has failed. Accordingly, the form of FIG. 5 provides a benefit over single-capacitor designs having a single point of failure.


In certain forms, the non-isolated stage 204 may comprise a power supply 254 for delivering DC power at a suitable voltage and current. The power supply may comprise, for example, a 400 W power supply for delivering a 48 VDC system voltage. The power supply 254 may further comprise one or more DC/DC voltage converters 256 for receiving the output of the power supply to generate DC outputs at the voltages and currents required by the various components of the generator 200. As discussed above in connection with the controller 238, one or more of the DC/DC voltage converters 256 may receive an input from the controller 238 when activation of the “on/off” input device 110 by a user is detected by the controller 238 to enable operation of, or wake, the DC/DC voltage converters 256.



FIG. 6 illustrates one form of a drive system 302 of a generator 300, which is one form of the generator 100 (FIGS. 1-3). The generator 300 is configured to provide an ultrasonic electrical signal for driving an ultrasonic transducer (e.g., ultrasonic transducer 120FIGS. 1-3), also referred to as a drive signal. The generator 300 is similar to and may be interchangeable with the generators 100, 200 (FIGS. 1-3 and 5). The drive system 302 is flexible and can create an ultrasonic electrical drive signal 304 at a desired frequency and power level setting for driving the ultrasonic transducer 306. In various forms, the generator 300 may comprise several separate functional elements, such as modules and/or blocks. Although certain modules and/or blocks may be described by way of example, it can be appreciated that a greater or lesser number of modules and/or blocks may be used and still fall within the scope of the forms. Further, although various forms may be described in terms of modules and/or blocks to facilitate description, such modules and/or blocks may be implemented by one or more hardware components, e.g., processors, Digital Signal Processors (DSPs), Programmable Logic Devices (PLDs), Application Specific Integrated Circuits (ASICs), circuits, registers and/or software components, e.g., programs, subroutines, logic and/or combinations of hardware and software components.


In one form, the generator 300 drive system 302 may comprise one or more embedded applications implemented as firmware, software, hardware, or any combination thereof. The generator 300 drive system 302 may comprise various executable modules such as software, programs, data, drivers, application program interfaces (APIs), and so forth. The firmware may be stored in nonvolatile memory (NVM), such as in bit-masked read-only memory (ROM) or flash memory. In various implementations, storing the firmware in ROM may preserve flash memory. The NVM may comprise other types of memory including, for example, programmable ROM (PROM), erasable programmable ROM (EPROM), EEPROM, or battery backed random-access memory (RAM) such as dynamic RAM (DRAM), Double-Data-Rate DRAM (DDRAM), and/or synchronous DRAM (SDRAM).


In one form, the generator 300 drive system 302 comprises a hardware component implemented as a processor 308 for executing program instructions for monitoring various measurable characteristics of the ultrasonic surgical instrument 104 (FIG. 1) and generating an output signal for driving the ultrasonic transducer in cutting and/or coagulation operating modes. It will be appreciated by those skilled in the art that the generator 300 and the drive system 302 may comprise additional or fewer components and only a simplified version of the generator 300 and the drive system 302 are described herein for conciseness and clarity. In various forms, as previously discussed, the hardware component may be implemented as a DSP, PLD, ASIC, circuits, and/or registers. In one form, the processor 308 may be configured to store and execute computer software program instructions to generate the output signals for driving various components of the ultrasonic surgical instrument 104, such as a transducer, an end effector, and/or a blade.


In one form, under control of one or more software program routines, the processor 308 executes the methods in accordance with the described forms to generate an electrical signal output waveform comprising current (I), voltage (V), and/or frequency (f) for various time intervals or periods (T). The stepwise waveforms of the drive signals may be generated by forming a piecewise linear combination of constant functions over a plurality of time intervals created by stepping the generator 300 drive signals, e.g., output drive current (I), voltage (V), and/or frequency (f). The time intervals or periods (T) may be predetermined (e.g., fixed and/or programmed by the user) or may be variable. Variable time intervals may be defined by setting the drive signal to a first value and maintaining the drive signal at that value until a change is detected in a monitored characteristic. Examples of monitored characteristics may comprise, for example, transducer impedance, tissue impedance, tissue heating, tissue transection, tissue coagulation, and the like. The ultrasonic drive signals generated by the generator 300 include, without limitation, ultrasonic drive signals capable of exciting the ultrasonic transducer 306 in various vibratory modes such as, for example, the primary longitudinal mode and harmonics thereof as well flexural and torsional vibratory modes.


In one form, the executable modules comprise one or more algorithm(s) 310 stored in memory that when executed causes the processor 308 to generate an electrical signal output waveform comprising current (I), voltage (V), and/or frequency (f) for various time intervals or periods (T). The stepwise waveforms of the drive signals may be generated by forming a piecewise linear combination of constant functions over two or more time intervals created by stepping the output drive current (I), voltage (V), and/or frequency (f) of the generator 300. The drive signals may be generated either for predetermined fixed time intervals or periods (T) of time or variable time intervals or periods of time in accordance with the one or more algorithm(s) 310. Under control of the processor 308, the generator 100 outputs (e.g., increases or decreases) the current (I), voltage (V), and/or frequency (f) up or down at a particular resolution for a predetermined period (T) or until a predetermined condition is detected, such as a change in a monitored characteristic (e.g., transducer impedance, tissue impedance). The steps can change in programmed increments or decrements. If other steps are desired, the generator 300 can increase or decrease the step adaptively based on measured system characteristics.


In operation, the user can program the operation of the generator 300 using the input device 312 located on the front panel of the generator 300 console. The input device 312 may comprise any suitable device that generates signals 314 that can be applied to the processor 308 to control the operation of the generator 300. In various forms, the input device 312 includes buttons, switches, thumbwheels, keyboard, keypad, touch screen monitor, pointing device, remote connection to a general purpose or dedicated computer. In other forms, the input device 312 may comprise a suitable user interface. Accordingly, by way of the input device 312, the user can set or program the current (I), voltage (V), frequency (f), and/or period (T) for programming the output of the generator 300. The processor 308 then displays the selected power level by sending a signal on line 316 to an output indicator 318.


In various forms, the output indicator 318 may provide visual, audible, and/or tactile feedback to the surgeon to indicate the status of a surgical procedure, such as, for example, when tissue cutting and coagulating is complete based on a measured characteristic of the ultrasonic surgical instrument 104, e.g., transducer impedance, tissue impedance, or other measurements as subsequently described. By way of example, and not limitation, visual feedback comprises any type of visual indication device including incandescent lamps or LEDs, graphical user interface, display, analog indicator, digital indicator, bar graph display, digital alphanumeric display. By way of example, and not limitation, audible feedback comprises any type of buzzer, computer generated tone, computerized speech, voice user interface (VUI) to interact with computers through a voice/speech platform. By way of example, and not limitation, tactile feedback comprises any type of vibratory feedback provided through an instrument housing handle assembly.


In one form, the processor 308 may be configured or programmed to generate a digital current signal 320 and a digital frequency signal 322. These digital signals 320, 322 are applied to a digital synthesis circuit such as the DDS circuit 324 (see e.g., FIGS. 13, 14) to adjust the amplitude and the frequency (f) of the ultrasonic electrical drive signal 304 to the transducer. The output of the DDS circuit 324 is applied to a power amplifier 326 whose output is applied to a transformer 328. The output of the transformer 328 is the ultrasonic electrical drive signal 304 applied to the ultrasonic transducer 306, which is coupled to a blade by way of a waveguide. The output of the DDS circuit 324 may be stored in one more memory circuits including volatile (RAM) and non-volatile (ROM) memory circuits.


In one form, the generator 300 comprises one or more measurement modules or components that may be configured to monitor measurable characteristics of the ultrasonic instrument 104 (FIGS. 1, 2) or the multifunction electrosurgical/ultrasonic instrument 108 (FIGS. 1-3). In the illustrated form, the processor 308 may be employed to monitor and calculate system characteristics. As shown, the processor 308 measures the impedance Z of the transducer by monitoring the current supplied to the ultrasonic transducer 306 and the voltage applied to the transducer. In one form, a current sense circuit 330 is employed to sense the current flowing through the transducer and a voltage sense circuit 332 is employed to sense the output voltage applied to the ultrasonic transducer 306. These signals may be applied to the ADC circuit 336 via an analog multiplexer 334 circuit or switching circuit arrangement. The analog multiplexer 334 routes the appropriate analog signal to the ADC circuit 336 for conversion. In other forms, multiple ADC circuits 336 may be employed for each measured characteristic instead of the analog multiplexer 334 circuit. The processor 308 receives the digital output 338 of the ADC circuit 336 and calculates the transducer impedance Z based on the measured values of current and voltage. The processor 308 adjusts the ultrasonic electrical drive signal 304 such that it can generate a desired power versus load curve. In accordance with programmed algorithm(s) 310, the processor 308 can step the ultrasonic electrical drive signal 304, e.g., the current or frequency, in any suitable increment or decrement in response to the transducer impedance Z.



FIG. 7 illustrates one aspect of a drive system 402 of the generator 400, which is one form of the generator 100 (FIGS. 1-3). In operation, the user can program the operation of the generator 400 using the input device 412 located on the front panel of the generator 400 console. The input device 412 may comprise any suitable device that generates signals 414 that can be applied to the processor 408 to control the operation of the generator 400. In various forms, the input device 412 includes buttons, switches, thumbwheels, keyboard, keypad, touch screen monitor, pointing device, remote connection to a general purpose or dedicated computer. In other forms, the input device 412 may comprise a suitable user interface. Accordingly, by way of the input device 412, the user can set or program the current (I), voltage (V), frequency (f), and/or period (T) for programming the output of the generator 400. The processor 408 then displays the selected power level by sending a signal on line 416 to an output indicator 418.


The generator 400 comprises a tissue impedance module 442. The drive system 402 is configured to generate electrical drive signal 404 to drive the ultrasonic transducer 406. In one aspect, the tissue impedance module 442 may be configured to measure the impedance Zt of tissue grasped between the blade 440 and the clamp arm assembly 444. The tissue impedance module 442 comprises an RF oscillator 446, an RF voltage sensing circuit 448, and an RF current sensing circuit 450. The RF voltage and RF current sensing circuits 448, 450 respond to the RF voltage Vrf applied to the blade 440 electrode and the RF current Irf flowing through the blade 440 electrode, the tissue, and the conductive portion of the clamp arm assembly 444. The sensed voltage Vrf and current Irf are converted to digital form by the ADC circuit 436 via the analog multiplexer 434. The processor 408 receives the digital output 438 of the ADC circuit 436 and determines the tissue impedance Zt by calculating the ratio of the RF voltage Vrf to current Irf measured by the RF voltage sense circuit 448 and the RF current sense circuit 450. In one aspect, the transection of the inner muscle layer and the tissue may be detected by sensing the tissue impedance Zt. Accordingly, detection of the tissue impedance Zt may be integrated with an automated process for separating the inner muscle layer from the outer adventitia layer prior to transecting the tissue without causing a significant amount of heating, which normally occurs at resonance.


In one form, the RF voltage Vrf applied to the blade 440 electrode and the RF current Irf flowing through the blade 440 electrode, the tissue, and the conductive portion of the clamp arm assembly 451 are suitable for vessel sealing and/or dissecting. Thus, the RF power output of the generator 400 can be selected for non-therapeutic functions such as tissue impedance measurements as well as therapeutic functions such as vessel sealing and/or dissection. It will be appreciated, that in the context of the present disclosure, the ultrasonic and the RF electrosurgical energies can be supplied by the generator either individually or simultaneously.


In various forms, feedback is provided by the output indicator 418 shown in FIGS. 6 and 7. The output indicator 418 is particularly useful in applications where the tissue being manipulated by the end effector is out of the user's field of view and the user cannot see when a change of state occurs in the tissue. The output indicator 418 communicates to the user that a change in tissue state has occurred. As previously discussed, the output indicator 418 may be configured to provide various types of feedback to the user including, without limitation, visual, audible, and/or tactile feedback to indicate to the user (e.g., surgeon, clinician) that the tissue has undergone a change of state or condition of the tissue. By way of example, and not limitation, as previously discussed, visual feedback comprises any type of visual indication device including incandescent lamps or LEDs, graphical user interface, display, analog indicator, digital indicator, bar graph display, digital alphanumeric display. By way of example, and not limitation, audible feedback comprises any type of buzzer, computer generated tone, computerized speech, VUI to interact with computers through a voice/speech platform. By way of example, and not limitation, tactile feedback comprises any type of vibratory feedback provided through the instrument housing handle assembly. The change of state of the tissue may be determined based on transducer and tissue impedance measurements as previously described, or based on voltage, current, and frequency measurements.


In one form, the processor 408 may be configured or programmed to generate a digital current signal 420 and a digital frequency signal 422. These digital signals 420, 422 are applied to a digital synthesis circuit such as the DDS circuit 424 (see e.g., FIGS. 13, 14) to adjust the amplitude and the frequency (f) of the electrical drive signal 404 to the transducer 406. The output of the DDS circuit 424 is applied to a power amplifier 426 whose output is applied to a transformer 428. The output of the transformer 428 is the electrical drive signal 404 applied to the ultrasonic transducer 406, which is coupled to a blade by way of a waveguide. The output of the DDS circuit 424 may be stored in one more memory circuits including volatile (RAM) and non-volatile (ROM) memory circuits.


In one form, the generator 400 comprises one or more measurement modules or components that may be configured to monitor measurable characteristics of the ultrasonic instrument 104 (FIGS. 1, 3) or the multifunction electrosurgical/ultrasonic instrument 108 (FIGS. 1-3). In the illustrated form, the processor 408 may be employed to monitor and calculate system characteristics. As shown, the processor 408 measures the impedance Z of the transducer by monitoring the current supplied to the ultrasonic transducer 406 and the voltage applied to the transducer. In one form, a current sense circuit 430 is employed to sense the current flowing through the transducer and a voltage sense circuit 432 is employed to sense the output voltage applied to the ultrasonic transducer 406. These signals may be applied to the ADC circuit 436 via an analog multiplexer 434 circuit or switching circuit arrangement. The analog multiplexer 434 routes the appropriate analog signal to the ADC circuit 436 for conversion. In other forms, multiple ADC circuits 436 may be employed for each measured characteristic instead of the analog multiplexer 434 circuit. The processor 408 receives the digital output 438 of the ADC circuit 436 and calculates the transducer impedance Z based on the measured values of current and voltage. The processor 308 adjusts the electrical drive signal 404 such that it can generate a desired power versus load curve. In accordance with programmed algorithm(s) 410, the processor 408 can step the ultrasonic electrical drive signal 404, e.g., the current or frequency, in any suitable increment or decrement in response to the transducer impedance Z.


With reference to FIGS. 6 and 7, in various forms, the various executable instructions or modules (e.g., algorithms 310, 410) comprising computer readable instructions can be executed by the processor 308, 408 portion of the generator 300, 400. In various forms, the operations described with respect to the algorithms may be implemented as one or more software components, e.g., programs, subroutines, logic; one or more hardware components, e.g., processors, DSPs, PLDs, ASICs, circuits, registers; and/or combinations of software and hardware. In one form, the executable instructions to perform the algorithms may be stored in memory. When executed, the instructions cause the processor 308, 408 to determine a change in tissue state provide feedback to the user by way of the output indicator 318, 418. In accordance with such executable instructions, the processor 308, 408 monitors and evaluates the voltage, current, and/or frequency signal samples available from the generator 300, 400 and according to the evaluation of such signal samples determines whether a change in tissue state has occurred. As further described below, a change in tissue state may be determined based on the type of ultrasonic instrument and the power level that the instrument is energized at. In response to the feedback, the operational mode of the surgical instruments 104, 106, 108 (FIGS. 1-3) may be controlled by the user or may be automatically or semi-automatically controlled.



FIG. 8 illustrates an example of a generator 500, which is one form of the generator 100 (FIGS. 1-3). The generator 500 is configured to deliver multiple energy modalities to a surgical instrument. The generator 500 includes functionalities of the generators 200, 300, 400 shown in FIGS. 5-7. The generator 500 provides RF and ultrasonic signals for delivering energy to a surgical instrument. The RF and ultrasonic signals may be provided alone or in combination and may be provided simultaneously. As noted above, at least one generator output can deliver multiple energy modalities (e.g., ultrasonic, bipolar or monopolar RF, irreversible and/or reversible electroporation, and/or microwave energy, among others) through a single port and these signals can be delivered separately or simultaneously to the end effector to treat tissue. The generator 500 comprises a processor 502 coupled to a waveform generator 504. The processor 502 and waveform generator 504 are configured to generate a variety of signal waveforms based on information stored in a memory coupled to the processor 502, not shown for clarity of disclosure. The digital information associated with a waveform is provided to the waveform generator 504 which includes one or more DAC circuits to convert the digital input into an analog output. The analog output is fed to an amplifier 1106 for signal conditioning and amplification. The conditioned and amplified output of the amplifier 506 is coupled to a power transformer 508. The signals are coupled across the power transformer 508 to the secondary side, which is in the patient isolation side. A first signal of a first energy modality is provided to the surgical instrument between the terminals labeled ENERGY1 and RETURN. A second signal of a second energy modality is coupled across a capacitor 510 and is provided to the surgical instrument between the terminals labeled ENERGY2 and RETURN. It will be appreciated that more than two energy modalities may be output and thus the subscript “n” may be used to designate that up to n ENERGYn terminals may be provided, where n is a positive integer greater than 1. It also will be appreciated that up to “n” return paths RETURNn may be provided without departing from the scope of the present disclosure.


A first voltage sensing circuit 512 is coupled across the terminals labeled ENERGY1 and the RETURN path to measure the output voltage therebetween. A second voltage sensing circuit 524 is coupled across the terminals labeled ENERGY2 and the RETURN path to measure the output voltage therebetween. A current sensing circuit 514 is disposed in series with the RETURN leg of the secondary side of the power transformer 508 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 512, 524 are provided to respective isolation transformers 516, 522 and the output of the current sensing circuit 514 is provided to another isolation transformer 518. The outputs of the isolation transformers 516, 518, 522 in the on the primary side of the power transformer 508 (non-patient-isolated side) are provided to a one or more ADC circuit 526. The digitized output of the ADC circuit 526 is provided to the processor 502 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 502 and patient isolated circuits is provided through an interface circuit 520. Sensors also may be in electrical communication with the processor 502 by way of the interface circuit 520.


In one aspect, the impedance may be determined by the processor 502 by dividing the output of either the first voltage sensing circuit 512 coupled across the terminals labeled ENERGY1/RETURN or the second voltage sensing circuit 524 coupled across the terminals labeled ENERGY2/RETURN by the output of the current sensing circuit 514 disposed in series with the RETURN leg of the secondary side of the power transformer 508. The outputs of the first and second voltage sensing circuits 512, 524 are provided to separate isolations transformers 516, 522 and the output of the current sensing circuit 514 is provided to another isolation transformer 516. The digitized voltage and current sensing measurements from the ADC circuit 526 are provided the processor 502 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 FIG. 8 shows a single return path RETURN may be provided for two or more energy modalities, in other aspects multiple return paths RETURNn may be provided for each energy modality ENERGYn. Thus, as described herein, the ultrasonic transducer impedance may be measured by dividing the output of the first voltage sensing circuit 512 by the current sensing circuit 514 and the tissue impedance may be measured by dividing the output of the second voltage sensing circuit 524 by the current sensing circuit 514.


As shown in FIG. 8, the generator 500 comprising at least one output port can include a power transformer 508 with a single output and with multiple taps to provide power in the form of one or more energy modalities, such as ultrasonic, bipolar or monopolar RF, irreversible and/or reversible electroporation, and/or microwave energy, among others, for example, to the end effector depending on the type of treatment of tissue being performed. For example, the generator 500 can deliver energy with higher voltage and lower current to drive an ultrasonic transducer, with lower voltage and higher current to drive RF electrodes for sealing tissue, or with a coagulation waveform for spot coagulation using either monopolar or bipolar RF electrosurgical electrodes. The output waveform from the generator 500 can be steered, switched, or filtered to provide the frequency to the end effector of the surgical instrument. The connection of an ultrasonic transducer to the generator 500 output would be preferably located between the output labeled ENERGY1 and RETURN as shown in FIG. 8. An In one example, a connection of RF bipolar electrodes to the generator 500 output would be preferably located between the output labeled ENERGY2 and RETURN. In the case of monopolar output, the preferred connections would be active electrode (e.g., pencil or other probe) to the ENERGY2 output and a suitable return pad connected to the RETURN output.


In other aspects, the generators 100, 200, 300, 400, 500 described in connection with FIGS. 1-3 and 5-8, the ultrasonic drive circuit 114, and/or electrosurgery/RF drive circuit 116 as described in connection with FIG. 3 may be formed integrally with any one of the surgical instruments 104, 106, 108 described in connection with FIGS. 1 and 2. Accordingly, any of the processors, digital signal processors, circuits, controllers, logic devices, ADCs, DACs, amplifiers, converters, transformers, signal conditioners, data interface circuits, current and voltage sensing circuits, direct digital synthesis circuits, multiplexer (analog or digital), waveform generators, RF generators, memory, and the like, described in connection with any one of the generators 100, 200, 300, 400, 500 can be located within the surgical instruments 104, 106, 108 or may be located remotely from the surgical instruments 104, 106, 108 and coupled to the surgical instruments via wired and/or wireless electrical connections.



FIG. 9 shows a diagram of an electrosurgical system 9000 that allows for two ports on a generator 9001 and accounts for electrical isolation between two surgical instruments 9007, 9008. A scheme is provided for electrical isolation between the two surgical instruments 9007, 9008 as they are located on the same patient isolation circuit. According to the configuration shown in FIG. 9, unintended electrical power feedback is prevented through the electrosurgical system 9000. In various aspects, power field-effect-transistors (FETs) or relays are used to electrically isolate all power lines for each instrument 9007, 9008. According to one aspect, the power FETs or relays are controlled by a 1-wire communication protocol.


As shown in FIG. 9, a generator 9001, which is one form of the generator 100 (FIGS. 1-3), is coupled to a power switching mechanism 9003 and a communications system 9005. In one aspect, the power switching mechanism 9003 comprises power FETs, such as power metal-oxide semiconductor FETs (MOSFETs), and/or relays, such as electromechanical relays. In one aspect, the communications system 9005 comprises components for D1 emulation, FPGA expansion, and time slicing functionalities. The power switching mechanism 9003 is coupled to the communications system 9005. Each of the power switching mechanism 9003 and the communications system 9005 are coupled to surgical instruments 9007, 9009 (labeled device 1 and device 2). Each of surgical instruments 9007, 9009 comprise components for a combined RF and Ultrasonic energy input 9011, hand switch (HSW) 1-wire serial protocol interface 9013, HP 1-wire serial protocol interface 9015, and a presence interface 9017. The power switching mechanism 9003 is coupled to the RF and Ultrasonic energy input 9011 for each of surgical instruments 9007, 9008. The communications system 9005 is coupled to the HSW 1-wire serial protocol interface 9013, 9014, the HP 1-wire serial protocol interface 9015, 9016, and presence interface 9017, 9018 for each of surgical instruments 9007, 9008. While two surgical instruments are shown in FIG. 9, there may be more than two devices according to various aspects.



FIGS. 10-12 illustrate aspects of an interface with a generator to support two instruments simultaneously that allows the instruments to quickly switch between active/inactive by a user in a sterile field. FIGS. 10-12 describe multiple communication schemes which would allow for a super cap/battery charger and dual surgical instruments. The aspects of FIGS. 10-12 allow for communications to two surgical instruments in the surgical field from a generator with at least one communications port and allow for an operator in sterile field to switch between devices, for example, without modifying the surgical instruments.



FIG. 10 is a diagram of a communications architecture of system 1001 comprising a generator 1003, which is one form of the generator 100 (FIGS. 1-3), and surgical instruments 9007, 9008, which are shown in FIG. 9. According to FIG. 10, the generator 9001 is configured for delivering multiple energy modalities to a plurality of surgical instruments. As discussed herein the various energy modalities include, without limitation, ultrasonic, bipolar or monopolar RF, reversible and/or irreversible electroporation, and/or microwave energy modalities. The generator 9001 comprises a combined energy modalities power output 1005, a communications interface 1007, and a presence interface 1049. According to the aspect of FIG. 10, the communications interface 1007 comprises an HSW serial interface 1011 and an HP serial interface 1013. The serial interfaces 1011, 1013 may comprise inter-integrated circuit (I2C), half duplex serial peripheral interface (SPI), and/or Universal Asynchronous Receiver Transmitter (UART) components and/or functionalities. The generator 1003 provides the combined energy modalities power output 1005 to an adapter 1015, for example, a pass-through charger (PTC). The adapter 1015 comprises energy storage circuit 1071, control circuit 1019, a unique presence element 1021, and associated circuit discussed below. In one aspect, the presence element 1021 is a resistor. In another aspect, the presence element 1021 may be a bar code, Quick Response (QR) code, or similar code, or a value stored in memory such as, for example, a value stored in NVM. The presence element 1021 may be unique to the adapter 1015 so that, in the event that another adapter that did not use the same wire interfaces could not be used with the unique presence element 1021. In one aspect, the unique presence element 1021 is a resistor. The energy storage circuit 1071 comprises a switching mechanism 1023, energy storage device 1025, storage control 1027, storage monitoring component 1029, and a device power monitoring component 1031. The control circuit 1019 may comprise a processor, FPGA, PLD, complex programmable logic device (CPLD), microcontroller, DSP, and/or ASIC, for example. According to the aspect shown in FIG. 10, an FPGA or microcontroller would act as an extension of an existing, similar computing hardware and allows for information to be relayed from on entity to another entity.


The switching mechanism 1023 is configured to receive the combined energy modalities power output 1005 from the generator 1003 and it may be provided to the energy storage device 1025, surgical instrument 9007, and/or surgical instrument 9008. The device power monitoring component 1031 is coupled to the channels for the energy storage device 1025, surgical instrument 9007, surgical instrument 9008, and may monitor where power is flowing. The control circuit 1019 comprises communication interface 1033 coupled to the HSW serial interface 1011 and an HP serial interface 1013 of the generator 1003. The control circuit 1019 is also coupled to the storage control 1027, storage monitoring component 1029, and device power monitoring component 1031 of the energy storage circuit 1071.


The control circuit 1019 further comprises a serial master interface 1035 that is coupled to HSW #1 circuit 1037 and HSW #2 circuit 1038, includes generation and ADC circuit, a form of memory (non volatile or flash) 1039, along with a method for detecting the presence of an attached instrument (Presence) #1 circuit 1041 and Presence #2 circuit 1042, which includes a voltage or current source and ADC circuit. The serial master interface 1035 also includes HSW NVM bypass channels, which couple the serial master interface 1035 to the outputs of the HSW #1 circuit 1037 and the HSW #2 circuit 1038, respectively. The HSW #1 circuit 1037 and HSW #2 circuit 1038 are coupled to the HSW 1-wire serial protocol interfaces 9013, 9014 of the surgical instruments 9007, 9008, respectively. The serial master interface 1035 further includes HP serial channels that are coupled to the HP 1-wire serial protocol interfaces 9015, 9016 of the surgical instruments 9007, 9008, respectively. Further, Presence #1 and Presence #2 circuits 1041, 1042 are coupled to the presence interfaces 9017, 9018 of the surgical instruments 9007, 9008, respectively.


The system 1001 allows the control circuit 1019, such as an FPGA, to communicate with more surgical instruments using adapter 1015, which acts as an expansion adapter device. According to various aspects, the adapter 1015 expands the Input/Output (I/O) capability of the generator 1003 control. The adapter 1015 may function as an extension of the central processing unit that allows commands to be transmitted over a bus between the adapter 1015 and the generator 1003 and unpacks the commands and use them to bit-bang over interfaces or to control connected analog circuit. The adapter 1015 also allows for reading in ADC values from connected surgical instruments 9007, 9008 and relay this information to the generator control and the generator control would then control the two surgical instruments 9007, 9008. According to various aspects, the generator 1003 may control the surgical instruments 9007, 9008 as two separate state machines and may store the data.


Existing interfaces (the HSW serial interface 1011 and the HP serial interface 1013 lines from generator 1003) may be used in a two-wire communication protocol that enables the generator 1003 control to communicate with multiple surgical instruments connected to a dual port interface, similar to the topology of a universal serial bus (USB) hub.


This allows interfacing with two separate surgical instruments simultaneously. The system 1001 may be able to generate and read hand switch waveforms and be able to handle incoming HP serial buses. It would also monitor two separate presence elements in the surgical instruments 9007, 9008. In one aspect, the system 1001 may include a unique presence element and may have its own NVM.


Further, according to various aspects, the control circuit 1019 may be controlled by the generator 1003. The communication between the adapter 1015 and connected surgical instruments 9007, 9008 may be relayed to generator control. The generator 1003 would control the waveform generation circuit connected to the adapter 1015 to simultaneously generate HSW signals for surgical instruments 9007, 9008.


The system 1001 may allow surgical instrument activity that can be simultaneously detected/monitored for two surgical instruments, even during activation. If upgradeable, the adapter 1015 would be capable of handling new surgical instrument communications protocols. Further, fast switching between surgical instruments may be accomplished.



FIG. 11 illustrates a communication architecture of system 1101 of a generator 1103, which is one form of the generator 100 (FIGS. 1-3), and surgical instruments 9007, 9008 shown in FIG. 9. According to FIG. 11, the generator 1103 is configured for delivering multiple energy modalities to a plurality of surgical instruments. As discussed herein the various energy modalities include, without limitation, ultrasonic, bipolar or monopolar RF, reversible and/or irreversible electroporation, and/or microwave energy modalities. As shown in FIG. 11, the generator 1103 comprises a combined energy modalities power output 1105, a HSW serial interface 1111, a HP serial interface 1113, and a presence interface 1109. The generator 1103 provides the combined energy modalities power output 1105 to an adapter 1115. According to the aspect shown in FIG. 11, communications between the adapter 1115 and the generator 1103 may be done solely through serial interfaces, such as the HSW serial and HP serial interfaces 1111, 1113. The generator 1103 may use these HSW and HP serial interfaces 1111, 1113 to control which instrument the generator 1103 is communicating with. Further, switching between instruments could occur between HSW frames or at a much slower rate.


The adapter 1115 comprises an energy storage circuit 1117, control circuit 1119, an adapter memory 1121 (e.g., a NVM such as an EEPROM), a serial programmable input/output (PIO) integrated circuit 1133, a HSW switching mechanism 1135, a HP switching mechanism 1137, a presence switching mechanism 1139, and a generic adapter 1141. In one aspect, the serial PIO integrated circuit 1133 may be an addressable switch. The energy storage circuit 1117 comprises a switching mechanism 1123, energy storage device 1125, storage control component 1127, storage monitoring component 1129, and a device power monitoring component 1131. The control circuit 1119 may comprise a processor, FPGA, CPLD, PLD, microcontroller, DSP, and/or an ASIC, for example. According to the aspect of FIG. 11, an FPGA or microcontroller may have limited functionality and may solely comprise functionality for monitoring and communicating energy storage.


The switching mechanism 1123 is configured to receive the combined energy modalities energy power output 1105 from the generator 1103 and it may be provided to the energy storage device 1125, surgical instrument 9007, and/or surgical instrument 9008. The device power monitoring component 1131 is coupled to the channels for the energy storage device 1125, surgical instrument 9007, surgical instrument 9008, and may monitor where power is flowing.


The control circuit 1119 is coupled to the serial PIO integrated circuit 1133 and the serial PIO integrated circuit 1133 is coupled to the HP serial interface 1113 of the generator 1103. The control circuit 1119 may receive information regarding charger status flags and switching controls from the serial PIO integrated circuit 1133. Further, the control circuit 1119 is coupled to the HSW switching mechanism 1135, the HP switching mechanism 1137, and the presence switching mechanism 1139. According to the aspect of FIG. 11, the control circuit 1119 may be coupled to the HSW switching mechanism 1135 and the HP switching mechanism 1137 for device selection and the control circuit 1119 may be coupled to the presence switching Mechanism 1139 for presence selection.


The HSW switching mechanism 1135, the HP switching mechanism 1137, and the presence switching mechanism 1139 are coupled to the HSW serial interface 1111, the HP serial interface 1113, and the presence interface 1109 of generator 1103, respectively. Further, the HSW switching mechanism 1135, the HP switching mechanism 1137, and the presence switching mechanism 1139 are coupled to the HSW 1-wire serial protocol interfaces 9013, 9014, the HP 1-wire serial protocol interfaces 9015, 9016, and the presence interfaces 9017, 9018 of the surgical instruments 9007, 9008, respectively. Further, the presence switching mechanism 1139 is coupled to the generic adapter 1141.


The generator 1103 switches between monitoring the surgical instruments 9007, 9008. According to various aspects, this switching may require the generator 1103 control to keep track of surgical instruments 9007, 9008 and run two separate state machines. The control circuit 1119 will need to remember which surgical instruments are connected, so that it can output an appropriate waveform to the ports where appropriate. The generator 1103 may generate/monitor hand switch signals, as well as communicating with serial NVM devices, such as the adapter memory 1121. The generator 1103 may maintain constant communication with the activating surgical instrument for the duration of the activation.


System 1101 also allows for a generic adapter presence element. When first plugged in or powered on, the adapter 1115 would present this adapter resistance to the generator 1103. The generator 1103 may then relay commands to the adapter 1115 to switch between the different presence elements corresponding to the different surgical instruments 9007, 9008 connected to it. Accordingly, the generator 1103 is able to use its existing presence resistance circuit. The NVM adapter memory 1121 exists on the adapter 1115 for additional identification of the adapter and to provide a level of security. In addition, the adapter 1115 has a serial I/O device, i.e., serial PIO integrated circuit 1133. The serial PIO integrated circuit 1133 provides a communication link between the generator 1103 and the adapter 1115.


It may be possible to communicate over the HP serial bus using serial communications to HP NVMs and UART style communication to the control circuit 1119. According to one aspect, if SLOW serial communication is used (i.e. not overdrive) and a high speed serial protocol is used, system 1101 may need to ensure that the communications protocol does not generate a signal that looked like a serial reset pulse. This would allow better generator 1103 to adapter 1115 communications and faster switching times between surgical instruments 9007, 9008.


The system 1101 uses generator communications protocol and analog circuit and allows the generator to accomplish decision making. It is a simple and efficient solution that uses a small number of circuit devices.



FIG. 12 illustrates a communications architecture of system 1201 of a generator 1203, which is one form of the generator 100 (FIGS. 1-3), and surgical instruments 9007, 9008 shown in FIG. 9. According to FIG. 12, the generator 1203 is configured for delivering multiple energy modalities to a plurality of surgical instruments. As discussed herein the various energy modalities include, without limitation, ultrasonic, bipolar or monopolar RF, reversible and/or irreversible electroporation, and/or microwave energy modalities. As shown in FIG. 12, the generator 1203 comprises a combined energy modalities power output 1205, a HSW serial interface 1211, an HP serial interface 1213, and a presence interface 1209. In one aspect, the HP serial interface 1213 allows for communication with the HP lines of the surgical instruments 9007, 9008 and also allows for control of the adapter 1215. The generator 1203 provides the combined energy modalities power output 1205 to an adapter 1215. The adapter 1215 comprises energy storage circuit 1217, control circuit 1219, a serial PIO integrated circuit 1233, HSW #1 circuit 1231, HSW #2 circuit 1271, HP switching mechanism 1221, presence switching mechanism 1239, switching mechanism 1235, instrument power monitoring 1237, and unique presence 1241. As shown in FIG. 12, the HSW #1 circuit 1231 and the HSW #2 circuit 1271 may comprise generation and ADC circuits. In one aspect, HSW #1 circuit 1231 and/or HSW #2 circuit 1271 comprise generation circuit with the ability to generate HSW waveforms.


The control circuit 1219 is coupled to the HSW serial interface 1211 of the generator 1203 while the serial PIO integrated circuit 1233 is coupled to the HP serial interface 1213 as is the HP switching mechanism 1221. Further, the control circuit 1119 is coupled to the HSW #1 circuit 1231 and the HSW #2 circuit 1271. The control circuit 1119 may comprise a processor, FPGA, CPLD, PLD, microcontroller, and/or ASIC, for example. In the example shown in FIG. 12, the control circuit 1219 modulates two devices into at least one digital waveform, which enable the generator 1203 to perform the button monitoring and decision making. The control circuit 1219 also may allow for communication to two independent surgical instruments could receive either waveform. The serial PIO integrated circuit 1233 is further coupled to the HP switching mechanism 1221, the instrument power monitoring 1237, and the presence switching mechanism 1239. The instrument power monitoring 1237 and the serial PIO integrated circuit 1233 may communicate results and failures to the generator 1203.


The switching mechanism 1223 is configured to receive the combined RF/ultrasonic energy modalities output power 1205 from the generator 1203 and it may be provided to the energy storage circuit 1225 or the switching mechanism 1235. The control circuit 1219 is also coupled to the storage control 1227 and energy storage monitoring 1229 of the energy storage circuit 1217. The switching mechanism 1235 may provide the power output received from the switching mechanism 1223 to surgical instrument 9007, and/or surgical instrument 9008. The instrument power monitoring 1237 is coupled to the channels for the power output to the surgical instrument 9007 and surgical instrument 9008. The instrument power monitoring 1237 also may ensure that the switching mechanism 1235 is delivering power to correct location.


The HSW #1 circuit 1231 and the HSW #2 circuit 1271 are coupled to the HSW 1-wire serial protocol interfaces 9013, 9014 of the surgical instruments 9007, 9008, respectively. The HP switching mechanism 1221 is coupled to the HP serial interface 1213 of the generator 1203 and to the HP 1-wire serial protocol interfaces 9015, 9016 of the surgical instruments 9007, 9008, respectively. Further, the presence switching mechanism 1239 is coupled to the presence interface 1209 of the generator 1203 and to the presence interfaces 9017, 9018 of the surgical instruments 9007, 9008, respectively. Further, Presence Switching mechanism is coupled to the unique presence 1241. In one aspect, different instrument presence elements may be switched on an on-demand basis using serial I/O or an adapter micro protocol.


A first communications protocol will be used to communicate to the control circuit 1219 on the adapter 1215. The generator 1203 also may have the ability to monitor surgical instruments 9007, 9008 at once. The adapter 1215 may comprise circuit to provide HSW signal generation (e.g., in HSW #1 circuit 1231 and HSW #2 circuit 1271) along with ADC circuits to interpret this data. The adapter 1215 may modulate two surgical instrument signals into at least a first waveform and may have the ability to read in the first and second waveforms. In various aspects, the second waveforms may be interpreted and translated into the format of the first waveforms. Further, the first protocol has the ability to send 12 bits at 615 bits/sec.


The control circuit 1219 may take the HSW data from surgical instruments 9007, 9008 and modulate it into a first protocol. There are a few ways of doing this, but it may mean that surgical instruments 9007, 9008 may comprise a first protocol functionality. The system 1201 could communicate 4-6 buttons from the surgical instrument 9007 and 4-6 buttons from the surgical instrument 9008 in the first protocol frame. Alternatively, the system 1201 could use some form of addressing to access the surgical instruments 9007, 9008. The control circuit 1219 may have the ability to address separate devices by having the generator 1203 send the control circuit 1219 different addresses split into two different address spaces, one for surgical instrument 9007 and one for surgical instrument 9008.


The HP communications may involve some form of switch that could either be controlled via a serial I/O device or through the control circuit 1219 via a first protocol style communication interface from the generator 1203. In one aspect, energy storage monitoring 1229 and switching between surgical instruments 9007, 9008 and charging states could be handled in this manner as well. Certain first protocol addresses could be assigned to the data from the energy storage circuit 1225 and to the surgical instruments 9007, 9008 themselves. Presence elements could also be switched in with this format. Further, in one aspect, the control circuit 1219 may translate frames into a separate format, which may mean that the control circuit 1219 might need to make some decisions on whether button presses on surgical instruments 9007, 9008 are valid or not. The system 1201 would, however, allow the generator 1203 to fully monitor the surgical instruments 9007, 9008 at the same time time-slicing or handling a new communications protocol on the HSW serial interface 1211 of the generator 1203. The system 1201 uses generator communications to simultaneously detect the activity of two surgical instruments, even during activation.


The surgical instruments described herein may be configured to deliver energy from any of the generators 100, 200, 300, 400, 500, 9001, 1003, 1103, 1203 discussed herein. The energy may be dynamically changed based on the type of tissue being treated by an end effector of a surgical instrument and various characteristics of the tissue. For conciseness and clarity of disclosure any of the generators 100, 200, 300, 400, 500, 9001, 1003, 1103, 1203 described hereinabove will be described hereinbelow as generator 100. It will be appreciated that in this context the generator 100 may comprise functional circuits and algorithms described in connection with the generators 200, 300, 400, 500, 9001, 1003, 1103, 1203, taken alone or in combination, as may be appropriate without departing from the scope of the present disclosure. Accordingly, the reader is directed to the description of the functional blocks of the generators 200, 300, 400, 500, 9001, 1003, 1103, 1203, in FIGS. 1-3 and 5-12 for additional details that may be necessary to understand and practice the logic flow diagrams described hereinbelow in connection with the generator 100.


In one aspect, the generator 100 is coupled to the combination RF electrosurgical/ultrasonic instrument 108 shown and described in connection with FIG. 2. The generator 100 may include an algorithm for controlling the power output of the generator 100 delivered to the end effector 125 of the surgical instrument 108. The power output may be varied based on feedback that represents the tissue type located clamp arm 146 and the ultrasonic blade 149 of the end effector 125. Accordingly, the energy profile of the generator 100 may be dynamically altered during the procedure based on the type of tissue being effected by the end effector 125 of the surgical instrument 108. Various algorithms for determining tissue type are described in U.S. patent application Ser. No. 15/177,430, titled SURGICAL INSTRUMENT WITH USER ADAPTABLE TECHNIQUES, filed on Jun. 9, 2016, the contents of which are incorporated herein by reference in their entirety. The generator 100 is configurable for use with different surgical instruments of different types including, for example, the multifunction surgical instrument 108 that integrates electrosurgical RF and ultrasonic energies delivered simultaneously from the generator 100.


According to the present disclosure, the generator 100 may be configured to output an analog output signal usually in the form of a sinusoid at some predetermined frequency or wavelength. The output signal may be characterized by a variety of different types, frequencies, and shapes of electrical signal waveforms suitable for effecting a desired therapy to the tissue. Electrical signal waveforms are basically visual representations of the variation of voltage or current along the vertical axis over time along the horizontal axis represent the shape of the waveform as shown in FIGS. 13-17, for example. The generator 100 includes circuitry and algorithms configured to generate many different types of electrical signal waveforms. In one aspect, the generator 100 is configured to generate electrical signal waveforms using digital signal processing techniques. In one aspect, the generator 100 comprises a memory, DDS circuit (FIGS. 13, 14), a DAC circuit, and a power amplifier configured as discussed hereinbelow to generate a variety of continuous output signals in a variety of electrical waveforms selected based on the tissue type or other feedback information.


In one aspect, the generator 100 is 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 FPGA, or any suitable non-volatile memory. FIG. 13 depicts one aspect of a fundamental architecture for a digital synthesis circuit such as a direct digital synthesis (DDS) circuit 1300 configured to generate a plurality of wave shapes for the electrical signal waveform. The generator 100 software and digital controls may command the FPGA to scan the addresses in the lookup table 1304 which in turn provides varying digital input values to a DAC circuit 1308 that feeds a power amplifier. The addresses may be scanned according to a frequency of interest. Using such a lookup table 1304 enables generating various types of wave shapes that can be fed into tissue or into a transducer, an RF electrode, multiple transducers simultaneously, multiple RF electrodes simultaneously, or a combination of RF and ultrasonic instruments. Furthermore, multiple wave shape lookup tables 1304 can be created, stored, and applied to tissue from a single generator 100.


The waveform signal may be configured to control at least one of an output current, an output voltage, or an output power of an ultrasonic transducer and/or an RF electrode, or multiples thereof (e.g. two or more ultrasonic transducers and/or two or more RF electrodes). Further, where the surgical instrument comprises an ultrasonic components, the waveform signal may be configured to drive at least two vibration modes of an ultrasonic transducer of the at least one surgical instrument. Accordingly, a generator may be configured to provide a waveform signal to at least one surgical instrument wherein the waveform signal corresponds to at least one wave shape of a plurality of wave shapes in a table. Further, the waveform signal provided to the two surgical instruments may comprise two or more wave shapes. The table may comprise information associated with a plurality of wave shapes and the table may be stored within the generator. In one embodiment or example, the table may be a direct digital synthesis table, which may be stored in an FPGA of the generator. The table may be addressed by anyway that is convenient for categorizing wave shapes. According to one embodiment, the table, which may be a direct digital synthesis table, is addressed according to a frequency of the waveform signal. Additionally, the information associated with the plurality of wave shapes may be stored as digital information in the table.


The analog electrical signal waveform may be configured to control at least one of an output current, an output voltage, or an output power of an ultrasonic transducer and/or an RF electrode, or multiples thereof (e.g., two or more ultrasonic transducers and/or two or more RF electrodes). Further, where the surgical instrument comprises ultrasonic components, the analog electrical signal waveform may be configured to drive at least two vibration modes of an ultrasonic transducer of the at least one surgical instrument. Accordingly, the generator 100 may be configured to provide an analog electrical signal waveform to at least one surgical instrument wherein the analog electrical signal waveform corresponds to at least one wave shape of a plurality of wave shapes stored in a lookup table 1304. Further, the analog electrical signal waveform provided to the two surgical instruments may comprise two or more wave shapes. The lookup table 1304 may comprise information associated with a plurality of wave shapes and the lookup table 1304 may be stored either within the generator 100 or the surgical instrument. In one embodiment or example, the lookup table 1304 may be a direct digital synthesis table, which may be stored in an FPGA of the generator 100 or the surgical instrument. The lookup table 1304 may be addressed by anyway that is convenient for categorizing wave shapes. According to one aspect, the lookup table 1304, which may be a direct digital synthesis table, is addressed according to a frequency of the desired analog electrical signal waveform. Additionally, the information associated with the plurality of wave shapes may be stored as digital information in the lookup table 1304.


With the widespread use of digital techniques in instrumentation and communications systems, a digitally-controlled method of generating multiple frequencies from a reference frequency source has evolved and is referred to as direct digital synthesis. The basic architecture is shown in FIG. 13. In this simplified block diagram, a DDS circuit is coupled to a processor, controller, or a logic device of the generator 100 and to a memory circuit located either in the generator 100 or the surgical instrument 104, 106, 108 (FIG. 1). The DDS circuit 1300 comprises an address counter 1302, lookup table 1304, a register 1306, a DAC circuit 1308, and a filter 1312. A stable clock fc is received by the address counter 1302 and the register 1306 drives a programmable-read-only-memory (PROM) which stores one or more integral number of cycles of a sinewave (or other arbitrary waveform) in a lookup table 1304. As the address counter 1302 steps through each memory location, values stored in the lookup table 1304 are written to a register 1306, which is coupled to a DAC circuit 1308. The corresponding digital amplitude of the signal at each location of the lookup table 1304 drives the DAC circuit 1308, which in turn generates an analog output signal 1310. The spectral purity of the analog output signal 1310 is determined primarily by the DAC circuit 1308. The phase noise is basically that of the reference clock fc. The first analog signal 1310 output from the DAC circuit 1308 is filtered by the filter 1312 and a second analog output signal 1314 output by the filter 1312 is provided to an amplifier having an output coupled to the output of the generator 100. The second analog output signal has a frequency fout.


Because the DDS circuit 1300 is a sampled data system, issues involved in sampling must be considered: quantization noise, aliasing, filtering, etc. For instance, the higher order harmonics of the DAC circuit 1308 output frequencies fold back into the Nyquist bandwidth, making them unfilterable, whereas, the higher order harmonics of the output of phase-locked-loop (PLL) based synthesizers can be filtered. The lookup table 1304 contains signal data for an integral number of cycles. The final output frequency fout can be changed changing the reference clock frequency fc or by reprogramming the PROM.


The DDS circuit 1300 may comprise multiple lookup tables 1304 where each lookup table 1304 stores a waveform represented by a predetermined number of samples, wherein the samples define a predetermined shape of the waveform. Thus multiple waveforms, each having a unique shape, can be stored in multiple lookup tables 1304 to provide different tissue treatments based on instrument settings or tissue feedback. Examples of waveforms include high crest factor RF electrical signal waveforms for surface tissue coagulation, low crest factor RF electrical signal waveform for deeper tissue penetration, and electrical signal waveforms that promote efficient touch-up coagulation. In one aspect, the DDS circuit 1300 can create multiple wave shape lookup tables 1304 and during a tissue treatment procedure (e.g., “on-the-fly” or in virtual real time based on user or sensor inputs) switch between different wave shapes stored in different lookup tables 1304 based on the tissue effect desired and/or tissue feedback. Accordingly, switching between wave shapes can be based on tissue impedance and other factors, for example. In other aspects, the lookup tables 1304 can store electrical signal waveforms shaped to maximize the power delivered into the tissue per cycle (i.e., trapezoidal or square wave). In other aspects, the lookup tables 1304 can store wave shapes synchronized in such way that they make maximizing power delivery by the multifunction surgical instrument 108 when it delivering both RF and ultrasonic drive signals. In yet other aspects, the lookup tables 1304 can store electrical signal waveforms to drive both ultrasonic and RF therapeutic, and/or sub-therapeutic, energy simultaneously while maintaining ultrasonic frequency lock. Custom wave shapes specific to different instruments and their tissue effects can be stored in the non-volatile memory of the generator 100 or in the non-volatile memory (e.g., EEPROM) of the multifunction surgical instrument 108 and be fetched upon connecting the multifunction surgical instrument 108 to the generator 100. An example of an exponentially damped sinusoid, as used in many high crest factor “coagulation” waveforms is shown in FIG. 15.


A more flexible and efficient implementation of the DDS circuit 1300 employs a digital circuit called a Numerically Controlled Oscillator (NCO). A block diagram of a more flexible and efficient digital synthesis circuit such as a DDS circuit 1400 is shown in FIG. 15. In this simplified block diagram, a DDS circuit 1400 is coupled to a processor, controller, or a logic device of the generator 100 and to a memory circuit located either in the generator 100 or the surgical instrument 104, 106, 108 (FIG. 1). The DDS circuit 1400 comprises a load register 1402, a parallel delta phase register 1404, an adder circuit 1416, a phase register 1408, a lookup table 1410 (phase-to-amplitude converter), a DAC circuit 1412, and a filter 14142. The adder circuit 1416 and the phase register 1408 a form part of a phase accumulator 1406. A clock signal fc is applied to the phase register 1408 and the DAC circuit 1412. The load register 1402 receives a tuning word that specifies output frequency as a fraction of the reference clock frequency fc. The output of the load register 1402 is provided to a parallel delta phase register 1404 with a tuning word M.


The DDS circuit 1400 includes a sample clock that generates a clock frequency fc, a phase accumulator 1406, and a lookup table 1410 (e.g., phase to amplitude converter). The content of the phase accumulator 1406 is updated once each clock cycle fc. Each time the phase accumulator 1406 is updated, the digital number, M, stored in the parallel delta phase register 1404 is added to the number in the phase register 1408 by an adder circuit 1416. Assuming that the number in the parallel delta phase register 1404 is 00 . . . 01 and that the initial contents of the phase accumulator 1406 is 00 . . . 00. The phase accumulator 1406 is updated by 00 . . . 01 on each clock cycle. If the phase accumulator 1406 is 32-bits wide, 232 clock cycles (over 4 billion) are required before the phase accumulator 1406 returns to 00 . . . 00, and the cycle repeats.


The truncated output 1418 of the phase accumulator 1406 is provided to a phase-to amplitude converter lookup table 1410 and the output of the lookup table 1410 is coupled to a DAC circuit 1412. The truncated output 1418 of the phase accumulator 1406 serves as the address to a sine (or cosine) lookup table. Each address in the lookup table corresponds to a phase point on the sinewave from 0° to 360°. The lookup table 1410 contains the corresponding digital amplitude information for one complete cycle of a sinewave. The lookup table 1410 therefore maps the phase information from the phase accumulator 1406 into a digital amplitude word, which in turn drives the DAC circuit 1412. The output of the DAC circuit is a first analog signal 1420 and is filtered by a filter 1414. The output of the filter 1414 is a second analog signal 1422, which is provided to a power amplifier 212, 326, 426, 506 (FIGS. 5-8) coupled to the output of the generator 100.


In one aspect, the electrical signal waveform may be digitized into 1024 (210) phase points, although the wave shape may be digitized is any suitable number of 2n phase points ranging from 256 (28) to 281,474,976,710,656 (248), where n is a positive integer, as shown in TABLE 1. The electrical signal waveform may be expressed as Ann), where a normalized amplitude An at a point n is represented by a phase angle θn is referred to as a phase point at point n. The number of discrete phase points n determines the tuning resolution of the DDS circuit 1400 (as well as the DDS circuit 1300 shown in FIG. 13).












TABLE 1







n
Number of Phase Points 2n



















 8
256



10
1,024



12
4,096



14
16,384



16
65,536



18
262,144



20
1,048,576



22
4,194,304



24
16,777,216



26
67,108,864



28
268,435,456



. . .
. . .



32
4,294,967,296



. . .
. . .



48
281,474,976,710,656



. . .
. . .










The generator 100 algorithms and digital control circuits scan the addresses in the lookup table 1410, which in turn provides varying digital input values to the DAC circuit 1412 that feeds the filter 1414 and the power amplifier. The addresses may be scanned according to a frequency of interest. Using the lookup table enables generating various types of shapes that can be converted into an analog output signal by the DAC circuit 1412, filtered by the filter 1414, amplified by the power amplifier coupled to the output of the generator 100, and fed to the tissue in the form of RF energy or fed to an ultrasonic transducer and applied to the tissue in the form of ultrasonic vibrations which deliver energy to the tissue in the form of heat. The output of the amplifier can be applied to a single RF electrode, multiple RF electrodes simultaneously, a single ultrasonic transducer, multiple ultrasonic transducers simultaneously, or a combination of RF and ultrasonic transducers, for example. Furthermore, multiple wave shape tables can be created, stored, and applied to tissue from a single generator 100.


With reference back to FIG. 14, for n=32, and M=1, the phase accumulator 1406 steps through each of 232 possible outputs before it overflows and restarts. The corresponding output wave frequency is equal to the input clock frequency divided by 232. If M=2, then the phase register 1408 “rolls over” twice as fast, and the output frequency is doubled. This can be generalized as follows.


For an n-bit phase accumulator 1406 (n generally ranges from 24 to 32 in most DDS systems, but as previously discussed n may be selected from a wide range of options), there are 2n possible phase points. The digital word in the delta phase register, M, represents the amount the phase accumulator is incremented each clock cycle. If fc is the clock frequency, then the frequency of the output sinewave is equal to:










f
o

=


M
·

f
c



2
n






Eq
.




1








Equation 1 is known as the DDS “tuning equation.” Note that the frequency resolution of the system is equal to fc/2n. For n=32, the resolution is greater than one part in four billion. In one aspect of the DDS circuit 1400, not all of the bits out of the phase accumulator 1406 are passed on to the lookup table 1410, but are truncated, leaving only the first 13 to 15 most significant bits (MSBs), for example. This reduces the size of the lookup table 1410 and does not affect the frequency resolution. The phase truncation only adds a small but acceptable amount of phase noise to the final output.


The electrical signal waveform may be characterized by a current, voltage, or power at a predetermined frequency. Further, where the multifunction surgical instrument 108 comprises ultrasonic components, the electrical signal waveform may be configured to drive at least two vibration modes of an ultrasonic transducer of the at least one multifunction surgical instrument 108. Accordingly, the generator 100 may be configured to provide an electrical signal waveform to at least one multifunction surgical instrument 108 wherein the electrical signal waveform is characterized by a predetermined wave shape stored in the lookup table 1410 (or lookup table 1304FIG. 13). Further, the electrical signal waveform may be a combination of two or more wave shapes. The lookup table 1410 may comprise information associated with a plurality of wave shapes. In one aspect or example, the lookup table 1410 may be generated by the DDS circuit 1400 and may be referred to as a direct digital synthesis table. DDS works by first storing a large repetitive waveform in onboard memory. Any single cycle of a waveform (sine, triangle, square, arbitrary) can be represented by a predetermined number of phase points as shown in TABLE 1 and stored into memory. Once the waveform is stored into memory, it can be generated at very precise frequencies. The direct digital synthesis table may be stored in a non-volatile memory of the generator 100 and/or may be implemented with a FPGA circuit in the generator 100. The lookup table 1410 may be addressed by any suitable technique that is convenient for categorizing wave shapes. According to one aspect, the lookup table 1410 is addressed according to a frequency of the electrical signal waveform. Additionally, the information associated with the plurality of wave shapes may be stored as digital information in a memory or as part of the lookup table 1410.


In one aspect, the generator 100 may be configured to provide electrical signal waveforms to at least two surgical instruments simultaneously. The generator 100 also may be configured to provide the electrical signal waveform, which may be characterized two or more wave shapes, via a single output channel of the generator 100 to the two surgical instruments simultaneously. For example, in one aspect the electrical signal waveform comprises a first electrical signal to drive an ultrasonic transducer (e.g., ultrasonic drive signal), a second RF drive signal, and/or a combination of both. In addition, an electrical signal waveform may comprise a plurality of ultrasonic drive signals, a plurality of RF drive signals, and/or a combination of a plurality of ultrasonic and RF drive signals.


In addition, a method of operating the generator 100 according to the present disclosure comprises generating an electrical signal waveform and providing the generated electrical signal waveform to at least one multifunction surgical instrument 108, where generating the electrical signal waveform comprises receiving information associated with the electrical signal waveform from a memory. The generated electrical signal waveform comprises at least one wave shape. Furthermore, providing the generated electrical signal waveform to the at least one multifunction surgical instrument 108 comprises providing the electrical signal waveform to at least two surgical instruments simultaneously.


The generator 100 as described herein may allow for the generation of various types of direct digital synthesis tables. Examples of wave shapes for RF/Electrosurgery signals suitable for treating a variety of tissue generated by the generator 100 include RF signals with a high crest factor (which may be used for surface coagulation in RF mode), a low crest factor RF signals (which may be used for deeper tissue penetration), and waveforms that promote efficient touch-up coagulation. The generator 100 also may generate multiple wave shapes employing a direct digital synthesis lookup table 1410 and, on the fly, can switch between particular wave shapes based on the desired tissue effect. Switching may be based on tissue impedance and/or other factors.


In addition to traditional sine/cosine wave shapes, the generator 100 may be configured to generate wave shape(s) that maximize the power into tissue per cycle (i.e., trapezoidal or square wave). The generator 100 may provide wave shape(s) that are synchronized to maximize the power delivered to the load when driving both RF and ultrasonic signals simultaneously and to maintain ultrasonic frequency lock, provided that the generator 100 includes a circuit topology that enables simultaneously driving RF and ultrasonic signals. Further, custom wave shapes specific to instruments and their tissue effects can be stored in a non-volatile memory (NVM) or an instrument EEPROM and can be fetched upon connecting the multifunction surgical instrument 108 to the generator 100.


The DDS circuit 1400 may comprise multiple lookup tables 1304 where each lookup table 1410 stores a waveform represented by a predetermined number of phase points (also may be referred to as samples), wherein the phase points define a predetermined shape of the waveform. Thus multiple waveforms, each having a unique shape, can be stored in multiple lookup tables 1410 to provide different tissue treatments based on instrument settings or tissue feedback. Examples of waveforms include high crest factor RF electrical signal waveforms for surface tissue coagulation, low crest factor RF electrical signal waveform for deeper tissue penetration, and electrical signal waveforms that promote efficient touch-up coagulation. In one aspect, the DDS circuit 1400 can create multiple wave shape lookup tables 1410 and during a tissue treatment procedure (e.g., “on-the-fly” or in virtual real time based on user or sensor inputs) switch between different wave shapes stored in different lookup tables 1410 based on the tissue effect desired and/or tissue feedback. Accordingly, switching between wave shapes can be based on tissue impedance and other factors, for example. In other aspects, the lookup tables 1410 can store electrical signal waveforms shaped to maximize the power delivered into the tissue per cycle (i.e., trapezoidal or square wave). In other aspects, the lookup tables 1410 can store wave shapes synchronized in such way that they make maximizing power delivery by the multifunction surgical instrument 108 when it delivering both RF and ultrasonic drive signals. In yet other aspects, the lookup tables 1410 can store electrical signal waveforms to drive both ultrasonic and RF therapeutic, and/or sub-therapeutic, energy simultaneously while maintaining ultrasonic frequency lock. Custom wave shapes specific to different instruments and their tissue effects can be stored in the non-volatile memory of the generator 100 or in the non-volatile memory (e.g., EEPROM) of the multifunction surgical instrument 108 and be fetched upon connecting the multifunction surgical instrument 108 to the generator 100. An example of an exponentially damped sinusoid, as used in many high crest factor “coagulation” waveforms is shown in FIG. 19.


Examples of waveforms representing energy for delivery from a generator are illustrated in FIGS. 15-19. FIG. 15 illustrates an example graph 600 showing first and second individual waveforms representing an RF output signal 602 and an ultrasonic output signal 604 superimposed on the same time and voltage scale for comparison purposes. These output signals 602, 604 are provided at the ENERGY output of the generator 100. Time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. The RF output signal 602 has a frequency of about 330 kHz RF and a peak-to-peak voltage of ±1V. The ultrasonic output signal 604 has a frequency of about 55 kHz and a peak-to-peak voltage of ±1V. It will be appreciated that the time (t) scale along the horizontal axis and the voltage (V) scale along the vertical axis are normalized for comparison purposes and may be different actual implementations, or represent other electrical parameters such as current.



FIG. 16 illustrates an example graph 610 showing the sum of the two output signals 602, 604 shown in FIG. 15. Time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. The sum of the RF output signal 602 and the ultrasonic output signal 604 shown in FIG. 15 produces a combined output signal 612 having a 2V peak-to-peak voltage, which is twice the amplitude of the original RF and ultrasonic signals shown (1V peak-to-peak) shown in FIG. 15. An amplitude of twice the original amplitude can cause problems with the output section of the generator, such as distortion, saturation, clipping of the output, or stresses on the output components. Thus, the management of a single combined output signal 612 that has multiple treatment components is an important aspect of the generator 500 shown in FIG. 8. There are a variety of ways to achieve this management. In one form, one of the two RF or ultrasonic output signals 602, 604 can be dependent on the peaks of the other output signal. In one aspect, the RF output signal 602 may depend on the peaks of the ultrasonic signal 604, such that the output is reduced when a peak is anticipated. Such a function and resulting waveform is shown in FIG. 17


For example, FIG. 17 illustrates an example graph 620 showing a combined output signal 622 representative of a dependent sum of the output signals 602, 604 shown in FIG. 15. Time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. As shown in FIG. 17, the RF output signal 602 component of FIG. 15 depends on the peaks of the ultrasonic output signal 604 component of FIG. 15 such that the amplitude of the RF output signal component of the dependent sum combined output signal 622 is reduced when an ultrasonic peak is anticipated. As shown in the example graph 620 in FIG. 17, the peaks have been reduced from 2 to 1.5. In another form, one of the output signals is a function of the other output signal.


For example, FIG. 18 illustrates an example graph of an analog waveform 630 showing an output signal 632 representative of a dependent sum of the output signals 602, 604 shown in FIG. 15. Time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. As shown in FIG. 18, the RF output signal 602 is a function of the ultrasonic output signal 604. This provides a hard limit on the amplitude of the output. As shown in FIG. 18, the ultrasonic output signal 604 is extractable as a sine wave while the RF output signal 602 has distortion but not in a way to affect the coagulation performance of the RF output signal 602.


A variety of other techniques can be used for compressing and/or limiting the waveforms of the output signals. It should be noted that the integrity of the ultrasonic output signal 604 (FIG. 15) can be more important than the integrity of the RF output signal 602 (FIG. 15) as long as the RF output signal 602 has low frequency components for safe patient levels so as to avoid neuro-muscular stimulation. In another form, the frequency of an RF waveform can be changed on a continuous basis in order to manage the peaks of the waveform. Waveform control is important as more complex RF waveforms, such as a coagulation-type waveform 642, as illustrated in the graph 640 shown in FIG. 19, are implemented with the system. Again, time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. The coagulation-type waveform 642 illustrated in FIG. 19 has a crest factor of 5.8, for example.



FIG. 20 illustrates one cycle of a digital electrical signal waveform 1800 of the analog waveform 630 shown in FIG. 18. The horizontal axis represents Time (t) and the vertical axis represents digital phase points. The digital electrical signal waveform 1800 is a digital version of the desired analog waveform 630 shown in FIG. 18, for example. The digital electrical signal waveform 1800 is generated by storing an amplitude phase point 1802 that represents the amplitude at each clock cycle Tclk over one cycle or period To. The digital electrical signal waveform 1800 is generated over one period To by any suitable digital processing circuit. The amplitude phase points are digital words stored in a memory circuit. In the example illustrated in FIG. 20, the digital word is a six-bit word that is capable of storing the amplitude phase points with a resolution of 26 or 64 bits. It will be appreciated that the example shown in FIG. 20 is for illustrative purposes and in actual implementations the resolution can be much higher. The digital amplitude phase points 1802 over one cycle To are stored in the memory as a string of string words in a lookup table 11304, 1410 as described in connection with FIGS. 13 and 14, for example. To generate the analog version of the waveform 630, the amplitude phase points 1802 are read sequentially from the memory from 0 to To at each clock cycle Tclk and are converted by a DAC circuit 1308, 1412, also described in connection with FIGS. 13 and 14. Additional cycles can be generated by repeatedly reading the amplitude phase points 1802 of the digital electrical signal waveform 1800 the from 0 to To for as many cycles or periods as may be desired. The smooth analog version of the waveform 630 (also shown in FIG. 18) is achieved by filtering the output of the DAC circuit 1308, 1412 by a filter 1312, 1414 (FIGS. 13 and 14). The filtered analog output signal 1314, 1422 (FIGS. 13 and 14) is applied to the input of a power amplifier 212, 326, 426, 506 (FIGS. 5-8).



FIGS. 21-23 are logic flow diagrams of methods 1500, 1600, 1700 of generating an electrical signal waveform by any of the generators 100, 200, 300, 400, 500, 9001, 1003, 1103, 1203 described herein. For conciseness and clarity the generators 100, 200, 300, 400, 500, 9001, 1003, 1103, 1203 will be referred to as the generator 100. Accordingly, the generator 100 is representative of the generators 200, 300, 400, 500, 9001, 1003, 1103, 1203 described herein. The methods 1500, 1600, 1700 will be described with reference to FIGS. 1, 13, 14, and 20 and FIGS. 5-8. The generator 100 comprises a digital processing circuit, a DDS circuit 1300, 1400, a memory circuit defining a lookup table 1304, 1410, and DAC circuit 1308, 1412, as described herein. The digital processing circuit may comprise any digital processing circuit, microprocessor, microcontroller, digital signal processor, logic device comprising combinational logic or sequential logic circuits, or any suitable digital circuit. The memory circuit may be located either in the surgical instrument 104, 106, 108 or the generator 100. In one aspect, the DDS circuit 1300, 1400 is coupled to the digital processing circuit and the memory circuit. In another aspect, the memory circuit is part of the DDS circuit 1300, 1400.


In various aspects, the generator 100 may be configured to drive multiple surgical instruments 104, 106, 108 simultaneously. Thus the generator 100 may be configured to drive the surgical instruments 104, 106, 108 in multiple vibration modes to achieve a longer active length at the ultrasonic blade 128, 149 and to create different tissue effects.


According to one of the present disclosure, the generator 100 may be configured to provide ultrasonic electrical signal waveforms defining a number of wave shapes to the surgical instrument 104, 108 to provide a desired therapy to tissue at the end effector 122, 125.


In one aspect, the generator 100 may be configured to generate a digital electrical signal waveform such that the desired wave shape can be digitized by a number of phase points or samples which are stored in a lookup table 1304, 1410 defined in volatile or non-volatile memory as discussed above in connection with FIGS. 13 and 14, for example. The phase points or samples may be stored in the lookup table 1304, 1410 defined in a FPGA, for example. The wave shape may be digitized into a number of phase points or samples as shown in TABLE 1. In one aspect, the wave shape may be digitized into 1024 phase points, for example. The digital processing circuit of the generator 100 may control by software or digital control the FPGA to scan the addresses in the lookup table 1304, 1410 which in turn provides varying digital input values to the DAC circuit 1308, 1412 that feeds a power amplifier 212, 326, 426, 506. The addresses may be scanned according to a frequency of interest. Using such the lookup table 1304, 1410 enables generating various types of wave shapes that can be used to drive the surgical instruments 104, 106, 108 simultaneously. Furthermore, multiple wave shape lookup tables 1304, 1410 can be created, stored, and applied to tissue from a single generator 100.


In one aspect, the electrical signal waveforms may be defined by an output current, an output voltage, an output power, or frequency suitable to drive the ultrasonic transducer 120 or multiple ultrasonic transducers (e.g. two or more ultrasonic transducers). In the case of the multifunction surgical instrument 108, in addition to driving the ultrasonic transducer 120, the electrical signal waveforms may be defined by an output current, an output voltage, an output power, or frequency suitable to drive the electrodes located in the end effector 125 of the multifunction surgical instrument 108.


Further, in one aspect where the surgical instrument 104, 108 comprises ultrasonic components, the electrical signal waveform may be configured to drive at least two vibration modes of the ultrasonic transducer 120. Accordingly, a generator 100 may be configured to provide a electrical signal waveform to at least one surgical instrument 104, 108 wherein the electrical signal waveform defines at least one wave shape selected out of a plurality of wave shapes stored in the lookup table 1304, 1410. Further, the electrical signal waveform provided to the two surgical instruments 104, 108 may define two or more wave shapes. The lookup table 1304, 1410 may comprise information associated with a plurality of wave shapes and the lookup table 1304, 1410 may be stored in a memory located either in the generator 100 or the surgical instruments 104, 108. In one embodiment or example, the lookup table 1304, 1410 may be a direct digital synthesis table, which may be stored in an FPGA located in the generator 100 or the surgical instruments 104, 108. The lookup table 1304, 1410 may be addressed using any suitable technique for categorizing wave shapes. According to one aspect, the DDS lookup table 1304, 1410 may be addressed according to the frequency of the electrical signal waveform. Additional information associated with the plurality of wave shapes also may be stored as digital information in the DDS lookup table 1304, 1410.


In one aspect, the generator 100 may comprise a DAC circuit 1308, 1412 and a power amplifier 212, 326, 426, 506. The DAC circuit 1308, 1412 is coupled to the power amplifier 212, 326, 426, 506 such that the DAC circuit 1308, 1412 provides the analog electrical signal waveform to a filter 1312, 1414 and the output of the filter 1312, 1414 is provided to the power amplifier 212, 326, 426, 506. The output of the power amplifier 212, 326, 426, 506 is provided to the surgical instrument 104, 108.


Further, in one aspect the generator 100 may be configured to provide the electrical signal waveform to the surgical instruments 104, 106, 108 simultaneously. This may be accomplished through a single output port or channel of the generator 100. The generator 100 also may be configured to provide the electrical signal waveform, which may define two or more wave shapes, via a single output port or channel to the two surgical instruments 104, 108 simultaneously. The analog signal output of the generator 100 may define multiple wave shapes to one or more than one surgical instruments 104, 108. For example, in one aspect, the electrical signal waveform comprises multiple ultrasonic drive signals. In another aspect, the electrical signal waveform comprises multiple ultrasonic drive signals and one or more than one RF signals. Accordingly, an electrical signal waveform output of the generator 100 may comprise multiple ultrasonic drive signals, multiple RF signals, and/or a combination of multiple ultrasonic drive signals and a RF signals.


In one aspect, the generator 100 as described herein may allow for the creation of various types of DDS lookup tables 1304, 1410 within an FPGA located in the generator 100. Some examples of the wave shapes that may be produced by the generator 100 include high crest factor signals (which may be used for surface coagulation), low crest factor signals (which may be used for deeper tissue penetration), and electrical signal waveforms that promote efficient touch-up coagulation. The generator 100 also may create multiple wave shape lookup tables 1304, 1410. The generator 100 can be configured to switch between different electrical signal waveforms for diving ultrasonic transducers 120 during a procedure (e.g., “on-the-fly” or in virtual real time based on user or sensor inputs) based on desired tissue effects or feedback signals associated with the state of the tissue located in the end effector 122, 125. Switching may be based on tissue impedance, tissue temperature, state of coagulation, state of dissection, and/or other factors.


In one aspect, the generator 100 as described herein also may provide, in addition to the traditional sine wave shape, wave shapes that maximizes the power into tissue per cycle (i.e. trapezoidal, square, or triangular wave shapes). It also may provide wave shapes that are synchronized in a manner that would maximize power delivery in the case of an electrical signal waveform comprises RF and ultrasonic signal components to drive ultrasonic and RF therapeutic energy simultaneously while maintaining ultrasonic frequency lock. Further, custom wave shapes specific to various types of surgical instruments 104, 108 and their tissue effects can be stored in a lookup table 1304, 1410 memory located in the generator 100 or the surgical instrument 104, 108, where the memory may be a volatile (RAM) or non-volatile (EEPROM) memory. The wave shape may be fetched from the lookup table 1304, 1410 memory upon connecting the surgical instrument 104, 108 to the generator 100.


With reference to FIG. 21, in accordance with the method 1500, the generator 100 is configured to generate 1502 one or more than one electrical signal waveform and provide 1504 the generated one or more than one electrical signal waveform to a surgical instrument 104, 106, 108. The generator 100 generates 1502 one or more than one digital electrical signal waveform from one or more lookup tables 1304, 1410 as described in connection with FIGS. 13 and 14. The one or more than one digital electrical signal waveform may be defined by a plurality of wave shapes that are combined to form a complex waveform. The lookup tables 1304, 1410 may be defined in a memory circuit in communication with a digital processing circuit of the generator 100 or the surgical instrument 104, 106, 108. In one aspect, the lookup tables 1304, 1410 may be DDS lookup tables that can be addressed according to a desired frequency of the electrical signal waveforms. In one aspect, the digital electrical signal waveform is a combination of at least two wave shapes. The combined digital electrical signal waveform is provided to the DAC circuit 1308, 1412 circuit and may be filtered by the filter 1312, 1414 and amplified by a power amplifier 212, 326, 426, 506. The combined analog electrical signal waveform may be an ultrasonic drive signal having a frequency of 55 kHz or an RF signal having a frequency of 330 kHz or a combination of the ultrasonic drive signal and the RF signal.


In one aspect, the method 1500 the power amplifier 212, 326, 426, 506 amplifies the analog signal 1310, 1420 output of the DAC circuit 1308, 1412. In addition, according to the method 1500, the digital processing circuit stores phase points of a digital electrical signal waveform in the lookup table 1304, 1410 defined by the memory circuit. The digital processing circuit stores phase points of multiple digital electrical signal waveforms in corresponding multiple lookup tables 1304, 1410 defined by the memory circuit or other memory circuits. Each of the digital electrical signal waveforms is represented by a predetermined number of phase points. Each of the predetermined number of phase points defines a different wave shape. In accordance with the method 1500, the digital processing circuit receives a feedback signal associated with tissue parameters and modifies the predetermined wave shape according to the feedback signal.


In one aspect, the digital electrical signal waveform represents a RF signal waveform, an ultrasonic signal waveform, or a combination thereof. In one aspect, the digital electrical signal waveform represents a combination of two waveforms having different amplitudes. In one aspect, the digital electrical signal waveform represents a combination of two waveforms having different frequencies. In one aspect, digital electrical signal waveform represents a combination of two waveforms having of different amplitudes. In one aspect, the wave shape is a trapezoid, a sine or cosine wave, a square wave, a triangle wave, or any combinations thereof. In one aspect, the digital electrical signal waveform is a combined RF and ultrasonic signal waveform configured to maintain a predetermined ultrasonic frequency. In one aspect, the first digital electrical signal waveform is a combined RF and ultrasonic waveform configured to deliver maximum power output.


According to various aspects, the electrical signal waveform also may be provided to at least two surgical instruments 104, 106, 108 simultaneously. The surgical instruments 104, 106, 108 may comprise instruments that operate the same modalities or different modalities of surgical treatment techniques. In one aspect, the surgical instruments include at least one ultrasonic surgical instrument and at least one RF surgical instrument.


With reference to FIG. 22, in accordance with the method 1600, the digital processing circuit instructs the DDS circuit 1300, 1400 to store 1602 phase points or samples that define a digital electrical signal waveform in a lookup table 1304, 1410 defined in the memory circuit. The digital electrical signal waveform is represented by a predetermined number of phase points that are stored in the lookup table 1304, 1410. The predetermined number of phase points define a predetermined wave shape. The DDS circuit 1300, 1400 receives 1604 a clock signal. At each clock cycle, the DDS circuit 1300, 1400 retrieves 1606 a phase point from the lookup table 1304, 1410 and provides the phase point (e.g., sample) to the DAC circuit 1308, 1412. The DAC circuit 1308, 1412 converts 1608 the phase point of the digital electrical signal waveform into an analog electrical signal output (e.g., a sample/hold output of the DAC circuit 1308, 1412). The analog sample/hold output of the DAC circuit 1308, 1412 is filtered by the filter 1312, 1414 and amplified by a power amplifier 212, 326, 426, 506, for example, before the analog electrical signal waveform is provided to the surgical instrument 104, 106, 108.


The analog electrical signal waveform may be of a type that provides for the application of a particular treatment modality for a surgical instrument connected to the generator. Accordingly, the analog electrical signal waveform may be a RF waveform, an ultrasonic waveform, or a combination thereof. The analog electrical signal waveform may be a combined RF and ultrasonic waveform and the combined RF and ultrasonic waveform may be configured to maintain a predetermined ultrasonic frequency. In one aspect, the predetermined ultrasonic frequency is a frequency lock based on a surgical instrument 104, 106, 108 connected to the generator 100. In another aspect, the analog electrical signal waveform is a combined RF and ultrasonic waveform and the combined RF and ultrasonic waveform is configured to cause a surgical instrument 104, 106, 108 to deliver a maximum power application of the surgical instrument 104, 106, 108 to tissue engaged with the surgical instrument 104, 106, 108. The maximum power application may be based on the maximum power output of a treatment modality of a surgical instrument 104, 106, 108, such as, for example, an RF modality or an ultrasonic modality. According to further aspects, the analog electrical signal waveform may comprise a high crest factor RF signal, a low crest factor RF signal, or a combination thereof and/or the electrical signal waveform may comprise a sine wave shape, a trapezoidal wave shape, a square wave shape, or a combination thereof. The analog electrical signal waveform may also be configured to provide a desired tissue effect or outcome to tissue engaged by a surgical instrument 104, 106, 108 when the analog electrical signal waveform is received by the surgical instrument 104, 106, 108. In one aspect, the desired tissue effect is at least one of cutting, coagulation, or sealing.


The generator 100 also may be configured to switch between digital or analog versions of multiple electrical signal waveforms. For example, the generator 100 may be configured to switch between a first electrical signal waveform and a second electrical signal waveform based on predetermined criteria, such as, for example, a desired tissue effect and/or feedback from a surgical instrument 104, 106, 108, which may include measured values of a tissue parameter. The tissue parameter may include a tissue type, a tissue amount, a tissue state, or a combination thereof. Accordingly, the method 1600 includes storing a plurality of electrical signal waveforms in a plurality of lookup tables defined in a memory circuit. The electrical signal waveforms are represented by a predetermined number of phase points, wherein the phase points define predetermined wave shapes based on desired tissue effects, tissue parameters, or other parameters associated with the surgical instrument 104, 106, 108 connected to the generator 100.


Additionally, digital phase points of the digital electrical signal waveform may be received by the generator 100 from a surgical instrument 104, 106, 108 connected to the generator 100. The generator 100 may receive the phase points following or upon connection of the surgical instrument 104, 106, 108 to the generator 100. The phase points of the digital electrical signal waveform may be stored in an EEPROM of the surgical instrument 104, 106, 108, which is operable coupled to the generator 100 upon connection of the surgical instrument 104, 106, 108 to the generator 100.


In accordance with the method 1600, the digital processing circuit receives a feedback signal associated with tissue parameters. In one aspect, based on the feedback signal the digital processing circuit switches between the phase point of the first digital electrical signal waveform and the phase point of the second digital electrical signal waveform and the DAC circuit 1308, 1412 converts the retrieved phase point. In another aspect, based on the feedback signal the digital processing circuit synchronizes the phase points of the first and second digital electrical signal waveforms to maximize power delivery per cycle and the DAC circuit 1308, 1412 circuit, the synchronized phase points. In one aspect, the first digital electrical signal waveform represents a RF waveform and the second digital electrical signal waveform represents an ultrasonic signal waveform.


With reference to FIG. 23, in accordance with the method 1700, the digital processing circuit instructs the DDS circuit 1300, 1400 to store 1702 a first digital electrical signal waveform in a first lookup table 1304, 1410 defined in the memory circuit. The first digital electrical signal waveform is represented by a first predetermined number of phase points that are stored in the first lookup table 1304, 1410. The first predetermined number of phase points define a first wave shape. The DDS circuit 1300, 1400 receives 1704 a clock signal. At each clock cycle, the DDS circuit 1300, 1400 retrieves 1706 a phase point from the first lookup table 1304, 1410.


In accordance with the method 1700, the digital processing circuit also instructs the DDS circuit 1300, 1400 to store 1708 a second digital electrical signal waveform in a second lookup table 1304, 1410 defined in the memory circuit, or other memory circuit. The second digital electrical signal waveform is represented by a second predetermined number of phase points that are stored in the second lookup table 1304, 1410. The second predetermined number of phase points define a second wave shape. The DDS circuit 1300, 1400 receives 1710 a clock signal. At each clock cycle, the DDS circuit 1300, 1400 retrieves 1712 a phase point from the second lookup table 1304, 1410.


In accordance with the method 1700, the generator 100 or the surgical instrument 104, 106, 108 receives 1714 tissue parameter feedback from sensors in the surgical instrument 104, 106, 108. The feedback may provide information regarding tissue impedance, tissue type, or temperature of the tissue. In other aspects, the feedback may be based on the temperature of the electrode or ultrasonic blade or electrical impedance of the ultrasonic transducer, among other feedback parameters. Based on the tissue parameter feedback, the digital processing circuit determines 1716 whether to switch between the first and second phase points of the first and second electrical signal waveforms or whether to synchronize the first and second phase points of the first and second electrical signal waveforms to maximize power delivery to the tissue per cycle.


If the method 1700 proceeds along the “switch” branch, the digital processing circuit switches 1718 between the phase point of the first digital electrical signal waveform and the phase point of the second digital electrical signal waveform during a tissue treatment procedure (e.g., “on-the-fly” or in virtual real time based on user or sensor inputs). The retrieved phase point of either the first or second electrical signal waveforms is provided to the DAC circuit 1308, 1412. The DAC circuit 1308, 1412 converts 1720 the retrieved phase point of either the first or second electrical signal waveforms to an analog electrical signal. The sample/hold analog output of the DAC circuit 1308, 1412 is filtered by the filter 1312, 1414 and amplified by a power amplifier 212, 326, 426, 506, for example, before the analog electrical signal waveform is provided to the surgical instrument 104, 106, 108.


If the method 1700 proceeds along the “synchronize” branch, the digital processing circuit synchronizes 1722 the phase points of the first and second digital electrical signal waveforms to maximize power delivery per cycle. The synchronized phase points of the first and second digital electrical signal waveforms are provided to the DAC circuit 1308, 1412. The DAC circuit 1308, 1412 converts 1724 the synchronized phase points of the first or second electrical signal waveforms to an analog electrical signal. The analog sample/hold output of the DAC circuit 1308, 1412 is filtered by the filter 1312, 1414 and amplified by a power amplifier 212, 326, 426, 506, for example, before the analog electrical signal waveform is provided to the surgical instrument 104, 106, 108.


In various aspects, the first and second electrical signal waveforms may represent electrical signals having different wave shapes. In one aspect, the first digital electrical signal waveform may represent an RF signal suitable for driving an electrode of an electrosurgical instrument 106 or a multifunction surgical instrument 108 and the second electrical signal waveform may represent an ultrasonic signal for driving an ultrasonic transducer of an ultrasonic instrument 104 or a multifunction surgical instrument 108. The first and second electrical signal waveforms can be delivered separately, simultaneously, individually, or combined in one signal.


Examples of waveforms representing energy for delivery from a generator are illustrated in FIGS. 24-28. FIG. 24 illustrates an example graph 1900 showing first and second individual waveforms representing a first ultrasonic output signal 1902 and a second ultrasonic output signal 1904 superimposed on the same time and voltage scale for comparison purposes. The frequency of the first ultrasonic output signal 1902 is greater than the second ultrasonic output signal 1904. The first and second ultrasonic output signals 1902, 1904 are provided at the ENERGY output of the generator 100. Time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. The first ultrasonic output signal 1902 may have a frequency of about 50 kHz to about 100 kHz and a peak-to-peak voltage of ±1V. The second ultrasonic output signal 604 has a frequency of about 20 kHz to 40 kHz and a peak-to-peak voltage of ±1V. It will be appreciated that the time (t) scale along the horizontal axis and the voltage (V) scale along the vertical axis are normalized for comparison purposes and may be different actual implementations, or represent other electrical parameters such as current. For comparison purposes, frequencies and amplitudes of the first and second ultrasonic output signals 1902, 1904 are not shown to scale. In other aspects, the frequency of the first ultrasonic output signal 1902 is the same as the frequency of the second ultrasonic output signal 1904. In one aspect, the first and second ultrasonic output signals 1902, 1904 may be combined as a sum as described in connection with FIG. 25.



FIG. 25 illustrates an example graph 1910 showing the sum of the first and second ultrasonic output signals 1902, 1904 shown in FIG. 24. Time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. The sum of the first ultrasonic output signal 1902 and the second ultrasonic output signal 1904 shown in FIG. 24 produces a combined output signal 1912 having a 2V peak-to-peak voltage, which is twice the amplitude of the original first and second ultrasonic output signals 1902, 1904 shown (1V peak-to-peak) shown in FIG. 24. An amplitude of twice the original amplitude can cause problems with the output section of the generator, such as distortion, saturation, clipping of the output, or stresses on the output components. Thus, the management of a single combined output signal 1912 that has multiple treatment components is an important aspect of the generator 500 shown in FIG. 8. There are a variety of ways to achieve this management. In one form, one of the first and second ultrasonic output signals 1902, 1904 can be dependent on the peaks of the other output signal. In one aspect, the first and second ultrasonic output signals 1902, 1904 may be combined with one or more than one RF output signals.


For example, FIG. 26 illustrates an example graph 1920 showing a combined output signal 1922 representative of a dependent sum of the first and second ultrasonic output signals 1902, 1904 shown in FIG. 24. Time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. As shown in FIG. 26, the first ultrasonic output signal 1902 component of FIG. 24 depends on the peaks of the second ultrasonic output signal 1904 component of FIG. 24 such that the amplitude of the first ultrasonic output signal component of the dependent sum combined output signal 1922 is reduced when a peak of the second ultrasonic signal is anticipated. As shown in the example graph 1920 in FIG. 26, the peaks have been reduced from 2 to 1.5. In another form, one of the output signals is a function of the other output signal. As previously discussed, in one aspect, the combined output signal may comprise RF signal components as well as ultrasonic signal components.


For example, FIG. 27 illustrates an example graph of an analog waveform 1930 showing an output signal 1932 representative of a dependent sum of the first and second ultrasonic output signals 1902, 1904 shown in FIG. 24. Time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. As shown in FIG. 27, the first ultrasonic output signal 1902 is a function of the second ultrasonic output signal 1904. This provides a hard limit on the amplitude of the output. As shown in FIG. 27, the second ultrasonic output signal 1904 is extractable as a sine wave while the first ultrasonic output signal 1902 has distortion but not in a way to affect the coagulation performance of the first ultrasonic output signal 1902.


A variety of other techniques can be used for compressing and/or limiting the waveforms of the output signals. It should be noted that the integrity of the second ultrasonic output signal 1904 (FIG. 24) can be more important than the integrity of the first ultrasonic output signal 1902 (FIG. 24) as long as the first ultrasonic output signal 1902 has low frequency components for safe patient levels so as to avoid neuro-muscular stimulation. In another form, the frequency of an ultrasonic waveform can be changed on a continuous basis in order to manage the peaks of the waveform. Waveform control is important as more complex ultrasonic waveforms, such as a coagulation-type waveform 1942, as illustrated in the graph 1940 shown in FIG. 28, are implemented with the system. Again, time (t) is shown along the horizontal axis and voltage (V) is shown along the vertical axis. The coagulation-type waveform 1942 illustrated in FIG. 28 has a crest factor of 5.8, for example.



FIG. 29 illustrates one cycle of a digital electrical signal waveform 1950 of the analog waveform 1930 shown in FIG. 27. The horizontal axis represents Time (t) and the vertical axis represents digital phase points. The digital electrical signal waveform 1950 is a digital version of the desired analog waveform 1930 shown in FIG. 27, for example. The digital electrical signal waveform 1950 is generated by storing a phase point 1952 that represents the amplitude at each clock cycle Tclk over one cycle or period To. The digital electrical signal waveform 1950 is generated over one period To by any suitable digital processing circuit. The amplitude phase points are digital words stored in a memory circuit. In the example illustrated in FIG. 29, the digital word is a six-bit word that is capable of storing the amplitude phase points with a resolution of 26 or 64 bits. It will be appreciated that the example shown in FIG. 29 is for illustrative purposes and in actual implementations the resolution can be much higher. The digital amplitude phase points 1952 over one cycle To are stored in the memory as a string of string words in a lookup table 1304, 1410 as described in connection with FIGS. 13 and 14, for example. To generate the analog version of the waveform 1930, the amplitude phase points 1952 are read sequentially from the memory from 0 to To at each clock cycle Tclk and are converted by a DAC circuit 1308, 1412, also described in connection with FIGS. 13 and 14. Additional cycles can be generated by repeatedly reading the amplitude phase points 1952 of the digital electrical signal waveform 1950 the from 0 to To for as many cycles or periods as may be desired. The smooth analog version of the waveform 1930 (also shown in FIG. 27) is achieved by filtering the output of the DAC circuit 1308, 1412 by a filter 1312, 1414 (FIGS. 13 and 14). The filtered output 1314, 1422 (FIGS. 13 and 14) is applied to the input of a power amplifier 212, 326, 426, 506 (FIGS. 5-8).


A variety of techniques can be used for compressing and/or limiting ultrasonic electrical signal waveforms. It should be noted that the integrity of an ultrasonic electrical signal waveform can be more important than the integrity of the RF electrical signal waveform as long as any low frequency components of the RF electrical signal waveform are limited to safe patient levels so as to avoid neuro-muscular stimulation. In another form, the frequency of an RF electrical signal waveform can be changed on a continuous basis in order to manage the peaks of the waveform. Waveform control is important as more complex RF waveforms, are implemented with the system.


The surgical instruments 104, 106, 108 described herein can include features to allow the energy being delivered by the generator 100 to be dynamically changed based on the type of tissue being treated by the end effector 122, 124, 125 of the surgical instrument 104, 106, 108 and various characteristics of the tissue. In one aspect, an algorithm for controlling the power output from a generator 100 that is delivered to the end effector 122, 124, 125 of the surgical instrument 104, 106, 108 can include an input that represents the tissue type to allow the energy profile from the generator 100 to be dynamically changed during the procedure based on the type of tissue being effected by the end effector 122, 124, 125 of the surgical instrument 104, 106, 108.



FIGS. 30 and 31 are logic flow diagrams of methods 2000, 2100 of generating an electrical signal waveform by any of the generators 100, 200, 300, 400, 500, 9001, 1003, 1103, 1203 described herein. For conciseness and clarity the generators 100, 200, 300, 400, 500, 9001, 1003, 1103, 1203 will be referred to generally as the generator 100. The method 1500 will be described with reference to FIGS. 1, 13, 14, and 29 and FIGS. 5-8. In accordance with the methods 2000, 2100 described herein, the generator 100 is configured to generate one or more than one ultrasonic electrical signal waveform to drive the ultrasonic transducer 120 of at least two surgical instruments 104, 108 simultaneously or to drive two ultrasonic transducers 120 in one surgical instrument 104, 108 simultaneously. The surgical instruments 104, 108 may comprise instruments that operate the same modalities or different modalities of surgical treatment techniques. In one aspect, the surgical instruments 104, 108 comprise at least one ultrasonic transducer 120. Nevertheless, each surgical instrument 104, 108 may comprise multiple ultrasonic transducer 120. The ultrasonic transducer(s) 120 in each of the surgical instruments 104, 108 may be driven by a signal of different frequencies, voltages, and/or currents. For example, the ultrasonic transducer 120 of the ultrasonic surgical instrument 104 may be driven at a frequency of 55.5 kHz and the ultrasonic transducer 120 of the multifunction surgical instrument 108 may be driven at a frequency of 33 kHz. Generally, the ultrasonic transducer 120 can be driven at frequencies in excess of 20 kHz up to 100 kHz.


In accordance with the methods 2000, 2100, the generator 100 comprises a digital processing circuit, a DDS circuit 1300, 1400, a memory circuit defining a lookup table 1304, 1410, and DAC circuit 1308, 1412, as described herein. The digital processing circuit may comprise any digital processing circuit, microprocessor, microcontroller, digital signal processor, logic device comprising combinational logic or sequential logic circuits, or any suitable digital circuit. The memory circuit may be located either in the surgical instrument 104, 108 or the generator 100. In one aspect, the DDS circuit 1300, 1400 is coupled to the digital processing circuit and the memory circuit. In another aspect, the memory circuit is part of the DDS circuit 1300, 1400.


In various aspects, the generator 100 may be configured to drive multiple ultrasonic transducers 120 in one or more ultrasonic surgical instruments 104, 108 simultaneously. Thus the generator 100 may be configured to drive the surgical instruments 104, 108 in multiple vibration modes to achieve a longer active length at the ultrasonic blade 128, 149 and to create different tissue effects.


According to one of the present disclosure, the generator 100 may be configured to provide ultrasonic electrical signal waveforms defining a number of wave shapes to a surgical instrument 104, 108 so that the surgical instrument 104, 108 may apply a desired therapy to tissue at the end effector 122, 125.


In one aspect, the generator 100 may be configured to generate a digital electrical signal waveform such that the desired wave shape can be digitized by a number of phase points or samples which are stored in a lookup table 1304, 1410 defined in volatile or non-volatile memory as discussed above in connection with FIGS. 13 and 14, for example. The phase points or samples may be stored in the lookup table 1304, 1410 defined in a FPGA, for example. The wave shape may be digitized into a number of phase points or samples as shown in TABLE 1. In one aspect, the wave shape may be digitized into 1024 phase points, for example. The digital processing circuit of the generator 100 may control by software or digital control the FPGA to scan the addresses in the lookup table which in turn provides varying digital input values to the DAC circuit 1308, 1412 that feeds a power amplifier 1062, 422, 506. The addresses may be scanned according to a frequency of interest. Using such the lookup table 1304, 1410 enables generating various types of wave shapes that can be used to drive the ultrasonic transducers 120 of the surgical instruments 104, 108 simultaneously. Furthermore, multiple wave shape lookup tables 1304, 1410 can be created, stored, and applied to tissue for a single generator 100.


In one aspect, the electrical signal waveforms may be defined by an output current, an output voltage, an output power, or frequency suitable to drive the ultrasonic transducer 120 or multiple ultrasonic transducers (e.g. two or more ultrasonic transducers). In the case of the multifunction surgical instrument 108, in addition to driving the ultrasonic transducer 120, the electrical signal waveforms may be defined by an output current, an output voltage, an output power, or frequency suitable to drive the electrodes located in the end effector 125 of the multifunction surgical instrument 108.


Further, in one aspect where the surgical instrument 104, 108 comprises ultrasonic components, the electrical signal waveform may be configured to drive at least two vibration modes of the ultrasonic transducer 120. Accordingly, a generator 100 may be configured to provide a electrical signal waveform to at least one surgical instrument 104, 108 wherein the electrical signal waveform defines at least one wave shape selected out of a plurality of wave shapes stored in the lookup table 1304, 1410. Further, the electrical signal waveform provided to the two surgical instruments 104, 108 may define two or more wave shapes. The lookup table 1304, 1410 may comprise information associated with a plurality of wave shapes and the lookup table 1304, 1410 may be stored in a memory located either in the generator 100 or the surgical instruments 104, 108. In one embodiment or example, the lookup table 1304, 1410 may be a direct digital synthesis table, which may be stored in an FPGA located in the generator 100 or the surgical instruments 104, 108. The lookup table 1304, 1410 may be addressed using any suitable technique for categorizing wave shapes. According to one aspect, the DDS lookup table 1304, 1410 may be addressed according to the frequency of the electrical signal waveform. Additional information associated with the plurality of wave shapes also may be stored as digital information in the DDS lookup table 1304, 1410.


In one aspect, the generator 100 may comprise a DAC circuit 1308, 1412 and a power amplifier 1062, 422, 506. The DAC circuit 1308, 1412 is coupled to the power amplifier 212, 326, 426, 506 such that the DAC circuit 1308, 1412 provides the analog electrical signal waveform to a filter 1312, 1414 and the output of the filter 1312, 1414 is provided to the power amplifier 1062, 422, 506. The output of the power amplifier is provided to the surgical instrument 104, 108.


Further, in one aspect the generator 100 may be configured to provide the electrical signal waveform to at least two surgical instruments 104, 108 simultaneously. This may be accomplished through a single output port or channel of the generator 100. The generator 100 also may be configured to provide the electrical signal waveform, which may define two or more wave shapes, via a single output port or channel to the two surgical instruments 104, 108 simultaneously. The analog signal output of the generator 100 may define multiple wave shapes to one or more than one surgical instruments 104, 108. For example, in one aspect, the electrical signal waveform comprises multiple ultrasonic drive signals. In another aspect, the electrical signal waveform comprises multiple ultrasonic drive signals and one or more than one RF signals. Accordingly, an electrical signal waveform output of the generator 100 may comprise multiple ultrasonic drive signals, multiple RF signals, and/or a combination of multiple ultrasonic drive signals and a RF signals.


In one aspect, the generator 100 as described herein may allow for the creation of various types of direct digital synthesis lookup tables 1304, 1410 within an FPGA located in the generator 100. Some examples of the wave shapes that may be produced by the generator 100 include high crest factor signals (which may be used for surface coagulation), low crest factor signals (which may be used for deeper tissue penetration), and electrical signal waveforms that promote efficient touch-up coagulation. The generator 100 also may create multiple wave shape lookup tables 1304, 1410. The generator 100 can be configured to switch between different electrical signal waveforms for driving ultrasonic transducers 120 during a procedure (e.g., “on-the-fly” or in virtual real time based on user or sensor inputs) based on desired tissue effects or feedback signals associated with the state of the tissue located in the end effector 122, 125. Switching may be based on tissue impedance, tissue temperature, state of coagulation, state of dissection, and/or other factors.


In one aspect, the generator 100 as described herein also may provide, in addition to the traditional sine wave shape, wave shapes that maximizes the power into tissue per cycle (i.e. trapezoidal, square, or triangular wave shapes). It also may provide wave shapes that are synchronized in a manner that would maximize power delivery in the case of an electrical signal waveform comprises RF and ultrasonic signal components to drive ultrasonic and RF therapeutic energy simultaneously while maintaining ultrasonic frequency lock. Further, custom wave shapes specific to various types of surgical instruments 104, 108 and their tissue effects can be stored in a lookup table 1304, 1410 memory located in the generator 100 or the surgical instrument 104, 108, where the memory may be a volatile (RAM) or non-volatile (EEPROM) memory. The wave shape may be fetched from the lookup table 1304, 1410 memory upon connecting the surgical instrument 104, 108 to the generator 100.


With reference to FIG. 30, in accordance with the method 2000, the digital processing circuit instructs the DDS circuit 1300, 1400 to store 2002 a first digital electrical signal waveform in a first lookup table 1304, 1410 defined in the memory circuit. The first digital electrical signal waveform is represented by a first predetermined number of phase points or samples that are stored in the first lookup table 1304, 1410. The first predetermined number of phase points define a first wave shape. The DDS circuit 1300, 1400 receives 2004 a clock signal. At each clock cycle, the DDS circuit 1300, 1400 retrieves 1506 a phase point from the first lookup table 1304, 1410. In one aspect, the first digital electrical signal waveform is a digital version of a first ultrasonic electrical signal waveform.


Further, in accordance with the method 2000, the digital processing circuit also instructs the DDS circuit 1300, 1400 to store 2008 a second digital electrical signal waveform in a second lookup table 1304, 1410 defined in the memory circuit, or other memory circuit. The second digital electrical signal waveform is represented by a second predetermined number of phase points that are stored in the second lookup table 1304, 1410. The second predetermined number of phase points define a second wave shape. The DDS circuit 1300, 1400 receives 2010 a clock signal. At each clock cycle, the DDS circuit 1300, 1400 retrieves 2012 a phase point from the second lookup table 1304, 1410. In one aspect, the second digital electrical signal waveform represents a second ultrasonic electrical signal waveform.


The digital signal processing circuit combines 2014 the retrieved phase point of the first digital electrical signal waveform and the retrieved phase point of the second digital electrical signal waveform to form a combined digital phase point. The combined digital phase point of the electrical signal waveform is converted 2016 by a DAC circuit 1308, 1412 to a combined analog signal. The analog signal 1310, 1420 output of the DAC circuit 1308, 1412 is filtered 2018 by a filter 1312, 1414 and is amplified 2020 by a power amplifier 212, 326, 426, 506 before the combined analog electrical signal waveform is provided to a surgical instrument 104, 108 connected to the generator 100. The first and second digital electrical signal waveforms may be combined in a way, for example using an appropriate algorithm, which is specifically designed to provide a proper input to a surgical instrument 104, 108. This may include limiting peaks of the combined digital electrical signal waveform so that the surgical instrument 104, 108 and/or components of the generator 100 are not damaged. Damage is one consequence of overdriving the components, however, another consequence is undesired wave shapes that can affect the ultrasonic transducer 120 or cause undesired output, such as unintended frequency components, on the RF poles. Accordingly, in one aspect, the output components are not damaged but are operating in a non-linear fashion and produce undesirable wave shapes, distortions, or harmonic components that could affect the operation of the ultrasonic transducer 120 or be delivered to tissue through the RF electrodes.


In one aspect, the combined analog electrical signal waveform is configured to drive a plurality of ultrasonic transducers 120, either simultaneously or sequentially. In another aspect, the combined analog electrical signal waveform is configured to drive a plurality of ultrasonic operational modes of an ultrasonic surgical instrument 104, 108. In one aspect, the ultrasonic surgical instrument 104, 108 comprises an ultrasonic transducer 120 and an ultrasonic blade 128, 149. The combined analog electrical signal waveform may be configured to drive the ultrasonic transducer 120 to produce a predetermined active length of the ultrasonic blade 128, 149. In one aspect, the combined analog electrical signal waveform may be configured to drive the ultrasonic transducer 120 to produce a predetermined tissue effect by the ultrasonic blade 128, 149.


In one aspect, the first and second digital electrical signal waveforms represent first and second digital ultrasonic electrical signal waveforms and the method 2000 further comprises combining a RF electrical signal waveform with the first and second ultrasonic electrical signal waveforms.


In one aspect, the digital processing circuit stores phase points of a digital electrical signal waveform in the lookup table 1304, 1410 defined by the memory circuit. The digital processing circuit stores phase points of multiple digital electrical signal waveforms in corresponding multiple lookup tables 1304, 1410 defined by the memory circuit or other memory circuits. Each of the digital electrical signal waveforms is represented by a predetermined number of phase points. Each of the predetermined number of phase points defines a different wave shape.


In one aspect, the digital processing circuit receives a feedback signal associated with tissue parameters and modifying the predetermined wave shape according to the feedback signal.


In one aspect, the digital electrical signal waveform represents a combination of two waveforms having different amplitudes. In one aspect, the digital electrical signal waveform represents a combination of two waveforms having different frequencies. In one aspect, the digital electrical signal waveform represents a combination of two waveforms having of different amplitudes. In one aspect, the wave shape is a trapezoid, a sine or cosine wave, a square wave, a triangle wave, or any combinations thereof. In one aspect, the combined digital signal waveform is configured to maintain a predetermined ultrasonic frequency. In one aspect, the combined digital signal waveform is configured to deliver maximum power output.


With reference to FIG. 31, in accordance with the method 2100, the generator 100 generate 2102 a first digital ultrasonic electrical signal waveform, generates 2104 a second digital ultrasonic electrical signal waveform, and combines 2106 the first and second digital ultrasonic electrical signal waveforms. The DAC circuit 1308, 1412 converts 2108 the combined digital ultrasonic electrical signal waveform into an analog signal. The analog signal is delivered 2110 to a surgical instrument 104, 108 connected to the generator 100. The ultrasonic electrical signal waveform is configured to apply voltage, current, or power associated to an ultrasonic transducer 120 of a surgical instrument 104, 108 configured to receive the ultrasonic electrical signal waveform. In one aspect, each of the surgical instruments 104, 108 may comprise a plurality of ultrasonic transducers 120.


A digitized ultrasonic electrical signal waveform, including a combined digital ultrasonic electrical signal waveform may be stored in a memory circuit defining a lookup table 1304, 1410 located either in the generator 100 or the surgical instrument 104, 106. The lookup table 1304, 1410 may be a direct digital synthesis table, located in the generator 100. The ultrasonic electrical signal waveform(s) and/or the combined ultrasonic electrical signal waveform(s) may consist of a plurality of phase points or samples stored in the memory circuit. In order for the generator 100 to output an analog ultrasonic electrical signal waveform made by combining two or more ultrasonic electrical signal waveforms, or other ultrasonic electrical signal waveform, the phase points are retrieved from the memory circuit by a digital processing circuit associated with the generator 100 or the surgical instrument 104, 108. As previously discussed, the phase points define the digital combined ultrasonic electrical signal waveform. The phase points are retrieved from the memory circuit upon connection of the surgical instrument 104, 108 to the generator 100. The phase points or digital samples may comprise at least 1,024 phase points. In other aspects the digital samples may comprise any number of phase points as shown in TABLE 1. Further, the analog version of the combined ultrasonic electrical signal waveform may be output to a surgical instrument 104, 108 via a single port of the generator 100 through which the surgical instrument 104, 108 is connected to the generator 100.


In one aspect, the generator 100, as described herein, may be a single port or multiple port system and may include an output transformer with multiple taps to provide the power in the form that is required for the treatment. In one aspect, the form may be higher voltage and lower current, in order to drive an ultrasonic transducer 120. In another aspect, the form may be lower voltage and higher current to drive vessel sealing electrodes. Or it may be a coagulation or type waveform for touch-up or spot coagulation.


In addition, the generator 100 may comprise a FPGA. The generator 100 may be configured to scan, via the FPGA, a lookup table 1304, 1410 comprising samples the digital electrical signal waveform, retrieve, via the FPGA, the stored phase points from the lookup table 1304, 1410, and provide the phase points to a DAC circuit 1308, 1412. The analog signal 1310, 1420 output of the DAC circuit 1308, 1412 is filtered by a filter 1312, 1414, and amplified by a power amplifier 1062, 422, 506. The amplified analog ultrasonic electrical signal waveform is then output from the generator 100 to the surgical instrument 104, 108.


The analog ultrasonic electrical signal waveform may be configured for a particular treatment modality of the surgical instrument 104, 108 connected to the generator 100. Accordingly, the ultrasonic electrical signal waveform may be a single or composite ultrasonic electrical signal waveform. In one aspect, the ultrasonic electrical signal waveform or the composite ultrasonic electrical signal waveform may be combined with a RF waveform, which may be provided to at least two surgical instruments 104, 108 simultaneously. The surgical instruments 104, 108 may comprise instruments that operate in the same modalities or different modalities of surgical treatment techniques. In one aspect, the surgical instruments 104, 108 include at least one ultrasonic surgical instrument 104 and at least one combination RF electrosurgical/ultrasonic surgical instrument. The electrical signal waveform also may be a combined RF and ultrasonic electrical signal waveform configured to maintain a predetermined ultrasonic frequency. In one aspect, the predetermined ultrasonic frequency is frequency locked when the surgical instrument 104, 108 is connected to the generator 100. In another aspect, the combined RF and ultrasonic electrical signal waveform is configured to cause the surgical instrument 104, 108 to deliver maximum power to the tissue engaged in the end effector 122, 125 of the surgical instrument 104, 108. The maximum power application may be based on the maximum power output of a treatment modality of a surgical instrument 104, 108, such as, for example, an RF modality and/or an ultrasonic modality. According to further aspects, the electrical signal waveform may comprise a high crest factor signal, a low crest factor signal, or a combination thereof and/or the electrical signal waveform may comprise a sine wave shape, a trapezoidal wave shape, a square wave shape, a triangular wave shape, or a combination thereof. The electrical signal waveform also may be configured to provide a desired tissue effect or outcome to tissue engaged by the end effector 122, 125 of the surgical instrument 104, 108 when the electrical signal waveform is received by the surgical instrument 104, 108. In one aspect, the desired tissue effect is at least one of cutting, coagulation, and/or sealing.


The generator 100 also may be configured to switch between a first electrical signal waveform and a second electrical signal waveform based on predetermined criteria, such as, for example, a desired tissue effect and/or feedback from a surgical instrument 104, 108, which may include measured values of a tissue parameter. The tissue parameter may include a tissue type, a tissue amount, a tissue state, or a combination thereof. Accordingly, the methods described above also may include delivering the first electrical signal waveform and the second electrical signal waveform based on a desired tissue effect, tissue parameter, and/or other parameters associated with a surgical instrument 104, 108 connected to the generator 100.


Additionally, the first and second digital electrical signal waveforms stored in the generator 100 may be received by the generator 100 from a surgical instrument 104, 108 connected to the generator 100. The generator 100 may receive the first and second digital electrical signal waveforms following or upon connecting the surgical instrument 104, 108 to the generator 100. The samples of the first and second digital electrical signal waveforms may be stored in an EEPROM of the surgical instrument 104, 108, which is operable coupled to the generator 100 upon connection of the surgical instrument 104, 108 to the generator 100.



FIGS. 32-34 are logic flow diagrams of methods 2200, 2300, 2400 of generating an electrical signal waveform configured to drive surgical instruments and to protect output components of any of the generators 100, 200, 300, 400, 500, 9001, 1003, 1103, 1203 described herein. For conciseness and clarity, the generators 100, 200, 300, 400, 500, 9001, 1003, 1103, 1203 will be referred to as the generator 100. Accordingly, the generator 100 is representative of the generators 200, 300, 400, 500, 9001, 1003, 1103, 1203 described herein. The method 1500 will be described with reference to FIGS. 1, 13, 14, and 20 and with reference to the generator circuits described in connection with FIGS. 5-8. The generator 100 comprises a digital processing circuit, a DDS circuit 1300, 1400, a memory circuit defining a lookup table 1304, 1410, and DAC circuit 1308, 1412, as described herein. The digital processing circuit may comprise any digital processing circuit, microprocessor, microcontroller, digital signal processor, logic device comprising combinational logic or sequential logic circuits, or any suitable digital circuit. The memory circuit may be located either in the surgical instrument 104, 106, 108 or the generator 100. In one aspect, the DDS circuit 1300, 1400 is coupled to the digital processing circuit and the memory circuit. In another aspect, the memory circuit is part of the DDS circuit 1300, 1400.


In accordance with the methods 2200, 2300, 2400 the digital processing circuit instructs the DDS circuit 1300, 1400 to store phase points or samples that define a digital electrical signal waveform in a lookup table 1304, 1410 defined in the memory circuit. The digital electrical signal waveform is represented by a predetermined number of phase points that are stored in the lookup table 1304, 1410. The predetermined number of phase points define a predetermined wave shape. The DDS circuit 1300, 1400 receives a clock signal. At each clock cycle, the DDS circuit 1300, 1400 retrieves a phase point from the lookup table 1304, 1410 and provides the phase point (e.g., sample) to the DAC circuit 1308, 1412. The DAC circuit 1308, 1412 converts the phase point of the digital electrical signal waveform into an analog electrical signal output (e.g., a sample/hold output of the DAC circuit 1308, 1412). The analog sample/hold output of the DAC circuit 1308, 1412 is filtered by the filter 1312, 1414 and amplified by a power amplifier 212, 326, 426, 506 (FIGS. 5-8), for example, before the analog electrical signal waveform is provided to the surgical instrument 104, 106, 108.


The one or more than one digital electrical signal waveforms may be generated from a one or more than one lookup tables 1304, 1410 as described in connection with FIGS. 13 and 14. The one or more than one digital electrical signal waveform may be defined by a plurality of wave shapes that are combined to form a complex waveform. The lookup tables 1304, 1410 may be defined in a memory circuit in communication with a digital processing circuit of the generator 100 or the surgical instrument 104, 106, 108. In one aspect, the lookup tables 1304, 1410 may be DDS lookup tables that can be addressed according to a desired frequency of the electrical signal waveforms. In one aspect, the digital electrical signal waveform is a combination of at least two wave shapes. The combined digital electrical signal waveform is provided to the DAC circuit 1308, 1410 and may be filtered by the filter 1312, 1414 and amplified by a power amplifier. The combined analog electrical signal waveform may be an ultrasonic drive signal having a frequency of 55 kHz or an RF signal having a frequency of 330 kHz or a combination of the ultrasonic drive signal and the RF signal.


Additionally, digital phase points of the digital electrical signal waveform may be received by the generator 100 from a surgical instrument 104, 106, 108 connected to the generator 100. The generator 100 may receive the phase points following or upon connection of the surgical instrument 104, 106, 108 to the generator 100. The phase points of the digital electrical signal waveform may be stored in an EEPROM of the surgical instrument 104, 106, 108, which is operable coupled to the generator 100 upon connection of the surgical instrument 104, 106, 108 to the generator 100.


According to various aspects, the electrical signal waveform also may be provided to at least two surgical instruments 104, 106, 108 simultaneously. The surgical instruments 104, 106, 108 may comprise instruments that operate the same modalities or different modalities of surgical treatment techniques. In one aspect, the surgical instruments include at least one ultrasonic surgical instrument and at least one RF surgical instrument.


In various aspects, the electrical signal waveforms may represent electrical signals having different wave shapes. In one aspect, the electrical signal waveforms may represent ultrasonic signals suitable for driving ultrasonic transducers 120 of an ultrasonic surgical instrument 104, RF signals suitable for driving an electrode of an electrosurgical instrument 106 or a multifunction surgical instrument 108. A plurality of the electrical signal waveforms can be delivered separately, simultaneously, individually, or combined in one signal.


With reference now to FIG. 32, in accordance with the method 2200, the generator 100 is configured to generate 2202 a first digital electrical signal waveform, generate 2204 a second digital electrical signal waveform, combine 2206 the first and second digital electrical signal waveform, and modify 2208 the combined digital electrical signal waveform to form a modified digital electrical signal waveform. A peak amplitude of the modified digital electrical signal waveform is configured not to exceed a predetermined value such that the amplitude remains within the normal operating rating of the amplifier 212, 326, 426, 506 and other output components of the generator 100. The modified digital electrical signal waveform is converted to an analog electrical signal waveform by the DAC circuit 1308, 1412, which is then applied to the amplifier 212, 326, 426, 506 and other output components of the generator 100. The analog electrical signal waveform is delivered to at least one surgical instrument 104, 106, 108 connected to the generator 100. The first digital electrical signal waveform and/or the second digital electrical signal waveform may be extractable from the combined digital electrical signal waveform. Further, either the first or the second digital electrical signal waveform may comprise an arbitrary function, a sine wave function, a square wave function, a triangular function, which are extractable from the combined digital electrical signal waveform. In one aspect, the second digital electrical signal waveform is an RF waveform and/or the first digital electrical signal waveform is an ultrasonic waveform.


The first digital electrical signal waveform may include a RF drive signal and the second digital electrical signal waveform may include an ultrasonic drive signal. The first and/or the second digital electrical signal waveform may be generated via the DDS circuit 1300, 1400 of the generator 100. In one aspect, the method 1500 further comprises determining that the peak maximum amplitude of the combined digital electrical signal waveform is approaching as the combined digital electrical signal waveform is being delivered or transmitted to the surgical instrument 104, 106, 108. In another aspect, the method 2200 further comprises determining a peak amplitude of the combined digital electrical signal waveform and modifying the combined digital electrical signal waveform based on the peak amplitude of the combined waveform. In addition, the generator 100 may be configured to modify the combined digital electrical signal waveform by reducing the amplitude of the combined digital electrical signal waveform upon determining that the peak amplitude of the combined digital electrical signal waveform is approaching during transmission or delivery of the analog electrical signal waveform to the surgical instrument 104, 106, 108.


With reference now to FIG. 33, in accordance with the method 2300, the generator 100 is configured to generate 2302 a first digital electrical signal waveform, generate 2304 a second digital electrical signal waveform, where the second digital electrical signal waveform is a function of the first digital electrical signal waveform. The generator 100 is configured to combine 2306 the first digital electrical signal waveform and the second digital electrical signal waveform to form a combined digital electrical signal waveform. The peak amplitude of the combined digital electrical signal waveform is configured not to exceed a predetermined value such that the amplitude remains within the normal operating rating of the amplifier 212, 326, 426, 506 and other output components of the generator 100. The generator 100 is configured to deliver 2308 the combined digital electrical signal waveform to at least one surgical instrument 104, 106, 108 connected to the generator 100. The first digital electrical signal waveform and/or the second digital electrical signal waveform may be extractable from the combined digital electrical signal waveform. Further, either the first or the second digital electrical signal waveform may comprise an arbitrary function, a sine wave function, a square wave function, a triangular function, which are extractable from the combined digital electrical signal waveform. In one aspect, the second digital electrical signal waveform is an RF waveform and/or the first digital electrical signal waveform is an ultrasonic waveform.


With reference now to FIG. 34, in accordance with the method 2400, the generator 100 is configured to generate 2402 a first digital electrical signal waveform, generate 2404 a second digital electrical signal waveform, where the second digital electrical signal waveform is a function of the first digital electrical signal waveform. The generator 100 is configured to modify 2404 a frequency of the first digital electrical signal waveform to form a frequency modified first digital electrical signal waveform. The generator 100 is configured to combine 2406 the frequency modified first digital electrical signal waveform and the second digital electrical signal waveform to form a combined digital electrical signal waveform. The generator 100 is configured to deliver 2408 the combined digital electrical signal waveform to at least one surgical instrument 104, 106, 108 connected to the generator 100. The combined digital electrical signal waveform may be configured such that a peak amplitude of the combined waveform does not exceed a predetermined value such that amplitude remains within the safe operating rating of the amplifier 212, 326, 426, 506 and other output components of the generator 100. The first digital electrical signal waveform and/or the second digital electrical signal waveform may be extractable from the combined digital electrical signal waveform. Further, either the first or the second digital electrical signal waveform may comprise an arbitrary function, a sine wave function, a square wave function, a triangular function, which are extractable from the combined digital electrical signal waveform. In one aspect, the second digital electrical signal waveform is an RF waveform and/or the first digital electrical signal waveform is an ultrasonic waveform.


In various aspects, the first and second electrical signal waveforms may represent electrical signals having different wave shapes. In one aspect, the first digital electrical signal waveform may represent an RF signal suitable for driving an electrode of an RF electrosurgical instrument 106 or a multifunction surgical instrument 108 and the second electrical signal waveform may represent an ultrasonic signal for driving an ultrasonic transducer of an ultrasonic surgical instrument 104 or a multifunction surgical instrument 108. The first and second electrical signal waveforms can be delivered separately, simultaneously, individually, or combined in one signal.


While the examples herein are described mainly in the context of electrosurgical instruments, it should be understood that the teachings herein may be readily applied to a variety of other types of medical instruments. By way of example only, the teachings herein may be readily applied to tissue graspers, tissue retrieval pouch deploying instruments, surgical staplers, ultrasonic surgical instruments, etc. It should also be understood that the teachings herein may be readily applied to any of the instruments described in any of the references cited herein, such that the teachings herein may be readily combined with the teachings of any of the references cited herein in numerous ways. Other types of instruments into which the teachings herein may be incorporated will be apparent to those of ordinary skill in the art.


It should be appreciated that any patent, publication, or other disclosure material, in whole or in part, that is said to be incorporated by reference herein is incorporated herein only to the extent that the incorporated material does not conflict with existing definitions, statements, or other disclosure material set forth in this disclosure. 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.


Aspects of the present disclosure have application in conventional endoscopic and open surgical instrumentation as well as application in robotic-assisted surgery. For instance, those of ordinary skill in the art will recognize that various teaching herein may be readily combined with various teachings of U.S. Pat. No. 6,783,524, titled ROBOTIC SURGICAL TOOL WITH ULTRASOUND CAUTERIZING AND CUTTING INSTRUMENT, published Aug. 31, 2004, the disclosure of which is incorporated by reference herein.


Aspects of the devices disclosed herein can be designed to be disposed of after a single use, or they can be designed to be used multiple times. Various aspects may, in either or both cases, be reconditioned for reuse after at least one use. Reconditioning may include any combination of the steps of disassembly of the device, followed by cleaning or replacement of particular pieces, and subsequent reassembly. In particular, aspects of the device may be disassembled, and any number of the particular pieces or parts of the device may be selectively replaced or removed in any combination. Upon cleaning and/or replacement of particular parts, aspects of the device may be reassembled for subsequent use either at a reconditioning facility, or by a surgical team immediately prior to a surgical procedure. Those skilled in the art will appreciate that reconditioning of a device may utilize a variety of techniques for disassembly, cleaning/replacement, and reassembly. Use of such techniques, and the resulting reconditioned device, are all within the scope of the present application.


By way of example only, aspects described herein may be processed before surgery. First, a new or used instrument may be obtained and if necessary cleaned. The instrument may then be sterilized. In one sterilization technique, the instrument is placed in a closed and sealed container, such as a plastic or TYVEK bag. The container and instrument may then be placed in a field of radiation that can penetrate the container, such as gamma radiation, x-rays, or high-energy electrons. The radiation may kill bacteria on the instrument and in the container. The sterilized instrument may then be stored in the sterile container. The sealed container may keep the instrument sterile until it is opened in a medical facility. A device may also be sterilized using any other technique known in the art, including but not limited to beta or gamma radiation, ethylene oxide, or steam.


Having shown and described various aspects of the present disclosure, further adaptations of the methods and systems described herein may be accomplished by appropriate modifications by one of ordinary skill in the art without departing from the scope of the present disclosure. Several of such potential modifications have been mentioned, and others will be apparent to those skilled in the art. For instance, the examples, aspects, geometrics, materials, dimensions, ratios, steps, and the like discussed above are illustrative and are not required. Accordingly, the scope of the present disclosure should be considered in terms of the following claims and is understood not to be limited to the details of structure and operation shown and described in the specification and drawings.


While various details have been set forth in the foregoing description, it will be appreciated that the various aspects of the techniques for operating a generator for digitally generating electrical signal waveforms and surgical instruments may be practiced without these specific details. One skilled in the art will recognize that the herein described components (e.g., operations), devices, objects, and the discussion accompanying them are used as examples for the sake of conceptual clarity and that various configuration modifications are contemplated. Consequently, as used herein, the specific exemplars set forth and the accompanying discussion are intended to be representative of their more general classes. In general, use of any specific exemplar is intended to be representative of its class, and the non-inclusion of specific components (e.g., operations), devices, and objects should not be taken limiting.


Further, while several forms have been illustrated and described, it is not the intention of the 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.


For conciseness and clarity of disclosure, selected aspects of the foregoing disclosure have been shown in block diagram form rather than in detail. Some portions of the detailed descriptions provided herein may be presented in terms of instructions that operate on data that is stored in a computer memory. Such descriptions and representations are used by those skilled in the art to describe and convey the substance of their work to others skilled in the art. In general, 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 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.


Unless specifically stated otherwise as apparent from the foregoing disclosure, it is appreciated that, throughout the foregoing disclosure, discussions using terms such as “processing” or “computing” or “calculating” or “determining” or “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.


In a general sense, those skilled in the art will recognize that the various aspects described herein which can be implemented, individually and/or collectively, by a wide range of hardware, software, firmware, or any combination thereof can be viewed as being composed of various types of “electrical circuitry.” Consequently, as used herein “electrical circuitry” 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.


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, or examples can be implemented, individually and/or collectively, by a wide range of hardware, software, firmware, or virtually any combination thereof. In one form, several portions of the subject matter described herein may be implemented via an application specific integrated circuits (ASIC), a field programmable gate array (FPGA), a digital signal processor (DSP), or other integrated formats. However, 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 a program product 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. Examples of a signal bearing medium include, but are not limited to, the following: a recordable type medium such as a floppy disk, a hard disk drive, a Compact Disc (CD), a Digital Video Disk (DVD), a digital tape, a computer memory, etc.; and a transmission type medium such as a digital and/or an analog communication medium (e.g., a fiber optic cable, a waveguide, a wired communications link, a wireless communication link (e.g., transmitter, receiver, transmission logic, reception logic, etc.), etc.).


In some instances, one or more elements may be described using the expression “coupled” and “connected” along with their derivatives. It should be understood that these terms are not intended as synonyms for each other. For example, some aspects may be described using the term “connected” to indicate that two or more elements are in direct physical or electrical contact with each other. In another example, some aspects may be described using the term “coupled” to indicate that two or more elements are in direct physical or electrical contact. The term “coupled,” however, also may mean that two or more elements are not in direct contact with each other, but yet still co-operate or interact with each other. It is to be understood that depicted architectures of different components contained within, or connected with, different other components are merely examples, and that in fact many other architectures may be implemented which achieve the same functionality. In a conceptual sense, any arrangement of components to achieve the same functionality is effectively “associated” such that the desired functionality is achieved. Hence, any two components herein combined to achieve a particular functionality can be seen as “associated with” each other such that the desired functionality is achieved, irrespective of architectures or intermedial components. Likewise, any two components so associated also can be viewed as being “operably connected,” or “operably coupled,” to each other to achieve the desired functionality, and any two components capable of being so associated also can be viewed as being “operably couplable,” to each other to achieve the desired functionality. Specific examples of operably couplable include but are not limited to physically mateable and/or physically interacting components, and/or wirelessly interactable, and/or wirelessly interacting components, and/or logically interacting, and/or logically interactable components.


In other instances, 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.


While particular aspects of the present disclosure have been shown and described, it will be apparent to those skilled in the art that, based upon the teachings herein, changes and modifications may be made without departing from the subject matter described herein and its broader aspects and, therefore, the appended claims are to encompass within their scope all such changes and modifications as are within the true scope of the subject matter described herein. It will be understood by those within the art 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 flows 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,” “one form,” or “a form” 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 one form,” or “in an form” 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.


With respect to the use of substantially any plural and/or singular terms herein, those having skill in the art can translate from the plural to the singular and/or from the singular to the plural as is appropriate to the context and/or application. The various singular/plural permutations are not expressly set forth herein for sake of clarity.


In certain cases, use of a system or method may occur in a territory even if components are located outside the territory. For example, in a distributed computing context, use of a distributed computing system may occur in a territory even though parts of the system may be located outside of the territory (e.g., relay, server, processor, signal-bearing medium, transmitting computer, receiving computer, etc. located outside the territory).


A sale of a system or method may likewise occur in a territory even if components of the system or method are located and/or used outside the territory. Further, implementation of at least part of a system for performing a method in one territory does not preclude use of the system in another territory.


All of the above-mentioned U.S. patents, U.S. patent application publications, U.S. patent applications, foreign patents, foreign patent applications, non-patent publications referred to in this specification and/or listed in any Application Data Sheet, or any other disclosure material are incorporated herein by reference, to the extent 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.


Various aspects of the subject matter described herein are set out in the following numbered clauses:


1. An apparatus comprising a generator configured to provide an electrical signal waveform to at least one surgical instrument; a table comprising information associated with a plurality of wave shapes; and wherein the electrical signal waveform corresponds to at least one wave shape of the plurality of wave shapes of the table.


2. The apparatus of clause 1, wherein the table is stored within the generator.


3. The apparatus of clauses 1 or 2, wherein the table is a direct digital synthesis table.


4. The apparatus of clause 3, wherein the direct digital synthesis table is addressed according to a frequency of the electrical signal waveform.


5. The apparatus of any of clauses 1-4, wherein the information associated with the plurality of wave shapes is stored as digital information.


6. The apparatus of any of clauses 1-5, wherein the generator comprises a DAC circuit and a power amplifier, and wherein the DAC circuit is coupled to the power amplifier and the DAC circuit provides digital input values to the power amplifier associated with a wave shape of the plurality of wave shapes for the electrical signal waveform.


7. The apparatus of any of clauses 1-6, wherein the generator is configured to provide the electrical signal waveform to at least two surgical instruments simultaneously.


8. The apparatus of clause 7, wherein the electrical signal waveform provided to the at least two surgical instruments comprises at least two wave shapes.


9. The apparatus of clause 8, wherein the generator is configured to provide the electrical signal waveform that comprises the at least two wave shapes via a single output channel.


10. The apparatus of any of clauses 1-9, wherein the electrical signal waveform comprises an ultrasonic signal.


11. The apparatus of clause 10, wherein the electrical signal waveform is configured to control at least one of an output current, an output voltage, or an output power of an ultrasonic transducer.


12. The apparatus of clause 10 or 11, wherein the electrical signal waveform is configured to drive at least two vibration modes of an ultrasonic transducer of the at least one surgical instrument.


13. The apparatus of any of clauses 1-12, wherein the generator is configured to provide the electrical signal waveform to at least two surgical instruments simultaneously, wherein the electrical signal waveform comprises an ultrasonic signal and an RF signal.


14. A method of operating a generator, comprising: generating an electrical signal waveform; providing the generated electrical signal waveform to at least one surgical instrument; and wherein generating the electrical signal waveform comprises reading electrical signal waveform information from a table comprising information associated with a plurality of wave shapes; and wherein the generated electrical signal waveform corresponds to at least one wave shape of the plurality of wave shapes of the table.


15. The method of clause 14, wherein the generated electrical signal waveform corresponds to at least two wave shapes of the plurality of wave shapes of the table.


16. The method of clause 14 or 15, wherein the electrical signal waveform comprises an ultrasonic signal.


17. The method of any of clauses 14-16, wherein providing the generated electrical signal waveform to the at least one surgical instrument comprises providing the electrical signal waveform to at least two surgical instruments simultaneously.


18. The method of clause 17, wherein the at least two surgical instruments comprise at least one ultrasonic surgical instrument and at least one RF surgical instrument.


19. The method of clauses 14-18, wherein providing the generated electrical signal waveform comprises providing the generated waveform via a single output channel.


20. The method of clauses 14-19, wherein the table is a direct digital synthesis table that is addressed according to a frequency of the electrical signal waveform.


21. An apparatus for operating a surgical instrument, comprising: at least one surgical instrument configured to receive an electrical signal waveform from a generator; wherein the electrical signal waveform corresponds to at least one wave shape of a plurality of wave shapes stored in a table of the generator.


22. The apparatus of clause 21, wherein the at least one surgical instrument comprises at least two surgical instruments that receive the electrical signal waveform simultaneously.


23. The apparatus of clause 22, wherein the electrical signal waveform provided to the at least two surgical instruments comprises at least two wave shapes.


24. The apparatus of clause 22 or 23, wherein each of the at least two surgical instruments receive the electrical signal waveform from a single output channel of the generator.


25. The apparatus of any one of clauses 22-24, wherein one of the at least two surgical instruments comprises an ultrasonic surgical component and wherein another of the at least two surgical instruments comprises an RF surgical component.


26. The apparatus of any one of clauses 21-25, wherein the electrical signal waveform comprises a ultrasonic signal.


27. The apparatus of any of clauses 21-26, wherein the electrical signal waveform is configured to control at least one of an output current, an output voltage, or an output power of an ultrasonic transducer of the at least one surgical instrument.


28. The apparatus of any one of clauses 21-27, wherein the electrical signal waveform is configured to drive at least two vibration modes of an ultrasonic transducer of the at least one surgical instrument.


29. The apparatus of any one of clauses 21-28, wherein the generator is configured to provide the electrical signal waveform to at least two surgical instruments simultaneously.


30. A method of generating electrical signal waveforms by a generator, the generator comprising a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the memory circuit defining a lookup table, the method comprising: storing, by the digital processing circuit, phase points of a digital electrical signal waveform in the lookup table defined by the memory circuit, wherein the digital electrical signal waveform is represented by a predetermined number of phase points, wherein the predetermined number phase points define a predetermined wave shape; receiving a clock signal by the digital synthesis circuit, and at each clock cycle: retrieving, by the digital processing circuit, a phase point from the lookup table; and converting, by the DAC circuit, the retrieved phase point to an analog signal.


31. The method of clause 30, comprising amplifying, by an amplifier, the analog signal from an output of the DAC circuit.


32. The method of any one of clause 30 or 31, wherein storing, by the digital processing circuit, phase points of a digital electrical signal waveform in the lookup table defined by the memory circuit, comprises: storing, by the digital processing circuit, phase points of multiple digital electrical signal waveforms in corresponding multiple lookup tables defined by the memory circuit or other memory circuits, wherein each of the digital electrical signal waveforms is represented by a predetermined number of phase points, and wherein each of the predetermined number of phase points defines a different wave shape.


33. The method of any one of clauses 30-32, comprising: receiving, by the digital processing circuit, a feedback signal associated with tissue parameters; and modifying the predetermined wave shape according to the feedback signal.


34. The method of any one of clauses 30-33, wherein the digital electrical signal waveform represents a RF signal waveform, an ultrasonic signal waveform, or a combination thereof.


35. The method of any one of clauses 30-34, wherein the digital electrical signal waveform represents a combination of two waveforms having different amplitudes.


36. The method of any one of clauses 30-35, wherein the digital electrical signal waveform represents a combination of two waveforms having different frequencies.


37. The method of clause 36, wherein the digital electrical signal waveform represents a combination of two waveforms having of different amplitudes.


38. The method of any one of clauses 30-37, wherein the predetermined wave shape is a trapezoid, a sine or cosine wave, a square wave, a triangle wave, or any combinations thereof.


39. The method of any one of clauses 30-38, wherein the digital electrical signal waveform is a combined RF and ultrasonic signal waveform configured to maintain a predetermined ultrasonic frequency.


40. The method of any one of clauses 30-39, wherein the first is a combined RF and ultrasonic waveform configured to deliver maximum power output.


41. A method of generating electrical signal waveforms by a generator, the generator comprising a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the memory circuit defining first and second lookup tables, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; receiving, by the digital synthesis circuit, a clock signal, and at each clock cycle: retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; and determining, by the digital processing circuit, whether to switch between the phase points of the first and second electrical signal waveforms or to synchronize the phase points of the first and second electrical signal waveforms.


42. The method of clause 41, comprising receiving, by the digital processing circuit, a feedback signal associated with tissue parameters.


43. The method of clause 42, comprising: switching between the phase point of the first digital electrical signal waveform and the phase point of the second digital electrical signal waveform; and converting, by the DAC circuit, the retrieved phase point.


44. The method of clause 42, comprising: synchronizing the phase points of the first and second digital electrical signal waveforms to maximize power delivery per cycle; and converting, by the DAC circuit, the synchronized phase points.


45. The method of any one of clauses 41-44, wherein the first digital electrical signal waveform represents a RF waveform and the second digital electrical signal waveform represents an ultrasonic signal waveform.


46. A generator for generating electrical signal waveforms, the generator comprising: a digital processing circuit; a memory circuit in communication with the digital processing circuit, the memory circuit defining a lookup table; a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, the digital synthesis circuit receiving a clock signal; and a digital-to-analog converter (DAC) circuit; the digital processing circuit configured to store phase points of a digital electrical signal waveform in the lookup table defined by the memory circuit, wherein the digital electrical signal waveform is represented by a predetermined number of phase points, wherein the predetermined number phase points define a predetermined wave shape; and retrieve a phase point from the lookup table at each clock cycle; and the DAC circuit configured to convert the retrieved phase point to an analog signal.


47. The generator of clause 46, comprising an amplifier coupled to the DAC circuit.


48. The generator of clause 46 or 47, wherein the digital synthesis circuit is a direct digital synthesis (DDS) circuit.


49. The generator of any one of clauses 46-48, comprising a filter coupled to the output of the DAC circuit.


50. A method of generating electrical signal waveforms by a generator, the generator comprising a digital processing circuit, a memory circuit in communication with the digital processing circuit, the memory circuit defining first and second lookup tables, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; and receiving a clock signal by the digital synthesis circuit, and at each clock cycle: retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; combining, by the digital processing circuit, the phase point from the first lookup table with the phase point from the second lookup table to generate a combined phase point; and converting, by the DAC circuit, the combined phase point into an analog signal; wherein the analog signal is configured to drive a first and second ultrasonic transducer.


51. The method of clause 50, wherein the first and second digital electrical signal waveforms represent first and second digital ultrasonic electrical signal waveforms.


52. The method of clause 50 or 51, comprising combining a radio frequency (RF) electrical signal waveform with the first and second ultrasonic electrical signal waveforms.


53. The method of any one of clauses 50-52, wherein storing, by the digital processing circuit, phase points of a digital electrical signal waveform in the lookup table defined by the memory circuit, comprises: storing, by the digital processing circuit, phase points of multiple digital electrical signal waveforms in corresponding multiple lookup tables defined by the memory circuit or other memory circuits, wherein each of the digital electrical signal waveforms is represented by a predetermined number of phase points, and wherein each of the predetermined number of phase points defines a different wave shape.


54. The method of any one of clauses 50-53, comprising: receiving, by the digital processing circuit, a feedback signal associated with tissue parameters; and modifying the first or second predetermined wave shape according to the feedback signal.


55. The method of any one of clauses 50-54, wherein the first or second digital electrical signal waveform represents a combination of multiple waveforms having different amplitudes.


56. The method of any one of clauses 50-55, wherein the first or second digital electrical signal waveform represents a combination of multiple waveforms having different frequencies.


57. The method of clause 56, wherein the first or second digital electrical signal waveform represents a combination of multiple waveforms having of different amplitudes.


58. The method of any one of clauses 50-57, wherein the first or second predetermined wave shape is a trapezoid, a sine or cosine wave, a square wave, a triangle wave, or any combinations thereof.


59. The method of any one of clauses 50-58, wherein the combined phase point is configured to maintain a predetermined ultrasonic frequency.


60. The method of any one of clauses 50-59, wherein the combined phase point is configured to deliver maximum power output.


61. A method of generating electrical signal waveforms by a generator, the generator comprising a digital processing circuit, a memory circuit in communication with the digital processing circuit, the memory circuit defining first and second lookup tables, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; and receiving a clock signal by the digital synthesis circuit, and at each clock cycle: retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; combining, by the digital processing circuit, the phase point from the first lookup table with the phase point from the second lookup table to generate a combined phase point; and converting, by the DAC circuit, the combined phase point into an analog signal; wherein the analog signal is configured to drive a plurality of ultrasonic operational modes of an ultrasonic device.


62. The method of clause 61, wherein the analog signal is configured to provide a predetermined tissue effect.


63. The method of clauses 61 or 62, wherein the generator comprises a single output port and the method further comprises delivering the analog signal via the single output port.


64. A generator for generating electrical signal waveforms, the generator comprising: a digital processing circuit; a memory circuit in communication with the digital processing circuit, the memory circuit defining a lookup table; a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, the digital synthesis circuit receiving a clock signal; and a digital-to-analog converter (DAC) circuit; the digital processing circuit configured to: store phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; and store phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; at each clock cycle the digital synthesis circuit is configured to: retrieve a phase point from the first lookup table; retrieve a phase point from the second lookup table; the digital processing circuit configured to: combine the phase point from the first lookup table with the phase point from the second lookup table to generate a combined phase point; and the DAC circuit is configured to convert the combined phase point into an analog signal; wherein the analog signal is configured to drive a first and second ultrasonic transducer.


65. The generator of clause 64, comprising a non-volatile memory.


66. The generator of clauses 64 or 65, comprising a field programmable gate array (FPGA).


67. The generator of any one of clauses 64-66, comprising an amplifier coupled to the DAC circuit.


68. The generator of any one of clauses 64-67, wherein the digital synthesis circuit is a direct digital synthesis (DDS) circuit.


69. The generator of any one of clauses 64-68, comprising a filter coupled to an output of the DAC circuit.


70. A method of generating electrical signal waveforms by a generator, the generator comprising a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the memory circuit defining first and second lookup tables, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape; receiving, by the digital synthesis circuit, a clock signal, and at each clock cycle; retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; combining, by the digital processing circuit, the first and second digital electrical signal waveforms to form a combined digital electrical signal waveform; and modifying, by the digital processing circuit, the combined digital electrical signal waveform to form a modified digital electrical signal waveform, wherein a peak amplitude of the modified digital electrical signal waveform does not exceed a predetermined amplitude value.


71. The method of clause 70, comprising defining, by the digital processing circuit, the first or second digital electrical signal waveform as a radio frequency (RF) drive signal.


72. The method of clause 70 or 71, comprising defining, by the digital processing circuit, the first or second digital electrical signal waveform as an ultrasonic drive signal.


73. The method of any one of clauses 70-72, comprising determining, by the digital processing circuit, the peak amplitude of the combined digital electrical signal waveform while the combined digital electrical signal waveform is being delivered.


74. The method of clause 73, wherein modifying the combined digital electrical signal waveform comprises reducing an amplitude of the combined digital electrical signal waveform upon determining that the peak amplitude of the combined digital electrical signal waveform is approaching while the combined digital electrical signal waveform is being delivered.


75. The method of any one of clauses 70-74, wherein the generator comprises a direct digital synthesis (DDS) circuit and wherein generating the first or second digital electrical signal waveform comprises generating the first or second digital electrical signal waveform via the DDS circuit.


76. The method of any one of clauses 70-75, comprising determining a peak amplitude of the combined waveform and wherein modifying the combined waveform comprises modifying the combined waveform based on the peak amplitude of the combined waveform.


77. The method of any one of clauses 70-76, comprising converting, by the DAC circuit, the digital electrical signal waveform to an analog signal and outputting the analog signal.


78. The method of clause 77, wherein the generator comprises a transformer with a plurality of taps, the method comprises outputting the analog signal via a single port of the generator.


79. A method of generating electrical signal waveforms by a generator, the generator comprising a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the memory circuit defining first and second lookup tables, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape, wherein the second digital electrical signal waveform is a function of the first digital electrical signal waveform; receiving, by the digital synthesis circuit, a clock signal, and at each clock cycle; retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; combining, by the digital processing circuit, the first and second digital electrical signal waveforms to form a combined digital electrical signal waveform; and modifying, by the digital processing circuit, the combined digital electrical signal waveform to form a modified digital electrical signal waveform, wherein a peak amplitude of the modified digital electrical signal waveform does not exceed a predetermined amplitude value.


80. The method of clause 79, comprising extracting, by the digital processing circuit, the first or second digital electrical signal waveform from the combined digital electrical signal waveform.


81. The method of clause 80, wherein the first or second digital electrical signal waveform comprises a wave function, the method comprising extracting the wave function from the combined digital electrical signal waveform.


82. The method of any one of clauses 80-81, comprising outputting the combined digital electrical signal waveform via a single port of the generator.


83. The method of any one of clauses 80-82, comprising defining, by the digital processing circuit, the first or second digital electrical signal waveform as an ultrasonic drive signal.


84. The method of any one of clauses 80-83, comprising defining, by the digital processing circuit, the first or second digital electrical signal waveform as a radio frequency (RF) drive signal.


85. A method of generating electrical signal waveforms by a generator, the generator comprising a digital processing circuit, a memory circuit in communication with the digital processing circuit, a digital synthesis circuit in communication with the digital processing circuit and the memory circuit, and a digital-to-analog converter (DAC) circuit, the memory circuit defining first and second lookup tables, the method comprising: storing, by the digital processing circuit, phase points of a first digital electrical signal waveform in a first lookup table defined by the memory circuit, wherein the first digital electrical signal waveform is represented by a first predetermined number of phase points, wherein the first predetermined number of phase points define a first predetermined wave shape; storing, by the digital processing circuit, phase points of a second digital electrical signal waveform in a second lookup table defined by the memory circuit, wherein the second digital electrical signal waveform is represented by a second predetermined number of phase points, wherein the second predetermined number of phase points define a second predetermined wave shape, wherein the second digital electrical signal waveform is a function of the first digital electrical signal waveform; receiving, by the digital synthesis circuit, a clock signal, and at each clock cycle; retrieving, by the digital synthesis circuit, a phase point from the first lookup table; retrieving, by the digital synthesis circuit, a phase point from the second lookup table; modifying, by the digital processing circuit, a frequency of the first digital electrical signal waveform to form a frequency modified first digital electrical signal waveform; and combining, by the digital processing circuit, the frequency modified first digital electrical signal waveform and the second digital electrical signal waveform to form a combined digital electrical signal waveform.


86. The method of clause 85, comprising defining, by the digital processing circuit, the first or second digital electrical signal waveform as a radio frequency (RF) drive signal.


87. The method of clauses 85-86, comprising defining, by the digital processing circuit, the first or second digital electrical signal waveform as an ultrasonic drive signal.


88. The method of any one of clauses 85-87, comprising outputting the combined digital electrical signal waveform via a single port of the generator.


89. The method of any one of clauses 85-88, wherein the generator comprises a direct digital synthesis (DDS) circuit, wherein generating the first digital electrical signal waveform comprises generating the first or second digital electrical signal waveform via the DDS circuit.


90. A method of generating electrical signal waveforms by a generator, the generator comprising a processor and a memory in communication with the processor, the memory defining a first and second table, the method comprising: retrieving, by the processor, information from the first table defined the memory, wherein the information is associated with a first wave shape of a first electrical signal waveform for performing a surgical procedure; retrieving, by the processor, information from the second table defined in the memory, wherein the information is associated with a second wave shape of a second electrical signal waveform for performing a surgical procedure; combining, by the processor, the first and second wave shapes to create a combined wave shape of an electrical signal waveform for performing a surgical procedure; and delivering the combined wave shape electrical signal waveform for performing a surgical procedure to a surgical instrument.


91. The method of clause 90, wherein the first table is defined by the first memory and the second table is defined by a second memory.


92. The method of clause 90 or 91, wherein the first wave shape is associated with a radio frequency (RF) electrical signal waveform and the second wave shape is associated with an ultrasonic electrical signal waveform.


93. The method of any one of clauses 90-92, wherein the first wave shape is associated with a first ultrasonic electrical signal waveform and the second wave shape is associated with a second ultrasonic electrical signal waveform.


94. The method of any one of clauses 90-93, comprising creating the first and second table by a direct digital synthesis circuit coupled to the processor.


95. The method of clause 94, comprising: addressing, by the processor, the first table according to a frequency of the first electrical signal waveform; and addressing, by the processor, the second table according to a frequency of the second electrical signal waveform.


96. The method of clause 94, comprising: storing, by the processor, the information associated with the first wave shape in the memory; and storing, by the processor, the information associated with the second wave shape


97. The method of any one of clauses 90-96, comprising: receiving, by the processor, a feedback signal associated with tissue parameters; and modifying the first and second wave shapes according to the feedback signal.


98. A method of generating electrical signal waveforms by a generator, the generator comprising a processor and a memory in communication with the processor, the memory defining a first and second table, the method comprising: retrieving, by the processor, information from the first table defined the memory, wherein the information is associated with a first wave shape of a first electrical signal waveform for performing a surgical procedure; retrieving, by the processor, information from the second table defined in the memory, wherein the information is associated with a second wave shape of a second electrical signal waveform for performing a surgical procedure; and delivering the first and second electrical signal waveforms for performing a surgical procedure to a surgical instrument.


99. The method of clause 98, comprising switching between the first and second electrical signal waveforms.


100. The method of clause 98 or 99, comprising: synchronizing the first and second electrical signal waveforms; and maximizing power delivered to the surgical instrument.


101. The method of any one of clauses 98-100, wherein the first digital electrical signal waveform represents a RF waveform and the second digital electrical signal waveform represents an ultrasonic signal waveform.


102. The method of any one of clauses 98-101, wherein the first wave shape is associated with a first ultrasonic electrical signal waveform and the second wave shape is associated with a second ultrasonic electrical signal waveform.


103. A method of generating electrical signal waveforms by a generator, the generator comprising a processor and a memory in communication with the processor, the memory defining a first and second table, the method comprising: retrieving, by the processor, information from the first table defined the memory, wherein the information is associated with a first wave shape of a first electrical signal waveform for performing a surgical procedure; retrieving, by the processor, information from the second table defined in the memory, wherein the information is associated with a second wave shape of a second electrical signal waveform for performing a surgical procedure; and combining, by the processor, the first and second wave shapes to create a combined wave shape of an electrical signal waveform for performing a surgical procedure; delivering the combined wave shape electrical signal waveform for performing a surgical procedure to a surgical instrument; and modifying, by the processor, the combined wave shape of the electrical signal waveform to form a modified electrical signal waveform, wherein a peak amplitude of the modified electrical signal waveform does not exceed a predetermined amplitude.


104. The method of clause 103, wherein the first wave shape is associated with a first radio frequency (RF) electrical signal waveform and the second wave shape is associated with a second RF electrical signal waveform.


105. The method of clause 103 or 104, wherein the first wave shape is associated with a first ultrasonic electrical signal waveform and the second wave shape is associated with a second ultrasonic electrical signal waveform.


106. The method of any one of clauses 103-105, wherein the first wave shape is associated with a RF electrical signal waveform and the second wave shape is associated with an ultrasonic electrical signal waveform.


107. The method of any one of clauses 103-106, comprising determining, by the processor, the peak amplitude of the combined electrical signal waveform while delivering the combined electrical signal waveform to the surgical instrument.


108. The method of any one of clauses 103-107, comprising reducing an amplitude of the combined electrical signal waveform when the peak amplitude of the combined electrical signal waveform is approaching.


109. The method of any one of clauses 103-108, comprising determining a peak amplitude of the combined electrical signal waveform and modifying the combined electrical signal waveform comprises based on the determined peak amplitude of the combined electrical signal waveform.

Claims
  • 1. A generator comprising: a processor;a memory in communication with the processor, the memory defining a first and second table; andan electrical output port;wherein the processor is configured to: retrieve phase points defining a first digital electrical signal wave shape of a first electrical signal waveform from the first table defined in the memory;retrieve phase points defining a second digital electrical signal wave shape of a second electrical signal waveform from the second table defined in the memory;combine the phase points of the first digital electrical signal wave shape and the phase points of the second digital electrical signal wave shape to create a combined wave shape of a combined electrical signal waveform for performing a surgical procedure; anddeliver the combined wave shape of the combined electrical signal waveform for performing the surgical procedure to a surgical instrument via the electrical output port.
  • 2. The generator of claim 1, wherein the memory is a first memory, and the generator comprises a second memory; and wherein the first table is defined by the first memory, and the second table is defined by a second memory.
  • 3. The generator of claim 1, wherein the first digital electrical signal wave shape is associated with a radio frequency (RF) electrical signal waveform and the second digital electrical signal wave shape is associated with an ultrasonic electrical signal waveform.
  • 4. The generator of claim 1, wherein the first digital electrical signal wave shape is associated with a first ultrasonic electrical signal waveform and the second digital electrical signal wave shape is associated with a second ultrasonic electrical signal waveform.
  • 5. The generator of claim 1, further comprising a direct digital synthesis circuit coupled to the processor and configured to create the first and second table.
  • 6. The generator of claim 5, wherein the processor is further configured to: address the first table according to a frequency of the first electrical signal waveform; andaddress the second table according to a frequency of the second electrical signal waveform.
  • 7. The generator of claim 5, wherein the processor is further configured to: store information associated with the first digital electrical signal wave shape in the memory; andstore information associated with the second digital electrical signal wave shape.
  • 8. The generator of claim 1, wherein the processor is further configured to: receive a feedback signal associated with tissue parameters; andmodify the first and second digital electrical wave shapes according to the feedback signal.
  • 9. A generator comprising: a processor;a memory in communication with the processor, the memory defining a first and second table; andan electrical output port;wherein the processor is configured to: retrieve information from the first table defined in the memory, wherein the information from the first table is associated with a first wave shape of a first electrical signal waveform for performing a surgical procedure;retrieve information from the second table defined in the memory, wherein the information from the second table is associated with a second wave shape of a second electrical signal waveform for performing a surgical procedure;deliver the first and second electrical signal waveforms for performing a surgical procedure to a surgical instrument via the electrical output port; wherein delivering the first and second electrical signal waveforms comprises at least one of: switching between the first and second electrical signal waveforms or synchronizing the first and second electrical signal waveforms;receive a feedback signal associated with tissue parameters; andbased on the feedback signal, and while delivering the first and second electrical signal waveforms, determine whether to: switch from a first phase point of the first electrical signal waveform to a second phase point of the second electrical signal waveform and convert the second phase point to a first analog signal; orsynchronize delivery of the first and the second phase points and convert the synchronized first and the second phase points to a second analog signal.
  • 10. The generator of claim 9, wherein the processor is further configured to maximize power delivered to the surgical instrument.
  • 11. The generator of claim 9, wherein the first electrical signal waveform represents a radio frequency (RF) waveform and the second electrical signal waveform represents an ultrasonic signal waveform.
  • 12. The generator of claim 9, wherein the first wave shape is associated with a first ultrasonic electrical signal waveform and the second wave shape is associated with a second ultrasonic electrical signal waveform.
  • 13. A generator comprising: a processor;a memory in communication with the processor, the memory defining a first and second table; andan electrical output port;wherein the processor is configured to: retrieve information from the first table defined in the memory, wherein the information from the first table is associated with a first wave shape of a first electrical signal waveform for performing a surgical procedure;retrieve information from the second table defined in the memory, wherein the information from the second table is associated with a second wave shape of a second electrical signal waveform for performing a surgical procedure; andcombine the first and second wave shapes to create a combined wave shape of a combined electrical signal waveform for performing a surgical procedure;deliver the combined wave shape of the combined electrical signal waveform for performing the surgical procedure to a surgical instrument via the electrical output port; andmodify the combined wave shape of the combined electrical signal waveform to form a modified electrical signal waveform, the modified electrical signal waveform comprising a peak amplitude that does not exceed a predetermined amplitude and is less than a peak amplitude of the combined electrical signal waveform.
  • 14. The generator of claim 13, wherein the first wave shape is associated with a first radio frequency (RF) electrical signal waveform and the second wave shape is associated with a second RF electrical signal waveform.
  • 15. The generator of claim 13, wherein the first wave shape is associated with a first ultrasonic electrical signal waveform and the second wave shape is associated with a second ultrasonic electrical signal waveform.
  • 16. The generator of claim 13, wherein the first wave shape is associated with a radio frequency (RF) electrical signal waveform and the second wave shape is associated with an ultrasonic electrical signal waveform.
  • 17. The generator of claim 13, wherein the processor is further configured to determine the peak amplitude of the combined electrical signal waveform while delivering the combined electrical signal waveform to the surgical instrument.
  • 18. The generator of claim 13, wherein the processor is further configured to reduce an amplitude of the combined electrical signal waveform prior to an occurrence of the peak amplitude of the combined electrical signal waveform.
  • 19. The generator of claim 13, wherein the processor is further configured to: determine the peak amplitude of the combined electrical signal waveform; and
CROSS-REFERENCE TO RELATED APPLICATIONS

This application is a continuation application claiming priority under 35 U.S.C. § 120 to U.S. patent application Ser. No. 15/265,279, titled TECHNIQUES FOR OPERATING GENERATOR FOR DIGITALLY GENERATING ELECTRICAL SIGNAL WAVEFORMS AND SURGICAL INSTRUMENTS, filed Sep. 14, 2016, now U.S. Pat. No. 10,624,691, which claims the benefit under 35 U.S.C. § 119(e) of U.S. Provisional Patent Application Ser. No. 62/235,260, titled GENERATOR FOR PROVIDING COMBINED RADIO FREQUENCY AND ULTRASONIC ENERGIES, filed Sep. 30, 2015, U.S. Provisional Patent Application Ser. No. 62/235,368, titled CIRCUIT TOPOLOGIES FOR GENERATOR, filed Sep. 30, 2015, and U.S. Provisional Patent Application Ser. No. 62/235,466, titled SURGICAL INSTRUMENT WITH USER ADAPTABLE ALGORITHMS, filed Sep. 30, 2015, the contents of each of which are incorporated herein by reference in their entirety.

US Referenced Citations (3269)
Number Name Date Kind
969528 Disbrow Sep 1910 A
1570025 Young Jan 1926 A
1813902 Bovie Jul 1931 A
2188497 Calva Jan 1940 A
2366274 Luth et al. Jan 1945 A
2425245 Johnson Aug 1947 A
2442966 Wallace Jun 1948 A
2458152 Eakins Jan 1949 A
2510693 Green Jun 1950 A
2597564 Bugg May 1952 A
2704333 Calosi et al. Mar 1955 A
2736960 Armstrong Mar 1956 A
2748967 Roach Jun 1956 A
2845072 Shafer Jul 1958 A
2849788 Creek Sep 1958 A
2867039 Zach Jan 1959 A
2874470 Richards Feb 1959 A
2990616 Balamuth et al. Jul 1961 A
RE25033 Balamuth et al. Aug 1961 E
3015961 Roney Jan 1962 A
3033407 Alfons May 1962 A
3053124 Balamuth et al. Sep 1962 A
3082805 Royce Mar 1963 A
3166971 Stoecker Jan 1965 A
3322403 Murphy May 1967 A
3432691 Shoh Mar 1969 A
3433226 Boyd Mar 1969 A
3489930 Shoh Jan 1970 A
3513848 Winston et al. May 1970 A
3514856 Camp et al. Jun 1970 A
3525912 Wallin Aug 1970 A
3526219 Balamuth Sep 1970 A
3554198 Tatoian et al. Jan 1971 A
3580841 Cadotte et al. May 1971 A
3606682 Camp et al. Sep 1971 A
3614484 Shoh Oct 1971 A
3616375 Inoue Oct 1971 A
3629726 Popescu Dec 1971 A
3636943 Balamuth Jan 1972 A
3668486 Silver Jun 1972 A
3702948 Balamuth Nov 1972 A
3703651 Blowers Nov 1972 A
3776238 Peyman et al. Dec 1973 A
3777760 Essner Dec 1973 A
3805787 Banko Apr 1974 A
3809977 Balamuth et al. May 1974 A
3830098 Antonevich Aug 1974 A
3854737 Gilliam, Sr. Dec 1974 A
3862630 Balamuth Jan 1975 A
3875945 Friedman Apr 1975 A
3885438 Harris, Sr. et al. May 1975 A
3900823 Sokal et al. Aug 1975 A
3918442 Nikolaev et al. Nov 1975 A
3924335 Balamuth et al. Dec 1975 A
3946738 Newton et al. Mar 1976 A
3955859 Stella et al. May 1976 A
3956826 Perdreaux, Jr. May 1976 A
3989952 Hohmann Nov 1976 A
4005714 Hiltebrandt Feb 1977 A
4012647 Balamuth et al. Mar 1977 A
4034762 Cosens et al. Jul 1977 A
4058126 Leveen Nov 1977 A
4074719 Semm Feb 1978 A
4156187 Murry et al. May 1979 A
4167944 Banko Sep 1979 A
4188927 Harris Feb 1980 A
4200106 Douvas et al. Apr 1980 A
4203430 Takahashi May 1980 A
4203444 Bonnell et al. May 1980 A
4220154 Semm Sep 1980 A
4237441 van Konynenburg et al. Dec 1980 A
4244371 Farin Jan 1981 A
4281785 Brooks Aug 1981 A
4300083 Heiges Nov 1981 A
4302728 Nakamura Nov 1981 A
4304987 van Konynenburg Dec 1981 A
4306570 Matthews Dec 1981 A
4314559 Allen Feb 1982 A
4353371 Cosman Oct 1982 A
4409981 Lundberg Oct 1983 A
4445063 Smith Apr 1984 A
4461304 Kuperstein Jul 1984 A
4463759 Garito et al. Aug 1984 A
4491132 Aikins Jan 1985 A
4492231 Auth Jan 1985 A
4494759 Kieffer Jan 1985 A
4504264 Kelman Mar 1985 A
4512344 Barber Apr 1985 A
4526571 Wuchinich Jul 1985 A
4535773 Yoon Aug 1985 A
4541638 Ogawa et al. Sep 1985 A
4545374 Jacobson Oct 1985 A
4545926 Fouts, Jr. et al. Oct 1985 A
4549147 Kondo Oct 1985 A
4550870 Krumme et al. Nov 1985 A
4553544 Nomoto et al. Nov 1985 A
4562838 Walker Jan 1986 A
4574615 Bower et al. Mar 1986 A
4582236 Hirose Apr 1986 A
4593691 Lindstrom et al. Jun 1986 A
4608981 Rothfuss et al. Sep 1986 A
4617927 Manes Oct 1986 A
4633119 Thompson Dec 1986 A
4633874 Chow et al. Jan 1987 A
4634420 Spinosa et al. Jan 1987 A
4640279 Beard Feb 1987 A
4641053 Takeda Feb 1987 A
4646738 Trott Mar 1987 A
4646756 Watmough et al. Mar 1987 A
4649919 Thimsen et al. Mar 1987 A
4662068 Polonsky May 1987 A
4674502 Imonti Jun 1987 A
4694835 Strand Sep 1987 A
4708127 Abdelghani Nov 1987 A
4712722 Hood et al. Dec 1987 A
4735603 Goodson et al. Apr 1988 A
4739759 Rexroth et al. Apr 1988 A
4761871 O'Connor et al. Aug 1988 A
4808154 Freeman Feb 1989 A
4819635 Shapiro Apr 1989 A
4827911 Broadwin et al. May 1989 A
4830462 Karny et al. May 1989 A
4832683 Idemoto et al. May 1989 A
4836186 Scholz Jun 1989 A
4838853 Parisi Jun 1989 A
4844064 Thimsen et al. Jul 1989 A
4849133 Yoshida et al. Jul 1989 A
4850354 McGurk-Burleson et al. Jul 1989 A
4852578 Companion et al. Aug 1989 A
4860745 Farin et al. Aug 1989 A
4862890 Stasz et al. Sep 1989 A
4865159 Jamison Sep 1989 A
4867157 McGurk-Burleson et al. Sep 1989 A
4878493 Pasternak et al. Nov 1989 A
4880015 Nierman Nov 1989 A
4881550 Kothe Nov 1989 A
4896009 Pawlowski Jan 1990 A
4903696 Stasz et al. Feb 1990 A
4910389 Sherman et al. Mar 1990 A
4915643 Samejima et al. Apr 1990 A
4920978 Colvin May 1990 A
4922902 Wuchinich et al. May 1990 A
4926860 Stice et al. May 1990 A
4936842 D'Amelio et al. Jun 1990 A
4954960 Lo et al. Sep 1990 A
4965532 Sakurai Oct 1990 A
4979952 Kubota et al. Dec 1990 A
4981756 Rhandhawa Jan 1991 A
5001649 Lo et al. Mar 1991 A
5009661 Michelson Apr 1991 A
5013956 Kurozumi et al. May 1991 A
5015227 Broadwin et al. May 1991 A
5020514 Heckele Jun 1991 A
5026370 Lottick Jun 1991 A
5026387 Thomas Jun 1991 A
5035695 Weber, Jr. et al. Jul 1991 A
5042461 Inoue et al. Aug 1991 A
5042707 Taheri Aug 1991 A
5052145 Wang Oct 1991 A
5061269 Muller Oct 1991 A
5075839 Fisher et al. Dec 1991 A
5084052 Jacobs Jan 1992 A
5099840 Goble et al. Mar 1992 A
5104025 Main et al. Apr 1992 A
5105117 Yamaguchi Apr 1992 A
5106538 Barma et al. Apr 1992 A
5108383 White Apr 1992 A
5109819 Custer et al. May 1992 A
5112300 Ureche May 1992 A
5113139 Furukawa May 1992 A
5123903 Quaid et al. Jun 1992 A
5126618 Takahashi et al. Jun 1992 A
D327872 McMills et al. Jul 1992 S
5152762 McElhenney Oct 1992 A
5156633 Smith Oct 1992 A
5160334 Billings et al. Nov 1992 A
5162044 Gahn et al. Nov 1992 A
5163421 Bernstein et al. Nov 1992 A
5163537 Radev Nov 1992 A
5163945 Ortiz et al. Nov 1992 A
5167619 Wuchinich Dec 1992 A
5167725 Clark et al. Dec 1992 A
5172344 Ehrlich Dec 1992 A
5174276 Crockard Dec 1992 A
D332660 Rawson et al. Jan 1993 S
5176677 Wuchinich Jan 1993 A
5176695 Dulebohn Jan 1993 A
5184605 Grzeszykowski Feb 1993 A
5188102 Idemoto et al. Feb 1993 A
D334173 Liu et al. Mar 1993 S
5190517 Zieve et al. Mar 1993 A
5190518 Takasu Mar 1993 A
5190541 Abele et al. Mar 1993 A
5196007 Ellman et al. Mar 1993 A
5203380 Chikama Apr 1993 A
5205459 Brinkerhoff et al. Apr 1993 A
5205817 Idemoto et al. Apr 1993 A
5209719 Baruch et al. May 1993 A
5213569 Davis May 1993 A
5214339 Naito May 1993 A
5217460 Knoepfler Jun 1993 A
5218529 Meyer et al. Jun 1993 A
5221282 Wuchinich Jun 1993 A
5222937 Kagawa Jun 1993 A
5226909 Evans et al. Jul 1993 A
5226910 Kajiyama et al. Jul 1993 A
5231989 Middleman et al. Aug 1993 A
5234428 Kaufman Aug 1993 A
5241236 Sasaki et al. Aug 1993 A
5241968 Slater Sep 1993 A
5242339 Thornton Sep 1993 A
5242460 Klein et al. Sep 1993 A
5246003 DeLonzor Sep 1993 A
5254129 Alexander Oct 1993 A
5257988 L'Esperance, Jr. Nov 1993 A
5258004 Bales et al. Nov 1993 A
5258006 Rydell et al. Nov 1993 A
5261922 Hood Nov 1993 A
5263957 Davison Nov 1993 A
5264925 Shipp et al. Nov 1993 A
5269297 Weng et al. Dec 1993 A
5275166 Vaitekunas et al. Jan 1994 A
5275607 Lo et al. Jan 1994 A
5275609 Pingleton et al. Jan 1994 A
5282800 Foshee et al. Feb 1994 A
5282817 Hoogeboom et al. Feb 1994 A
5285795 Ryan et al. Feb 1994 A
5285945 Brinkerhoff et al. Feb 1994 A
5290286 Parins Mar 1994 A
5293863 Zhu et al. Mar 1994 A
5300068 Rosar et al. Apr 1994 A
5304115 Pflueger et al. Apr 1994 A
D347474 Olson May 1994 S
5307976 Olson et al. May 1994 A
5309927 Welch May 1994 A
5312023 Green et al. May 1994 A
5312425 Evans et al. May 1994 A
5318525 West et al. Jun 1994 A
5318563 Malis et al. Jun 1994 A
5318564 Eggers Jun 1994 A
5318570 Hood et al. Jun 1994 A
5318589 Lichtman Jun 1994 A
5322055 Davison et al. Jun 1994 A
5324299 Davison et al. Jun 1994 A
5326013 Green et al. Jul 1994 A
5326342 Pflueger et al. Jul 1994 A
5330471 Eggers Jul 1994 A
5330502 Hassler et al. Jul 1994 A
5334183 Wuchinich Aug 1994 A
5339723 Huitema Aug 1994 A
5342356 Ellman et al. Aug 1994 A
5342359 Rydell Aug 1994 A
5344420 Hilal et al. Sep 1994 A
5345937 Middleman et al. Sep 1994 A
5346502 Estabrook et al. Sep 1994 A
5353474 Good et al. Oct 1994 A
5357164 Imabayashi et al. Oct 1994 A
5357423 Weaver et al. Oct 1994 A
5359994 Krauter et al. Nov 1994 A
5361583 Huitema Nov 1994 A
5366466 Christian et al. Nov 1994 A
5368557 Nita et al. Nov 1994 A
5370645 Klicek et al. Dec 1994 A
5371429 Manna Dec 1994 A
5374813 Shipp Dec 1994 A
D354564 Medema Jan 1995 S
5381067 Greenstein et al. Jan 1995 A
5383874 Jackson et al. Jan 1995 A
5383917 Desai et al. Jan 1995 A
5387207 Dyer et al. Feb 1995 A
5387215 Fisher Feb 1995 A
5389098 Tsuruta et al. Feb 1995 A
5394187 Shipp Feb 1995 A
5395033 Byrne et al. Mar 1995 A
5395312 Desai Mar 1995 A
5395363 Billings et al. Mar 1995 A
5395364 Anderhub et al. Mar 1995 A
5396266 Brimhall Mar 1995 A
5396900 Slater et al. Mar 1995 A
5400267 Denen et al. Mar 1995 A
5403312 Yates et al. Apr 1995 A
5403334 Evans et al. Apr 1995 A
5406503 Williams, Jr. et al. Apr 1995 A
5408268 Shipp Apr 1995 A
D358887 Feinberg May 1995 S
5411481 Allen et al. May 1995 A
5417709 Slater May 1995 A
5419761 Narayanan et al. May 1995 A
5421829 Olichney et al. Jun 1995 A
5423844 Miller Jun 1995 A
5428504 Bhatia Jun 1995 A
5429131 Scheinman et al. Jul 1995 A
5438997 Sieben et al. Aug 1995 A
5441499 Fritzsch Aug 1995 A
5443463 Stern et al. Aug 1995 A
5445638 Rydell et al. Aug 1995 A
5445639 Kuslich et al. Aug 1995 A
5447509 Mills et al. Sep 1995 A
5449370 Vaitekunas Sep 1995 A
5451053 Garrido Sep 1995 A
5451161 Sharp Sep 1995 A
5451220 Ciervo Sep 1995 A
5451227 Michaelson Sep 1995 A
5456684 Schmidt et al. Oct 1995 A
5458598 Feinberg et al. Oct 1995 A
5462604 Shibano et al. Oct 1995 A
5465895 Knodel et al. Nov 1995 A
5471988 Fujio et al. Dec 1995 A
5472443 Cordis et al. Dec 1995 A
5476479 Green et al. Dec 1995 A
5478003 Green et al. Dec 1995 A
5480409 Riza Jan 1996 A
5483501 Park et al. Jan 1996 A
5484436 Eggers et al. Jan 1996 A
5486162 Brumbach Jan 1996 A
5486189 Mudry et al. Jan 1996 A
5490860 Middle et al. Feb 1996 A
5496317 Goble et al. Mar 1996 A
5499992 Meade et al. Mar 1996 A
5500216 Julian et al. Mar 1996 A
5501654 Failla et al. Mar 1996 A
5504650 Katsui et al. Apr 1996 A
5505693 Mackool Apr 1996 A
5507297 Slater et al. Apr 1996 A
5507738 Ciervo Apr 1996 A
5509922 Aranyi et al. Apr 1996 A
5511556 DeSantis Apr 1996 A
5520704 Castro et al. May 1996 A
5522832 Kugo et al. Jun 1996 A
5522839 Pilling Jun 1996 A
5527331 Kresch et al. Jun 1996 A
5531744 Nardella et al. Jul 1996 A
5536267 Edwards et al. Jul 1996 A
5540681 Strul et al. Jul 1996 A
5540693 Fisher Jul 1996 A
5542916 Hirsch et al. Aug 1996 A
5548286 Craven Aug 1996 A
5549637 Crainich Aug 1996 A
5553675 Pitzen et al. Sep 1996 A
5558671 Yates Sep 1996 A
5562609 Brumbach Oct 1996 A
5562610 Brumbach Oct 1996 A
5562659 Morris Oct 1996 A
5562703 Desai Oct 1996 A
5563179 Stone et al. Oct 1996 A
5569164 Lurz Oct 1996 A
5571121 Heifetz Nov 1996 A
5573424 Poppe Nov 1996 A
5573533 Strul Nov 1996 A
5573534 Stone Nov 1996 A
5577654 Bishop Nov 1996 A
5584830 Ladd et al. Dec 1996 A
5591187 Dekel Jan 1997 A
5593414 Shipp et al. Jan 1997 A
5599350 Schulze et al. Feb 1997 A
5600526 Russell et al. Feb 1997 A
5601601 Tai et al. Feb 1997 A
5603773 Campbell Feb 1997 A
5607436 Pratt et al. Mar 1997 A
5607450 Zvenyatsky et al. Mar 1997 A
5609573 Sandock Mar 1997 A
5611813 Lichtman Mar 1997 A
5618304 Hart et al. Apr 1997 A
5618307 Donlon et al. Apr 1997 A
5618492 Auten et al. Apr 1997 A
5620447 Smith et al. Apr 1997 A
5624452 Yates Apr 1997 A
5626587 Bishop et al. May 1997 A
5626595 Sklar et al. May 1997 A
5626608 Cuny et al. May 1997 A
5628760 Knoepfler May 1997 A
5630420 Vaitekunas May 1997 A
5632432 Schulze et al. May 1997 A
5632717 Yoon May 1997 A
5638827 Palmer et al. Jun 1997 A
5640741 Yano Jun 1997 A
D381077 Hunt Jul 1997 S
5647871 Levine et al. Jul 1997 A
5649937 Bito et al. Jul 1997 A
5649955 Hashimoto et al. Jul 1997 A
5651780 Jackson et al. Jul 1997 A
5653713 Michelson Aug 1997 A
5655100 Ebrahim et al. Aug 1997 A
5658281 Heard Aug 1997 A
5662662 Bishop et al. Sep 1997 A
5662667 Knodel Sep 1997 A
5665085 Nardella Sep 1997 A
5665100 Yoon Sep 1997 A
5669922 Hood Sep 1997 A
5674219 Monson et al. Oct 1997 A
5674220 Fox et al. Oct 1997 A
5674235 Parisi Oct 1997 A
5678568 Uchikubo et al. Oct 1997 A
5688270 Yates et al. Nov 1997 A
5690269 Bolanos et al. Nov 1997 A
5693042 Boiarski et al. Dec 1997 A
5693051 Schulze et al. Dec 1997 A
5694936 Fujimoto et al. Dec 1997 A
5695510 Hood Dec 1997 A
5700261 Brinkerhoff Dec 1997 A
5704534 Huitema et al. Jan 1998 A
5704791 Gillio Jan 1998 A
5707369 Vaitekunas et al. Jan 1998 A
5709680 Yates et al. Jan 1998 A
5711472 Bryan Jan 1998 A
5713896 Nardella Feb 1998 A
5715817 Stevens-Wright et al. Feb 1998 A
5716366 Yates Feb 1998 A
5717306 Shipp Feb 1998 A
5720742 Zacharias Feb 1998 A
5720744 Eggleston et al. Feb 1998 A
5722980 Schulz et al. Mar 1998 A
5723970 Bell Mar 1998 A
5728130 Ishikawa et al. Mar 1998 A
5730752 Alden et al. Mar 1998 A
5733074 Stock et al. Mar 1998 A
5735848 Yates et al. Apr 1998 A
5741226 Strukel et al. Apr 1998 A
5743906 Parins et al. Apr 1998 A
5752973 Kieturakis May 1998 A
5755717 Yates et al. May 1998 A
5762255 Chrisman et al. Jun 1998 A
5766164 Mueller et al. Jun 1998 A
5772659 Becker et al. Jun 1998 A
5776130 Buysse et al. Jul 1998 A
5776155 Beaupre et al. Jul 1998 A
5779130 Alesi et al. Jul 1998 A
5779701 McBrayer et al. Jul 1998 A
5782834 Lucey et al. Jul 1998 A
5792135 Madhani et al. Aug 1998 A
5792138 Shipp Aug 1998 A
5792165 Klieman et al. Aug 1998 A
5796188 Bays Aug 1998 A
5797941 Schulze et al. Aug 1998 A
5797958 Yoon Aug 1998 A
5797959 Castro et al. Aug 1998 A
5800432 Swanson Sep 1998 A
5800448 Banko Sep 1998 A
5800449 Wales Sep 1998 A
5805140 Rosenberg et al. Sep 1998 A
5807393 Williamson, IV et al. Sep 1998 A
5808396 Boukhny Sep 1998 A
5810811 Yates et al. Sep 1998 A
5810828 Lightman et al. Sep 1998 A
5810859 DiMatteo et al. Sep 1998 A
5817033 DeSantis et al. Oct 1998 A
5817084 Jensen Oct 1998 A
5817093 Williamson, IV et al. Oct 1998 A
5817119 Klieman et al. Oct 1998 A
5823197 Edwards Oct 1998 A
5827271 Buysse et al. Oct 1998 A
5827323 Klieman et al. Oct 1998 A
5828160 Sugishita Oct 1998 A
5833696 Whitfield et al. Nov 1998 A
5836897 Sakurai et al. Nov 1998 A
5836909 Cosmescu Nov 1998 A
5836943 Miller, III Nov 1998 A
5836957 Schulz et al. Nov 1998 A
5836990 Li Nov 1998 A
5843109 Mehta et al. Dec 1998 A
5851212 Zirps et al. Dec 1998 A
5853412 Mayenberger Dec 1998 A
5854590 Dalstein Dec 1998 A
5858018 Shipp et al. Jan 1999 A
5865361 Milliman et al. Feb 1999 A
5873873 Smith et al. Feb 1999 A
5873882 Straub et al. Feb 1999 A
5876401 Schulze et al. Mar 1999 A
5878193 Wang et al. Mar 1999 A
5879364 Bromfield et al. Mar 1999 A
5880668 Hall Mar 1999 A
5883615 Fago et al. Mar 1999 A
5891142 Eggers et al. Apr 1999 A
5893835 Witt et al. Apr 1999 A
5897523 Wright et al. Apr 1999 A
5897569 Kellogg et al. Apr 1999 A
5903607 Tailliet May 1999 A
5904681 West, Jr. May 1999 A
5906625 Bito et al. May 1999 A
5906627 Spaulding May 1999 A
5906628 Miyawaki et al. May 1999 A
5910129 Koblish et al. Jun 1999 A
5911699 Anis et al. Jun 1999 A
5913823 Hedberg et al. Jun 1999 A
5916229 Evans Jun 1999 A
5921956 Grinberg et al. Jul 1999 A
5929846 Rosenberg et al. Jul 1999 A
5935143 Hood Aug 1999 A
5935144 Estabrook Aug 1999 A
5938633 Beaupre Aug 1999 A
5944718 Austin et al. Aug 1999 A
5944737 Tsonton et al. Aug 1999 A
5947984 Whipple Sep 1999 A
5954717 Behl et al. Sep 1999 A
5954736 Bishop et al. Sep 1999 A
5954746 Holthaus et al. Sep 1999 A
5957882 Nita et al. Sep 1999 A
5957943 Vaitekunas Sep 1999 A
5968007 Simon et al. Oct 1999 A
5968060 Kellogg Oct 1999 A
5974342 Petrofsky Oct 1999 A
D416089 Barton et al. Nov 1999 S
5980510 Tsonton et al. Nov 1999 A
5980546 Hood Nov 1999 A
5984938 Yoon Nov 1999 A
5987344 West Nov 1999 A
5989274 Davison et al. Nov 1999 A
5989275 Estabrook et al. Nov 1999 A
5993465 Shipp et al. Nov 1999 A
5993972 Reich et al. Nov 1999 A
5994855 Lundell et al. Nov 1999 A
6003517 Sheffield et al. Dec 1999 A
6004335 Vaitekunas et al. Dec 1999 A
6013052 Durman et al. Jan 2000 A
6024741 Williamson, IV et al. Feb 2000 A
6024744 Kese et al. Feb 2000 A
6024750 Mastri et al. Feb 2000 A
6027515 Cimino Feb 2000 A
6031526 Shipp Feb 2000 A
6033375 Brumbach Mar 2000 A
6033399 Gines Mar 2000 A
6036667 Manna et al. Mar 2000 A
6036707 Spaulding Mar 2000 A
6039734 Goble Mar 2000 A
6048224 Kay Apr 2000 A
6050943 Slayton et al. Apr 2000 A
6050996 Schmaltz et al. Apr 2000 A
6051010 DiMatteo et al. Apr 2000 A
6056735 Okada et al. May 2000 A
6063098 Houser et al. May 2000 A
6066132 Chen et al. May 2000 A
6066151 Miyawaki et al. May 2000 A
6068627 Orszulak et al. May 2000 A
6068629 Haissaguerre et al. May 2000 A
6068647 Witt et al. May 2000 A
6074389 Levine et al. Jun 2000 A
6077285 Boukhny Jun 2000 A
6080149 Huang et al. Jun 2000 A
6083191 Rose Jul 2000 A
6086584 Miller Jul 2000 A
6090120 Wright et al. Jul 2000 A
6091995 Ingle et al. Jul 2000 A
6096033 Tu et al. Aug 2000 A
6099483 Palmer et al. Aug 2000 A
6099542 Cohn et al. Aug 2000 A
6099550 Yoon Aug 2000 A
6109500 Alli et al. Aug 2000 A
6110127 Suzuki Aug 2000 A
6113594 Savage Sep 2000 A
6113598 Baker Sep 2000 A
6117152 Huitema Sep 2000 A
H1904 Yates et al. Oct 2000 H
6126629 Perkins Oct 2000 A
6126658 Baker Oct 2000 A
6129735 Okada et al. Oct 2000 A
6129740 Michelson Oct 2000 A
6132368 Cooper Oct 2000 A
6132427 Jones et al. Oct 2000 A
6132429 Baker Oct 2000 A
6132448 Perez et al. Oct 2000 A
6139320 Hahn Oct 2000 A
6139561 Shibata et al. Oct 2000 A
6142615 Qiu et al. Nov 2000 A
6142994 Swanson et al. Nov 2000 A
6144402 Norsworthy et al. Nov 2000 A
6147560 Erhage et al. Nov 2000 A
6152902 Christian et al. Nov 2000 A
6152923 Ryan Nov 2000 A
6154198 Rosenberg Nov 2000 A
6156029 Mueller Dec 2000 A
6159160 Hsei et al. Dec 2000 A
6159175 Strukel et al. Dec 2000 A
6162194 Shipp Dec 2000 A
6162208 Hipps Dec 2000 A
6165150 Banko Dec 2000 A
6174309 Wrublewski et al. Jan 2001 B1
6174310 Kirwan, Jr. Jan 2001 B1
6176857 Ashley Jan 2001 B1
6179853 Sachse et al. Jan 2001 B1
6183426 Akisada et al. Feb 2001 B1
6187003 Buysse et al. Feb 2001 B1
6190386 Rydell Feb 2001 B1
6193709 Miyawaki et al. Feb 2001 B1
6204592 Hur Mar 2001 B1
6205383 Hermann Mar 2001 B1
6205855 Pfeiffer Mar 2001 B1
6206844 Reichel et al. Mar 2001 B1
6206876 Levine et al. Mar 2001 B1
6210337 Dunham et al. Apr 2001 B1
6210402 Olsen et al. Apr 2001 B1
6210403 Klicek Apr 2001 B1
6214023 Whipple et al. Apr 2001 B1
6228080 Gines May 2001 B1
6231565 Tovey et al. May 2001 B1
6232899 Craven May 2001 B1
6233476 Strommer et al. May 2001 B1
6238366 Savage et al. May 2001 B1
6238384 Peer May 2001 B1
6241724 Fleischman et al. Jun 2001 B1
6245065 Panescu et al. Jun 2001 B1
6251110 Wampler Jun 2001 B1
6252110 Uemura et al. Jun 2001 B1
D444365 Bass et al. Jul 2001 S
D445092 Lee Jul 2001 S
D445764 Lee Jul 2001 S
6254623 Haibel, Jr. et al. Jul 2001 B1
6257241 Wampler Jul 2001 B1
6258034 Hanafy Jul 2001 B1
6259230 Chou Jul 2001 B1
6267761 Ryan Jul 2001 B1
6270831 Kumar et al. Aug 2001 B2
6273852 Lehe et al. Aug 2001 B1
6274963 Estabrook et al. Aug 2001 B1
6277115 Saadat Aug 2001 B1
6277117 Tetzlaff et al. Aug 2001 B1
6278218 Madan et al. Aug 2001 B1
6280407 Manna et al. Aug 2001 B1
6283981 Beaupre Sep 2001 B1
6287344 Wampler et al. Sep 2001 B1
6290575 Shipp Sep 2001 B1
6292700 Morrison et al. Sep 2001 B1
6299591 Banko Oct 2001 B1
6306131 Hareyama et al. Oct 2001 B1
6306157 Shchervinsky Oct 2001 B1
6309400 Beaupre Oct 2001 B2
6311783 Harpell Nov 2001 B1
6319221 Savage et al. Nov 2001 B1
6325795 Lindemann et al. Dec 2001 B1
6325799 Goble Dec 2001 B1
6325811 Messerly Dec 2001 B1
6328751 Beaupre Dec 2001 B1
6332891 Himes Dec 2001 B1
6338657 Harper et al. Jan 2002 B1
6340352 Okada et al. Jan 2002 B1
6340878 Oglesbee Jan 2002 B1
6350269 Shipp et al. Feb 2002 B1
6352532 Kramer et al. Mar 2002 B1
6356224 Wohlfarth Mar 2002 B1
6358246 Behl et al. Mar 2002 B1
6358264 Banko Mar 2002 B2
6364888 Niemeyer et al. Apr 2002 B1
6379320 Lafon et al. Apr 2002 B1
D457958 Dycus et al. May 2002 S
6383194 Pothula May 2002 B1
6384690 Wilhelmsson et al. May 2002 B1
6387094 Eitenmuller May 2002 B1
6387109 Davison et al. May 2002 B1
6388657 Natoli May 2002 B1
6390973 Ouchi May 2002 B1
6391026 Hung et al. May 2002 B1
6391042 Cimino May 2002 B1
6398779 Buysse et al. Jun 2002 B1
6402743 Orszulak et al. Jun 2002 B1
6402748 Schoenman et al. Jun 2002 B1
6405184 Bohme et al. Jun 2002 B1
6405733 Fogarty et al. Jun 2002 B1
6409722 Hoey et al. Jun 2002 B1
H2037 Yates et al. Jul 2002 H
6416469 Phung et al. Jul 2002 B1
6416486 Wampler Jul 2002 B1
6419675 Gallo, Sr. Jul 2002 B1
6423073 Bowman Jul 2002 B2
6423082 Houser et al. Jul 2002 B1
6425906 Young et al. Jul 2002 B1
6428538 Blewett et al. Aug 2002 B1
6428539 Baxter et al. Aug 2002 B1
6430446 Knowlton Aug 2002 B1
6432118 Messerly Aug 2002 B1
6436114 Novak et al. Aug 2002 B1
6436115 Beaupre Aug 2002 B1
6440062 Ouchi Aug 2002 B1
6443968 Holthaus et al. Sep 2002 B1
6443969 Novak et al. Sep 2002 B1
6449006 Shipp Sep 2002 B1
6454781 Witt et al. Sep 2002 B1
6454782 Schwemberger Sep 2002 B1
6458128 Schulze Oct 2002 B1
6458130 Frazier et al. Oct 2002 B1
6458142 Faller et al. Oct 2002 B1
6459363 Walker et al. Oct 2002 B1
6461363 Gadberry et al. Oct 2002 B1
6464689 Qin et al. Oct 2002 B1
6464702 Schulze et al. Oct 2002 B2
6468270 Hovda et al. Oct 2002 B1
6475211 Chess et al. Nov 2002 B2
6475215 Tanrisever Nov 2002 B1
6480796 Wiener Nov 2002 B2
6485490 Wampler et al. Nov 2002 B2
6491690 Goble et al. Dec 2002 B1
6491701 Tierney et al. Dec 2002 B2
6491708 Madan et al. Dec 2002 B2
6497715 Satou Dec 2002 B2
6500112 Khouri Dec 2002 B1
6500176 Truckai et al. Dec 2002 B1
6500188 Harper et al. Dec 2002 B2
6500312 Wedekamp Dec 2002 B2
6503248 Levine Jan 2003 B1
6506208 Hunt et al. Jan 2003 B2
6511478 Burnside et al. Jan 2003 B1
6511480 Tetzlaff et al. Jan 2003 B1
6511493 Moutafis et al. Jan 2003 B1
6514252 Nezhat et al. Feb 2003 B2
6514267 Jewett Feb 2003 B2
6517565 Whitman et al. Feb 2003 B1
6524251 Rabiner et al. Feb 2003 B2
6524316 Nicholson et al. Feb 2003 B1
6527736 Attinger et al. Mar 2003 B1
6531846 Smith Mar 2003 B1
6533784 Truckai et al. Mar 2003 B2
6537272 Christopherson et al. Mar 2003 B2
6537291 Friedman et al. Mar 2003 B2
6543452 Lavigne Apr 2003 B1
6543456 Freeman Apr 2003 B1
6544260 Markel et al. Apr 2003 B1
6551309 LePivert Apr 2003 B1
6554829 Schulze et al. Apr 2003 B2
6558376 Bishop May 2003 B2
6558380 Lingenfelder et al. May 2003 B2
6561983 Cronin et al. May 2003 B2
6562035 Levin May 2003 B1
6562037 Paton et al. May 2003 B2
6565558 Lindenmeier et al. May 2003 B1
6572563 Ouchi Jun 2003 B2
6572632 Zisterer et al. Jun 2003 B2
6572639 Ingle et al. Jun 2003 B1
6575969 Rittman, III et al. Jun 2003 B1
6582427 Goble et al. Jun 2003 B1
6582451 Marucci et al. Jun 2003 B1
6584360 Francischelli et al. Jun 2003 B2
D477408 Bromley Jul 2003 S
6585735 Frazier et al. Jul 2003 B1
6588277 Giordano et al. Jul 2003 B2
6589200 Schwemberger et al. Jul 2003 B1
6589239 Khandkar et al. Jul 2003 B2
6590733 Wilson et al. Jul 2003 B1
6599288 Maguire et al. Jul 2003 B2
6602252 Mollenauer Aug 2003 B2
6602262 Griego et al. Aug 2003 B2
6607540 Shipp Aug 2003 B1
6610059 West, Jr. Aug 2003 B1
6610060 Mulier et al. Aug 2003 B2
6611793 Burnside et al. Aug 2003 B1
6616450 Mossle et al. Sep 2003 B2
6619529 Green et al. Sep 2003 B2
6620161 Schulze et al. Sep 2003 B2
6622731 Daniel et al. Sep 2003 B2
6623482 Pendekanti et al. Sep 2003 B2
6623500 Cook et al. Sep 2003 B1
6623501 Heller et al. Sep 2003 B2
6626848 Neuenfeldt Sep 2003 B2
6626926 Friedman et al. Sep 2003 B2
6629974 Penny et al. Oct 2003 B2
6632221 Edwards et al. Oct 2003 B1
6633234 Wiener et al. Oct 2003 B2
6635057 Harano et al. Oct 2003 B2
6644532 Green et al. Nov 2003 B2
6651669 Burnside Nov 2003 B1
6652513 Panescu et al. Nov 2003 B2
6652539 Shipp et al. Nov 2003 B2
6652545 Shipp et al. Nov 2003 B2
6656132 Ouchi Dec 2003 B1
6656177 Truckai et al. Dec 2003 B2
6656198 Tsonton et al. Dec 2003 B2
6660017 Beaupre Dec 2003 B2
6662127 Wiener et al. Dec 2003 B2
6663941 Brown et al. Dec 2003 B2
6666860 Takahashi Dec 2003 B1
6666875 Sakurai et al. Dec 2003 B1
6669690 Okada et al. Dec 2003 B1
6669710 Moutafis et al. Dec 2003 B2
6673248 Chowdhury Jan 2004 B2
6676660 Wampler et al. Jan 2004 B2
6678621 Wiener et al. Jan 2004 B2
6679875 Honda et al. Jan 2004 B2
6679882 Kornerup Jan 2004 B1
6679899 Wiener et al. Jan 2004 B2
6682501 Nelson et al. Jan 2004 B1
6682544 Mastri et al. Jan 2004 B2
6685700 Behl et al. Feb 2004 B2
6685701 Orszulak et al. Feb 2004 B2
6685703 Pearson et al. Feb 2004 B2
6689145 Lee et al. Feb 2004 B2
6689146 Himes Feb 2004 B1
6690960 Chen et al. Feb 2004 B2
6695840 Schulze Feb 2004 B2
6702821 Bonutti Mar 2004 B2
6716215 David et al. Apr 2004 B1
6719692 Kleffner et al. Apr 2004 B2
6719765 Bonutti Apr 2004 B2
6719776 Baxter et al. Apr 2004 B2
6722552 Fenton, Jr. Apr 2004 B2
6723091 Goble et al. Apr 2004 B2
D490059 Conway et al. May 2004 S
6730080 Harano et al. May 2004 B2
6731047 Kauf et al. May 2004 B2
6733498 Paton et al. May 2004 B2
6733506 McDevitt et al. May 2004 B1
6736813 Yamauchi et al. May 2004 B2
6739872 Turri May 2004 B1
6740079 Eggers et al. May 2004 B1
D491666 Kimmell et al. Jun 2004 S
6743245 Lobdell Jun 2004 B2
6746284 Spink, Jr. Jun 2004 B1
6746443 Morley et al. Jun 2004 B1
6752815 Beaupre Jun 2004 B2
6755825 Shoenman et al. Jun 2004 B2
6761698 Shibata et al. Jul 2004 B2
6762535 Take et al. Jul 2004 B2
6766202 Underwood et al. Jul 2004 B2
6770072 Truckai et al. Aug 2004 B1
6773409 Truckai et al. Aug 2004 B2
6773434 Ciarrocca Aug 2004 B2
6773435 Schulze et al. Aug 2004 B2
6773443 Truwit et al. Aug 2004 B2
6773444 Messerly Aug 2004 B2
6775575 Bommannan et al. Aug 2004 B2
6778023 Christensen Aug 2004 B2
6783524 Anderson et al. Aug 2004 B2
6786382 Hoffman Sep 2004 B1
6786383 Stegelmann Sep 2004 B2
6789939 Schrodinger et al. Sep 2004 B2
6790173 Saadat et al. Sep 2004 B2
6790216 Ishikawa Sep 2004 B1
6794027 Araki et al. Sep 2004 B1
6796981 Wham et al. Sep 2004 B2
D496997 Dycus et al. Oct 2004 S
6800085 Selmon et al. Oct 2004 B2
6802843 Truckai et al. Oct 2004 B2
6808525 Latterell et al. Oct 2004 B2
6809508 Donofrio Oct 2004 B2
6810281 Brock et al. Oct 2004 B2
6811842 Ehrnsperger et al. Nov 2004 B1
6814731 Swanson Nov 2004 B2
6819027 Saraf Nov 2004 B2
6821273 Mollenauer Nov 2004 B2
6827712 Tovey et al. Dec 2004 B2
6828712 Battaglin et al. Dec 2004 B2
6835082 Gonnering Dec 2004 B2
6835199 McGuckin, Jr. et al. Dec 2004 B2
6840938 Morley et al. Jan 2005 B1
6843789 Goble Jan 2005 B2
6849073 Hoey et al. Feb 2005 B2
6860878 Brock Mar 2005 B2
6860880 Treat et al. Mar 2005 B2
6863676 Lee et al. Mar 2005 B2
6866671 Tierney et al. Mar 2005 B2
6869439 White et al. Mar 2005 B2
6875220 Du et al. Apr 2005 B2
6877647 Green et al. Apr 2005 B2
6882439 Ishijima Apr 2005 B2
6887209 Kadziauskas et al. May 2005 B2
6887252 Okada et al. May 2005 B1
6893435 Goble May 2005 B2
6898536 Wiener et al. May 2005 B2
6899685 Kermode et al. May 2005 B2
6905497 Truckai et al. Jun 2005 B2
6908463 Treat et al. Jun 2005 B2
6908472 Wiener et al. Jun 2005 B2
6913579 Truckai et al. Jul 2005 B2
6915623 Dey et al. Jul 2005 B2
6923804 Eggers et al. Aug 2005 B2
6923806 Hooven et al. Aug 2005 B2
6926712 Phan Aug 2005 B2
6926716 Baker et al. Aug 2005 B2
6926717 Garito et al. Aug 2005 B1
6929602 Hirakui et al. Aug 2005 B2
6929622 Chian Aug 2005 B2
6929632 Nita et al. Aug 2005 B2
6929644 Truckai et al. Aug 2005 B2
6933656 Matsushita et al. Aug 2005 B2
D509589 Wells Sep 2005 S
6942660 Pantera et al. Sep 2005 B2
6942677 Nita et al. Sep 2005 B2
6945981 Donofrio et al. Sep 2005 B2
6946779 Birgel Sep 2005 B2
6948503 Refior et al. Sep 2005 B2
6953461 McClurken et al. Oct 2005 B2
6958070 Witt et al. Oct 2005 B2
D511145 Donofrio et al. Nov 2005 S
6974450 Weber et al. Dec 2005 B2
6976844 Hickok et al. Dec 2005 B2
6976969 Messerly Dec 2005 B2
6977495 Donofrio Dec 2005 B2
6979332 Adams Dec 2005 B2
6981628 Wales Jan 2006 B2
6984220 Wuchinich Jan 2006 B2
6984231 Goble et al. Jan 2006 B2
6988295 Tillim Jan 2006 B2
6988649 Shelton, IV et al. Jan 2006 B2
6994708 Manzo Feb 2006 B2
6994709 Iida Feb 2006 B2
7000818 Shelton, IV et al. Feb 2006 B2
7001335 Adachi et al. Feb 2006 B2
7001379 Behl et al. Feb 2006 B2
7001382 Gallo, Sr. Feb 2006 B2
7004951 Gibbens, III Feb 2006 B2
7011657 Truckai et al. Mar 2006 B2
7014638 Michelson Mar 2006 B2
7018389 Camerlengo Mar 2006 B2
7025732 Thompson et al. Apr 2006 B2
7033356 Latterell et al. Apr 2006 B2
7033357 Baxter et al. Apr 2006 B2
7037306 Podany et al. May 2006 B2
7041083 Chu et al. May 2006 B2
7041088 Nawrocki et al. May 2006 B2
7041102 Truckai et al. May 2006 B2
7044949 Orszulak et al. May 2006 B2
7052494 Goble et al. May 2006 B2
7052496 Yamauchi May 2006 B2
7055731 Shelton, IV et al. Jun 2006 B2
7063699 Hess et al. Jun 2006 B2
7066893 Hibner et al. Jun 2006 B2
7066895 Podany Jun 2006 B2
7066936 Ryan Jun 2006 B2
7070597 Truckai et al. Jul 2006 B2
7074218 Washington et al. Jul 2006 B2
7074219 Levine et al. Jul 2006 B2
7077039 Gass et al. Jul 2006 B2
7077845 Hacker et al. Jul 2006 B2
7077853 Kramer et al. Jul 2006 B2
7083075 Swayze et al. Aug 2006 B2
7083613 Treat Aug 2006 B2
7083618 Couture et al. Aug 2006 B2
7083619 Truckai et al. Aug 2006 B2
7087054 Truckai et al. Aug 2006 B2
7090637 Danitz et al. Aug 2006 B2
7090672 Underwood et al. Aug 2006 B2
7094235 Francischelli Aug 2006 B2
7101371 Dycus et al. Sep 2006 B2
7101372 Dycus et al. Sep 2006 B2
7101373 Dycus et al. Sep 2006 B2
7101378 Salameh et al. Sep 2006 B2
7104834 Robinson et al. Sep 2006 B2
7108695 Witt et al. Sep 2006 B2
7111769 Wales et al. Sep 2006 B2
7112201 Truckai et al. Sep 2006 B2
7113831 Hooven Sep 2006 B2
D531311 Guerra et al. Oct 2006 S
7117034 Kronberg Oct 2006 B2
7118564 Ritchie et al. Oct 2006 B2
7118570 Tetzlaff et al. Oct 2006 B2
7118587 Dycus et al. Oct 2006 B2
7119516 Denning Oct 2006 B2
7124932 Isaacson et al. Oct 2006 B2
7125409 Truckai et al. Oct 2006 B2
7128720 Podany Oct 2006 B2
7131860 Sartor et al. Nov 2006 B2
7131970 Moses et al. Nov 2006 B2
7135018 Ryan et al. Nov 2006 B2
7135030 Schwemberger et al. Nov 2006 B2
7137980 Buysse et al. Nov 2006 B2
7143925 Shelton, IV et al. Dec 2006 B2
7144403 Booth Dec 2006 B2
7147138 Shelton, IV Dec 2006 B2
7153315 Miller Dec 2006 B2
D536093 Nakajima et al. Jan 2007 S
7156189 Bar-Cohen et al. Jan 2007 B1
7156846 Dycus et al. Jan 2007 B2
7156853 Ratsu Jan 2007 B2
7157058 Marhasin et al. Jan 2007 B2
7159750 Racenet et al. Jan 2007 B2
7160259 Tardy et al. Jan 2007 B2
7160296 Pearson et al. Jan 2007 B2
7160298 Lawes et al. Jan 2007 B2
7160299 Baily Jan 2007 B2
7163548 Stulen et al. Jan 2007 B2
7166103 Carmel et al. Jan 2007 B2
7169144 Hoey et al. Jan 2007 B2
7169146 Truckai et al. Jan 2007 B2
7169156 Hart Jan 2007 B2
7179254 Pendekanti et al. Feb 2007 B2
7179271 Friedman et al. Feb 2007 B2
7186253 Truckai et al. Mar 2007 B2
7189233 Truckai et al. Mar 2007 B2
7195631 Dumbauld Mar 2007 B2
D541418 Schechter et al. Apr 2007 S
7198635 Danek et al. Apr 2007 B2
7204820 Akahoshi Apr 2007 B2
7207471 Heinrich et al. Apr 2007 B2
7207997 Shipp et al. Apr 2007 B2
7208005 Frecker et al. Apr 2007 B2
7210881 Greenberg May 2007 B2
7211079 Treat May 2007 B2
7217128 Atkin et al. May 2007 B2
7217269 El-Galley et al. May 2007 B2
7220951 Truckai et al. May 2007 B2
7223229 Inman et al. May 2007 B2
7225964 Mastri et al. Jun 2007 B2
7226447 Uchida et al. Jun 2007 B2
7226448 Bertolero et al. Jun 2007 B2
7229455 Sakurai et al. Jun 2007 B2
7232440 Dumbauld et al. Jun 2007 B2
7235071 Gonnering Jun 2007 B2
7235073 Levine et al. Jun 2007 B2
7241294 Reschke Jul 2007 B2
7244262 Wiener et al. Jul 2007 B2
7251531 Mosher et al. Jul 2007 B2
7252641 Thompson et al. Aug 2007 B2
7252667 Moses et al. Aug 2007 B2
7258688 Shah et al. Aug 2007 B1
7264618 Murakami et al. Sep 2007 B2
7267677 Johnson et al. Sep 2007 B2
7267685 Butaric et al. Sep 2007 B2
7269873 Brewer et al. Sep 2007 B2
7273483 Wiener et al. Sep 2007 B2
D552241 Bromley et al. Oct 2007 S
7282048 Goble et al. Oct 2007 B2
7285895 Beaupre Oct 2007 B2
7287682 Ezzat et al. Oct 2007 B1
7297149 Vitali et al. Nov 2007 B2
7300431 Dubrovsky Nov 2007 B2
7300435 Wham et al. Nov 2007 B2
7300446 Beaupre Nov 2007 B2
7300450 Vleugels et al. Nov 2007 B2
7303531 Lee et al. Dec 2007 B2
7303557 Wham et al. Dec 2007 B2
7306597 Manzo Dec 2007 B2
7307313 Ohyanagi et al. Dec 2007 B2
7309849 Truckai et al. Dec 2007 B2
7311706 Schoenman et al. Dec 2007 B2
7311709 Truckai et al. Dec 2007 B2
7317955 McGreevy Jan 2008 B2
7318831 Alvarez et al. Jan 2008 B2
7318832 Young et al. Jan 2008 B2
7326236 Andreas et al. Feb 2008 B2
7329257 Kanehira et al. Feb 2008 B2
7331410 Yong et al. Feb 2008 B2
7335165 Truwit et al. Feb 2008 B2
7335997 Wiener Feb 2008 B2
7337010 Howard et al. Feb 2008 B2
7353068 Tanaka et al. Apr 2008 B2
7354440 Truckai et al. Apr 2008 B2
7357287 Shelton, IV et al. Apr 2008 B2
7357802 Palanker et al. Apr 2008 B2
7361172 Cimino Apr 2008 B2
7364577 Wham et al. Apr 2008 B2
7367976 Lawes et al. May 2008 B2
7371227 Zeiner May 2008 B2
RE40388 Gines Jun 2008 E
7380695 Doll et al. Jun 2008 B2
7380696 Shelton, IV et al. Jun 2008 B2
7381209 Truckai et al. Jun 2008 B2
7384420 Dycus et al. Jun 2008 B2
7390317 Taylor et al. Jun 2008 B2
7396356 Mollenauer Jul 2008 B2
7403224 Fuller et al. Jul 2008 B2
7404508 Smith et al. Jul 2008 B2
7407077 Ortiz et al. Aug 2008 B2
7408288 Hara Aug 2008 B2
7412008 Lliev Aug 2008 B2
7416101 Shelton, IV et al. Aug 2008 B2
7416437 Sartor et al. Aug 2008 B2
D576725 Shumer et al. Sep 2008 S
7419490 Falkenstein et al. Sep 2008 B2
7422139 Shelton, IV et al. Sep 2008 B2
7422463 Kuo Sep 2008 B2
7422582 Malackowski et al. Sep 2008 B2
D578643 Shumer et al. Oct 2008 S
D578644 Shumer et al. Oct 2008 S
D578645 Shumer et al. Oct 2008 S
7431694 Stefanchik et al. Oct 2008 B2
7431704 Babaev Oct 2008 B2
7431720 Pendekanti et al. Oct 2008 B2
7435582 Zimmermann et al. Oct 2008 B2
7441684 Shelton, IV et al. Oct 2008 B2
7442193 Shields et al. Oct 2008 B2
7445621 Dumbauld et al. Nov 2008 B2
7449004 Yamada et al. Nov 2008 B2
7451904 Shelton, IV Nov 2008 B2
7455208 Wales et al. Nov 2008 B2
7455641 Yamada et al. Nov 2008 B2
7462181 Kraft et al. Dec 2008 B2
7464846 Shelton, IV et al. Dec 2008 B2
7464849 Shelton, IV et al. Dec 2008 B2
7472815 Shelton, IV et al. Jan 2009 B2
7473145 Ehr et al. Jan 2009 B2
7473253 Dycus et al. Jan 2009 B2
7473263 Johnston et al. Jan 2009 B2
7479148 Beaupre Jan 2009 B2
7479160 Branch et al. Jan 2009 B2
7481775 Weikel, Jr. et al. Jan 2009 B2
7488285 Honda et al. Feb 2009 B2
7488319 Yates Feb 2009 B2
7491201 Shields et al. Feb 2009 B2
7491202 Odom et al. Feb 2009 B2
7494468 Rabiner et al. Feb 2009 B2
7494501 Ahlberg et al. Feb 2009 B2
7498080 Tung et al. Mar 2009 B2
7502234 Goliszek et al. Mar 2009 B2
7503893 Kucklick Mar 2009 B2
7503895 Rabiner et al. Mar 2009 B2
7506790 Shelton, IV Mar 2009 B2
7506791 Omaits et al. Mar 2009 B2
7507239 Shadduck Mar 2009 B2
7510107 Timm et al. Mar 2009 B2
7510556 Nguyen et al. Mar 2009 B2
7513025 Fischer Apr 2009 B2
7517349 Truckai et al. Apr 2009 B2
7520865 Radley Young et al. Apr 2009 B2
7524320 Tierney et al. Apr 2009 B2
7525309 Sherman et al. Apr 2009 B2
7530986 Beaupre et al. May 2009 B2
7534243 Chin et al. May 2009 B1
7535233 Kojovic et al. May 2009 B2
D594983 Price et al. Jun 2009 S
7540871 Gonnering Jun 2009 B2
7540872 Schechter et al. Jun 2009 B2
7543730 Marczyk Jun 2009 B1
7544200 Houser Jun 2009 B2
7549564 Boudreaux Jun 2009 B2
7550216 Ofer et al. Jun 2009 B2
7553309 Buysse et al. Jun 2009 B2
7554343 Bromfield Jun 2009 B2
7559450 Wales et al. Jul 2009 B2
7559452 Wales et al. Jul 2009 B2
7563259 Takahashi Jul 2009 B2
7566318 Haefner Jul 2009 B2
7567012 Namikawa Jul 2009 B2
7568603 Shelton, IV et al. Aug 2009 B2
7569057 Liu et al. Aug 2009 B2
7572266 Young et al. Aug 2009 B2
7572268 Babaev Aug 2009 B2
7578820 Moore et al. Aug 2009 B2
7582084 Swanson et al. Sep 2009 B2
7582086 Privitera et al. Sep 2009 B2
7582087 Tetzlaff et al. Sep 2009 B2
7582095 Shipp et al. Sep 2009 B2
7585181 Olsen Sep 2009 B2
7586289 Andruk et al. Sep 2009 B2
7587536 McLeod Sep 2009 B2
7588176 Timm et al. Sep 2009 B2
7588177 Racenet Sep 2009 B2
7594925 Danek et al. Sep 2009 B2
7597693 Garrison Oct 2009 B2
7601119 Shahinian Oct 2009 B2
7601136 Akahoshi Oct 2009 B2
7604150 Boudreaux Oct 2009 B2
7607557 Shelton, IV et al. Oct 2009 B2
7617961 Viola Nov 2009 B2
7621930 Houser Nov 2009 B2
7625370 Hart et al. Dec 2009 B2
7628791 Garrison et al. Dec 2009 B2
7628792 Guerra Dec 2009 B2
7632267 Dahla Dec 2009 B2
7632269 Truckai et al. Dec 2009 B2
7637410 Marczyk Dec 2009 B2
7641653 Dalla Betta et al. Jan 2010 B2
7641671 Crainich Jan 2010 B2
7644848 Swayze et al. Jan 2010 B2
7645240 Thompson et al. Jan 2010 B2
7645277 McClurken et al. Jan 2010 B2
7645278 Ichihashi et al. Jan 2010 B2
7648499 Orszulak et al. Jan 2010 B2
7649410 Andersen et al. Jan 2010 B2
7654431 Hueil et al. Feb 2010 B2
7655003 Lorang et al. Feb 2010 B2
7658311 Boudreaux Feb 2010 B2
7659833 Warner et al. Feb 2010 B2
7662151 Crompton, Jr. et al. Feb 2010 B2
7665647 Shelton, IV et al. Feb 2010 B2
7666206 Taniguchi et al. Feb 2010 B2
7667592 Ohyama et al. Feb 2010 B2
7670334 Hueil et al. Mar 2010 B2
7670338 Albrecht et al. Mar 2010 B2
7674263 Ryan Mar 2010 B2
7678069 Baker et al. Mar 2010 B1
7678105 McGreevy et al. Mar 2010 B2
7678125 Shipp Mar 2010 B2
7682366 Sakurai et al. Mar 2010 B2
7686770 Cohen Mar 2010 B2
7686826 Lee et al. Mar 2010 B2
7688028 Phillips et al. Mar 2010 B2
7691095 Bednarek et al. Apr 2010 B2
7691098 Wallace et al. Apr 2010 B2
7696441 Kataoka Apr 2010 B2
7699846 Ryan Apr 2010 B2
7703459 Saadat et al. Apr 2010 B2
7703653 Shah et al. Apr 2010 B2
7708735 Chapman et al. May 2010 B2
7708751 Hughes et al. May 2010 B2
7708758 Lee et al. May 2010 B2
7708768 Danek et al. May 2010 B2
7713202 Boukhny et al. May 2010 B2
7713267 Pozzato May 2010 B2
7714481 Sakai May 2010 B2
7717312 Beetel May 2010 B2
7717914 Kimura May 2010 B2
7717915 Miyazawa May 2010 B2
7721935 Racenet et al. May 2010 B2
7722527 Bouchier et al. May 2010 B2
7722607 Dumbauld et al. May 2010 B2
D618797 Price et al. Jun 2010 S
7726537 Olson et al. Jun 2010 B2
7727177 Bayat Jun 2010 B2
7731717 Odom et al. Jun 2010 B2
7738969 Bleich Jun 2010 B2
7740594 Hibner Jun 2010 B2
7744615 Couture Jun 2010 B2
7749240 Takahashi et al. Jul 2010 B2
7751115 Song Jul 2010 B2
7753245 Boudreaux et al. Jul 2010 B2
7753904 Shelton, IV et al. Jul 2010 B2
7753908 Swanson Jul 2010 B2
7762445 Heinrich et al. Jul 2010 B2
D621503 Otten et al. Aug 2010 S
7766210 Shelton, IV et al. Aug 2010 B2
7766693 Sartor et al. Aug 2010 B2
7766910 Hixson et al. Aug 2010 B2
7768510 Tsai et al. Aug 2010 B2
7770774 Mastri et al. Aug 2010 B2
7770775 Shelton, IV et al. Aug 2010 B2
7771425 Dycus et al. Aug 2010 B2
7771444 Patel et al. Aug 2010 B2
7775972 Brock et al. Aug 2010 B2
7776036 Schechter et al. Aug 2010 B2
7776037 Odom Aug 2010 B2
7778733 Nowlin et al. Aug 2010 B2
7780054 Wales Aug 2010 B2
7780593 Ueno et al. Aug 2010 B2
7780651 Madhani et al. Aug 2010 B2
7780659 Okada et al. Aug 2010 B2
7780663 Yates et al. Aug 2010 B2
7784662 Wales et al. Aug 2010 B2
7784663 Shelton, IV Aug 2010 B2
7789883 Takashino et al. Sep 2010 B2
7793814 Racenet et al. Sep 2010 B2
7794475 Hess et al. Sep 2010 B2
7796969 Kelly et al. Sep 2010 B2
7798386 Schall et al. Sep 2010 B2
7799020 Shores et al. Sep 2010 B2
7799027 Hafner Sep 2010 B2
7799045 Masuda Sep 2010 B2
7803151 Whitman Sep 2010 B2
7803152 Honda et al. Sep 2010 B2
7803156 Eder et al. Sep 2010 B2
7803168 Gifford et al. Sep 2010 B2
7806891 Nowlin et al. Oct 2010 B2
7810693 Broehl et al. Oct 2010 B2
7811283 Moses et al. Oct 2010 B2
7815238 Cao Oct 2010 B2
7815641 Dodde et al. Oct 2010 B2
7819298 Hall et al. Oct 2010 B2
7819299 Shelton, IV et al. Oct 2010 B2
7819819 Quick et al. Oct 2010 B2
7819872 Johnson et al. Oct 2010 B2
7821143 Wiener Oct 2010 B2
D627066 Romero Nov 2010 S
7824401 Manzo et al. Nov 2010 B2
7832408 Shelton, IV et al. Nov 2010 B2
7832611 Boyden et al. Nov 2010 B2
7832612 Baxter, III et al. Nov 2010 B2
7834484 Sartor Nov 2010 B2
7837699 Yamada et al. Nov 2010 B2
7845537 Shelton, IV et al. Dec 2010 B2
7846155 Houser et al. Dec 2010 B2
7846159 Morrison et al. Dec 2010 B2
7846160 Payne et al. Dec 2010 B2
7846161 Dumbauld et al. Dec 2010 B2
7854735 Houser et al. Dec 2010 B2
D631155 Peine et al. Jan 2011 S
7861906 Doll et al. Jan 2011 B2
7862560 Marion Jan 2011 B2
7862561 Swanson et al. Jan 2011 B2
7867228 Nobis et al. Jan 2011 B2
7871392 Sartor Jan 2011 B2
7871423 Livneh Jan 2011 B2
7876030 Taki et al. Jan 2011 B2
D631965 Price et al. Feb 2011 S
7877852 Unger et al. Feb 2011 B2
7878991 Babaev Feb 2011 B2
7879029 Jimenez Feb 2011 B2
7879033 Sartor et al. Feb 2011 B2
7879035 Garrison et al. Feb 2011 B2
7879070 Ortiz et al. Feb 2011 B2
7883475 Dupont et al. Feb 2011 B2
7892606 Thies et al. Feb 2011 B2
7896875 Heim et al. Mar 2011 B2
7897792 Iikura et al. Mar 2011 B2
7901400 Wham et al. Mar 2011 B2
7901423 Stulen et al. Mar 2011 B2
7905881 Masuda et al. Mar 2011 B2
7909220 Viola Mar 2011 B2
7909820 Lipson et al. Mar 2011 B2
7909824 Masuda et al. Mar 2011 B2
7918848 Lau et al. Apr 2011 B2
7919184 Mohapatra et al. Apr 2011 B2
7922061 Shelton, IV et al. Apr 2011 B2
7922651 Yamada et al. Apr 2011 B2
7931611 Novak et al. Apr 2011 B2
7931649 Couture et al. Apr 2011 B2
D637288 Houghton May 2011 S
D638540 Ijiri et al. May 2011 S
7935114 Takashino et al. May 2011 B2
7936203 Zimlich May 2011 B2
7951095 Makin et al. May 2011 B2
7951165 Golden et al. May 2011 B2
7954682 Giordano et al. Jun 2011 B2
7955331 Truckai et al. Jun 2011 B2
7956620 Gilbert Jun 2011 B2
7959050 Smith et al. Jun 2011 B2
7959626 Hong et al. Jun 2011 B2
7963963 Francischelli et al. Jun 2011 B2
7967602 Lindquist Jun 2011 B2
7972328 Wham et al. Jul 2011 B2
7972329 Refior et al. Jul 2011 B2
7975895 Milliman Jul 2011 B2
7976544 McClurken et al. Jul 2011 B2
7980443 Scheib et al. Jul 2011 B2
7981050 Ritchart et al. Jul 2011 B2
7981113 Truckai et al. Jul 2011 B2
7997278 Utley et al. Aug 2011 B2
7998157 Culp et al. Aug 2011 B2
8002732 Visconti Aug 2011 B2
8002770 Swanson et al. Aug 2011 B2
8020743 Shelton, IV Sep 2011 B2
8025672 Novak et al. Sep 2011 B2
8028885 Smith et al. Oct 2011 B2
8033173 Ehlert et al. Oct 2011 B2
8034049 Odom et al. Oct 2011 B2
8038693 Allen Oct 2011 B2
8048070 O'Brien et al. Nov 2011 B2
8048074 Masuda Nov 2011 B2
8052672 Laufer et al. Nov 2011 B2
8055208 Lilia et al. Nov 2011 B2
8056720 Hawkes Nov 2011 B2
8056787 Boudreaux et al. Nov 2011 B2
8057468 Esky Nov 2011 B2
8057498 Robertson Nov 2011 B2
8058771 Giordano et al. Nov 2011 B2
8061014 Smith et al. Nov 2011 B2
8066167 Measamer et al. Nov 2011 B2
8070036 Knodel Dec 2011 B1
8070711 Bassinger et al. Dec 2011 B2
8070762 Escudero et al. Dec 2011 B2
8075555 Truckai et al. Dec 2011 B2
8075558 Truckai et al. Dec 2011 B2
8089197 Rinner et al. Jan 2012 B2
8092475 Cotter et al. Jan 2012 B2
8096459 Ortiz et al. Jan 2012 B2
8097012 Kagarise Jan 2012 B2
8100894 Mucko et al. Jan 2012 B2
8105230 Honda et al. Jan 2012 B2
8105323 Buysse et al. Jan 2012 B2
8105324 Palanker et al. Jan 2012 B2
8114104 Young et al. Feb 2012 B2
8118276 Sanders et al. Feb 2012 B2
8128624 Couture et al. Mar 2012 B2
8133218 Daw et al. Mar 2012 B2
8136712 Zingman Mar 2012 B2
8141762 Bedi et al. Mar 2012 B2
8142421 Cooper et al. Mar 2012 B2
8142461 Houser et al. Mar 2012 B2
8147485 Wham et al. Apr 2012 B2
8147488 Masuda Apr 2012 B2
8147508 Madan et al. Apr 2012 B2
8152801 Goldberg et al. Apr 2012 B2
8152825 Madan et al. Apr 2012 B2
8157145 Shelton, IV et al. Apr 2012 B2
8161977 Shelton, IV et al. Apr 2012 B2
8162966 Connor et al. Apr 2012 B2
8170717 Sutherland et al. May 2012 B2
8172846 Brunnett et al. May 2012 B2
8172870 Shipp May 2012 B2
8177800 Spitz et al. May 2012 B2
8182502 Stulen et al. May 2012 B2
8186560 Hess et al. May 2012 B2
8186877 Klimovitch et al. May 2012 B2
8187267 Pappone et al. May 2012 B2
D661801 Price et al. Jun 2012 S
D661802 Price et al. Jun 2012 S
D661803 Price et al. Jun 2012 S
D661804 Price et al. Jun 2012 S
8197472 Lau et al. Jun 2012 B2
8197479 Olson et al. Jun 2012 B2
8197502 Smith et al. Jun 2012 B2
8207651 Gilbert Jun 2012 B2
8210411 Yates et al. Jul 2012 B2
8211100 Podhajsky et al. Jul 2012 B2
8220688 Laurent et al. Jul 2012 B2
8221306 Okada et al. Jul 2012 B2
8221415 Francischelli Jul 2012 B2
8221418 Prakash et al. Jul 2012 B2
8226580 Govari et al. Jul 2012 B2
8226665 Cohen Jul 2012 B2
8226675 Houser et al. Jul 2012 B2
8231607 Takuma Jul 2012 B2
8235917 Joseph et al. Aug 2012 B2
8236018 Yoshimine et al. Aug 2012 B2
8236019 Houser Aug 2012 B2
8236020 Smith et al. Aug 2012 B2
8241235 Kahler et al. Aug 2012 B2
8241271 Millman et al. Aug 2012 B2
8241282 Unger et al. Aug 2012 B2
8241283 Guerra et al. Aug 2012 B2
8241284 Dycus et al. Aug 2012 B2
8241312 Messerly Aug 2012 B2
8246575 Viola Aug 2012 B2
8246615 Behnke Aug 2012 B2
8246616 Amoah et al. Aug 2012 B2
8246618 Bucciaglia et al. Aug 2012 B2
8246642 Houser et al. Aug 2012 B2
8251994 McKenna et al. Aug 2012 B2
8252012 Stulen Aug 2012 B2
8253303 Giordano et al. Aug 2012 B2
8257377 Wiener et al. Sep 2012 B2
8257387 Cunningham Sep 2012 B2
8262563 Bakos et al. Sep 2012 B2
8267300 Boudreaux Sep 2012 B2
8267935 Couture et al. Sep 2012 B2
8273087 Kimura et al. Sep 2012 B2
D669992 Schafer et al. Oct 2012 S
D669993 Merchant et al. Oct 2012 S
8277446 Heard Oct 2012 B2
8277447 Garrison et al. Oct 2012 B2
8277471 Wiener et al. Oct 2012 B2
8282581 Zhao et al. Oct 2012 B2
8282669 Gerber et al. Oct 2012 B2
8286846 Smith et al. Oct 2012 B2
8287485 Kimura et al. Oct 2012 B2
8287528 Wham et al. Oct 2012 B2
8287532 Carroll et al. Oct 2012 B2
8292886 Kerr et al. Oct 2012 B2
8292888 Whitman Oct 2012 B2
8292905 Taylor et al. Oct 2012 B2
8295902 Salahieh et al. Oct 2012 B2
8298223 Wham et al. Oct 2012 B2
8298225 Gilbert Oct 2012 B2
8298232 Unger Oct 2012 B2
8298233 Mueller Oct 2012 B2
8303576 Brock Nov 2012 B2
8303579 Shibata Nov 2012 B2
8303580 Wham et al. Nov 2012 B2
8303583 Hosier et al. Nov 2012 B2
8303613 Crandall et al. Nov 2012 B2
8306629 Mioduski et al. Nov 2012 B2
8308040 Huang et al. Nov 2012 B2
8319400 Houser et al. Nov 2012 B2
8323302 Robertson et al. Dec 2012 B2
8323310 Kingsley Dec 2012 B2
8328061 Kasvikis Dec 2012 B2
8328761 Widenhouse et al. Dec 2012 B2
8328802 Deville et al. Dec 2012 B2
8328833 Cuny Dec 2012 B2
8328834 Isaacs et al. Dec 2012 B2
8333764 Francischelli et al. Dec 2012 B2
8333778 Smith et al. Dec 2012 B2
8333779 Smith et al. Dec 2012 B2
8334468 Palmer et al. Dec 2012 B2
8334635 Voegele et al. Dec 2012 B2
8337407 Quistgaard et al. Dec 2012 B2
8338726 Palmer et al. Dec 2012 B2
8343146 Godara et al. Jan 2013 B2
8344596 Nield et al. Jan 2013 B2
8348880 Messerly et al. Jan 2013 B2
8348947 Takashino et al. Jan 2013 B2
8348967 Stulen Jan 2013 B2
8353297 Dacquay et al. Jan 2013 B2
8357103 Mark et al. Jan 2013 B2
8357144 Whitman et al. Jan 2013 B2
8357149 Govari et al. Jan 2013 B2
8357158 McKenna et al. Jan 2013 B2
8360299 Zemlok et al. Jan 2013 B2
8361066 Long et al. Jan 2013 B2
8361072 Dumbauld et al. Jan 2013 B2
8361569 Saito et al. Jan 2013 B2
8366727 Witt et al. Feb 2013 B2
8372064 Douglass et al. Feb 2013 B2
8372099 Deville et al. Feb 2013 B2
8372101 Smith et al. Feb 2013 B2
8372102 Stulen et al. Feb 2013 B2
8374670 Selkee Feb 2013 B2
8377044 Coe et al. Feb 2013 B2
8377059 Deville et al. Feb 2013 B2
8377085 Smith et al. Feb 2013 B2
8382748 Geisei Feb 2013 B2
8382775 Bender et al. Feb 2013 B1
8382782 Robertson et al. Feb 2013 B2
8382792 Chojin Feb 2013 B2
8388646 Chojin Mar 2013 B2
8388647 Nau, Jr. et al. Mar 2013 B2
8393514 Shelton, IV et al. Mar 2013 B2
8394115 Houser et al. Mar 2013 B2
8397971 Yates et al. Mar 2013 B2
8398394 Sauter et al. Mar 2013 B2
8398674 Prestel Mar 2013 B2
8403926 Nobis et al. Mar 2013 B2
8403945 Whitfield et al. Mar 2013 B2
8403948 Deville et al. Mar 2013 B2
8403949 Palmer et al. Mar 2013 B2
8403950 Palmer et al. Mar 2013 B2
8409234 Stabler et al. Apr 2013 B2
8414577 Boudreaux et al. Apr 2013 B2
8418073 Mohr et al. Apr 2013 B2
8418349 Smith et al. Apr 2013 B2
8419757 Smith et al. Apr 2013 B2
8419758 Smith et al. Apr 2013 B2
8419759 Dietz Apr 2013 B2
8423182 Robinson et al. Apr 2013 B2
8425410 Murray et al. Apr 2013 B2
8425545 Smith et al. Apr 2013 B2
8430811 Hess et al. Apr 2013 B2
8430874 Newton et al. Apr 2013 B2
8430876 Kappus et al. Apr 2013 B2
8430897 Novak et al. Apr 2013 B2
8430898 Wiener et al. Apr 2013 B2
8435257 Smith et al. May 2013 B2
8437832 Govari et al. May 2013 B2
8439912 Cunningham et al. May 2013 B2
8439939 Deville et al. May 2013 B2
8444036 Shelton, IV May 2013 B2
8444637 Podmore et al. May 2013 B2
8444662 Palmer et al. May 2013 B2
8444663 Houser et al. May 2013 B2
8444664 Balanev et al. May 2013 B2
8453906 Huang et al. Jun 2013 B2
8454599 Inagaki et al. Jun 2013 B2
8454639 Du et al. Jun 2013 B2
8459525 Yates et al. Jun 2013 B2
8460284 Aronow et al. Jun 2013 B2
8460288 Tamai et al. Jun 2013 B2
8460292 Truckai et al. Jun 2013 B2
8461744 Wiener et al. Jun 2013 B2
8469981 Robertson et al. Jun 2013 B2
8471685 Shingai Jun 2013 B2
8479969 Shelton, IV Jul 2013 B2
8480703 Nicholas et al. Jul 2013 B2
8484833 Cunningham et al. Jul 2013 B2
8485413 Scheib et al. Jul 2013 B2
8485970 Widenhouse et al. Jul 2013 B2
8486057 Behnke, II Jul 2013 B2
8486096 Robertson et al. Jul 2013 B2
8491578 Manwaring et al. Jul 2013 B2
8491625 Horner Jul 2013 B2
8496682 Guerra et al. Jul 2013 B2
D687549 Johnson et al. Aug 2013 S
8506555 Ruiz Morales Aug 2013 B2
8509318 Tailliet Aug 2013 B2
8512336 Couture Aug 2013 B2
8512337 Francischelli et al. Aug 2013 B2
8512359 Whitman et al. Aug 2013 B2
8512364 Kowalski et al. Aug 2013 B2
8512365 Wiener et al. Aug 2013 B2
8517239 Scheib et al. Aug 2013 B2
8518067 Masuda et al. Aug 2013 B2
8521331 Itkowitz Aug 2013 B2
8523043 Ullrich et al. Sep 2013 B2
8523882 Huitema et al. Sep 2013 B2
8523889 Stulen et al. Sep 2013 B2
8528563 Gruber Sep 2013 B2
8529437 Taylor et al. Sep 2013 B2
8529565 Masuda et al. Sep 2013 B2
8531064 Robertson et al. Sep 2013 B2
8535308 Govari et al. Sep 2013 B2
8535311 Schall Sep 2013 B2
8535340 Allen Sep 2013 B2
8535341 Allen Sep 2013 B2
8540128 Shelton, IV et al. Sep 2013 B2
8546996 Messerly et al. Oct 2013 B2
8546999 Houser et al. Oct 2013 B2
8551077 Main et al. Oct 2013 B2
8551086 Kimura et al. Oct 2013 B2
8556929 Harper et al. Oct 2013 B2
8561870 Baxter, III et al. Oct 2013 B2
8562592 Conlon et al. Oct 2013 B2
8562598 Falkenstein et al. Oct 2013 B2
8562600 Kirkpatrick et al. Oct 2013 B2
8562604 Nishimura Oct 2013 B2
8568390 Mueller Oct 2013 B2
8568397 Horner et al. Oct 2013 B2
8568400 Gilbert Oct 2013 B2
8568412 Brandt et al. Oct 2013 B2
8569997 Lee Oct 2013 B2
8573461 Shelton, IV et al. Nov 2013 B2
8573465 Shelton, IV Nov 2013 B2
8574231 Boudreaux et al. Nov 2013 B2
8574253 Gruber et al. Nov 2013 B2
8579176 Smith et al. Nov 2013 B2
8579897 Vakharia et al. Nov 2013 B2
8579928 Robertson et al. Nov 2013 B2
8579937 Gresham Nov 2013 B2
8585727 Polo Nov 2013 B2
8588371 Ogawa et al. Nov 2013 B2
8591459 Clymer et al. Nov 2013 B2
8591506 Wham et al. Nov 2013 B2
8591536 Robertson Nov 2013 B2
D695407 Price et al. Dec 2013 S
D696631 Price et al. Dec 2013 S
8596513 Olson et al. Dec 2013 B2
8597193 Grunwald et al. Dec 2013 B2
8597287 Benamou et al. Dec 2013 B2
8602031 Reis et al. Dec 2013 B2
8602288 Shelton, IV et al. Dec 2013 B2
8603085 Jimenez Dec 2013 B2
8603089 Viola Dec 2013 B2
8608044 Hueil et al. Dec 2013 B2
8608045 Smith et al. Dec 2013 B2
8608745 Guzman et al. Dec 2013 B2
8613383 Beckman et al. Dec 2013 B2
8616431 Timm et al. Dec 2013 B2
8617152 Werneth et al. Dec 2013 B2
8617194 Beaupre Dec 2013 B2
8622274 Yates et al. Jan 2014 B2
8623011 Spivey Jan 2014 B2
8623016 Fischer Jan 2014 B2
8623027 Price et al. Jan 2014 B2
8623040 Artsyukhovich et al. Jan 2014 B2
8623044 Timm et al. Jan 2014 B2
8628529 Aldridge et al. Jan 2014 B2
8628534 Jones et al. Jan 2014 B2
8632461 Glossop Jan 2014 B2
8636736 Yates et al. Jan 2014 B2
8638428 Brown Jan 2014 B2
8640788 Dachs, II et al. Feb 2014 B2
8641663 Kirschenman et al. Feb 2014 B2
8647350 Mohan et al. Feb 2014 B2
8650728 Wan et al. Feb 2014 B2
8652120 Giordano et al. Feb 2014 B2
8652132 Tsuchiya et al. Feb 2014 B2
8652155 Houser et al. Feb 2014 B2
8657489 Ladurner et al. Feb 2014 B2
8659208 Rose et al. Feb 2014 B1
8663214 Weinberg et al. Mar 2014 B2
8663220 Wiener et al. Mar 2014 B2
8663222 Anderson et al. Mar 2014 B2
8663223 Masuda et al. Mar 2014 B2
8663262 Smith et al. Mar 2014 B2
8668691 Heard Mar 2014 B2
8668710 Slipszenko et al. Mar 2014 B2
8684253 Giordano et al. Apr 2014 B2
8685016 Wham et al. Apr 2014 B2
8685020 Weizman et al. Apr 2014 B2
8690582 Rohrbach et al. Apr 2014 B2
8695866 Leimbach et al. Apr 2014 B2
8696366 Chen et al. Apr 2014 B2
8696665 Hunt et al. Apr 2014 B2
8696666 Sanai et al. Apr 2014 B2
8696917 Petisce et al. Apr 2014 B2
8702609 Hadjicostis Apr 2014 B2
8702702 Edwards et al. Apr 2014 B1
8702704 Shelton, IV et al. Apr 2014 B2
8704425 Giordano et al. Apr 2014 B2
8708213 Shelton, IV et al. Apr 2014 B2
8709008 Willis et al. Apr 2014 B2
8709031 Stulen Apr 2014 B2
8709035 Johnson et al. Apr 2014 B2
8715270 Weitzner et al. May 2014 B2
8715277 Weizman May 2014 B2
8721640 Taylor et al. May 2014 B2
8721657 Kondoh et al. May 2014 B2
8733613 Huitema et al. May 2014 B2
8733614 Ross et al. May 2014 B2
8734443 Hixson et al. May 2014 B2
8738110 Tabada et al. May 2014 B2
8747238 Shelton, IV et al. Jun 2014 B2
8747351 Schultz Jun 2014 B2
8747404 Boudreaux et al. Jun 2014 B2
8749116 Messerly et al. Jun 2014 B2
8752264 Ackley et al. Jun 2014 B2
8752749 Moore et al. Jun 2014 B2
8753338 Widenhouse et al. Jun 2014 B2
8754570 Voegele et al. Jun 2014 B2
8758342 Bales et al. Jun 2014 B2
8758352 Cooper et al. Jun 2014 B2
8758391 Swayze et al. Jun 2014 B2
8764735 Coe et al. Jul 2014 B2
8764747 Cummings et al. Jul 2014 B2
8767970 Eppolito Jul 2014 B2
8770459 Racenet et al. Jul 2014 B2
8771269 Sherman et al. Jul 2014 B2
8771270 Burbank Jul 2014 B2
8771293 Surti et al. Jul 2014 B2
8773001 Wiener et al. Jul 2014 B2
8777944 Frankhouser et al. Jul 2014 B2
8777945 Floume et al. Jul 2014 B2
8779648 Giordano et al. Jul 2014 B2
8783541 Shelton, IV et al. Jul 2014 B2
8784415 Malackowski et al. Jul 2014 B2
8784418 Romero Jul 2014 B2
8790342 Stulen et al. Jul 2014 B2
8795274 Hanna Aug 2014 B2
8795275 Hafner Aug 2014 B2
8795276 Dietz et al. Aug 2014 B2
8795327 Dietz et al. Aug 2014 B2
8800838 Shelton, IV Aug 2014 B2
8801710 Ullrich et al. Aug 2014 B2
8801752 Fortier et al. Aug 2014 B2
8807414 Ross et al. Aug 2014 B2
8808204 Irisawa et al. Aug 2014 B2
8808319 Houser et al. Aug 2014 B2
8814856 Elmouelhi et al. Aug 2014 B2
8814870 Paraschiv et al. Aug 2014 B2
8820605 Shelton, IV Sep 2014 B2
8821388 Naito et al. Sep 2014 B2
8827992 Koss et al. Sep 2014 B2
8827995 Schaller et al. Sep 2014 B2
8834466 Cummings et al. Sep 2014 B2
8834518 Faller et al. Sep 2014 B2
8844789 Shelton, IV et al. Sep 2014 B2
8845537 Tanaka et al. Sep 2014 B2
8845630 Mehta et al. Sep 2014 B2
8848808 Dress Sep 2014 B2
8851354 Swensgard et al. Oct 2014 B2
8852184 Kucklick Oct 2014 B2
8858547 Brogna Oct 2014 B2
8862955 Cesari Oct 2014 B2
8864749 Okada Oct 2014 B2
8864757 Klimovitch et al. Oct 2014 B2
8864761 Johnson et al. Oct 2014 B2
8870865 Frankhouser et al. Oct 2014 B2
8874220 Draghici et al. Oct 2014 B2
8876726 Amit et al. Nov 2014 B2
8876858 Braun Nov 2014 B2
8882766 Couture et al. Nov 2014 B2
8882791 Stulen Nov 2014 B2
8888776 Dietz et al. Nov 2014 B2
8888783 Young Nov 2014 B2
8888809 Davison et al. Nov 2014 B2
8899462 Kostrzewski et al. Dec 2014 B2
8900259 Houser et al. Dec 2014 B2
8906016 Boudreaux et al. Dec 2014 B2
8906017 Rioux et al. Dec 2014 B2
8911438 Swoyer et al. Dec 2014 B2
8911460 Neurohr et al. Dec 2014 B2
8920412 Fritz et al. Dec 2014 B2
8920414 Stone et al. Dec 2014 B2
8920421 Rupp Dec 2014 B2
8926607 Norvell et al. Jan 2015 B2
8926608 Bacher et al. Jan 2015 B2
8926620 Chasmawala et al. Jan 2015 B2
8931682 Timm et al. Jan 2015 B2
8932282 Gilbert Jan 2015 B2
8932299 Bono et al. Jan 2015 B2
8936614 Allen, IV Jan 2015 B2
8939974 Boudreaux et al. Jan 2015 B2
8945126 Garrison et al. Feb 2015 B2
8951248 Messerly et al. Feb 2015 B2
8951272 Robertson et al. Feb 2015 B2
8956349 Aldridge et al. Feb 2015 B2
8960520 McCuen Feb 2015 B2
8961515 Twomey et al. Feb 2015 B2
8961547 Dietz et al. Feb 2015 B2
8967443 McCuen Mar 2015 B2
8968283 Kharin Mar 2015 B2
8968294 Maass et al. Mar 2015 B2
8968296 McPherson Mar 2015 B2
8968355 Malkowski et al. Mar 2015 B2
8974447 Kimball et al. Mar 2015 B2
8974477 Yamada Mar 2015 B2
8974479 Ross et al. Mar 2015 B2
8974932 McGahan et al. Mar 2015 B2
8979843 Timm et al. Mar 2015 B2
8979844 White et al. Mar 2015 B2
8979890 Boudreaux Mar 2015 B2
8986287 Park et al. Mar 2015 B2
8986297 Daniel et al. Mar 2015 B2
8986302 Aldridge et al. Mar 2015 B2
8989855 Murphy et al. Mar 2015 B2
8989903 Weir et al. Mar 2015 B2
8991678 Wellman et al. Mar 2015 B2
8992422 Spivey et al. Mar 2015 B2
8992526 Brodbeck et al. Mar 2015 B2
8998891 Garito et al. Apr 2015 B2
9005199 Beckman et al. Apr 2015 B2
9011437 Woodruff et al. Apr 2015 B2
9011471 Timm et al. Apr 2015 B2
9017326 DiNardo et al. Apr 2015 B2
9017355 Smith et al. Apr 2015 B2
9017370 Reschke et al. Apr 2015 B2
9017372 Artale et al. Apr 2015 B2
9023035 Allen, IV et al. May 2015 B2
9023070 Levine et al. May 2015 B2
9023071 Miller et al. May 2015 B2
9028397 Naito May 2015 B2
9028476 Bonn May 2015 B2
9028478 Mueller May 2015 B2
9028481 Behnke, II May 2015 B2
9028494 Shelton, IV et al. May 2015 B2
9028519 Yates et al. May 2015 B2
9031667 Williams May 2015 B2
9033973 Krapohl et al. May 2015 B2
9035741 Hamel et al. May 2015 B2
9037259 Mathur May 2015 B2
9039690 Kersten et al. May 2015 B2
9039691 Moua et al. May 2015 B2
9039692 Behnke, II et al. May 2015 B2
9039695 Giordano et al. May 2015 B2
9039696 Assmus et al. May 2015 B2
9039705 Takashino May 2015 B2
9039731 Joseph May 2015 B2
9043018 Mohr May 2015 B2
9044227 Shelton, IV et al. Jun 2015 B2
9044230 Morgan et al. Jun 2015 B2
9044238 Orszulak Jun 2015 B2
9044243 Johnson et al. Jun 2015 B2
9044245 Condie et al. Jun 2015 B2
9044256 Cadeddu et al. Jun 2015 B2
9044261 Houser Jun 2015 B2
9050083 Yates et al. Jun 2015 B2
9050093 Aldridge et al. Jun 2015 B2
9050098 Deville et al. Jun 2015 B2
9050123 Krause et al. Jun 2015 B2
9050124 Houser Jun 2015 B2
9055961 Manzo et al. Jun 2015 B2
9059547 McLawhorn Jun 2015 B2
9060770 Shelton, IV et al. Jun 2015 B2
9060775 Wiener et al. Jun 2015 B2
9060776 Yates et al. Jun 2015 B2
9060778 Condie et al. Jun 2015 B2
9066720 Ballakur et al. Jun 2015 B2
9066723 Beller et al. Jun 2015 B2
9066747 Robertson Jun 2015 B2
9072523 Houser et al. Jul 2015 B2
9072535 Shelton, IV et al. Jul 2015 B2
9072536 Shelton, IV et al. Jul 2015 B2
9072538 Suzuki et al. Jul 2015 B2
9072539 Messerly et al. Jul 2015 B2
9084624 Larkin et al. Jul 2015 B2
9089327 Worrell et al. Jul 2015 B2
9089360 Messerly et al. Jul 2015 B2
9095333 Konesky et al. Aug 2015 B2
9095362 Dachs, II et al. Aug 2015 B2
9095367 Olson et al. Aug 2015 B2
9099863 Smith et al. Aug 2015 B2
9101358 Kerr et al. Aug 2015 B2
9101385 Shelton, IV et al. Aug 2015 B2
9107684 Ma Aug 2015 B2
9107689 Robertson et al. Aug 2015 B2
9107690 Bales, Jr. et al. Aug 2015 B2
9113900 Buysse et al. Aug 2015 B2
9113907 Allen, IV et al. Aug 2015 B2
9113940 Twomey Aug 2015 B2
9119657 Shelton, IV et al. Sep 2015 B2
9119957 Gantz et al. Sep 2015 B2
9125662 Shelton, IV Sep 2015 B2
9125667 Stone et al. Sep 2015 B2
9144453 Rencher et al. Sep 2015 B2
9147965 Lee Sep 2015 B2
9149324 Huang et al. Oct 2015 B2
9149325 Worrell et al. Oct 2015 B2
9161803 Yates et al. Oct 2015 B2
9165114 Jain et al. Oct 2015 B2
9168054 Turner et al. Oct 2015 B2
9168085 Juzkiw et al. Oct 2015 B2
9168089 Buysse et al. Oct 2015 B2
9173656 Schurr et al. Nov 2015 B2
9179912 Yates et al. Nov 2015 B2
9186199 Strauss et al. Nov 2015 B2
9186204 Nishimura et al. Nov 2015 B2
9186796 Ogawa Nov 2015 B2
9192380 (Tarinelli) Racenet et al. Nov 2015 B2
9192421 Garrison Nov 2015 B2
9192428 Houser et al. Nov 2015 B2
9192431 Woodruff et al. Nov 2015 B2
9198714 Worrell et al. Dec 2015 B2
9198715 Livneh Dec 2015 B2
9198718 Marczyk et al. Dec 2015 B2
9198776 Young Dec 2015 B2
9204879 Shelton, IV Dec 2015 B2
9204891 Weitzman Dec 2015 B2
9204918 Germain et al. Dec 2015 B2
9204923 Manzo et al. Dec 2015 B2
9216050 Condie et al. Dec 2015 B2
9216051 Fischer et al. Dec 2015 B2
9216062 Duque et al. Dec 2015 B2
9220483 Frankhouser et al. Dec 2015 B2
9220527 Houser et al. Dec 2015 B2
9220559 Worrell et al. Dec 2015 B2
9226750 Weir et al. Jan 2016 B2
9226751 Shelton, IV et al. Jan 2016 B2
9226766 Aldridge et al. Jan 2016 B2
9226767 Stulen et al. Jan 2016 B2
9232979 Parihar et al. Jan 2016 B2
9237891 Shelton, IV Jan 2016 B2
9237921 Messerly et al. Jan 2016 B2
9241060 Fujisaki Jan 2016 B1
9241692 Gunday et al. Jan 2016 B2
9241728 Price et al. Jan 2016 B2
9241730 Babaev Jan 2016 B2
9241731 Boudreaux et al. Jan 2016 B2
9241768 Sandhu et al. Jan 2016 B2
9247953 Palmer et al. Feb 2016 B2
9254165 Aronow et al. Feb 2016 B2
9259234 Robertson et al. Feb 2016 B2
9259265 Harris et al. Feb 2016 B2
9265567 Orban, III et al. Feb 2016 B2
9265926 Strobl et al. Feb 2016 B2
9265973 Akagane Feb 2016 B2
9266310 Krogdahl et al. Feb 2016 B2
9277962 Koss et al. Mar 2016 B2
9282974 Shelton, IV Mar 2016 B2
9283027 Monson et al. Mar 2016 B2
9283045 Rhee et al. Mar 2016 B2
9283054 Morgan et al. Mar 2016 B2
9289256 Shelton, IV et al. Mar 2016 B2
9295514 Shelton, IV et al. Mar 2016 B2
9301759 Spivey et al. Apr 2016 B2
9305497 Seo et al. Apr 2016 B2
9307388 Liang et al. Apr 2016 B2
9307986 Hall et al. Apr 2016 B2
9308009 Madan et al. Apr 2016 B2
9308014 Fischer Apr 2016 B2
9314261 Bales, Jr. et al. Apr 2016 B2
9314292 Trees et al. Apr 2016 B2
9314301 Ben-Haim et al. Apr 2016 B2
9326754 Polster May 2016 B2
9326767 Koch, Jr. et al. May 2016 B2
9326787 Sanai et al. May 2016 B2
9326788 Batross et al. May 2016 B2
9332987 Leimbach et al. May 2016 B2
9333025 Monson et al. May 2016 B2
9333034 Hancock May 2016 B2
9339289 Robertson May 2016 B2
9339323 Eder et al. May 2016 B2
9339326 McCullagh et al. May 2016 B2
9345481 Hall et al. May 2016 B2
9345534 Artale et al. May 2016 B2
9345900 Wu et al. May 2016 B2
9351642 Nadkarni et al. May 2016 B2
9351726 Leimbach et al. May 2016 B2
9351727 Leimbach et al. May 2016 B2
9351754 Vakharia et al. May 2016 B2
9352173 Yamada et al. May 2016 B2
9358003 Hall et al. Jun 2016 B2
9358065 Ladtkow et al. Jun 2016 B2
9364171 Harris et al. Jun 2016 B2
9364230 Shelton, IV et al. Jun 2016 B2
9364279 Houser et al. Jun 2016 B2
9370364 Smith et al. Jun 2016 B2
9370400 Parihar Jun 2016 B2
9370611 Ross et al. Jun 2016 B2
9375206 Vidal et al. Jun 2016 B2
9375230 Ross et al. Jun 2016 B2
9375232 Hunt et al. Jun 2016 B2
9375256 Cunningham et al. Jun 2016 B2
9375264 Horner et al. Jun 2016 B2
9375267 Kerr et al. Jun 2016 B2
9385831 Marr et al. Jul 2016 B2
9386983 Swensgard et al. Jul 2016 B2
9393037 Olson et al. Jul 2016 B2
9393070 Gelfand et al. Jul 2016 B2
9398911 Auld Jul 2016 B2
9402680 Ginnebaugh et al. Aug 2016 B2
9402682 Worrell et al. Aug 2016 B2
9408606 Shelton, IV Aug 2016 B2
9408622 Stulen et al. Aug 2016 B2
9408660 Strobl et al. Aug 2016 B2
9414853 Stulen et al. Aug 2016 B2
9414880 Monson et al. Aug 2016 B2
9421014 Ingmanson et al. Aug 2016 B2
9421060 Monson et al. Aug 2016 B2
9427249 Robertson et al. Aug 2016 B2
9427279 Muniz-Medina et al. Aug 2016 B2
9439668 Timm et al. Sep 2016 B2
9439669 Wiener et al. Sep 2016 B2
9439671 Akagane Sep 2016 B2
9442288 Tanimura Sep 2016 B2
9445784 O'Keeffe Sep 2016 B2
9445832 Wiener et al. Sep 2016 B2
9451967 Jordan et al. Sep 2016 B2
9456863 Moua Oct 2016 B2
9456864 Witt et al. Oct 2016 B2
9468438 Baber et al. Oct 2016 B2
9468498 Sigmon, Jr. Oct 2016 B2
9474542 Slipszenko et al. Oct 2016 B2
9474568 Akagane Oct 2016 B2
9486236 Price et al. Nov 2016 B2
9492146 Kostrzewski et al. Nov 2016 B2
9492224 Boudreaux et al. Nov 2016 B2
9498245 Voegele et al. Nov 2016 B2
9498275 Wham et al. Nov 2016 B2
9504483 Houser et al. Nov 2016 B2
9504520 Worrell et al. Nov 2016 B2
9504524 Behnke, II Nov 2016 B2
9504855 Messerly et al. Nov 2016 B2
9510850 Robertson et al. Dec 2016 B2
9510906 Boudreaux et al. Dec 2016 B2
9522029 Yates et al. Dec 2016 B2
9522032 Behnke Dec 2016 B2
9526564 Rusin Dec 2016 B2
9526565 Strobl Dec 2016 B2
9545253 Worrell et al. Jan 2017 B2
9545497 Wenderow et al. Jan 2017 B2
9554465 Liu et al. Jan 2017 B1
9554794 Baber et al. Jan 2017 B2
9554846 Boudreaux Jan 2017 B2
9554854 Yates et al. Jan 2017 B2
9560995 Addison et al. Feb 2017 B2
9561038 Shelton, IV et al. Feb 2017 B2
9572592 Price et al. Feb 2017 B2
9574644 Parihar Feb 2017 B2
9585714 Livneh Mar 2017 B2
9592056 Mozdzierz et al. Mar 2017 B2
9592072 Akagane Mar 2017 B2
9597143 Madan et al. Mar 2017 B2
9603669 Govari et al. Mar 2017 B2
9610091 Johnson et al. Apr 2017 B2
9610114 Baxter, III et al. Apr 2017 B2
9615877 Tyrrell et al. Apr 2017 B2
9623237 Turner et al. Apr 2017 B2
9629623 Lytle, IV et al. Apr 2017 B2
9629629 Leimbach et al. Apr 2017 B2
9632573 Ogawa et al. Apr 2017 B2
9636135 Stulen May 2017 B2
9636165 Larson et al. May 2017 B2
9636167 Gregg May 2017 B2
9638770 Dietz et al. May 2017 B2
9642644 Houser et al. May 2017 B2
9642669 Takashino et al. May 2017 B2
9643052 Tchao 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
9649173 Choi et al. May 2017 B2
9655670 Larson et al. May 2017 B2
9662131 Omori et al. May 2017 B2
9668806 Unger et al. Jun 2017 B2
9671860 Ogawa et al. Jun 2017 B2
9674949 Liu et al. Jun 2017 B1
9675374 Stulen et al. Jun 2017 B2
9675375 Houser et al. Jun 2017 B2
9681884 Clem et al. Jun 2017 B2
9687230 Leimbach et al. Jun 2017 B2
9687290 Keller Jun 2017 B2
9690362 Leimbach et al. Jun 2017 B2
9693817 Mehta et al. Jul 2017 B2
9700309 Jaworek et al. Jul 2017 B2
9700339 Nield Jul 2017 B2
9700343 Messerly et al. Jul 2017 B2
9705456 Gilbert Jul 2017 B2
9707004 Houser et al. Jul 2017 B2
9707027 Ruddenklau et al. Jul 2017 B2
9707030 Davison et al. Jul 2017 B2
9713507 Stulen et al. Jul 2017 B2
9717548 Couture Aug 2017 B2
9717552 Cosman et al. Aug 2017 B2
9724094 Baber et al. Aug 2017 B2
9724118 Schulte et al. Aug 2017 B2
9724120 Faller et al. Aug 2017 B2
9724152 Horiie et al. Aug 2017 B2
9730695 Leimbach et al. Aug 2017 B2
9733663 Leimbach et al. Aug 2017 B2
9737301 Baber et al. Aug 2017 B2
9737326 Worrell et al. Aug 2017 B2
9737355 Yates et al. Aug 2017 B2
9737358 Beckman 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
9757142 Shimizu Sep 2017 B2
9757150 Alexander et al. Sep 2017 B2
9757186 Boudreaux et al. Sep 2017 B2
9764164 Wiener et al. Sep 2017 B2
9770285 Zoran et al. Sep 2017 B2
9782169 Kimsey 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
9795405 Price et al. Oct 2017 B2
9795436 Yates et al. Oct 2017 B2
9795808 Messerly et al. Oct 2017 B2
9801626 Parihar et al. Oct 2017 B2
9801648 Houser et al. Oct 2017 B2
9802033 Hibner et al. Oct 2017 B2
9804618 Leimbach et al. Oct 2017 B2
9808244 Leimbach et al. Nov 2017 B2
9808246 Shelton, IV et al. Nov 2017 B2
9808308 Faller et al. Nov 2017 B2
9814460 Kimsey et al. Nov 2017 B2
9814514 Shelton, IV et al. Nov 2017 B2
9815211 Cao et al. Nov 2017 B2
9820738 Lytle, IV et al. Nov 2017 B2
9820768 Gee et al. Nov 2017 B2
9820771 Norton et al. Nov 2017 B2
9820806 Lee et al. Nov 2017 B2
9826976 Parihar et al. Nov 2017 B2
9839443 Brockman et al. Dec 2017 B2
9844368 Boudreaux et al. Dec 2017 B2
9844374 Lytle, IV et al. Dec 2017 B2
9844375 Overmyer et al. Dec 2017 B2
9848901 Robertson et al. Dec 2017 B2
9848902 Price et al. Dec 2017 B2
9848937 Trees et al. Dec 2017 B2
9861381 Johnson Jan 2018 B2
9861428 Trees et al. Jan 2018 B2
9867612 Parihar et al. Jan 2018 B2
9867651 Wham Jan 2018 B2
9867670 Brannan et al. Jan 2018 B2
9872722 Lech Jan 2018 B2
9872725 Worrell et al. Jan 2018 B2
9872726 Morisaki Jan 2018 B2
9877720 Worrell et al. Jan 2018 B2
9877776 Boudreaux Jan 2018 B2
9877782 Voegele et al. Jan 2018 B2
9878184 Beaupre Jan 2018 B2
9883860 Leimbach et al. Feb 2018 B2
9883884 Neurohr et al. Feb 2018 B2
9888919 Leimbach et al. Feb 2018 B2
9888958 Evans et al. Feb 2018 B2
9895148 Shelton, IV et al. Feb 2018 B2
9895160 Fan et al. Feb 2018 B2
9901321 Harks et al. Feb 2018 B2
9901342 Shelton, IV et al. Feb 2018 B2
9901383 Hassler, Jr. Feb 2018 B2
9901754 Yamada Feb 2018 B2
9907563 Germain et al. Mar 2018 B2
9913642 Leimbach et al. Mar 2018 B2
9913656 Stulen Mar 2018 B2
9913680 Voegele et al. Mar 2018 B2
9918730 Trees et al. Mar 2018 B2
9924961 Shelton, IV et al. Mar 2018 B2
9925003 Parihar et al. Mar 2018 B2
9931118 Shelton, IV et al. Apr 2018 B2
9937001 Nakamura Apr 2018 B2
9943309 Shelton, IV et al. Apr 2018 B2
9949785 Price et al. Apr 2018 B2
9949788 Boudreaux Apr 2018 B2
9962182 Dietz et al. May 2018 B2
9968355 Shelton, IV et al. May 2018 B2
9974539 Yates et al. May 2018 B2
9987000 Shelton, IV et al. Jun 2018 B2
9987033 Neurohr et al. Jun 2018 B2
9993248 Shelton, IV et al. Jun 2018 B2
9993258 Shelton, IV et al. Jun 2018 B2
9993289 Sobajima et al. Jun 2018 B2
10004497 Overmyer et al. Jun 2018 B2
10004501 Shelton, IV et al. Jun 2018 B2
10004526 Dycus et al. Jun 2018 B2
10004527 Gee et al. Jun 2018 B2
D822206 Shelton, IV et al. Jul 2018 S
10010339 Witt et al. Jul 2018 B2
10010341 Houser et al. Jul 2018 B2
10013049 Leimbach et al. Jul 2018 B2
10016199 Baber et al. Jul 2018 B2
10016207 Suzuki et al. Jul 2018 B2
10022142 Aranyi et al. Jul 2018 B2
10022567 Messerly et al. Jul 2018 B2
10022568 Messerly et al. Jul 2018 B2
10028761 Leimbach et al. Jul 2018 B2
10028786 Mucilli et al. Jul 2018 B2
10034684 Weisenburgh, II et al. Jul 2018 B2
10034704 Asher et al. Jul 2018 B2
D826405 Shelton, IV et al. Aug 2018 S
10039588 Harper et al. Aug 2018 B2
10041822 Zemlok Aug 2018 B2
10045776 Shelton, IV et al. Aug 2018 B2
10045779 Savage et al. Aug 2018 B2
10045794 Witt et al. Aug 2018 B2
10045810 Schall et al. Aug 2018 B2
10045819 Jensen et al. Aug 2018 B2
10052044 Shelton, IV et al. Aug 2018 B2
10052102 Baxter, III et al. Aug 2018 B2
10070916 Artale Sep 2018 B2
10080609 Hancock et al. Sep 2018 B2
10085748 Morgan et al. Oct 2018 B2
10085762 Timm et al. Oct 2018 B2
10085792 Johnson et al. Oct 2018 B2
10092310 Boudreaux et al. Oct 2018 B2
10092344 Mohr et al. Oct 2018 B2
10092347 Weisshaupt et al. Oct 2018 B2
10092348 Boudreaux Oct 2018 B2
10092350 Rothweiler et al. Oct 2018 B2
10105140 Malinouskas et al. Oct 2018 B2
10111679 Baber et al. Oct 2018 B2
10111699 Boudreaux Oct 2018 B2
10111703 Cosman, Jr. et al. Oct 2018 B2
10117649 Baxter, III et al. Nov 2018 B2
10117667 Robertson et al. Nov 2018 B2
10117702 Danziger et al. Nov 2018 B2
10123835 Keller et al. Nov 2018 B2
10130367 Cappola et al. Nov 2018 B2
10130410 Strobl et al. Nov 2018 B2
10130412 Wham Nov 2018 B2
10135242 Baber et al. Nov 2018 B2
10136887 Shelton, IV et al. Nov 2018 B2
10149680 Parihar et al. Dec 2018 B2
10154848 Chernov et al. Dec 2018 B2
10154852 Conlon et al. Dec 2018 B2
10159483 Beckman et al. Dec 2018 B2
10159524 Yates et al. Dec 2018 B2
10166060 Johnson et al. Jan 2019 B2
10172665 Heckel et al. Jan 2019 B2
10172669 Felder et al. Jan 2019 B2
10178992 Wise et al. Jan 2019 B2
10179022 Yates et al. Jan 2019 B2
10180463 Beckman et al. 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
10188455 Hancock et al. Jan 2019 B2
10194907 Marczyk et al. Feb 2019 B2
10194972 Yates et al. Feb 2019 B2
10194973 Wiener et al. Feb 2019 B2
10194976 Boudreaux Feb 2019 B2
10194977 Yang Feb 2019 B2
10194999 Bacher et al. Feb 2019 B2
10201364 Leimbach et al. Feb 2019 B2
10201365 Boudreaux et al. Feb 2019 B2
10201382 Wiener et al. Feb 2019 B2
10226250 Beckman et al. Mar 2019 B2
10226273 Messerly et al. Mar 2019 B2
10231747 Stulen et al. Mar 2019 B2
10238385 Yates et al. Mar 2019 B2
10238391 Leimbach 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
10245095 Boudreaux Apr 2019 B2
10245104 McKenna et al. Apr 2019 B2
10251664 Shelton, IV et al. Apr 2019 B2
10258331 Shelton, IV et al. Apr 2019 B2
10258505 Ovchinnikov Apr 2019 B2
10263171 Wiener et al. Apr 2019 B2
10265068 Harris et al. Apr 2019 B2
10265117 Wiener et al. Apr 2019 B2
10265118 Gerhardt Apr 2019 B2
10271840 Sapre Apr 2019 B2
10271851 Shelton, IV et al. Apr 2019 B2
D847989 Shelton, IV et al. May 2019 S
10278721 Dietz et al. May 2019 B2
10285705 Shelton, IV et al. May 2019 B2
10285724 Faller et al. May 2019 B2
10285750 Coulson et al. May 2019 B2
10292704 Harris et al. May 2019 B2
10299810 Robertson et al. May 2019 B2
10299821 Shelton, IV et al. May 2019 B2
D850617 Shelton, IV et al. Jun 2019 S
D851762 Shelton, IV et al. Jun 2019 S
10307159 Harris et al. Jun 2019 B2
10314579 Chowaniec et al. Jun 2019 B2
10314582 Shelton, IV et al. Jun 2019 B2
10314638 Gee et al. Jun 2019 B2
10321907 Shelton, IV et al. Jun 2019 B2
10321950 Yates et al. Jun 2019 B2
D854151 Shelton, IV et al. Jul 2019 S
10335149 Baxter, III et al. Jul 2019 B2
10335182 Stulen et al. Jul 2019 B2
10335183 Worrell et al. Jul 2019 B2
10335614 Messerly et al. Jul 2019 B2
10342543 Shelton, IV et al. Jul 2019 B2
10342602 Strobl et al. Jul 2019 B2
10342606 Cosman et al. Jul 2019 B2
10342623 Huelman et al. Jul 2019 B2
10348941 Elliot, Jr. et al. Jul 2019 B2
10349999 Yates et al. Jul 2019 B2
10350016 Burbank et al. Jul 2019 B2
10350025 Loyd et al. Jul 2019 B1
10357246 Shelton, IV et al. Jul 2019 B2
10357247 Shelton, IV et al. Jul 2019 B2
10357303 Conlon et al. Jul 2019 B2
10363084 Friedrichs Jul 2019 B2
10368861 Baxter, III et al. Aug 2019 B2
10368865 Harris et al. Aug 2019 B2
10376263 Morgan et al. Aug 2019 B2
10376305 Yates et al. Aug 2019 B2
10390841 Shelton, IV et al. Aug 2019 B2
10398439 Cabrera et al. Sep 2019 B2
10398466 Stulen et al. Sep 2019 B2
10398497 Batross et al. 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
10413352 Thomas et al. Sep 2019 B2
10413353 Kerr et al. Sep 2019 B2
10420552 Shelton, IV et al. Sep 2019 B2
10420579 Wiener et al. Sep 2019 B2
10420607 Woloszko et al. Sep 2019 B2
D865175 Widenhouse et al. Oct 2019 S
10426471 Shelton, IV et al. Oct 2019 B2
10426507 Wiener et al. Oct 2019 B2
10426546 Graham et al. Oct 2019 B2
10426978 Akagane Oct 2019 B2
10433837 Worthington et al. Oct 2019 B2
10433849 Shelton, IV et al. Oct 2019 B2
10433865 Witt et al. Oct 2019 B2
10433866 Witt et al. Oct 2019 B2
10433900 Harris et al. Oct 2019 B2
10441279 Shelton, IV et al. Oct 2019 B2
10441308 Robertson Oct 2019 B2
10441310 Olson 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
10448986 Zikorus et al. Oct 2019 B2
10456140 Shelton, IV et al. Oct 2019 B2
10456193 Yates et al. Oct 2019 B2
10463421 Boudreaux et al. Nov 2019 B2
10463887 Witt et al. Nov 2019 B2
10470762 Leimbach et al. Nov 2019 B2
10470764 Baxter, III et al. Nov 2019 B2
10478182 Taylor Nov 2019 B2
10478190 Miller et al. Nov 2019 B2
10485542 Shelton, IV et al. Nov 2019 B2
10485543 Shelton, IV et al. Nov 2019 B2
10485607 Strobl et al. Nov 2019 B2
D869655 Shelton, IV et al. Dec 2019 S
10492785 Overmyer et al. Dec 2019 B2
10492849 Juergens et al. Dec 2019 B2
10499914 Huang et al. Dec 2019 B2
10507033 Dickerson et al. Dec 2019 B2
10512795 Voegele et al. Dec 2019 B2
10517595 Hunter et al. Dec 2019 B2
10517596 Hunter et al. Dec 2019 B2
10517627 Timm et al. Dec 2019 B2
10524787 Shelton, IV et al. Jan 2020 B2
10524789 Swayze et al. Jan 2020 B2
10524854 Woodruff et al. Jan 2020 B2
10524872 Stewart et al. Jan 2020 B2
10531874 Morgan 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
10543008 Vakharia et al. Jan 2020 B2
10548504 Shelton, IV et al. Feb 2020 B2
10548655 Scheib et al. Feb 2020 B2
10555769 Worrell et al. Feb 2020 B2
10561560 Boutoussov et al. Feb 2020 B2
10568624 Shelton, IV et al. 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
10575892 Danziger et al. Mar 2020 B2
10582928 Hunter et al. Mar 2020 B2
10588625 Weaner 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
10588633 Shelton, IV et al. Mar 2020 B2
10595929 Boudreaux et al. Mar 2020 B2
10595930 Scheib et al. Mar 2020 B2
10603036 Hunter et al. Mar 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
10617420 Shelton, IV et al. Apr 2020 B2
10617464 Duppuis Apr 2020 B2
10624635 Harris et al. Apr 2020 B2
10624691 Wiener et al. Apr 2020 B2
10631858 Burbank Apr 2020 B2
10631859 Shelton, IV et al. Apr 2020 B2
10632630 Cao et al. Apr 2020 B2
RE47996 Turner et al. May 2020 E
10639034 Harris et al. May 2020 B2
10639035 Shelton, IV et al. May 2020 B2
10639037 Shelton, IV et al. May 2020 B2
10639092 Corbett et al. May 2020 B2
10639098 Cosman et al. May 2020 B2
10646269 Worrell et al. May 2020 B2
10646292 Solomon et al. May 2020 B2
10653413 Worthington et al. 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
10675021 Harris et al. 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
10677764 Ross et al. Jun 2020 B2
10682136 Harris et al. Jun 2020 B2
10682138 Shelton, IV 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
10688321 Wiener et al. Jun 2020 B2
10695055 Shelton, IV et al. Jun 2020 B2
10695057 Shelton, IV et al. Jun 2020 B2
10695058 Lytle, IV et al. Jun 2020 B2
10695119 Smith Jun 2020 B2
10702270 Shelton, IV et al. Jul 2020 B2
10702329 Strobl et al. Jul 2020 B2
10709446 Harris et al. Jul 2020 B2
10709469 Shelton, IV et al. Jul 2020 B2
10709906 Nield Jul 2020 B2
10716615 Shelton, IV et al. Jul 2020 B2
10722233 Wellman Jul 2020 B2
D893717 Messerly et al. Aug 2020 S
10729458 Stoddard et al. Aug 2020 B2
10729494 Parihar et al. Aug 2020 B2
10736629 Shelton, IV et al. Aug 2020 B2
10736685 Wiener et al. Aug 2020 B2
10751108 Yates et al. Aug 2020 B2
10758229 Shelton, IV et al. Sep 2020 B2
10758230 Shelton, IV et al. Sep 2020 B2
10758232 Shelton, IV et al. Sep 2020 B2
10758294 Jones Sep 2020 B2
10765427 Shelton, IV et al. Sep 2020 B2
10765470 Yates et al. Sep 2020 B2
10772629 Shelton, IV et al. Sep 2020 B2
10772630 Wixey Sep 2020 B2
10779821 Harris et al. Sep 2020 B2
10779823 Shelton, IV et al. Sep 2020 B2
10779824 Shelton, IV et al. Sep 2020 B2
10779825 Shelton, IV et al. Sep 2020 B2
10779845 Timm et al. Sep 2020 B2
10779849 Shelton, IV et al. Sep 2020 B2
10779879 Yates et al. Sep 2020 B2
10786253 Shelton, IV et al. Sep 2020 B2
10786276 Hirai et al. Sep 2020 B2
10806454 Kopp Oct 2020 B2
10813638 Shelton, IV et al. Oct 2020 B2
10820938 Fischer et al. Nov 2020 B2
10828058 Shelton, IV et al. Nov 2020 B2
10835245 Swayze et al. Nov 2020 B2
10835246 Shelton, IV et al. Nov 2020 B2
10835247 Shelton, IV et al. Nov 2020 B2
10835307 Shelton, IV et al. Nov 2020 B2
10842492 Shelton, IV et al. Nov 2020 B2
10842523 Shelton, IV et al. Nov 2020 B2
10842563 Gilbert et al. Nov 2020 B2
D906355 Messerly et al. Dec 2020 S
10856867 Shelton, IV et al. Dec 2020 B2
10856868 Shelton, IV et al. Dec 2020 B2
10856869 Shelton, IV et al. Dec 2020 B2
10856870 Harris et al. Dec 2020 B2
10856896 Eichmann et al. Dec 2020 B2
10856929 Yates et al. Dec 2020 B2
10856934 Trees et al. Dec 2020 B2
10874465 Weir et al. Dec 2020 B2
D908216 Messerly et al. Jan 2021 S
10881399 Shelton, IV et al. Jan 2021 B2
10881401 Baber et al. Jan 2021 B2
10881409 Cabrera Jan 2021 B2
10881449 Boudreaux et al. Jan 2021 B2
10888322 Morgan et al. Jan 2021 B2
10888347 Witt et al. Jan 2021 B2
10893863 Shelton, IV et al. Jan 2021 B2
10893864 Harris et al. Jan 2021 B2
10893883 Dannaher Jan 2021 B2
10898186 Bakos et al. Jan 2021 B2
10898256 Yates et al. Jan 2021 B2
10912559 Harris et al. Feb 2021 B2
10912580 Green et al. Feb 2021 B2
10912603 Boudreaux et al. Feb 2021 B2
10918385 Overmyer et al. Feb 2021 B2
10925659 Shelton, IV et al. Feb 2021 B2
D914878 Shelton, IV et al. Mar 2021 S
10932766 Tesar et al. Mar 2021 B2
10932847 Yates et al. Mar 2021 B2
10945727 Shelton, IV et al. Mar 2021 B2
10952788 Asher et al. Mar 2021 B2
10959727 Hunter et al. Mar 2021 B2
10966741 Illizaliturri-Sanchez et al. Apr 2021 B2
10966747 Worrell et al. Apr 2021 B2
10973516 Shelton, IV et al. Apr 2021 B2
10973517 Wixey Apr 2021 B2
10973520 Shelton, IV et al. Apr 2021 B2
10980536 Weaner et al. Apr 2021 B2
10987123 Weir et al. Apr 2021 B2
10987156 Trees et al. Apr 2021 B2
10993715 Shelton, IV et al. May 2021 B2
10993716 Shelton, IV et al. May 2021 B2
10993763 Batross et al. May 2021 B2
11000278 Shelton, IV et al. May 2021 B2
11000279 Shelton, IV et al. May 2021 B2
11020114 Shelton, IV et al. Jun 2021 B2
11020140 Gee et al. Jun 2021 B2
11033322 Wiener et al. Jun 2021 B2
11039834 Harris et al. Jun 2021 B2
11045191 Shelton, IV et al. Jun 2021 B2
11045192 Harris et al. Jun 2021 B2
11045275 Boudreaux et al. Jun 2021 B2
11051840 Shelton, IV et al. Jul 2021 B2
11051873 Wiener et al. Jul 2021 B2
11058424 Shelton, IV et al. Jul 2021 B2
11058447 Houser Jul 2021 B2
11058448 Shelton, IV et al. Jul 2021 B2
11058475 Wiener et al. Jul 2021 B2
11064997 Shelton, IV et al. Jul 2021 B2
11065048 Messerly et al. Jul 2021 B2
11083455 Shelton, IV et al. Aug 2021 B2
11083458 Harris et al. Aug 2021 B2
11090048 Fanelli et al. Aug 2021 B2
11090049 Bakos et al. Aug 2021 B2
11090104 Wiener et al. Aug 2021 B2
11096688 Shelton, IV et al. Aug 2021 B2
11096752 Stulen et al. Aug 2021 B2
11109866 Shelton, IV et al. Sep 2021 B2
11129611 Shelton, IV et al. Sep 2021 B2
11129666 Messerly et al. Sep 2021 B2
11129669 Stulen et al. Sep 2021 B2
11129670 Shelton, IV et al. Sep 2021 B2
11134942 Harris et al. Oct 2021 B2
11134978 Shelton, IV et al. Oct 2021 B2
11141154 Shelton, IV et al. Oct 2021 B2
11141213 Yates et al. Oct 2021 B2
11147551 Shelton, IV Oct 2021 B2
11147553 Shelton, IV Oct 2021 B2
11160551 Shelton, IV et al. Nov 2021 B2
11166716 Shelton, IV et al. Nov 2021 B2
11172929 Shelton, IV Nov 2021 B2
11179155 Shelton, IV et al. Nov 2021 B2
11191539 Overmyer et al. Dec 2021 B2
11191540 Aronhalt et al. Dec 2021 B2
11197668 Shelton, IV et al. Dec 2021 B2
11202670 Worrell et al. Dec 2021 B2
11207065 Harris et al. Dec 2021 B2
11207067 Shelton, IV et al. Dec 2021 B2
11213293 Worthington et al. Jan 2022 B2
11213294 Shelton, IV et al. Jan 2022 B2
11219453 Shelton, IV et al. Jan 2022 B2
11224426 Shelton, IV et al. Jan 2022 B2
11224497 Shelton, IV et al. Jan 2022 B2
11229437 Shelton, IV et al. Jan 2022 B2
11229450 Shelton, IV et al. Jan 2022 B2
11229471 Shelton, IV et al. Jan 2022 B2
11229472 Shelton, IV et al. Jan 2022 B2
11234698 Shelton, IV et al. Feb 2022 B2
11241235 Shelton, IV et al. Feb 2022 B2
11246592 Shelton, IV et al. Feb 2022 B2
11246625 Kane et al. Feb 2022 B2
11246678 Shelton, IV et al. Feb 2022 B2
11253256 Harris et al. Feb 2022 B2
11259803 Shelton, IV et al. Mar 2022 B2
11259805 Shelton, IV et al. Mar 2022 B2
11259806 Shelton, IV et al. Mar 2022 B2
11259807 Shelton, IV et al. Mar 2022 B2
11266405 Shelton, IV et al. Mar 2022 B2
11272931 Boudreaux et al. Mar 2022 B2
11278280 Shelton, IV et al. Mar 2022 B2
11284890 Nalagatla et al. Mar 2022 B2
11291440 Harris et al. Apr 2022 B2
11291444 Boudreaux et al. Apr 2022 B2
11291445 Shelton, IV et al. Apr 2022 B2
11291447 Shelton, IV et al. Apr 2022 B2
11291451 Shelton, IV Apr 2022 B2
11298127 Shelton, IV Apr 2022 B2
11298129 Bakos et al. Apr 2022 B2
11298130 Bakos et al. Apr 2022 B2
11304695 Shelton, IV et al. Apr 2022 B2
11304696 Shelton, IV et al. Apr 2022 B2
11304699 Shelton, IV et al. Apr 2022 B2
11311306 Shelton, IV et al. Apr 2022 B2
11311342 Parihar et al. Apr 2022 B2
D950728 Bakos et al. May 2022 S
D952144 Boudreaux May 2022 S
11317915 Boudreaux et al. May 2022 B2
11324503 Shelton, IV et al. May 2022 B2
11324557 Shelton, IV et al. May 2022 B2
11331100 Boudreaux et al. May 2022 B2
11331101 Harris et al. May 2022 B2
11350938 Shelton, IV et al. Jun 2022 B2
11357503 Bakos et al. Jun 2022 B2
11361176 Shelton, IV et al. Jun 2022 B2
11369377 Boudreaux et al. Jun 2022 B2
11376098 Shelton, IV et al. Jul 2022 B2
11389161 Shelton, IV et al. Jul 2022 B2
11389164 Yates et al. Jul 2022 B2
11399837 Shelton, IV et al. Aug 2022 B2
11406382 Shelton, IV et al. Aug 2022 B2
11419606 Overmyer et al. Aug 2022 B2
11424027 Shelton, IV Aug 2022 B2
11426167 Shelton, IV et al. Aug 2022 B2
11446029 Shelton, IV et al. Sep 2022 B2
11464511 Timm et al. Oct 2022 B2
11464512 Shelton, IV et al. Oct 2022 B2
11464601 Shelton, IV et al. Oct 2022 B2
11471155 Shelton, IV et al. Oct 2022 B2
11471156 Shelton, IV et al. Oct 2022 B2
11471206 Henderson et al. Oct 2022 B2
11478242 Shelton, IV et al. Oct 2022 B2
11484310 Shelton, IV et al. Nov 2022 B2
11504122 Shelton, IV et al. Nov 2022 B2
11517309 Bakos et al. Dec 2022 B2
11529137 Shelton, IV et al. Dec 2022 B2
11529139 Shelton, IV et al. Dec 2022 B2
20010025173 Ritchie et al. Sep 2001 A1
20010025183 Shahidi Sep 2001 A1
20010025184 Messerly Sep 2001 A1
20010031950 Ryan Oct 2001 A1
20010039419 Francischelli et al. Nov 2001 A1
20020002377 Cimino Jan 2002 A1
20020002380 Bishop Jan 2002 A1
20020019649 Sikora et al. Feb 2002 A1
20020022836 Goble et al. Feb 2002 A1
20020029036 Goble et al. Mar 2002 A1
20020029055 Bonutti Mar 2002 A1
20020032452 Tierney et al. Mar 2002 A1
20020049551 Friedman et al. Apr 2002 A1
20020052617 Anis et al. May 2002 A1
20020077550 Rabiner et al. Jun 2002 A1
20020107517 Witt et al. Aug 2002 A1
20020133152 Strul Sep 2002 A1
20020156466 Sakurai et al. Oct 2002 A1
20020156493 Houser et al. Oct 2002 A1
20020165577 Witt et al. Nov 2002 A1
20020177862 Aranyi et al. Nov 2002 A1
20030009164 Woloszko et al. Jan 2003 A1
20030014053 Nguyen et al. Jan 2003 A1
20030014087 Fang et al. Jan 2003 A1
20030036705 Hare et al. Feb 2003 A1
20030040758 Wang et al. Feb 2003 A1
20030050572 Brautigam et al. Mar 2003 A1
20030055443 Spotnitz Mar 2003 A1
20030073981 Whitman et al. Apr 2003 A1
20030109778 Rashidi Jun 2003 A1
20030109875 Tetzlaff et al. Jun 2003 A1
20030114851 Truckai et al. Jun 2003 A1
20030130693 Levin et al. Jul 2003 A1
20030139741 Goble et al. Jul 2003 A1
20030144680 Kellogg et al. Jul 2003 A1
20030158548 Phan et al. Aug 2003 A1
20030171747 Kanehira et al. Sep 2003 A1
20030176778 Messing et al. Sep 2003 A1
20030181898 Bowers Sep 2003 A1
20030199794 Sakurai et al. Oct 2003 A1
20030204199 Novak et al. Oct 2003 A1
20030208186 Moreyra Nov 2003 A1
20030212332 Fenton et al. Nov 2003 A1
20030212363 Shipp Nov 2003 A1
20030212392 Fenton et al. Nov 2003 A1
20030212422 Fenton et al. Nov 2003 A1
20030225332 Okada et al. Dec 2003 A1
20030229344 Dycus et al. Dec 2003 A1
20040030254 Babaev Feb 2004 A1
20040030330 Brassell et al. Feb 2004 A1
20040047485 Sherrit et al. Mar 2004 A1
20040054364 Aranyi et al. Mar 2004 A1
20040064151 Mollenauer Apr 2004 A1
20040087943 Dycus et al. May 2004 A1
20040092921 Kadziauskas et al. May 2004 A1
20040092992 Adams et al. May 2004 A1
20040094597 Whitman et al. May 2004 A1
20040097911 Murakami et al. May 2004 A1
20040097912 Gonnering May 2004 A1
20040097919 Wellman et al. May 2004 A1
20040097996 Rabiner et al. May 2004 A1
20040116952 Sakurai et al. Jun 2004 A1
20040122423 Dycus et al. Jun 2004 A1
20040132383 Langford et al. Jul 2004 A1
20040138621 Jahns et al. Jul 2004 A1
20040142667 Lochhead et al. Jul 2004 A1
20040143263 Schechter et al. Jul 2004 A1
20040147934 Kiester Jul 2004 A1
20040147945 Fritzsch Jul 2004 A1
20040158237 Abboud et al. Aug 2004 A1
20040167508 Wham et al. Aug 2004 A1
20040176686 Hare et al. Sep 2004 A1
20040176751 Weitzner et al. Sep 2004 A1
20040181242 Stack et al. Sep 2004 A1
20040193150 Sharkey et al. Sep 2004 A1
20040193153 Sartor et al. Sep 2004 A1
20040193212 Taniguchi et al. Sep 2004 A1
20040199193 Hayashi et al. Oct 2004 A1
20040215132 Yoon Oct 2004 A1
20040243147 Lipow Dec 2004 A1
20040249374 Tetzlaff et al. Dec 2004 A1
20040260273 Wan Dec 2004 A1
20040260300 Gorensek et al. Dec 2004 A1
20040267311 Viola et al. Dec 2004 A1
20050015125 Mioduski et al. Jan 2005 A1
20050020967 Ono Jan 2005 A1
20050021018 Anderson et al. Jan 2005 A1
20050021065 Yamada et al. Jan 2005 A1
20050021078 Vleugels et al. Jan 2005 A1
20050033278 McClurken et al. Feb 2005 A1
20050033337 Muir et al. Feb 2005 A1
20050070800 Takahashi Mar 2005 A1
20050080427 Govari et al. Apr 2005 A1
20050088285 Jei Apr 2005 A1
20050090817 Phan Apr 2005 A1
20050096683 Ellins et al. May 2005 A1
20050099824 Dowling et al. May 2005 A1
20050107777 West et al. May 2005 A1
20050131390 Heinrich et al. Jun 2005 A1
20050143769 White et al. Jun 2005 A1
20050149108 Cox Jul 2005 A1
20050165429 Douglas et al. Jul 2005 A1
20050171522 Christopherson Aug 2005 A1
20050171533 Latterell et al. Aug 2005 A1
20050177184 Easley Aug 2005 A1
20050182339 Lee et al. Aug 2005 A1
20050187576 Whitman et al. Aug 2005 A1
20050188743 Land Sep 2005 A1
20050192610 Houser et al. Sep 2005 A1
20050192611 Houser Sep 2005 A1
20050206583 Lemelson et al. Sep 2005 A1
20050222598 Ho et al. Oct 2005 A1
20050234484 Houser et al. Oct 2005 A1
20050249667 Tuszynski et al. Nov 2005 A1
20050256405 Makin et al. Nov 2005 A1
20050261588 Makin et al. Nov 2005 A1
20050262175 Iino et al. Nov 2005 A1
20050267464 Truckai et al. Dec 2005 A1
20050271807 Iljima et al. Dec 2005 A1
20050273090 Nieman et al. Dec 2005 A1
20050288659 Kimura et al. Dec 2005 A1
20060025757 Heim Feb 2006 A1
20060030797 Zhou et al. Feb 2006 A1
20060030848 Craig et al. Feb 2006 A1
20060058825 Ogura et al. Mar 2006 A1
20060063130 Hayman et al. Mar 2006 A1
20060064086 Odom Mar 2006 A1
20060066181 Bromfield et al. Mar 2006 A1
20060074442 Noriega et al. Apr 2006 A1
20060079874 Faller et al. Apr 2006 A1
20060079879 Faller et al. Apr 2006 A1
20060095046 Trieu et al. May 2006 A1
20060109061 Dobson et al. May 2006 A1
20060142656 Malackowski et al. Jun 2006 A1
20060159731 Shoshan Jul 2006 A1
20060190034 Nishizawa et al. Aug 2006 A1
20060206100 Eskridge et al. Sep 2006 A1
20060206115 Schomer et al. Sep 2006 A1
20060211943 Beaupre Sep 2006 A1
20060217700 Garito et al. Sep 2006 A1
20060217729 Eskridge et al. Sep 2006 A1
20060224160 Trieu et al. Oct 2006 A1
20060247558 Yamada Nov 2006 A1
20060253050 Yoshimine et al. Nov 2006 A1
20060259026 Godara et al. Nov 2006 A1
20060264809 Hansmann et al. Nov 2006 A1
20060264995 Fanton et al. Nov 2006 A1
20060265035 Yachi et al. Nov 2006 A1
20060270916 Skwarek et al. Nov 2006 A1
20060271030 Francis et al. Nov 2006 A1
20060293656 Shadduck et al. Dec 2006 A1
20070016235 Tanaka et al. Jan 2007 A1
20070016236 Beaupre Jan 2007 A1
20070021738 Hasser et al. Jan 2007 A1
20070027468 Wales et al. Feb 2007 A1
20070032704 Gandini et al. Feb 2007 A1
20070055228 Berg et al. Mar 2007 A1
20070056596 Fanney et al. Mar 2007 A1
20070060935 Schwardt et al. Mar 2007 A1
20070063618 Bromfield Mar 2007 A1
20070066971 Podhajsky Mar 2007 A1
20070067123 Jungerman Mar 2007 A1
20070073185 Nakao Mar 2007 A1
20070073341 Smith et al. Mar 2007 A1
20070074584 Talarico et al. Apr 2007 A1
20070106317 Shelton et al. May 2007 A1
20070118115 Artale et al. May 2007 A1
20070130771 Ehlert et al. Jun 2007 A1
20070135803 Belson Jun 2007 A1
20070149881 Rabin Jun 2007 A1
20070156163 Davison et al. Jul 2007 A1
20070166663 Telles et al. Jul 2007 A1
20070173803 Wham et al. Jul 2007 A1
20070173813 Odom Jul 2007 A1
20070173872 Neuenfeldt Jul 2007 A1
20070175955 Shelton et al. Aug 2007 A1
20070185474 Nahen Aug 2007 A1
20070191712 Messerly et al. Aug 2007 A1
20070191713 Eichmann et al. Aug 2007 A1
20070203483 Kim et al. Aug 2007 A1
20070208336 Kim et al. Sep 2007 A1
20070208340 Ganz et al. Sep 2007 A1
20070219481 Babaev Sep 2007 A1
20070232926 Stulen et al. Oct 2007 A1
20070232928 Wiener et al. Oct 2007 A1
20070236213 Paden et al. Oct 2007 A1
20070239101 Kellogg Oct 2007 A1
20070249941 Salehi et al. Oct 2007 A1
20070260242 Dycus et al. Nov 2007 A1
20070265560 Soltani et al. Nov 2007 A1
20070265613 Edelstein et al. Nov 2007 A1
20070265616 Couture et al. Nov 2007 A1
20070265620 Kraas et al. Nov 2007 A1
20070275348 Lemon Nov 2007 A1
20070287933 Phan et al. Dec 2007 A1
20070288055 Lee Dec 2007 A1
20070299895 Johnson Dec 2007 A1
20080005213 Holtzman Jan 2008 A1
20080013809 Zhu et al. Jan 2008 A1
20080015473 Shimizu Jan 2008 A1
20080015575 Odom et al. Jan 2008 A1
20080033465 Schmitz et al. Feb 2008 A1
20080039746 Hissong et al. Feb 2008 A1
20080046122 Manzo et al. Feb 2008 A1
20080051812 Schmitz et al. Feb 2008 A1
20080058775 Darian et al. Mar 2008 A1
20080058845 Shimizu et al. Mar 2008 A1
20080071269 Hilario et al. Mar 2008 A1
20080077145 Boyden et al. Mar 2008 A1
20080082039 Babaev Apr 2008 A1
20080082098 Tanaka et al. Apr 2008 A1
20080097501 Blier Apr 2008 A1
20080114355 Whayne et al. May 2008 A1
20080114364 Goldin et al. May 2008 A1
20080122496 Wagner May 2008 A1
20080125768 Tahara et al. May 2008 A1
20080147058 Horrell et al. Jun 2008 A1
20080147062 Truckai et al. Jun 2008 A1
20080147092 Rogge et al. Jun 2008 A1
20080167670 Shelton et al. Jul 2008 A1
20080171938 Masuda et al. Jul 2008 A1
20080177268 Daum et al. Jul 2008 A1
20080188755 Hart Aug 2008 A1
20080200940 Eichmann et al. Aug 2008 A1
20080208108 Kimura Aug 2008 A1
20080208231 Ota et al. Aug 2008 A1
20080214967 Aranyi et al. Sep 2008 A1
20080234709 Houser Sep 2008 A1
20080243162 Shibata et al. Oct 2008 A1
20080255413 Zemlok et al. Oct 2008 A1
20080275440 Kratoska et al. Nov 2008 A1
20080281200 Voic et al. Nov 2008 A1
20080281315 Gines Nov 2008 A1
20080287944 Pearson et al. Nov 2008 A1
20080287948 Newton et al. Nov 2008 A1
20080296346 Shelton, IV et al. Dec 2008 A1
20080300588 Groth et al. Dec 2008 A1
20090012516 Curtis et al. Jan 2009 A1
20090023985 Ewers Jan 2009 A1
20090036913 Wiener et al. Feb 2009 A1
20090043293 Pankratov et al. Feb 2009 A1
20090048537 Lydon et al. Feb 2009 A1
20090048589 Takashino et al. Feb 2009 A1
20090054886 Yachi et al. Feb 2009 A1
20090054889 Newton et al. Feb 2009 A1
20090054894 Yachi Feb 2009 A1
20090062786 Garito Mar 2009 A1
20090065565 Cao Mar 2009 A1
20090076506 Baker Mar 2009 A1
20090082716 Akahoshi Mar 2009 A1
20090082766 Unger et al. Mar 2009 A1
20090088745 Hushka et al. Apr 2009 A1
20090088785 Masuda Apr 2009 A1
20090090763 Zemlok et al. Apr 2009 A1
20090101692 Whitman et al. Apr 2009 A1
20090105750 Price et al. Apr 2009 A1
20090112206 Dumbauld et al. Apr 2009 A1
20090118751 Wiener et al. May 2009 A1
20090131885 Akahoshi May 2009 A1
20090131934 Odom et al. May 2009 A1
20090143678 Keast et al. Jun 2009 A1
20090143799 Smith et al. Jun 2009 A1
20090143800 Deville et al. Jun 2009 A1
20090157064 Hodel Jun 2009 A1
20090163807 Sliwa Jun 2009 A1
20090177119 Heidner et al. Jul 2009 A1
20090179923 Amundson et al. Jul 2009 A1
20090182322 D'Amelio et al. Jul 2009 A1
20090182331 D'Amelio et al. Jul 2009 A1
20090182332 Long et al. Jul 2009 A1
20090182333 Eder et al. Jul 2009 A1
20090192441 Gelbart et al. Jul 2009 A1
20090198272 Kerver et al. Aug 2009 A1
20090204114 Odom Aug 2009 A1
20090216157 Yamada Aug 2009 A1
20090223033 Houser Sep 2009 A1
20090240244 Malis et al. Sep 2009 A1
20090248021 McKenna Oct 2009 A1
20090248022 Falkenstein et al. Oct 2009 A1
20090254077 Craig Oct 2009 A1
20090254080 Honda Oct 2009 A1
20090259149 Tahara et al. Oct 2009 A1
20090264909 Beaupre Oct 2009 A1
20090270771 Takahashi Oct 2009 A1
20090270812 Litscher et al. Oct 2009 A1
20090270853 Yachi et al. Oct 2009 A1
20090270891 Beaupre Oct 2009 A1
20090270899 Carusillo et al. Oct 2009 A1
20090287205 Ingle Nov 2009 A1
20090292283 Odom Nov 2009 A1
20090299141 Downey et al. Dec 2009 A1
20090306639 Nevo et al. Dec 2009 A1
20090327715 Smith et al. Dec 2009 A1
20100004508 Naito et al. Jan 2010 A1
20100022825 Yoshie Jan 2010 A1
20100030233 Whitman et al. Feb 2010 A1
20100034605 Huckins et al. Feb 2010 A1
20100036370 Mirel et al. Feb 2010 A1
20100036373 Ward Feb 2010 A1
20100042093 Wham et al. Feb 2010 A9
20100049180 Wells et al. Feb 2010 A1
20100057081 Hanna Mar 2010 A1
20100057118 Dietz et al. Mar 2010 A1
20100063437 Nelson et al. Mar 2010 A1
20100063525 Beaupre et al. Mar 2010 A1
20100063528 Beaupre Mar 2010 A1
20100081863 Hess et al. Apr 2010 A1
20100081864 Hess et al. Apr 2010 A1
20100081883 Murray et al. Apr 2010 A1
20100094323 Isaacs et al. Apr 2010 A1
20100106173 Yoshimine Apr 2010 A1
20100109480 Forslund et al. May 2010 A1
20100158307 Kubota et al. Jun 2010 A1
20100168741 Sanai et al. Jul 2010 A1
20100181966 Sakakibara Jul 2010 A1
20100187283 Crainich et al. Jul 2010 A1
20100193566 Scheib et al. Aug 2010 A1
20100204721 Young et al. Aug 2010 A1
20100217258 Floume Aug 2010 A1
20100222714 Muir et al. Sep 2010 A1
20100222752 Collins, Jr. et al. Sep 2010 A1
20100225209 Goldberg et al. Sep 2010 A1
20100228249 Mohr et al. Sep 2010 A1
20100228250 Brogna Sep 2010 A1
20100234906 Koh Sep 2010 A1
20100256635 McKenna et al. Oct 2010 A1
20100274160 Yachi et al. Oct 2010 A1
20100274278 Fleenor et al. Oct 2010 A1
20100280368 Can et al. Nov 2010 A1
20100298743 Nield et al. Nov 2010 A1
20100305564 Livneh Dec 2010 A1
20100331742 Masuda Dec 2010 A1
20100331871 Nield et al. Dec 2010 A1
20110004233 Muir et al. Jan 2011 A1
20110015650 Choi et al. Jan 2011 A1
20110022032 Zemlok et al. Jan 2011 A1
20110028964 Edwards Feb 2011 A1
20110071523 Dickhans Mar 2011 A1
20110082494 Kerr et al. Apr 2011 A1
20110106141 Nakamura May 2011 A1
20110112400 Emery et al. May 2011 A1
20110125149 El-Galley et al. May 2011 A1
20110125151 Strauss et al. May 2011 A1
20110144640 Heinrich et al. Jun 2011 A1
20110160725 Kabaya et al. Jun 2011 A1
20110238010 Kirschenman et al. Sep 2011 A1
20110238079 Hannaford et al. Sep 2011 A1
20110273465 Konishi et al. Nov 2011 A1
20110278343 Knodel et al. Nov 2011 A1
20110279268 Konishi et al. Nov 2011 A1
20110284014 Cadeddu et al. Nov 2011 A1
20110290856 Shelton, IV et al. Dec 2011 A1
20110295295 Shelton, IV et al. Dec 2011 A1
20110306967 Payne et al. Dec 2011 A1
20110313415 Fernandez et al. Dec 2011 A1
20120004655 Kim et al. Jan 2012 A1
20120016413 Timm et al. Jan 2012 A1
20120022519 Huang et al. Jan 2012 A1
20120022526 Aldridge et al. Jan 2012 A1
20120022583 Sugalski et al. Jan 2012 A1
20120041358 Mann et al. Feb 2012 A1
20120053597 Anvari et al. Mar 2012 A1
20120059286 Hastings et al. Mar 2012 A1
20120059289 Nield et al. Mar 2012 A1
20120071863 Lee et al. Mar 2012 A1
20120078244 Worrell et al. Mar 2012 A1
20120080344 Shelton, IV Apr 2012 A1
20120101493 Masuda et al. Apr 2012 A1
20120101495 Young et al. Apr 2012 A1
20120109186 Parrott et al. May 2012 A1
20120116222 Sawada et al. May 2012 A1
20120116265 Houser et al. May 2012 A1
20120116266 Houser et al. May 2012 A1
20120116381 Houser et al. May 2012 A1
20120136279 Tanaka et al. May 2012 A1
20120136347 Brustad et al. May 2012 A1
20120136386 Kishida et al. May 2012 A1
20120143182 Ullrich et al. Jun 2012 A1
20120143211 Kishi Jun 2012 A1
20120150049 Zielinski et al. Jun 2012 A1
20120150169 Zielinksi et al. Jun 2012 A1
20120172904 Muir et al. Jul 2012 A1
20120191091 Allen Jul 2012 A1
20120193396 Zemlok et al. Aug 2012 A1
20120211542 Racenet Aug 2012 A1
20120226266 Ghosal et al. Sep 2012 A1
20120234893 Schuckmann et al. Sep 2012 A1
20120253328 Cunningham et al. Oct 2012 A1
20120253329 Zemlok et al. Oct 2012 A1
20120265196 Turner Oct 2012 A1
20120265241 Hart et al. Oct 2012 A1
20120296325 Takashino Nov 2012 A1
20120296371 Kappus et al. Nov 2012 A1
20130023925 Mueller Jan 2013 A1
20130085510 Stefanchik et al. Apr 2013 A1
20130103031 Garrison Apr 2013 A1
20130123776 Monson et al. May 2013 A1
20130158659 Bergs et al. Jun 2013 A1
20130158660 Bergs et al. Jun 2013 A1
20130165929 Muir et al. Jun 2013 A1
20130190760 Allen, IV et al. Jul 2013 A1
20130214025 Zemlok et al. Aug 2013 A1
20130253256 Griffith et al. Sep 2013 A1
20130253480 Kimball et al. Sep 2013 A1
20130267874 Marcotte et al. Oct 2013 A1
20130267943 Hancock Oct 2013 A1
20130277410 Fernandez et al. Oct 2013 A1
20130296843 Boudreaux et al. Nov 2013 A1
20130321425 Greene et al. Dec 2013 A1
20130334989 Kataoka Dec 2013 A1
20130345701 Allen, IV et al. Dec 2013 A1
20140001231 Shelton, IV et al. Jan 2014 A1
20140001234 Shelton, IV et al. Jan 2014 A1
20140005640 Shelton, IV et al. Jan 2014 A1
20140005663 Heard et al. Jan 2014 A1
20140005678 Shelton, IV et al. Jan 2014 A1
20140005702 Timm et al. Jan 2014 A1
20140005705 Weir et al. Jan 2014 A1
20140005718 Shelton, IV et al. Jan 2014 A1
20140014544 Bugnard et al. Jan 2014 A1
20140077426 Park Mar 2014 A1
20140121569 Schafer et al. May 2014 A1
20140135804 Weisenburgh, II et al. May 2014 A1
20140163541 Shelton, IV et al. Jun 2014 A1
20140163549 Yates et al. Jun 2014 A1
20140180274 Kabaya et al. Jun 2014 A1
20140194868 Sanai et al. Jul 2014 A1
20140194874 Dietz et al. Jul 2014 A1
20140194875 Reschke et al. Jul 2014 A1
20140207124 Aldridge et al. Jul 2014 A1
20140207135 Winter Jul 2014 A1
20140221994 Reschke Aug 2014 A1
20140236152 Walberg et al. Aug 2014 A1
20140246475 Hall et al. Sep 2014 A1
20140249557 Koch, Jr. et al. Sep 2014 A1
20140263541 Leimbach et al. Sep 2014 A1
20140263552 Hall et al. Sep 2014 A1
20140276794 Batchelor et al. Sep 2014 A1
20140276797 Batchelor et al. Sep 2014 A1
20140276798 Batchelor et al. Sep 2014 A1
20140303612 Williams Oct 2014 A1
20140357984 Wallace et al. Dec 2014 A1
20140373003 Grez et al. Dec 2014 A1
20150014392 Williams et al. Jan 2015 A1
20150025528 Arts Jan 2015 A1
20150032150 Ishida et al. Jan 2015 A1
20150048140 Penna et al. Feb 2015 A1
20150066027 Garrison et al. Mar 2015 A1
20150080876 Worrell et al. Mar 2015 A1
20150080887 Sobajima et al. Mar 2015 A1
20150088122 Jensen Mar 2015 A1
20150100056 Nakamura Apr 2015 A1
20150112335 Boudreaux et al. Apr 2015 A1
20150119901 Steege Apr 2015 A1
20150157356 Gee Jun 2015 A1
20150164533 Felder et al. Jun 2015 A1
20150164534 Felder et al. Jun 2015 A1
20150164535 Felder et al. Jun 2015 A1
20150164536 Czarnecki et al. Jun 2015 A1
20150164537 Cagle et al. Jun 2015 A1
20150164538 Aldridge et al. Jun 2015 A1
20150230796 Calderoni Aug 2015 A1
20150238260 Nau, Jr. Aug 2015 A1
20150272557 Overmyer et al. Oct 2015 A1
20150272571 Leimbach et al. Oct 2015 A1
20150272580 Leimbach et al. Oct 2015 A1
20150272581 Leimbach et al. Oct 2015 A1
20150272582 Leimbach et al. Oct 2015 A1
20150272659 Boudreaux et al. Oct 2015 A1
20150282879 Ruelas Oct 2015 A1
20150289364 Ilkko et al. Oct 2015 A1
20150313667 Allen, IV Nov 2015 A1
20150317899 Dumbauld et al. Nov 2015 A1
20150351765 Valentine et al. Dec 2015 A1
20150351857 Vander Poorten et al. Dec 2015 A1
20150374430 Weiler et al. Dec 2015 A1
20150374457 Colby Dec 2015 A1
20160000437 Giordano et al. Jan 2016 A1
20160038228 Daniel et al. Feb 2016 A1
20160044841 Chamberlain Feb 2016 A1
20160045248 Unger et al. Feb 2016 A1
20160051314 Batchelor et al. Feb 2016 A1
20160051316 Boudreaux Feb 2016 A1
20160066909 Swayze et al. Mar 2016 A1
20160066913 Swayze et al. Mar 2016 A1
20160120601 Boudreaux et al. May 2016 A1
20160175025 Strobl Jun 2016 A1
20160175029 Witt et al. Jun 2016 A1
20160206342 Robertson et al. Jul 2016 A1
20160249910 Shelton, IV et al. Sep 2016 A1
20160262786 Madan et al. Sep 2016 A1
20160270842 Strobl et al. Sep 2016 A1
20160296251 Olson et al. Oct 2016 A1
20160296252 Olson et al. Oct 2016 A1
20160296270 Strobl et al. Oct 2016 A1
20160331455 Hancock et al. Nov 2016 A1
20160358849 Jur et al. Dec 2016 A1
20170065331 Mayer et al. Mar 2017 A1
20170086909 Yates et al. Mar 2017 A1
20170119426 Akagane May 2017 A1
20170135751 Rothweiler et al. May 2017 A1
20170164972 Johnson et al. Jun 2017 A1
20170164997 Johnson et al. Jun 2017 A1
20170189095 Danziger et al. Jul 2017 A1
20170202595 Shelton, IV Jul 2017 A1
20170224332 Hunter et al. Aug 2017 A1
20170224405 Takashino et al. Aug 2017 A1
20170231628 Shelton, IV et al. Aug 2017 A1
20170281186 Shelton, IV et al. Oct 2017 A1
20170296169 Yates et al. Oct 2017 A1
20170296177 Harris et al. Oct 2017 A1
20170296180 Harris et al. Oct 2017 A1
20170303954 Ishii Oct 2017 A1
20170312018 Trees et al. Nov 2017 A1
20170325874 Noack et al. Nov 2017 A1
20170333073 Faller et al. Nov 2017 A1
20170348043 Wang et al. Dec 2017 A1
20170348044 Wang et al. Dec 2017 A1
20170367772 Gunn et al. Dec 2017 A1
20180014872 Dickerson Jan 2018 A1
20180098785 Price et al. Apr 2018 A1
20180132850 Leimbach et al. May 2018 A1
20180146976 Clauda et al. May 2018 A1
20180168575 Simms et al. Jun 2018 A1
20180168577 Aronhalt et al. Jun 2018 A1
20180168579 Aronhalt et al. Jun 2018 A1
20180168598 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
20180168615 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
20180168633 Shelton, IV et al. Jun 2018 A1
20180168647 Shelton, IV et al. Jun 2018 A1
20180168648 Shelton, IV et al. Jun 2018 A1
20180168650 Shelton, IV et al. Jun 2018 A1
20180188125 Park et al. Jul 2018 A1
20180206904 Felder et al. Jul 2018 A1
20180221045 Zimmerman et al. Aug 2018 A1
20180235691 Voegele et al. Aug 2018 A1
20180250066 Ding et al. Sep 2018 A1
20180289432 Kostrzewski et al. Oct 2018 A1
20180303493 Chapolini Oct 2018 A1
20180325517 Wingardner et al. Nov 2018 A1
20180333179 Weisenburgh, II et al. Nov 2018 A1
20180353245 Mccloud et al. Dec 2018 A1
20180368844 Bakos et al. Dec 2018 A1
20190000459 Shelton, IV et al. Jan 2019 A1
20190000461 Shelton, IV et al. Jan 2019 A1
20190000475 Shelton, IV et al. Jan 2019 A1
20190000477 Shelton, IV et al. Jan 2019 A1
20190029746 Dudhedia et al. Jan 2019 A1
20190038283 Shelton, IV et al. Feb 2019 A1
20190053818 Nelson et al. Feb 2019 A1
20190104919 Shelton, IV et al. Apr 2019 A1
20190105067 Boudreaux et al. Apr 2019 A1
20190117293 Kano et al. Apr 2019 A1
20190125384 Scheib et al. May 2019 A1
20190125390 Shelton, IV et al. May 2019 A1
20190175258 Tsuruta Jun 2019 A1
20190183504 Shelton, IV et al. Jun 2019 A1
20190200844 Shelton, IV et al. Jul 2019 A1
20190200977 Shelton, IV et al. Jul 2019 A1
20190200981 Harris et al. Jul 2019 A1
20190200987 Shelton, IV et al. Jul 2019 A1
20190201030 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
20190201048 Stulen et al. Jul 2019 A1
20190201104 Shelton, IV et al. Jul 2019 A1
20190201136 Shelton, IV et al. Jul 2019 A1
20190201137 Shelton, IV et al. Jul 2019 A1
20190201594 Shelton, IV et al. Jul 2019 A1
20190206562 Shelton, IV et al. Jul 2019 A1
20190206564 Shelton, IV et al. Jul 2019 A1
20190206569 Shelton, IV et al. Jul 2019 A1
20190209201 Boudreaux et al. Jul 2019 A1
20190223941 Kitamura et al. Jul 2019 A1
20190262030 Faller et al. Aug 2019 A1
20190269455 Mensch et al. Sep 2019 A1
20190274700 Robertson et al. Sep 2019 A1
20190282288 Boudreaux Sep 2019 A1
20190290265 Shelton, IV et al. Sep 2019 A1
20190298350 Shelton, IV et al. Oct 2019 A1
20190298353 Shelton, IV et al. Oct 2019 A1
20190366562 Zhang et al. Dec 2019 A1
20190388091 Eschbach et al. Dec 2019 A1
20200030021 Yates et al. Jan 2020 A1
20200054321 Harris et al. Feb 2020 A1
20200054382 Yates et al. Feb 2020 A1
20200078076 Henderson et al. Mar 2020 A1
20200078085 Yates et al. Mar 2020 A1
20200078609 Messerly et al. Mar 2020 A1
20200085465 Timm et al. Mar 2020 A1
20200100825 Henderson et al. Apr 2020 A1
20200100830 Henderson et al. Apr 2020 A1
20200129261 Eschbach Apr 2020 A1
20200138473 Shelton, IV et al. May 2020 A1
20200188047 Itkowitz et al. Jun 2020 A1
20200222111 Yates et al. Jul 2020 A1
20200222112 Hancock et al. Jul 2020 A1
20200229833 Vakharia et al. Jul 2020 A1
20200229834 Olson et al. Jul 2020 A1
20200237434 Scheib et al. Jul 2020 A1
20200261086 Zeiner et al. Aug 2020 A1
20200261141 Wiener et al. Aug 2020 A1
20200305870 Shelton, IV Oct 2020 A1
20200315623 Eisinger et al. Oct 2020 A1
20200315712 Jasperson et al. Oct 2020 A1
20200338370 Wiener et al. Oct 2020 A1
20200405296 Shelton, IV et al. Dec 2020 A1
20200405302 Shelton, IV et al. Dec 2020 A1
20200405316 Shelton, IV et al. Dec 2020 A1
20200405409 Shelton, IV et al. Dec 2020 A1
20200405410 Shelton, IV Dec 2020 A1
20200405439 Shelton, IV et al. Dec 2020 A1
20200410177 Shelton, IV Dec 2020 A1
20210052313 Shelton, IV et al. Feb 2021 A1
20210100578 Weir et al. Apr 2021 A1
20210100579 Shelton, IV et al. Apr 2021 A1
20210153927 Ross et al. May 2021 A1
20210177481 Shelton, IV et al. Jun 2021 A1
20210177494 Houser et al. Jun 2021 A1
20210177496 Shelton, IV et al. Jun 2021 A1
20210186492 Shelton, IV et al. Jun 2021 A1
20210186493 Shelton, IV et al. Jun 2021 A1
20210186495 Shelton, IV et al. Jun 2021 A1
20210186497 Shelton, IV et al. Jun 2021 A1
20210186498 Boudreaux et al. Jun 2021 A1
20210186499 Shelton, IV et al. Jun 2021 A1
20210186501 Shelton, IV et al. Jun 2021 A1
20210186502 Shelton, IV et al. Jun 2021 A1
20210186553 Green et al. Jun 2021 A1
20210186554 Green et al. Jun 2021 A1
20210196263 Shelton, IV et al. Jul 2021 A1
20210196265 Shelton, IV et al. Jul 2021 A1
20210196266 Shelton, IV et al. Jul 2021 A1
20210196267 Shelton, IV et al. Jul 2021 A1
20210196268 Shelton, IV et al. Jul 2021 A1
20210196269 Shelton, IV et al. Jul 2021 A1
20210196270 Shelton, IV et al. Jul 2021 A1
20210196271 Shelton, IV et al. Jul 2021 A1
20210196301 Shelton, IV et al. Jul 2021 A1
20210196302 Shelton, IV et al. Jul 2021 A1
20210196305 Strobl Jul 2021 A1
20210196306 Estera et al. Jul 2021 A1
20210196307 Shelton, IV Jul 2021 A1
20210196334 Sarley et al. Jul 2021 A1
20210196335 Messerly et al. Jul 2021 A1
20210196336 Faller et al. Jul 2021 A1
20210196343 Shelton, IV et al. Jul 2021 A1
20210196344 Shelton, IV et al. Jul 2021 A1
20210196345 Messerly et al. Jul 2021 A1
20210196346 Leuck et al. Jul 2021 A1
20210196349 Fiebig et al. Jul 2021 A1
20210196350 Fiebig et al. Jul 2021 A1
20210196351 Sarley et al. Jul 2021 A1
20210196352 Messerly et al. Jul 2021 A1
20210196353 Gee et al. Jul 2021 A1
20210196354 Shelton, IV et al. Jul 2021 A1
20210196355 Shelton, IV et al. Jul 2021 A1
20210196356 Shelton, IV et al. Jul 2021 A1
20210196357 Shelton, IV et al. Jul 2021 A1
20210196358 Shelton, IV et al. Jul 2021 A1
20210196359 Shelton, IV et al. Jul 2021 A1
20210196360 Shelton, IV et al. Jul 2021 A1
20210196361 Shelton, IV et al. Jul 2021 A1
20210196362 Shelton, IV et al. Jul 2021 A1
20210196363 Shelton, IV et al. Jul 2021 A1
20210196364 Shelton, IV et al. Jul 2021 A1
20210196365 Shelton, IV et al. Jul 2021 A1
20210196366 Shelton, IV et al. Jul 2021 A1
20210196367 Salguero et al. Jul 2021 A1
20210212744 Shelton, IV et al. Jul 2021 A1
20210220036 Shelton, IV et al. Jul 2021 A1
20210236195 Asher et al. Aug 2021 A1
20210282804 Worrell et al. Sep 2021 A1
20210393288 Shelton, IV et al. Dec 2021 A1
20210393314 Wiener et al. Dec 2021 A1
20210393319 Shelton, IV et al. Dec 2021 A1
20220039891 Stulen et al. Feb 2022 A1
20220071655 Price et al. Mar 2022 A1
20220168005 Aldridge et al. Jun 2022 A1
20220168039 Worrell et al. Jun 2022 A1
20220226014 Clauda, IV et al. Jul 2022 A1
20220304736 Boudreaux Sep 2022 A1
20220313297 Aldridge et al. Oct 2022 A1
20220346863 Yates et al. Nov 2022 A1
20220387067 Faller et al. Dec 2022 A1
20230038162 Timm et al. Feb 2023 A1
20230048996 Vakharia et al. Feb 2023 A1
Foreign Referenced Citations (174)
Number Date Country
2535467 Apr 1993 CA
2460047 Nov 2001 CN
1634601 Jul 2005 CN
1775323 May 2006 CN
1922563 Feb 2007 CN
2868227 Feb 2007 CN
201029899 Mar 2008 CN
101474081 Jul 2009 CN
101516285 Aug 2009 CN
101522112 Sep 2009 CN
102100582 Jun 2011 CN
102149312 Aug 2011 CN
202027624 Nov 2011 CN
102792181 Nov 2012 CN
103281982 Sep 2013 CN
103379853 Oct 2013 CN
203468630 Mar 2014 CN
104001276 Aug 2014 CN
104013444 Sep 2014 CN
104434298 Mar 2015 CN
107374752 Nov 2017 CN
3904558 Aug 1990 DE
9210327 Nov 1992 DE
4300307 Jul 1994 DE
29623113 Oct 1997 DE
20004812 Sep 2000 DE
20021619 Mar 2001 DE
10042606 Aug 2001 DE
10201569 Jul 2003 DE
102012109037 Apr 2014 DE
0171967 Feb 1986 EP
0336742 Oct 1989 EP
0136855 Nov 1989 EP
0705571 Apr 1996 EP
1698289 Sep 2006 EP
1862133 Dec 2007 EP
1972264 Sep 2008 EP
2060238 May 2009 EP
1747761 Oct 2009 EP
2131760 Dec 2009 EP
1214913 Jul 2010 EP
1946708 Jun 2011 EP
1767164 Jan 2013 EP
2578172 Apr 2013 EP
2668922 Dec 2013 EP
2076195 Dec 2015 EP
2510891 Jun 2016 EP
3476302 May 2019 EP
3476331 May 2019 EP
3694298 Aug 2020 EP
2032221 Apr 1980 GB
2317566 Apr 1998 GB
S50100891 Aug 1975 JP
S5968513 May 1984 JP
S59141938 Aug 1984 JP
S62221343 Sep 1987 JP
S62227343 Oct 1987 JP
S62292153 Dec 1987 JP
S62292154 Dec 1987 JP
S63109386 May 1988 JP
S63315049 Dec 1988 JP
H01151452 Jun 1989 JP
H01198540 Aug 1989 JP
H0271510 May 1990 JP
H02286149 Nov 1990 JP
H02292193 Dec 1990 JP
H0337061 Feb 1991 JP
H0425707 Feb 1992 JP
H0464351 Feb 1992 JP
H0430508 Mar 1992 JP
H04152942 May 1992 JP
H 0541716 Feb 1993 JP
H0576482 Mar 1993 JP
H0595955 Apr 1993 JP
H05115490 May 1993 JP
H0670938 Mar 1994 JP
H06104503 Apr 1994 JP
H0824266 Jan 1996 JP
H08229050 Sep 1996 JP
H08275951 Oct 1996 JP
H08299351 Nov 1996 JP
H08336545 Dec 1996 JP
H09130655 May 1997 JP
H09135553 May 1997 JP
H09140722 Jun 1997 JP
H105237 Jan 1998 JP
10127654 May 1998 JP
H10295700 Nov 1998 JP
H11128238 May 1999 JP
H11169381 Jun 1999 JP
2000210299 Aug 2000 JP
2000271142 Oct 2000 JP
2000271145 Oct 2000 JP
2000287987 Oct 2000 JP
2001029353 Feb 2001 JP
2002059380 Feb 2002 JP
2002186901 Jul 2002 JP
2002263579 Sep 2002 JP
2002330977 Nov 2002 JP
2003000612 Jan 2003 JP
2003010201 Jan 2003 JP
2003116870 Apr 2003 JP
2003126104 May 2003 JP
2003126110 May 2003 JP
2003153919 May 2003 JP
2003339730 Dec 2003 JP
2004129871 Apr 2004 JP
2004147701 May 2004 JP
2005003496 Jan 2005 JP
2005027026 Jan 2005 JP
2005074088 Mar 2005 JP
2005337119 Dec 2005 JP
2006068396 Mar 2006 JP
2006081664 Mar 2006 JP
2006114072 Apr 2006 JP
2006217716 Aug 2006 JP
2006288431 Oct 2006 JP
2007037568 Feb 2007 JP
200801876 Jan 2008 JP
200833644 Feb 2008 JP
2008188160 Aug 2008 JP
D1339835 Aug 2008 JP
2010009686 Jan 2010 JP
2010121865 Jun 2010 JP
2012071186 Apr 2012 JP
2012235658 Nov 2012 JP
2013126430 Jun 2013 JP
100789356 Dec 2007 KR
101298237 Aug 2013 KR
2154437 Aug 2000 RU
22035 Mar 2002 RU
2201169 Mar 2003 RU
2405603 Dec 2010 RU
2013119977 Nov 2014 RU
850068 Jul 1981 SU
WO-8103272 Nov 1981 WO
WO-9308757 May 1993 WO
WO-9314708 Aug 1993 WO
WO-9421183 Sep 1994 WO
WO-9424949 Nov 1994 WO
WO-9639086 Dec 1996 WO
WO-9712557 Apr 1997 WO
WO-9800069 Jan 1998 WO
WO-9840015 Sep 1998 WO
WO-9920213 Apr 1999 WO
WO-9923960 May 1999 WO
WO-0024330 May 2000 WO
WO-0064358 Nov 2000 WO
WO-0128444 Apr 2001 WO
WO-0167970 Sep 2001 WO
WO-0172251 Oct 2001 WO
WO-0195810 Dec 2001 WO
WO-02080793 Oct 2002 WO
WO-03095028 Nov 2003 WO
WO-2004037095 May 2004 WO
WO-2004078051 Sep 2004 WO
WO-2004098426 Nov 2004 WO
WO-2006091494 Aug 2006 WO
WO-2007008710 Jan 2007 WO
WO-2008118709 Oct 2008 WO
WO-2008130793 Oct 2008 WO
WO-2010027109 Mar 2010 WO
WO-2010104755 Sep 2010 WO
WO-2011008672 Jan 2011 WO
WO-2011044343 Apr 2011 WO
WO-2011052939 May 2011 WO
WO-2011060031 May 2011 WO
WO-2012044606 Apr 2012 WO
WO-2012061722 May 2012 WO
WO-2012088535 Jun 2012 WO
WO-2012150567 Nov 2012 WO
WO-2016130844 Aug 2016 WO
WO-2019130090 Jul 2019 WO
WO-2019130113 Jul 2019 WO
Non-Patent Literature Citations (56)
Entry
Amoczky et al., “Thermal Modification of Conective Tissues: Basic Science Considerations and Clinical Implications,” J. Am Acad Orthop Surg, vol. 8, No. 5, pp. 305-313 (Sep./Oct. 2000).
Hörmann et al., “Reversible and irreversible denaturation of collagen fibers.” Biochemistry, 10, pp. 932-937 (1971).
Technology Overview, printed from www.harmonicscalpel.com, Internet site, website accessed on Jun. 13, 2007, (3 pages).
Sherrit et al., “Novel Horn Designs for Ultrasonic/Sonic Cleaning Welding, Soldering, Cutting and Drilling,” Proc. SPIE Smart Structures Conference, vol. 4701, Paper No. 34, San Diego, CA, pp. 353-360, Mar. 2002.
Lim et al., “A Review of Mechanism Used in Laparoscopic Surgical Instruments,” Mechanism and Machine Theory, vol. 38, pp. 1133-1147, (2003).
Gooch et al., “Recommended Infection-Control Practices for Dentistry, 1993,” Published: May 28, 1993; [retrieved on Aug. 23, 2008], Retrieved from the internet: URL: http//wonder.cdc.gov/wonder/prevguid/p0000191/p0000191.asp (15 pages).
Dean, D.A., “Electrical Impedance Spectroscopy Study of Biological Tissues,” J. Electrostat, 66(3-4), Mar. 2008, pp. 165-177. Accessed Apr. 10, 2018: https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2597841/.
Covidien Brochure, The LigaSure Precise™ Instrument, dated Mar. 2011 (2 pages).
AST Products, Inc., “Principles of Video Contact Angle Analysis,” 20 pages, (2006).
Chen et al., “Heat-Induced Changes in the Mechanics of a Collagenous Tissue: Isothermal Free Shrinkage,” Transactions of the ASME, vol. 119, pp. 372-378 (Nov. 1997).
Chen et al., “Heat-Induced Changes in the Mechanics of a Collagenous Tissue: Isothermal, Isotonic Shrinkage,” Transactions of the ASME, vol. 120, pp. 382-388 (Jun. 1998).
Chen et al., “Heat-induced changes in the mechanics of a collagenous tissue: pseudoelastic behavior at 37° C,” Journal of Biomechanics, 31, pp. 211-216 (1998).
Chen et al., “Phenomenological Evolution Equations for Heat-Induced Shrinkage of a Collagenous Tissue,” IEEE Transactions on Biomedical Engineering, vol. 45, No. 10, pp. 1234-1240 (Oct. 1998).
Moraleda et al., A Temperature Sensor Based on a Polymer Optical Fiber Macro-Bend, Sensors 2013, 13, 13076-13089, doi: 10.3390/S131013076, ISSN 1424-8220.
Leonard I. Malis, M.D., “The Value of Irrigation During Bipolar Coagulation,” 1989.
Huston et al., “Magnetic and Magnetostrictive Properties of Cube Textured Nickel for Magnetostrictive Transducer Applications,” IEEE Transactions on Magnetics, vol. 9(4), pp. 636-640 (Dec. 1973).
Orr et al., “Overview of Bioheat Transfer,” pp. 367-384 in Optical-Thermal Response of Laser-Irradiated Tissue, A. J. Welch and M. J. C. van Gemert, eds., Plenum, New York (1995).
Incropera et al., Fundamentals of Heat and Mass Transfer, Wiley, New York (1990). (Book--not attached).
F. A. Duck, “Optical Properties of Tissue Including Ultraviolet and Infrared Radiation,” pp. 43-71 in Physical Properties of Tissue (1990).
Campbell et al., “Thermal Imaging in Surgery,” p. 19-3, in Medical Infrared Imaging, N. A. Diakides and J. D. Bronzino, Eds. (2008).
Gerhard, Glen C., “Surgical Electrotechnology: Quo Vadis?,” IEEE Transactions on Biomedical Engineering, vol. BME-31, No. 12, pp. 787-792, Dec. 1984.
Fowler, K.R., “A Programmable, Arbitrary Waveform Electrosurgical Device,” IEEE Engineering in Medicine and Biology Society 10th Annual International Conference, pp. 1324, 1325 (1988).
Sullivan, “Cost-Constrained Selection of Strand Diameter and No. in a Litz-Wire Transformer Winding,” IEEE Transactions on Power Electronics, vol. 16, No. 2, Mar. 2001, pp. 281-288.
Graff, K.F., “Elastic Wave Propagation in a Curved Sonic Transmission Line,” IEEE Transactions on Sonics and Ultrasonics, SU-17(1), 1-6 (1970).
Makarov, S. N., Ochmann, M., Desinger, K., “The longitudinal vibration response of a curved fiber used for laser ultrasound surgical therapy,” Journal of the Acoustical Society of America 102, 1191-1199 (1997).
Morley, L. S. D., “Elastic Waves in a Naturally Curved Rod,” Quarterly Journal of Mechanics and Applied Mathematics, 14: 155-172 (1961).
Walsh, S. J., White, R. G., “Vibrational Power Transmission in Curved Beams,” Journal of Sound and Vibration, 233(3), 455-488 (2000).
Covidien Brochure, [Value Analysis Brief], LigaSure Advance™ Pistol Grip, dated Rev. Apr. 2010 (7 pages).
Wright, et al., “Time-Temperature Equivalence of Heat-Induced Changes in Cells and Proteins,” Feb. 1998. ASME Journal of Biomechanical Engineering, vol. 120, pp. 22-26.
Covidien Brochure, LigaSure Impact™ Instrument LF4318, dated Feb. 2013 (3 pages).
Covidien Brochure, LigaSure Atlas™ Hand Switching Instruments, dated Dec. 2008 (2 pages).
Covidien Brochure, The LigaSure™ 5 mm Blunt Tip Sealer/Divider Family, dated Apr. 2013 (2 pages).
Erbe Electrosurgery VIO® 200 S, (2012), p. 7, 12 pages, accessed Mar. 31, 2014 at http://www.erbe-med. com/erbe/media/Marketing materialien/85140170 ERBE EN VIO 200 S D027541.
Jang, J. et al. “Neuro-fuzzy and Soft Computing.” Prentice Hall, 1997, pp. 13-89, 199-293, 335-393, 453-496, 535-549.
Sullivan, “Optimal Choice for Number of Strands in a Litz-Wire Transformer Winding,” IEEE Transactions on Power Electronics, vol. 14, No. 2, Mar. 1999, pp. 283-291.
Weir, C.E., “Rate of shrinkage of tendon collagen—heat, entropy and free energy of activation of the shrinkage of untreated tendon. Effect of acid salt, pickle, and tannage on the activation of tendon collagen.” Journal of the American Leather Chemists Association, 44, pp. 108-140 (1949).
Henriques. F.C., “Studies in thermal injury V. The predictability and the significance of thermally induced rate processes leading to irreversible epidermal injury.” Archives of Pathology, 434, pp. 489-502 (1947).
Wall et al., “Thermal modification of collagen,” J Shoulder Elbow Surg, No. 8, pp. 339-344 (Jul./Aug. 1999).
Harris et al., “Kinetics of Thermal Damage to a Collagenous Membrane Under Biaxial Isotonic Loading,” IEEE Transactions on Biomedical Engineering, vol. 51, No. 2, pp. 371-379 (Feb. 2004).
Harris et al., “Altered Mechanical Behavior of Epicardium Due to Isothermal Heating Under Biaxial Isotonic Loads,” Journal of Biomechanical Engineering, vol. 125, pp. 381-388 (Jun. 2003).
Lee et al., “A multi-sample denaturation temperature tester for collagenous biomaterials,” Med. Eng. Phy., vol. 17, No. 2, pp. 115-121 (Mar. 1995).
Moran et al., “Thermally Induced Shrinkage of Joint Capsule,” Clinical Orthopaedics and Related Research, No. 281, pp. 248-255 (Dec. 2000).
Wells et al., “Altered Mechanical Behavior of Epicardium Under Isothermal Biaxial Loading,” Transactions of the ASME, Journal of Biomedical Engineering, vol. 126, pp. 492-497 (Aug. 2004).
Gibson, “Magnetic Refrigerator Successfully Tested,” U.S. Department of Energy Research News, accessed online on Aug. 6, 2010 at http://www.eurekalert.org/features/doe/2001-11/dl-mrs062802.php (Nov. 1, 2001).
Humphrey, J.D., “Continuum Thermomechanics and the Clinical Treatment of Disease and Injury,” Appl. Mech. Rev., vol. 56, No. 2 pp. 231-260 (Mar. 2003).
National Semiconductors Temperature Sensor Handbook—http://www.national.com/appinfo/tempsensors/files/temphb.pdf; accessed online: Apr. 1, 2011.
Hayashi et al., “The Effect of Thermal Heating on the Length and Histologic Properties of the Glenohumeral Joint Capsule,” American Journal of Sports Medicine, vol. 25, Issue 1, 11 pages (Jan. 1997), URL: http://www.mdconsult.com/das/article/body/156183648-2/jorg=journal&source=MI&sp=1 . . . , accessed Aug. 25, 2009.
Douglas, S.C. “Introduction to Adaptive Filter”. Digital Signal Processing Handbook. Ed. Vijay K. Madisetti and Douglas B. Williams. Boca Raton: CRC Press LLC, 1999.
Kurt Gieck & Reiner Gieck, Engineering Formulas § Z.7 (7th ed. 1997).
Glaser and Subak-Sharpe,Integrated Circuit Engineering, Addison-Wesley Publishing, Reading, MA (1979). (book--not attached).
Covidien 501 (k) Summary Sonicision, dated Feb. 24, 2011 (7 pages).
LaCourse, J.R.; Vogt, M.C.; Miller, W.T., III; Selikowitz, S.M., “Spectral Analysis Interpretation of Electrosurgical Generator Nerve and Muscle Stimulation,” IEEE Transactions on Biomedical Engineering, vol. 35, No. 7, pp. 505-509, Jul. 1988.
https://www.kjmagnetics.com/fieldcalculator.asp, retrieved Jul. 11, 2016, backdated to Nov. 11, 2011 via https://web.archive.org/web/20111116164447/http://www.kjmagnetics.com/fieldcalculator.asp.
IEEE Std 802.Mar. 2012 (Revision of IEEE Std 802.Mar. 2008, published Dec. 28, 2012.
“ATM-MPLS Network Interworking Version 2.0, af-aic-0178.001” ATM Standard, The ATM Forum Technical Committee, published Aug. 2003.
Missinne, et al. “Stretchable Optical Waveguides,” vol. 22, No. 4, Feb. 18, 2014, pp. 4168-4179 (12 pages).
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Parent 15265279 Sep 2016 US
Child 16804841 US