Software algorithms for electrosurgical instruments

Abstract
A surgical system includes a module for compiling a plurality of operational parameters of the surgical system during a plurality of treatment cycles performed by the surgical system. The module includes a processor and a memory unit, the processor configured to store in the memory unit values of the plurality of operational parameters associated with each of the plurality of treatment cycles, wherein the processor is configured to identify a subset of the stored values of the plurality of operational parameters temporally proximate to an intervening event.
Description
BACKGROUND

The present disclosure relates to surgical instruments and generators for supplying energy to surgical instruments, for use in open or minimally invasive surgical environments.


In various open, endoscopic, and/or laparoscopic surgeries, for example, it may be desirable to coagulate, seal, and/or fuse tissue. One method of sealing tissue relies upon the application of energy to tissue captured or clamped within an end effector or an end-effector assembly of a surgical instrument in order to cause thermal effects within the tissue. Various electrosurgical surgical instruments and Ultrasonic surgical instruments have been developed for such purposes. In general, the delivery of energy to captured tissue can elevate the temperature of the tissue and, as a result, the energy can at least partially denature proteins within the tissue. Such proteins, like collagen, for example, can be denatured into a proteinaceous amalgam that intermixes and fuses, or seals, together as the proteins renature. As the treated region heals over time, this biological seal may be reabsorbed by the body's wound healing process.


Depending upon specific device configurations and operational parameters, ultrasonic surgical devices can provide substantially simultaneous transection of tissue and homeostasis by coagulation, desirably minimizing patient trauma. An ultrasonic surgical device may comprise a handpiece containing an ultrasonic transducer, and an instrument coupled to the ultrasonic transducer having a distally-mounted end effector (e.g., a blade tip) to cut and seal tissue. In some cases, the instrument may be permanently affixed to the handpiece. In other cases, the instrument may be detachable from the handpiece, as in the case of a disposable instrument or an instrument that is interchangeable between different handpieces. The end effector transmits ultrasonic energy to tissue brought into contact with the end effector to realize cutting and sealing action. Ultrasonic surgical devices of this nature can be configured for open surgical use, laparoscopic, or endoscopic surgical procedures including robotic-assisted procedures.


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 can be used in connection with a generator which may supply energy to the electrosurgical device. An electrosurgical device may comprise a handpiece and 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 flow 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 may also comprise a cutting member that is movable relative to the tissue and the electrodes to transect the tissue.


The foregoing discussion is intended only to illustrate various aspects of the related art and should not be taken as a disavowal of claim scope.





BRIEF DESCRIPTION OF THE DRAWINGS

The features and advantages of this invention, and the manner of attaining them, will become more apparent and the invention itself will be better understood by reference to the following description of embodiments of the invention taken in conjunction with the accompanying drawings, wherein:



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



FIG. 2 illustrates one embodiment of an example ultrasonic device that may be used for transection and/or sealing;



FIG. 3 illustrates one embodiment of an end effector of the example ultrasonic device of FIG. 2.



FIG. 4 illustrates one embodiment of an example electrosurgical device that may also be used for transection and sealing;



FIGS. 5, 6 and 7 illustrate one embodiment of the end effector shown in FIG. 4;



FIG. 8 is a diagram of the surgical system of FIG. 1;



FIG. 9 illustrates a block diagram of a surgical system comprising a generator and a controller in accordance with certain embodiments described herein;



FIG. 9A illustrates a block diagram of a surgical system comprising a generator and a controller in accordance with certain embodiments described herein;



FIG. 10 illustrates a module for use with the system of FIG. 9;



FIG. 11 illustrates a module for use with the system of FIG. 9;



FIG. 12 illustrates a module for use with the system of FIG. 9;



FIG. 13 is an exemplary graph demonstrating an increasing trend in minimum cycle impedance;



FIG. 14 is an exemplary table format of a database;



FIG. 14A is an exemplary graph demonstrating power (P) supplied by the generator of FIG. 9A over treatment cycle time (T);



FIG. 15 illustrates a module for use with the system of FIG. 9A;



FIG. 15A illustrates a module for use with the system of FIG. 9A;



FIG. 15B illustrates a micro-usb connector for use with the system of FIG. 9A;



FIG. 16 illustrates a module for use with the system of FIG. 9A;



FIG. 17 illustrates a module for use with the system of FIG. 9A;



FIG. 18 illustrates a module for use with the system of FIG. 9A; and



FIG. 19 a block diagram of a surgical system comprising a generator and a controller in accordance with certain embodiments described herein.





DETAILED DESCRIPTION

Certain exemplary embodiments will now be described to provide an overall understanding of the principles of the structure, function, manufacture, and use of the devices and methods disclosed herein. One or more examples of these embodiments are illustrated in the accompanying drawings. Those of ordinary skill in the art will understand that the devices and methods specifically described herein and illustrated in the accompanying drawings are non-limiting exemplary embodiments and that the scope of the various embodiments of the present invention is defined solely by the claims. The features illustrated or described in connection with one exemplary embodiment may be combined with the features of other embodiments. Such modifications and variations are intended to be included within the scope of the present invention.


Various embodiments are directed to improved ultrasonic surgical devices, electrosurgical devices and generators for use therewith. Embodiments of the ultrasonic surgical devices can be configured for transecting and/or coagulating tissue during surgical procedures, for example. Embodiments of the electrosurgical devices can be configured for transecting, coagulating, scaling, welding, and/or desiccating tissue during surgical procedures, for example.


The terms “proximal” and “distal” are used herein with reference to a clinician manipulating the handle portion of the surgical instrument. The term “proximal” referring to the portion closest to the clinician and the term “distal” referring to the portion located away from the clinician. It will be further appreciated that, for convenience and clarity, spatial terms such as “vertical”, “horizontal”, “up”, and “down” may be used herein with respect to the drawings. However, surgical instruments are used in many orientations and positions, and these terms are not intended to be limiting and/or absolute.


The terms “comprise” (and any form of comprise, such as “comprises” and “comprising”), “have” (and any form of have, such as “has” and “having”), “include” (and any form of include, such as “includes” and “including”) and “contain” (and any form of contain, such as “contains” and “containing”) are open-ended linking verbs. As a result, a surgical system, device, or apparatus that “comprises,” “has,” “includes” or “contains” one or more elements possesses those one or more elements, but is not limited to possessing only those one or more elements. Likewise, an element of a system, device, or apparatus that “comprises,” “has,” “includes” or “contains” one or more features possesses those one or more features, but is not limited to possessing only those one or more features.


Turning to the Drawings wherein like numerals denote like components throughout the several views, FIG. 1 illustrates and exemplary surgical system 100 comprising a generator 102 configurable for use with surgical devices. According to various embodiments, the generator 102 may be configurable for use with surgical devices of different types, including, for example, ultrasonic surgical device 104 and electrosurgical or RF surgical device 106. Although in the embodiment of FIG. 1 the generator 102 is shown separate from the surgical devices 104, 106, in certain embodiments the generator 102 may be formed integrally with either of the surgical devices 104, 106 to form a unitary surgical system. In certain instances, the generator/device combination can be powered by an internal power source such as, for example, a battery. Accordingly, the generator/device combination can be a cordless system that may not need to be connected to an external power source, for example.



FIG. 2 illustrates an example ultrasonic device 104 that may be used for transection and/or sealing. The device 104 may comprise a hand piece 116 which may, in turn, comprise an ultrasonic transducer 114. The transducer 114 may be in electrical communication with the generator 102, for example, via a cable 122 (e.g., a multi-conductor cable). The transducer 114 may comprise piezoceramic elements, or other elements or components suitable for converting the electrical energy of a drive signal into mechanical vibrations. When activated by the generator 102, the ultrasonic transducer 114 may cause longitudinal vibration. The vibration may be transmitted through an instrument portion 124 of the device 104 (e.g., via a waveguide embedded in an outer sheath) to an end effector 126 of the instrument portion 124. The generator 102 may be activated to provide the drive signal to the transducer 114 in any suitable manner. The specific drive signal configuration may be controlled based upon, for example, EEPROM settings in the generator 102 and/or user power level selection(s). See, for example, U.S. Patent Application Publication No. 2011/0087216 A1, entitled SURGICAL GENERATOR FOR ULTRASONIC AND ELECTROSURGICAL DEVICES, filed Oct. 1, 2010, the entire disclosure of which is hereby incorporated by reference herein.



FIG. 3 illustrates one embodiment of the end effector 126 of the example ultrasonic device 104. The end effector 126 may comprise a blade 151 that may be coupled to the ultrasonic transducer 114 via the wave guide (not shown). When driven by the transducer 114, the blade 151 may vibrate and, when brought into contact with tissue, may cut and/or coagulate the tissue, as described herein. According to various embodiments, and as illustrated in FIG. 3, the end effector 126 may also comprise a clamp arm 155 that may be configured for cooperative action with the blade 151 of the end effector 126. With the blade 151, the clamp arm 155 may comprise a set of jaws 140. The clamp arm 155 may be pivotally connected at a distal end of a shaft 153 of the instrument portion 124. The clamp arm 155 may include a clamp arm tissue pad 163, which may be formed from TEFLON® or other suitable low-friction material. The pad 163 may be mounted for cooperation with the blade 151, with pivotal movement of the clamp arm 155 positioning the clamp pad 163 in substantially parallel relationship to, and in contact with, the blade 151. By this construction, a tissue bite to be clamped may be grasped between the tissue pad 163 and the blade 151. The tissue pad 163 may be provided with a sawtooth-like configuration including a plurality of axially spaced, proximally extending gripping teeth 161 to enhance the gripping of tissue in cooperation with the blade 151. The clamp arm 155 may transition from the open position shown in FIG. 3 to a closed position (with the clamp arm 155 in contact with or proximity to the blade 151) in any suitable manner. For example, the hand piece 116 may comprise a jaw closure trigger 138. When actuated by a clinician, the jaw closure trigger 138 may pivot the clamp arm 155 in any suitable manner.


The end effector 126 may also comprise a pair of electrodes 159, 157. The electrodes 159, 157 may be in communication with the generator 102, for example, via the cable 122. The electrodes 159, 157 may be used, for example, to measure an impedance of a tissue bite present between the clamp arm 155 and the blade 151. The generator 102 may provide a signal (e.g., a non-therapeutic signal) to the electrodes 159, 157. As will be described in more detail below, the impedance of the tissue bite may be found, for example, by monitoring the current, voltage, etc. of the signal.



FIG. 4 illustrates one embodiment of an example electrosurgical device 106 that may also be used for transection and sealing. According to various embodiments, the transection and sealing device 106 may comprise a hand piece assembly 130, a shaft 165 and an end effector 132. The shaft 165 may be rigid (e.g., for laparoscopic and/or open surgical application) or flexible, as shown, (e.g., for endoscopic application). In various embodiments, the shaft 165 may comprise one or more articulation points. The end effector 132 may comprise jaws 144 having a first jaw member 167 and a second jaw member 169. The first jaw member 167 and second jaw member 169 may be connected to a clevis 171, which, in turn, may be coupled to the shaft 165. A translating member 173 may extend within the shaft 165 from the end effector 132 to the hand piece 130. At the hand piece 130, the shaft 165 may be directly or indirectly coupled to a jaw closure trigger 142 (FIG. 4).


The jaw members 167, 169 of the end effector 132 may comprise respective electrodes 177, 179. The electrodes 177, 179 may be connected to the generator 102 via electrical leads 187a, 187b (FIG. 5) extending from the end effector 132 through the shaft 165 and hand piece 130 and ultimately to the generator 102 (e.g., by a multiconductor cable 128). The generator 102 may provide a drive signal to the electrodes 177, 179 to bring about a therapeutic effect to tissue present within the jaw members 167, 169. The electrodes 177, 179 may comprise an active electrode and a return electrode, wherein the active electrode and the return electrode can be positioned against, or adjacent to, the tissue to be treated such that current can flow from the active electrode to the return electrode through the tissue. As illustrated in FIG. 4, the end effector 132 is shown with the jaw members 167, 169 in an open position. A reciprocating blade 175 is illustrated between the jaw members 167, 169.



FIGS. 5, 6 and 7 illustrate one embodiment of the end effector 132 shown in FIG. 4. To close the jaws 144 of the end effector 132, a clinician may cause the jaw closure trigger 142 to pivot along arrow 183 from a first position to a second position. This may cause the jaws 144 to open and close according to any suitable method. For example, motion of the jaw closure trigger 142 may, in turn, cause the translating member 173 to translate within a bore 185 of the shaft 165. A distal portion of the translating member 173 may be coupled to a reciprocating member 197 such that distal and proximal motion of the translating member 173 causes corresponding distal and proximal motion of the reciprocating member. The reciprocating member 197 may have shoulder portions 191a, 191b, while the jaw members 167, 169 may have corresponding cam surfaces 189a, 189b. As the reciprocating member 197 is translated distally from the position shown in FIG. 6 to the position shown in FIG. 7, the shoulder portions 191a, 191b may contact the cam surfaces 189a, 189b, causing the jaw members 167, 169 to transition to the closed position. Also, in various embodiments, the blade 175 may be positioned at a distal end of the reciprocating member 197. As the reciprocating member extends to the fully distal position shown in FIG. 7, the blade 175 may be pushed through any tissue present between the jaw members 167, 169, in the process, severing it.


In use, a clinician may place the end effector 132 and close the jaws 144 around a tissue bite to be acted upon, for example, by pivoting the jaw closure trigger 142 along arrow 183 as described. Once the tissue bite is secure between the jaws 144, the clinician may initiate the provision of RF or other electro-surgical energy by the generator 102 and through the electrodes 177, 179. The provision of RF energy may be accomplished in any suitable way. See, for example, U.S. Patent Application Publication No. 2011/0087216 A1, entitled SURGICAL GENERATOR FOR ULTRASONIC AND ELECTROSURGICAL DEVICES, filed Oct. 1, 2010, the entire disclosure of which is hereby incorporated by reference herein.


The electrodes 177 and 179 may be used, for example, to measure impedance of a tissue bite present between the jaw members 167 and 169. The generator 102 may provide a signal (e.g., a non-therapeutic signal) to the electrodes 177 and 179. The impedance of the tissue bite may be found, for example, by monitoring the current, voltage, etc. of the signal. Alternatively, the jaw members 167 and 169 of the end effector 132 may comprise an additional pair of electrodes dedicated to measuring the impedance of a tissue bite present between the jaw members 167 and 169. The generator 102 may be in communication with such electrodes to provide the non-therapeutic signal.



FIG. 8 is a diagram of the surgical system 100 of FIG. 1. The generator 102 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 devices 104, 106. For example an ultrasonic generator module 108 may drive an ultrasonic device, such as the ultrasonic device 104. An electrosurgery/RF generator module 110 may drive the electrosurgical device 106. For example, the respective modules 108, 110 may generate respective drive signals for driving the surgical devices 104, 106. In various embodiments, the ultrasonic generator module 108 and/or the electrosurgery/RF generator module 110 each may be formed integrally with the generator 102. Alternatively, one or more of the modules 108, 110 may be provided as a separate circuit module electrically coupled to the generator 102. (The modules 108 and 110 are shown in phantom to illustrate this option.) Also, in some embodiments, the electrosurgery/RF generator module 110 may be formed integrally with the ultrasonic generator module 108, or vice versa. See, for example, U.S. Patent Application Publication No. 2011/0087216 A1, entitled SURGICAL GENERATOR FOR ULTRASONIC AND ELECTROSURGICAL DEVICES, filed Oct. 1, 2010, the entire disclosure of which is hereby incorporated by reference herein. In certain instances, the surgical system 100 may comprise one or more modules which can be employed with multiple surgical instruments. For example, a module can be employed with an ultrasonic device, such as the ultrasonic device 104 and can be employed with an electrosurgical device such as, for example, the electrosurgical device 106; in such instance, the module can be employed to generate drive signals for driving the surgical devices 104 and 106, for example.


In certain instances, the generator 102 may comprise an input device 145 (FIG. 1) located, for example, on a front panel of the generator 102 console. The input device 145 may comprise any suitable device that generates signals suitable for programming the operation of the generator 102. In operation, the user can program or otherwise control operation of the generator 102 using the input device 145. The input device 145 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 102 (e.g., operation of the ultrasonic generator module 108 and/or electrosurgery/RF generator module 110).


In various embodiments, the input device 145 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 embodiments, the input device 145 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 145, the user can set or program various operational parameters of the generator, such as, for example, current (I), voltage (V), frequency (f), impedance (Z), and/or period (T) of a drive signal or signals generated by the ultrasonic generator module 108 and/or electrosurgery/RF generator module 110.


The generator 102 may also comprise an output device 147 (FIG. 1) located, for example, on a front panel of the generator 102 console. The output device 147 includes one or more devices for providing a sensory feedback to a user. Such devices may comprise, for example, visual feedback devices (e.g., an LCD display screen, LED indicators), audio feedback devices (e.g., a speaker, a buzzer) or tactile feedback devices (e.g., haptic actuators).



FIG. 9, illustrates an exemplary system 1000 for use with various surgical instruments of the surgical system 100 such as, for example, the ultrasonic device 104 and/or the RF surgical device 106. The system 1000 may include a controller 1002 which may comprise a processor 1004 and a memory 1006. It should be recognized that the system 1000 may comprise multiple processors 1004 and/or multiple memory units 1006. The memory 1006 may store a number of software modules such as, for examples, one or more of the modules shown in FIGS. 10-12 and 15-18. Although certain modules and/or blocks of the system 1000 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. Further, although various embodiments 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), field programmable gate arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Radio-frequency identifiers (RFIDs), circuits, registers and/or software components, e.g., programs, subroutines, logic and/or combinations of hardware and software components. For example, modules such as module 1008 (See FIG. 10) may comprise software code that may be executed by the processor 1004, which may cause the processor 1004 to perform various actions dictated by the software code of the various modules, as explained further below.


One or more of the modules described in FIGS. 10-12 and 15-18 may comprise one or more embedded applications implemented as firmware, software, hardware, or any combination thereof. One or more of the modules 1008-1010 and 1502, 1504, 1506, and 1508 may comprise various executable modules such as software, programs, data, drivers, application program interfaces (APIs), and so forth. The firmware may be stored in the memory 1006 which may comprise a 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), electrically erasable programmable ROM (EEPROM), or battery backed random-access memory (RAM) such as dynamic RAM (DRAM), Double-Data-Rate DRAM (DDRAM), and/or synchronous DRAM (SDRAM). In certain instances, the memory 1006 can be integrated with or fixed to the generator 102, for example. In certain instances, the memory 1006 can be integrated with or fixed to a surgical device such as, for example, the ultrasonic device 104 and/or the RF surgical device 106. Alternatively, in certain instances, the memory 1006 can be removably coupled to the generator 102 or the surgical device, for example. In certain instances, data stored on the memory 1006 can be accessed through an access port such as, for example, a Universal Serial Bus (USB). In certain instances, the memory 1006 can be separated or removed from the generator 102 or the surgical device to access the stored data, for example. In certain instances, the memory 1006 could be stored in a separate compartment positioned on top of the generator 102, for example. In certain instances, the data stored on the memory 1006 can be accessible wirelessly. In certain instances, for example, the data stored on the memory 1006 can be accessible via one or more wireless communication protocols such as, for example, IEEE 802.15.4 (ZigBee), IEEE 802.11a, IEEE 802.11b, IEEE 802.11g, IEEE 802.11n, IEEE 802.16a, IEEE 802.16g, Bluetooth or Infrared wireless communication protocols.


Referring primarily to FIGS. 3, 4, and 9, the system 1000 can be adapted for monitoring accumulation of biological material onto an end effector of a surgical instrument used to treat tissue. In certain instances, the system 1000 can be configured to identify and store data concerning incidents of biological material accumulation that can interfere with normal operation of the surgical instrument. In certain instances, the system 1000 may be configured to alert a user to incidents of biological material accumulation that can interfere with normal operation of the surgical instrument. Biological material may accumulate onto an end effector such as, for example, the end effector 126 and/or the end effector 132 during repetitive use in tissue treatment cycles. The heat generated by the ultrasonic device 104 and/or the RF surgical device 106 may, in part, cause biological material such as, for example, denatured proteins and/or coagulated blood to adhere to the blade 151 and/or the clamp arm 155 of the ultrasonic device 104 and/or one or both of the jaw members 167 and 169 of the RF surgical device 106, for example. Excessive accumulation of biological material may interfere with the normal operation of the ultrasonic device 104 and/or the RF surgical device 106. For example, the accumulating biological material may increase energy requirements during a treatment cycle.


In certain instances, the system 1000 can be configured to monitor biological material accumulation onto the jaw members 167 and 169 by monitoring a distance between the jaw members 167 and 169, for example. In certain instances, the jaw members 167 and 169 may define a gap therebetween in the closed configuration; the gap may increase in size in response to accumulation of biological material onto one or both of the jaw members 167 and 169. In other words, the size of the gap between the jaw members 167 and 169, in the closed configuration, may correspond to the amount of biological material accumulated onto the jaw members 167 and 169, for example. In certain instances, the size of the gap between the jaw members 167 and 169, in the closed configuration, may be directly proportional to the amount of biological material accumulated onto the jaw members 167 and 169, for example. In certain instances, the distance between the jaw members 167 and 169 can be monitored over time and stored in the memory 1006. In certain instances, the system 1000 may comprise one or more position sensors for monitoring the distance between the jaw members 167 and 169 in the closed configuration. In certain instances, the system 1000 can be configured to alert a user if the gap size exceeds a predetermined threshold, for example.


In certain instances, the system 1000 may comprise a load cell (not shown) which can be operably coupled to a cutting member employed to cut tissue captured between the jaw member 167 and 169. The load cell may be configured to sense tissue resistance to the cutting member. Said another way, the load cell can be configured to sense the force required to advance the cutting member through the captured tissue. In certain instances, the measured force can be progressively higher than expected due to biological material accumulation onto the jaw members 167 and 169. In certain instances, the system 1000 may monitor the force required to advance the cutting member and detect if the force exceeds a threshold, for example. In certain instances, the system 1000 can be configured to alert a user if the force exceeds the threshold. In certain instances, the cutting member can be operably coupled to a motor that can generate rotational motions to advance the cutting member against the captured tissue; and a motor driver can control the motor. Furthermore, the system 1000 can be in signal communication with the motor driver. As the motor advances the cutting member, the system 1000 can determine the current drawn by the motor, for example. In such instances, the force required to advance the cutting member can correspond to the current drawn by the motor, for example. As described above, the force can be progressively higher than expected due to biological material accumulation onto the jaw members 167 and 169; and accordingly, the current drawn by the motor may be progressively higher than expected as well. In certain instances, if the increase in the current drawn by the motor exceeds a predefined threshold, the system 1000 may conclude that biological material accumulation onto the jaw members 167 and 169 is excessive and, in response, may alert the user. The reader will appreciate that, among other things, motor speed, power, and/or voltage can be monitored to evaluate the resistance force experienced by the cutting member as the cutting member is advanced against tissue, for example.


In certain instances, the jaw members 167 and 169 may be transitioned between a first (open) position and a second (closed) position by a slidable blade member (not shown) which may comprise an “I”-beam type cross-section. The slidable blade member may serve two functions: (i) to transect the captured tissue, and (ii) to transition the jaw members 167 and 169 between the open position and the closed position. Exemplary closure mechanisms suitable for use with the present disclosure are described in U.S. Pat. No. 6,500,176, entitled ELECTROSURGICAL SYSTEMS AND TECHNIQUES FOR SEALING TISSUE, and filed Oct. 23, 2000, which is hereby incorporated by reference herein in its entirety. In addition, U.S. Pat. No. 7,189,233, entitled ELECTROSURGICAL INSTRUMENT, and filed Sep. 3, 2004, is hereby incorporated by reference herein in its entirety.


In certain instances, the slidable blade member may comprise flanges that are configured to engage the jaw members 167 and 169, for example. In addition, the slidable blade member may be operably coupled to a motor that can generate rotational motions to advance and retract the slidable blade member to transition the jaw members 167 and 169 between the open position and the closed position. In certain instances, the system 1000 may comprise a load cell (not shown) which can be coupled to the slidable blade member. The load cell may be configured to sense the force required to retract the slidable blade member at predetermined positions along the path of the slidable blade member. The reader will appreciate that biological material accumulation onto one or both of the jaw members 167 and 169 may cause jaw members to adhere together and resist the opening forces applied by the slidable blade member during the retraction of the slidable blade member. In certain instances, the greater the biological material accumulation, the greater the force required to separate the jaw members 167 and 169. In certain instances, the force required to separate the jaw members 167 and 169 can be progressively higher than expected due to biological material accumulation onto the jaw members 167 and 169. In certain instances, the system 1000 may monitor the force required to separate the jaw member 167 and 169 and detect if the force exceeds a threshold, for example. In certain instances, the system 1000 can be configured to alert a user if the force exceeds the threshold.


Further to the above, the system 1000 can be configured to monitor biological material accumulation onto the first jaw member 167 and/or the second jaw member 169 of the surgical device 106 by monitoring impedance (Z) between the electrodes 177 and 179 of the surgical device 106, for example. Further, the system 1000 can be configured, in a similar manner, to monitor biological material accumulation onto the blade 151 and/or the clamp arm 155 of the surgical device 104 by monitoring impedance (Z) between the electrodes 157 and 159, for example. The reader will appreciate that some of the components of the system 1000 can be integrated with the generator 102. In certain circumstances, some of the components of the system 1000 can be integrated with the hand piece 116 of the ultrasonic device 104 or the hand piece 130 of the RF surgical device 106. For illustration purposes, the following disclosure describes the operation of the system 1000 with the electrodes 177 and 179 of the surgical device 106. The reader will appreciate that the system 1000 can also be employed, in a similar manner, with electrodes 157 and 159 of the surgical device 104.


Further to the above, the system 1000 may monitor the biological material accumulation by monitoring impedance Z of tissue grasped between the jaw members 167 and 169. The system 1000 can be configured to measure the impedance Z in a similar manner to that described in U.S. Patent Application Publication No. 2011/0087216 A1, entitled SURGICAL GENERATOR FOR ULTRASONIC AND ELECTROSURGICAL DEVICES, filed Oct. 1, 2010, the entire disclosure of which is hereby incorporated by reference herein. For example, the processor 1004 can be configured to employ the generator 102 to apply a non-therapeutic radio frequency (RF) signal to tissue grasped by the end effector 132 between the jaw members 167 and 169. In certain instances, a current sense circuit 1014 can be employed to sense current flowing between electrodes 177 and 179 through the tissue. Furthermore, a voltage sense circuit 1016 can be employed to sense an output voltage applied to the electrodes 177 and 179 by the generator 102. The sensed values of current and voltage may be applied to an analog-to-digital converter (ADC) 1018 via an analog multiplexer 1020 circuit or switching circuit arrangement. The analog multiplexer 1020 may transmit the appropriate analog signal to the ADC 1018 for conversion. The processor 1004 may be configured to receive the digital output of the ADC 1018 and calculate the impedance Z of the tissue based on the measured values of current and voltage. It is worthwhile noting that the RF energy applied to the tissue for purposes of measuring the tissue impedance Z can be a low level non-therapeutic signal that may not contribute in a significant manner, or at all, to the treatment of the tissue.


Referring to FIGS. 9, 10, and 13, the system 1000 may comprise a module such as, for example, the module 1008 which can be configured to monitor biological material accumulation onto the jaw members 167 and 169 during multiple treatment cycles by monitoring minimum tissue impedance Zmin recorded during each of a plurality of treatment cycles. An increasing trend in the recorded minimum tissue impedance Zmin, as illustrated in FIG. 13, can indicate biological material accumulation onto the jaw members 167 and 169. In certain instances, the module 1008 can be configured to alert a user to clean the jaw members 167 and 168, for example, if the recorded minimum tissue impedance Zmin exceeds a predetermined threshold reflecting an excessive accumulation of biological material, as illustrated in FIG. 13.


The reader will appreciate that tissue impedance increases, at least initially, during a treatment cycle. In one non-limiting theory, the increase noted in tissue impedance can be explained by water evaporation resulting from the heat generated during tissue treatment. In other words, as tissue is treated water stored in the tissue may evaporate causing the treated tissue to become less conductive to electricity which, in turn, yields higher tissue impedance. As such, the biological material accumulating during use on the jaw members 167 and 169 may comprise a relatively high tissue impedance Z due to heat exposure during previous treatment cycles, for example. As the jaw members 167 and 168 grasp new tissue and as a new treatment cycle is activated, more biological material may accumulate causing the current passing between the electrodes 177 and 179 to experience higher minimum impedance at the onset of the new treatment cycle. The processor 1004 (FIG. 9) can be configured to detect the increase in the minimum tissue impedance Zmin by monitoring and recording, in the memory 1006, a value for the minimum tissue impedance Zmin(1 . . . n) at the onset of each of a number of treatment cycles C(1 . . . n). An increasing trend in the recorded minimum tissue impedance Zmin may indicate biological material accumulation.


In certain instances, the processor 1004 can be configured to alert a user of the surgical device 106 to clean the jaw members 167 and 168 if the recorded minimum tissue impedance (Zmin) exceeds a predetermined threshold, as illustrated in FIG. 13. For example, the system 1000 may include one or more devices for providing a sensory feedback to a user. Such devices may comprise, for example, visual feedback devices (e.g., an LCD display screen, LED indicators), audio feedback devices (e.g., a speaker, a buzzer) or tactile feedback devices (e.g., haptic actuators). The processor 1004 can be configured to alert the user of the surgical device 106 to clean the jaw members 167 and 168 through such devices.


Referring now to FIG. 11, another module 1009 can be employed with the surgical system 1000 to monitor biological material accumulation and alert a user if the accumulation reaches a predetermined threshold. As previously discussed, the processor 1004 can be configured to monitor tissue impedance and measure a value for the minimum tissue impedance Zmin(1 . . . n) at the onset of each of a number of treatment cycles C(1 . . . n). Furthermore, the processor 1004 can be configured to store, in the memory 1006, the average of the measured values of the minimum tissue impedance AVG Zmin(1 . . . n) and compare the stored average to a prerecorded tissue impedance Ztest. The processor 1004 can be programmed to alert a user, as previously discussed, to clean the jaw members 167 and 169 if the AVG Zmin(1 . . . n) exceeds Ztest. In certain instances, the processor 1004 can be programmed to alert a user to clean the jaw members 167 and 169 if the AVG Zmin(1 . . . n) exceeds Ztest beyond a predetermined tolerance.


In certain circumstances, the processor 1004 can be programmed to alert the user to clean the jaw members 167 and 169 if the AVG Zmin(1 . . . n) exceeds Ztest by approximately 10%, by approximately 20%, by approximately 30%, by approximately 40%, by approximately 50%, by approximately 60%, by approximately 70%, by approximately 80%, by approximately 90%, and/or by approximately 100%, for example. In certain circumstances, the processor 1004 can be programmed to issue a plurality of alerts. For example, a first alert can be issued when the AVG Zmin(1 . . . n) exceeds Ztest by approximately 50% and a second alert at approximately 200%


Referring now to FIG. 12, yet another module 1010 can be employed with the system 1000 to monitor biological material accumulation and alert a user if the accumulation exceeds a threshold determined by impedance of a test material. The processor 1004 can be configured to prompt a user to measure the test material's impedance Z and compare it to a stored value Ztest for the impedance of the test material. The processor 1004 can be configured to prompt the user, as previously discussed, to clean the jaw members 167 and 169 if the measured test material's impedance Z exceeds Ztest by an acceptable tolerance. For example, the processor 1004 can be programmed to alert the user if the impedance Z and the stored value Ztest for the impedance of the test material differ by approximately 10%, by approximately 20%, by approximately 30%, by approximately 40%, by approximately 50%, by approximately 60%, by approximately 70%, by approximately 80%, by approximately 90%, and/or by approximately 100%, for example. In certain circumstances, the processor 1004 can be programmed to issue a plurality of alerts. For example, a first alert can be issued at approximately 50% and a second alert at approximately 200%.


In certain circumstances, the processor 1004 can be configured to prompt the user to record and store a Ztest value for the impedance of the test material while the jaw members 167 and 169 are clean such as, for example, at the onset of the surgical procedure. In such circumstances, the processor 1004 may prompt the user to grasp the test material between the jaw members 167 and 169. Upon receiving confirmation that the test material is grasped between the jaw members 167 and 169, the processor 1004 may record a test impedance value Ztest of the test material and may store the recorded value in the memory 1006, for example. The processor 1004 may then prompt the user, following a predetermined number of treatment cycles for example, to assess the biological material accumulation onto the jaw members 167 and 169 by measuring the impedance Z of the test material. If the measured value of the test material impedance Z exceeds the stored Ztest value, the processor 1004 may prompt the user to clean the jaw members 167 and 169. In certain circumstances, the test material can be provided with the surgical device 106 in a kit, for example. Alternatively, the test material can be a material readily available in a surgical environment such as, for example, surgical gauze.


Referring again to FIG. 9, the present disclosure further provides a method for using the system 1000 to alert a user to excessive biological material accumulation onto an end effector of a surgical instrument used to treat tissue such as for example, the surgical device 106. The method includes providing a non-therapeutic signal across the jaw members 167 and 169 of the surgical device 106, detecting impedance between the electrodes 177 and 179 in response to the non-therapeutic signal, comparing detected impedance to a predetermined threshold impedance, and providing a signal when the detected impedance exceeds the predetermined threshold impedance such as, for example, an alert signal to a user of the surgical device 106, as previously described.


Referring Primarily to FIGS. 3, 4, 9A, and 14 the system 1000 can be configured to compile values of a plurality of operational parameters of the surgical system 100. For example, in certain instances, the system 1000 can be configured to compile values of a plurality of operational parameters of a surgical instrument of the surgical system 100 such as, for example, the ultrasonic device 104 and/or the RF surgical device 106, during a plurality of tissue treatment cycles performed using the surgical instrument. For example, the processor 1004 can be configured to receive and/or calculate the values of the plurality of operational parameters during each of the plurality of treatment cycles and store such values in the memory 1006. In certain circumstances, the stored values can be organized into a database such as, for example, a database 1500 (See FIG. 14). In certain instances, in certain instances, the system 1000 can be configured to compile values of a plurality of operational parameters of a generator of the surgical system 100 such as, for example, the generator 102.


Referring Primarily to FIGS. 3, 4, and 9A, a tissue treatment cycle may comprise one or more therapeutic drive signals which can be generated by the generator 102, for example, and delivered to the tissue using the ultrasonic device 104 or the RF surgical device 106. See, for example, U.S. Patent Application Publication No. 2011/0087216 A1, entitled SURGICAL GENERATOR FOR ULTRASONIC AND ELECTROSURGICAL DEVICES, filed Oct. 1, 2010, the entire disclosure of which is hereby incorporated by reference herein. The system 1000 can also be configured to monitor and store the values of some or all of the operational parameters of the generator 102 in connection with one or more of the treatment cycle delivered by the generator 102 to the tissue. These operational parameters may include, for example, current (I), voltage (V), frequency (f), peak power (PP), energy expenditure (E), tissue impedance (Z), duty cycle (DT), end effector temperature, and/or time period (T) of a drive signal or signals during one or more tissue treatment cycles delivered by the generator 102. In certain instances, the system 1000 can be configured to track other operational parameters and usage data such as, for example, total surgical procedure time, tissue type, surgical procedure type, user information, hospital information, physician information, procedure location, error codes, device identification information including, for example, serial number and/or device lot, and/or total time of operation. The reader will appreciate that the listed operational parameters are meant to be illustrative rather than exhaustive and that other operational parameters of the generator 102, the surgical procedure, the ultrasonic device 104, and/or the RF surgical device 106 can also be monitored and stored by the system 1000 during one or more treatment cycles. In certain instances, the surgical system 100 may comprise one or more motors which can generate rotational forces for powering various drive assemblies such as, for example, a cutting member drive assembly adapted for advancement and retraction of a cutting member, for example. In such instances, the system 1000 can also be configured to track various operational parameters in connection with the motor such as, for example, motor temperature, motor voltage, motor current, motor rpm, motor cycles, and/or force on the motor's drivetrain, for example.


Further to the above, the processor 1004 can be configured to monitor and store, in the memory 1006, the number of times a surgical instrument of the surgical system 100 such as, for example, the ultrasonic device 104, and/or the RF surgical device 106 is coupled to the generator 102. In certain instances, the processor 1004 can be configured to monitor and store, in the memory 1006, the number of times various end effectors are employed and the frequency of utilization of each of the employed end effectors.


For example, a sensor can be operably coupled to the processor 1004 and can be configured to detect coupling engagement of the surgical instrument to the generator 102. In at least one example, a circuit can be operably coupled to the processor 1004 and may comprise a switch that can be transitionable between an open configuration while the surgical instrument is not connected to the generator 102 and a closed configuration while the surgical instrument is connected to the generator 102. In such circumstances, the switch may close the circuit upon connecting the surgical instrument to the generator 102. In response, the circuit may transmit a signal to alert the processor 1004 to increase by one a count stored in the memory 1006 of the number of times the surgical instrument is connected to the generator 102, for example.


Referring to FIG. 14, illustrated is an exemplary table form of the database 1500. The system 1000 can be configured to gather and store the values of the various operational parameters and other usage data in the memory 1006 in the database 1500, for example. The reader will appreciate that the values of the various operational parameters can be stored in the memory 1006 in a variety of different arrangements and that the database 1500 is an exemplary illustrative technique for arranging data stored in the memory 1006. As illustrated in FIG. 14, the first column may list treatment cycle identification numbers. Other columns may be dedicated, for example, to current (I), voltage (V), peak power (PP), energy expenditure (E), tissue impedance (Z), cycle time (T), end effector temperature, tissue type, procedure type, procedure time, operation time, and user information, hospital information, procedure location. The processor 1004 can be configured to store the values of the operational parameters compiled during a treatment Cycle C1, for example, in the row dedicated to the treatment cycle C1. Other arrangements for the database 1500 are contemplated by the present disclosure.


In certain instances, as described above, the one or more of the electrosurgical instruments of the present disclosure can be utilized with a motor which can generate rotational forces for powering various drive assemblies such as, for example, a cutting member drive assembly for advancement and retraction of a cutting member. In such instances, the processor 1004 can be configured to store, in the database 1500, values of various operational parameters in connection with the motor such as, for example, motor temperature, motor voltage, motor current, motor rpm, motor cycles, and/or force on the motor's drivetrain, for example.


As described elsewhere in greater detail, a treatment cycle may involve passing one or more therapeutic drive signals generated by the generator 102 through tissue. FIG. 15 illustrates an exemplary module 1502 for use by the processor 1004 for gathering and storing the values of the operational parameters and other usage data during a plurality of treatment cycles in the database 1500, for example. In certain circumstances, the processor 1004 can be configured to calculate cycle time (T) from beginning to termination of a therapeutic drive signal delivered to tissue. Calculated cycle time (T) can be stored in a dedicated Column in the database 1500, as illustrated in FIG. 14. Furthermore, the current sense circuit 1014 can be employed by the processor 1004 to sense current passing through the tissue during the treatment cycle. Furthermore, the voltage sense circuit 1016 can be employed by the processor 1004 to sense output voltage applied by the generator 102 during the treatment cycle. The sensed values of current and voltage can be communicated to the processor 1004, as previously described. The processor 1004 may calculate an average value for the voltage V1 and current I1 monitored during the treatment cycle which can be stored in dedicated columns in the database 1500, as illustrated in FIG. 14.


Further to the above, the processor 1004 can be configured to monitor active time periods, while energy is being applied to tissue, and inactive time periods, while energy is not being applied to the tissue. In certain instances, the ratios of the active time periods to the corresponding inactive time periods can be stored in the memory 1006. In certain instances, the processor 1004 may calculate average tissue impedance (Z) and minimum tissue impedance (Zmin) during the treatment cycle from the sensed values of voltage and current. The average tissue impedance (Z) and the minimum tissue impedance (Zmin) values can then be stored in dedicated columns in the database 1500, as illustrated in FIG. 14. In certain circumstances, the processor 1004 can be configured to store a plurality of values of each operating parameter during a plurality of time periods during a treatment cycle. In such circumstances, each treatment cycle may be represented by a dedicated table, for example.


Further to the above, the processor 1004 can be configured to calculate total energy (E) delivered to tissue during the treatment cycle. For example, the processor 1004 may monitor the cycle time (T) and the power delivered to tissue over that time as calculated from the sensed voltage and current values. The total energy (E) may then be determined by calculating the total area under the Power (P) vs. Cycle time (T) curve, as illustrated in FIG. 14A. In certain circumstances, the value of the peak power (PP) during a particular treatment cycle can be determined by a dedicated detector such as, for example, an RF Schottky Peak Detector sold by Linear Technology, Inc. The processor 1004 may reset the peak power detector at the onset of each new treatment cycle, for example. In certain instances, one or more of the various operational parameters recorded and stored in the memory 1006 can be stored in a condensed or compressed form, for example. In certain instances, the stored data can be compressed by consolidating the stored data in one or more histograms, for example. In certain instances, various data compression algorithms can be employed to compress the stored data, for example. In certain instances, some of the operational parameters of the surgical system 100 can be stored in high fidelity while others can be calculated from the data stored in high fidelity upon recovery of the stored data, for example. This practice can be desirable to save memory space, for example. In certain instances, the parameters recorded over time (t) in high fidelity can be voltage (V) and current (I), for example. In certain instances, the parameters recorded over time (t) in high fidelity can be impedance (Z) and current (I), for example. In certain instances, the parameters recorded over time (t) in high fidelity can be voltage (V) and impedance (Z), for example. The reader will appreciate that various unrecorded parameters may then be calculated from the recorded parameters, for example.


In any event, the peak power (PP) and/or the total energy (E) delivered to tissue during a particular treatment cycle can be communicated to the Processor 1004 which may store these values in dedicated columns in the database 1500, as illustrated in FIG. 14. In certain circumstances, tissue type, surgical procedure type, hospital information, user information, procedure location, and/or total procedure time, for example, can be provided by a user through a user interface 1022, as illustrated in FIG. 9A. In response, the processor 1004 may input these usage data to dedicated columns in the database 1500, as illustrated in FIG. 14. In certain circumstances, total operation time can be calculated by the processor 1004 by summing the time of all the treatment cycles, for example. The processor 1004 may enter the total operation time into a dedicated column in the database 1500, as illustrated in FIG. 14.


As described above, the processor 1004 can be configured to record, in the memory 1006, values of various operational parameters of the surgical system 100 during a plurality of treatment cycles performed by a surgical instrument of the surgical system 100 such as, for example, the ultrasonic device 104 and/or the RF surgical device 106. In certain circumstances, the processor 1004 can be configured to identify a subset of the stored values of the plurality of operational parameters which are temporally proximate to an intervening event. For example, as illustrated in module 1550 in FIG. 15A, the processor 1004 may store values of various operational parameters such as, for example, current (I), voltage (V), peak power (PP), energy expenditure (E), tissue impedance (Z), cycle time (T), end effector temperature, tissue type, procedure type, procedure time, operation time, hospital information, procedure location, and/or user information during a number of treatment cycles. In certain instances, the processor 1004 may store these operational parameters in the database 1500, for example. Upon detecting an intervening event such as, for example, an operational alert or error of the surgical instrument and/or the generator 102, the processor 1004 may be configured to identify a subset of the stored values of the operational parameters that are temporally proximate to the intervening event.


In certain instances, the processor 1004 may be configured to identify a subset of the stored values that preceded the intervening event in time, a subset of the stored values that coincided with the intervening event in time, and/or a subset of the stored values that followed the intervening event in time. In certain instances, the processor 1004 can be configured to identify a subset of the stored values that was recorded in a time period starting at, for example, 10 minutes prior to the intervening event and/or ending at, for example, 10 minutes past the intervening event. In certain instances, the processor 1004 can be configured to identify a subset of the stored values that was recorded in a time period starting at, for example, 5 minutes prior to the intervening event and/or ending at, for example, 5 minutes past the intervening event. In certain instances, the processor 1004 can be configured to identify a subset of the stored values that was recorded in a time period starting at, for example, 1 minute prior to the intervening event and/or ending at, for example, 1 minute past the intervening event. In certain instances, the processor 1004 can be configured to identify a subset of the stored values that was recorded in a time period starting at, for example, 10 seconds prior to the intervening event and/or ending at, for example, 10 seconds past the intervening event. The reader will appreciate that the time periods outlined above are exemplary time periods and that the processor 1004 can be configured to identify subsets of the stored values recorded in other time periods.


In certain circumstances, the processor 1004 can be configured to identify the subsets of the values of the various operational parameters stored in the memory 1006 and associated with an intervening event by highlighting these stored values in a particular color, for example. In certain circumstances, the processor 1004 may only retain certain subsets of the values of the various operational parameters stored in the memory 1006. For example, the processor 1004 may retain the subsets of the values of the various operational parameters stored in the memory 1006 that are associated with intervening events.


As described above, an intervening event that may trigger the processor 1004 to identify a subset of the stored values of the operational parameters of the surgical system 100 can be an operational error and/or alert of the surgical system 100. In at least one example, the intervening event can be an event that causes the surgical system 100 to reset, for example, by initiating a reset sequence. The processor 1004 can be configured to detect the initiation of the reset sequence and identify the subset of the stored values recorded in a time period starting at a time prior to the initiation of the reset sequence and/or ending at a time past the initiation of the reset sequence. In certain circumstances, the intervening event can be associated with one or more values of one or more of the operational parameters monitored during the operation of the surgical system 100. In certain instances, values of current (I), voltage (V), peak power (PP), energy expenditure (E), tissue impedance (Z), and/or cycle time (T) which fall outside predetermined ranges can be recognizable by the processor 1004 as intervening events. For example, the processor 1004 may receive one or more values of the measured tissue impedance (Z) that may be higher or lower than an acceptable range. In response, the processor 1004 can be configured to identify a subset of the stored values of the operational parameters of the surgical system 100 that is associated with such intervening events to permit examination of the circumstances surrounding these intervening events.


In certain circumstances, the processor 1004 can be configured to store sample values of various operational parameters such as, for example, current (I), voltage (V), peak power (PP), energy expenditure (E), tissue impedance (Z), end effector temperature, and/or time (T) during one or more treatment cycles performed by a surgical instrument of the surgical system 100 such as, for example, the ultrasonic device 104 and/or the RF surgical device 106. Storing sample values of the various operational parameters can reduce the size of the data stored in the memory 1006, for example. In certain instances, the sampling can be continuously performed throughout a treatment cycle. In certain instances, processing of the sampled data can be performed at the termination of a treatment cycle. In certain instances, processing of the sampled data can be performed at the termination of a surgical procedure. In certain instances, the processing of the sampled data can be performed in real-time through out a treatment cycle, for example.


In certain instances, the sampling may be performed by the processor 1004 at one or more designated parts of a treatment cycle, for example. In at least one example, the sampling may be performed by the processor 1004 at an initial segment of the treatment cycle. In at least one example, the sampling may be performed by the processor 1004 at an intermediate segment of the treatment cycle. In at least one example, the sampling may be performed by the processor 1004 at a final segment of the treatment cycle. In certain circumstances, the processor 1004 can be configured to sample and store, in the memory 1006, the total energy (E) delivered to the tissue at certain impedance ranges during a treatment cycle. These impedance ranges can include, for example, about 0 to about 4.99 ohms, about 5 to about 19.99 ohms, about 20 to about 99.99 ohms, about 100 to about 299.99 ohms, and/or greater than about 300 ohms, for example. The reader will appreciate that the processor 1004 can be configured to sample and store, in the memory 1006, values of various other operational parameters of the surgical system 100 during the abovementioned impedance ranges, for example.


Further to the above, the sampling can be performed by the processor 1004 in response to a triggering event. For example, one or more frequencies of the generator 102 can be triggering events. In such circumstances, the processor 1004 can be configured to perform the sampling while the generator 102 is at a particular frequency or in a range of frequencies during one or more treatment cycles performed by a surgical instrument powered by the generator 102 such as, for example, the ultrasonic device 104 and/or the RF surgical device 106. In at least one example, the processor 1004 may sample and store the measured values of, for example, current (I), voltage (V), peak power (PP), energy expenditure (E), and/or tissue impedance (Z) during a treatment cycle performed by the surgical instrument. In certain instances, the processor 1004 may sample the values of the various operational parameters described in the present disclosure at as sampling rate of about 20 HZ, for example. In certain instances, the sampling rate can be any sampling rate selected from a range of about 5 HZ to about 100 HZ, for example. In at least one example, the processor 1004 may sample and store the measured values of current (I), voltage (V), peak power (PP), energy expenditure (E), and/or tissue impedance (Z) during a treatment cycle performed by the surgical at a sampling rate of about 10 HZ, for example. Other sampling rates are contemplated by the present disclosure.


In certain circumstances, a surgical instrument of the surgical system 100 such as, for example, the ultrasonic device 104 and/or the RF surgical device 106 may include temperature sensors to measure, for example, the temperature of the jaws of the surgical instrument and/or the temperature of tissue captured by the jaws of the surgical instrument before, during, and/or after one or more of the treatment cycles performed by the surgical instrument. In certain instances, the processor 1004 can be configured to receive and store, in the memory 1006, the measured temperature of the jaws and/or the captured tissue. Such data may provide insight into the performance of the surgical instrument. A variety of other sensors can be utilized to provide the processor 1004 with data regarding various operational parameters of the surgical system 100. The sensors may include optical sensors, force sensors, and/or chemical sensors, for example. In certain instances, one or more force sensors such as, for example, strain gauges and load cells can be utilized to measure the force applied by the jaws of the surgical instrument against tissue captured by the jaws and/or the torque required to close the jaws. In certain circumstances, chemical sensors (typically done via gaseous head space analysis and/or spectroscopy) may test the composition of the smoke resulting during a treatment cycle performed by the surgical instrument. Such data can also be received and stored by the processor 1004 in the memory 1006 to provide insight into the performance of the surgical instrument.


In certain circumstances, as described above, the processor 1004 can be configured to store, in the memory 1006, some or all of the measured and/or calculated values of the various operational parameters of the surgical system 100 during one or more treatment cycles performed by the surgical system 100 such as, for example, current (I), voltage (V), peak power (PP), energy expenditure (E), tissue impedance (Z), and/or time (T). In other circumstances, the processor 1004 may store, in the memory 1006, statistical summaries of such values. Statistical summary data such as histogram data of the total energy expenditure (E) consumed per treatment cycle, for example, may be stored by the processor 1004 in the memory 1006. Such statistical data may provide insight into the performance the surgical instruments and can be useful for root causing failed surgical instruments, for example.


In certain instances, as described above, the processor 1004 may store values for various operational parameters of the surgical system 100 on the memory 1006. In certain instances, the memory 1006 can be housed within, attached to, and/or coupled to a surgical instrument of the surgical system 100 such as, for example, the ultrasonic device 104 and/or the RF surgical device 106. In certain instances, as described above, the data stored on the memory 1006 can be accessible wirelessly. In certain instances, for example, the data stored on the memory 1006 can be accessible via one or more wireless communication protocols such as, for example, IEEE 802.15.4 (ZigBee), IEEE 802.11a, IEEE 802.11b, IEEE 802.11g, IEEE 802.11n, IEEE 802.16a, IEEE 802.16g, Bluetooth or Infrared wireless communication protocols. In certain instances, the surgical instrument that houses the memory 1006 can be discarded at the completion of the surgical instrument's life cycle. For example, the surgical instrument can be dropped in a disposal container at the completion of the surgical instrument's life cycle.


In certain instances, as illustrated in FIG. 19, a data transmission triggering module 2000 can be employed to initiate wireless transmission of the data stored on the memory 1006 at a triggering event, for example. In certain instances, the triggering event can be the dropping of the surgical instrument in the disposal container. The data transmission triggering module 2000 may include a Radio-frequency identification (RFID) receiver 2001; and the disposal container may include an RFID transmitter 2002. In certain instances, the processor 1004 can be operably coupled to the RFID receiver 2001 and can be configured to detect receipt of a triggering signal by the RFID receiver 2001 from the RFID transmitter 2002. In certain instances, the triggering signal can be limited in range such that the RFID receiver 2001 may be able to receive the triggering signal when the RFID transmitter 2002 in a predetermined proximity from the RFID receiver 2001. In certain instances, the triggering signal transmitted by the RFID transmitter 2002 can detected by the RFID receiver 2001 when the surgical instrument is dropped in the disposal container, for example. In response, the processor 1004 can be configured to activate a data transmitter 2004 configured to wirelessly transmit the data stored in the memory 1006 to a receiver 2006 which may deposit the stored data in an external storage device, for example, so that the stored data can be accessed and/or analyzed.


As described elsewhere in greater detail, the generator 102 can be powered by a battery. In certain circumstances, the generator 102 and the battery can be integrated with a surgical instrument such as, for example, the ultrasonic device 104 or the RF surgical device 106. In certain instances, the values of the total energy (E) consumption stored by the processor 1004 in the memory 1006 can be used to predict the battery's life cycle and/or optimize the battery performance in future designs. In certain instances, the stored values for the total energy (E) delivered during the treatment cycles performed by the surgical instrument can be analyzed, for example, by the manufacturer at the end of the instrument's life cycle to assess the battery's performance which can provide useful insight in optimizing battery design.


Further to the above, a processor such as, for example, the processor 1004 can be configured to predict the remaining battery life of a battery utilized with a surgical instrument such as, for example, the ultrasonic device 104 or the RF surgical device 106. In certain instances, the processor 1004 can be a battery life processor such as, for example, battery life processors bq34z100 and/or bq30z55-R1 EVM manufactured by Texas Instruments Inc. In certain instances, the processor 1004 may calculate the sum of the total energy (E) delivered during the treatment cycles performed by the surgical instrument. The processor 1004 may then estimate the remaining battery life from the calculated sum of the stored values of the total energy (E) and a stored value of the total energy in a full battery, for example. In certain instances, the processor 1004 may monitor and store the total energy (E) consumed from the battery prior to and/or up to a predetermined condition. In certain instances, the predetermined condition can be triggered when an alert is communicated to a user by the processor 1004 that the battery is nearly depleted, for example. In certain instances, the processor 1004 may record static battery voltage over time to assess battery capacity after known amounts of energy have been expended.


In certain instances, the processor 1004 can be configured to generate a signal to alert a user when the battery life is depleted to approximately 50% of its initial capacity, to approximately 30% of its initial capacity, to approximately 20% of its initial capacity, to approximately 10% of its initial capacity, to approximately 5% of its initial capacity, and/or to approximately 2% of its initial capacity, for example.


In certain circumstances, the processor 1004 can be configured to predict the number of complete treatment cycles that can be performed by the surgical instrument before the battery is depleted based on historical data of the total energy (E) consumed in previously performed treatment cycles. For example, the processor 1004 can be configured to estimate the total energy (E) consumption in a treatment cycle by averaging the total energy (E) consumed during previous treatment cycles. An estimate of the number of the remaining treatment cycles can then be calculated by the processor 1004 from the calculated remaining battery life and the estimated total energy (E) consumption in a treatment cycle. In certain instances, the processor 1004 can be employed to alert a user when the number of remaining treatment cycles reaches a predetermined threshold. For example, the processor 1004 may alert the user when the number of remaining treatment cycles reaches about 20 treatment cycles. For example, the processor 1004 may alert the user when the number of remaining treatment cycles reaches about 10 treatment cycles. For example, the processor 1004 may alert the user when the number of remaining treatment cycles reaches about 5 treatment cycles.


A method for predicting a battery life cycle of a battery configured to power a surgical instrument to treat tissue may comprise monitoring energy expenditure of the battery during each of a plurality of treatment cycles performed by the surgical instrument. The method may further comprise storing values of the monitored energy expenditure in a memory unit and calculating total energy expenditure from the stored values. The method may further comprise predicting remaining battery life from the calculated total energy expenditure.


As described herein, the processor 1004 can be configured to receive values of various operational parameters of a surgical system 100 such as, for example, the ultrasonic device 104 and/or the RF surgical device 106 during one or more treatment cycles performed by the surgical instrument. In certain instances, the processor 1004 can be configured to store such values, samples of such values, and/or statistical summary data of such values in a memory unit such as, for example, the memory 1006. In certain circumstances, the memory 1006 can be housed within the generator 102, for example. In other circumstances, the memory 1006 can be housed within the surgical instrument such as, for example, the ultrasonic device 104 or the RF surgical device 106, for example. In other words, each surgical instrument may include a memory unit to store the values, samples of the values, and/or statistical summary data of the values of the operational parameters of the surgical system 100.


In certain circumstances, the memory 1006 can be removably coupled to the surgical instrument. For example, the memory 1006 may comprise a flash memory card which can be removably housed in a socket within the ultrasonic device 104 or the RF surgical device 106, for example. The data stored in the flash memory card can be recovered at the end of a surgical procedure and/or at the end of an instrument's lifecycle to analyze the stored data, for example. In certain instances, the memory 1006 can be accessible through an interface such as a universal serial bus (USB) interface or a micro-USB interface. For example, as illustrated in FIG. 15B, the memory 1006 can be accessible through a micro-usb connector 1510 located near a proximal end of an interface cable 1512 between the surgical instrument and the generator 102. In certain circumstances, the memory 1006 can be accessible through a micro-usb connector in a handle of the ultrasonic device 104 and/or the RF surgical device 106, for example.


Referring now to FIG. 16, illustrated is a module 1504 for use with the system 1000 to provide user specific performance feedback to a user of a surgical instrument such as, for example, the ultrasonic device 104 and/or the RF surgical device 106. The provided feedback can be based upon monitored operational parameters gathered by the processor 1004 and stored in the memory 1006 during use of the ultrasonic device 104 and/or the RF surgical device by the user. Such feedback may be beneficial in evaluating the user's performance and determining, for example, if the device is being used properly by the user.


As described above in greater detail, the processor 1004 can be configured to receive information about a user of the ultrasonic device 104 and/or the RF surgical device through the user interface 1022, for example, which can be stored in the memory 1006. Such information may include a user's name, an identification number, hospital information, surgical procedure type, and/or device type. As illustrated in FIG. 16, the processor 1004 can be configured to associate user identifying information, device identifying information, and/or surgical procedure identifying information with values of the operational parameters compiled during treatment cycles performed by the user. The processor 1004 may be configured to evaluate the user's performance by comparing the values of the operational parameters compiled during one or more treatment cycles performed by the user to preset normal standards stored in the memory 1006, for example, to determine whether the surgical instrument is being used properly. In at least one example, if one or more of the compiled values differ from the stored preset normal standards beyond an acceptable tolerance, the processor 1004 can be programmed to alert the user to improve the user's performance.


In some circumstances, the processor 1004 may compare the user's performance to historical usage data stored by the processor 1004 in the memory 1006 during previous treatment cycles performed by the user. In other circumstances, as illustrated in module 1506 in FIG. 17, the processor 1004 may compare a user's performance to performance of other users which may have been compiled by the processor 1004 and stored in the memory 1006 during previous usage of the instrument by the other users, for example. This may allow for evaluating the user's performance against the performance of other users under similar settings such as, for example, users in the same hospital and/or users performing the same or similar surgical procedures. In yet other circumstances, the processor 1004 may evaluate a user's performance against a combination of the preset normal standards and other users' performance. In any event, if the processor 1004 determines that the user's performance is not within an acceptable tolerance when compared to the preset normal standards (See FIG. 16) and/or other users' performance (See FIG. 17), the processor 1004 may issue a signal to inform the user of any issues with the user's performance and/or to suggest areas of improvement, for example.


As described above in greater detail, the processor 1004 can be configured to monitor and store treatment cycle duration time (T) and associate the duration time of a particular treatment cycle with user identification information such as, for example, the user's name and/or identification number which can be provided by the user through the user interface 1022, for example. In certain circumstances, actual treatment cycle duration time (Ta) can be controlled by the user who may end the treatment cycle prematurely or continue the treatment cycle past a preset recommended treatment cycle time (Tr) which can be stored in the memory unit 1006. The user may initiate a treatment cycle by signaling a processor such as, for example, the processor 1004 through the user interface 1022, for example, to activate the generator 102 to generate a therapeutic drive signal thereby causing current to pass through tissue captured by a surgical instrument such as, for example, the ultrasonic device 104 or the RF surgical device 106. At the completion of the treatment cycle, the user may terminate the treatment cycle by signaling the processor 1004, through the interface 1022, to deactivate the generator 102.


Referring to FIG. 18, illustrated is a module 1508 for use with the system 1000 (FIG. 9A) to evaluate a user's performance. The processor 1004 can be programed to compare the actual treatment cycle duration time (Ta) to the preset recommended treatment cycle time (Tr) to assess the user's compliance with the preset recommended treatment cycle time (Tr) for a particular treatment cycle. The user's compliance can be monitored over a number of treatment cycles N performed by the user and the processor 1004 may calculate the percentage of user compliance by calculating the percentage of treatment cycles where the user complied with the recommended time against the total number of cycles performed by the user. If the calculated percentage does not fall within an acceptable tolerance, the processor 1004 may be configured to issue a signal to instruct the user to comply with the recommended treatment cycle time (Tr), for example. In certain circumstances, the processor 1004 can be configured to store, in the memory 1006, the identification information for each of the users with a user compliance percentage that is lower than a threshold. The stored data can be recovered to provide such users with additional training, for example.


In certain circumstances, the acceptable tolerance can be based on a preset standard stored in the memory unity 1006. In other circumstances, the acceptable tolerance can be determined based on other users' performance such as, for example, users in the same hospital and/or users performing the same or similar surgical procedures. In yet other circumstances, the acceptable tolerance can be determined based on a combination of the preset standard and other users' performance.


Reference throughout the specification to “various embodiments,” “some embodiments,” “one embodiment,” or “an embodiment”, or the like, means that a particular feature, structure, or characteristic described in connection with the embodiment is included in at least one embodiment. Thus, appearances of the phrases “in various embodiments,” “in some embodiments,” “in one embodiment”, or “in an embodiment”, or the like, in places throughout the specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments. Thus, the particular features, structures, or characteristics illustrated or described in connection with one embodiment may be combined, in whole or in part, with the features structures, or characteristics of one or more other embodiments without limitation. Such modifications and variations are intended to be included within the scope of the present invention.


Although some embodiments may be illustrated and described as comprising functional components, software, engines, and/or modules performing various operations, it can be appreciated that such components or modules may be implemented by one or more hardware components, software components, and/or combination thereof. The functional components, software, engines, and/or modules may be implemented, for example, by logic (e.g., instructions, data, and/or code) to be executed by a logic device (e.g., processor). Such logic may be stored internally or externally to a logic device on one or more types of computer-readable storage media. In other embodiments, the functional components such as software, engines, and/or modules may be implemented by hardware elements that may include processors, microprocessors, circuits, circuit elements (e.g., transistors, resistors, capacitors, inductors, and so forth), integrated circuits, application specific integrated circuits (ASIC), programmable logic devices (PLD), digital signal processors (DSP), field programmable gate array (FPGA), logic gates, registers, semiconductor device, chips, microchips, chip sets, and so forth.


Examples of software, engines, and/or modules may include software components, programs, applications, computer programs, application programs, system programs, machine programs, operating system software, middleware, firmware, software modules, routines, subroutines, functions, methods, procedures, software interfaces, application program interfaces (API), instruction sets, computing code, computer code, code segments, computer code segments, words, values, symbols, or any combination thereof. Determining whether an embodiment is implemented using hardware elements and/or software elements may vary in accordance with any number of factors, such as desired computational rate, power levels, heat tolerances, processing cycle budget, input data rates, output data rates, memory resources, data bus speeds and other design or performance constraints.


In some cases, various embodiments may be implemented as an article of manufacture. The article of manufacture may include a computer readable storage medium arranged to store logic, instructions and/or data for performing various operations of one or more embodiments. In various embodiments, for example, the article of manufacture may comprise a magnetic disk, optical disk, flash memory or firmware containing computer program instructions suitable for execution by a general purpose processor or application specific processor. The embodiments, however, are not limited in this context.


The functions of the various functional elements, logical blocks, modules, and circuits elements described in connection with the embodiments disclosed herein may be implemented in the general context of computer executable instructions, such as software, control modules, logic, and/or logic modules executed by the processing unit. Generally, software, control modules, logic, and/or logic modules comprise any software element arranged to perform particular operations. Software, control modules, logic, and/or logic modules can comprise routines, programs, objects, components, data structures and the like that perform particular tasks or implement particular abstract data types. An implementation of the software, control modules, logic, and/or logic modules and techniques may be stored on and/or transmitted across some form of computer-readable media. In this regard, computer-readable media can be any available medium or media useable to store information and accessible by a computing device. Some embodiments also may be practiced in distributed computing environments where operations are performed by one or more remote processing devices that are linked through a communications network. In a distributed computing environment, software, control modules, logic, and/or logic modules may be located in both local and remote computer storage media including memory storage devices.


Additionally, it is to be appreciated that the embodiments described herein illustrate example implementations, and that the functional elements, logical blocks, modules, and circuits elements may be implemented in various other ways which are consistent with the described embodiments. Furthermore, the operations performed by such functional elements, logical blocks, modules, and circuits elements may be combined and/or separated for a given implementation and may be performed by a greater number or fewer number of components or modules. As will be apparent to those of skill in the art upon reading the present disclosure, each of the individual embodiments described and illustrated herein has discrete components and features which may be readily separated from or combined with the features of any of the other several aspects without departing from the scope of the present disclosure. Any recited method can be carried out in the order of events recited or in any other order which is logically possible.


Unless specifically stated otherwise, it may be appreciated that terms such as “processing,” “computing,” “calculating,” “determining,” or the like, refer to the action and/or processes of a computer or computing system, or similar electronic computing device, such as a general purpose processor, a DSP, ASIC, FPGA or other programmable logic device, discrete gate or transistor logic, discrete hardware components, or any combination thereof designed to perform the functions described herein that manipulates and/or transforms data represented as physical quantities (e.g., electronic) within registers and/or memories into other data similarly represented as physical quantities within the memories, registers or other such information storage, transmission or display devices.


It is worthy to note that some embodiments may be described using the expression “coupled” and “connected” along with their derivatives. These terms are not intended as synonyms for each other. For example, some embodiments may be described using the terms “connected” and/or “coupled” to indicate that two or more elements are in direct physical or electrical contact with each other. 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. With respect to software elements, for example, the term “coupled” may refer to interfaces, message interfaces, and application program interface (API), exchanging messages, and so forth.


Any patent, publication, or other disclosure material, in whole or in part, that is the to be incorporated by reference herein is incorporated herein only to the extent that the incorporated materials 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 the 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.


While this invention has been described as having exemplary designs, the present invention may be further modified within the spirit and scope of the disclosure. This application is therefore intended to cover any variations, uses, or adaptations of the invention using its general principles. Further, this application is intended to cover such departures from the present disclosure as come within known or customary practice in the art to which this invention pertains.

Claims
  • 1. A system for use with a surgical instrument, the system comprising: an end effector comprising a first and second electrode;a memory circuit to store computer-executable instructions for performing a biological material accumulation monitoring process; anda processor coupled to the memory circuit, the processor configured to execute the computer-executable instructions, wherein executing the computer-executable instructions causes the processor to: initiate a first treatment cycle;measure a first plurality of impedance values during the first treatment cycle;determine a first minimum impedance value for the first treatment cycle based on the measured first plurality of impedance values;compare the first minimum impedance value to a predetermined impedance threshold; andgenerate an alert in the event that the first minimum impedance value exceeds the predetermined impedance threshold.
  • 2. The system of claim 1, wherein executing the computer-executable instructions further causes the processor to: initiate a second treatment cycle;measure a second plurality of impedance values during the second treatment cycle;determine a second minimum impedance value for the second treatment cycle based on the measured second plurality of impedance values;compare the second minimum impedance value to the predetermined impedance threshold; andgenerate an alert in the event that the second minimum impedance value exceeds the predetermined impedance threshold.
  • 3. The system of claim 2, wherein executing the computer-executable instructions further causes the processor to: compare the first minimum impedance value and the second minimum impedance value; andgenerate an alert in the event that a difference between the first and second minimum impedance values exceeds a second predetermined threshold.
  • 4. The system of claim 2, wherein executing the computer-executable instructions further causes the processor to: determine an average of the first minimum impedance value and the second minimum impedance value; andgenerate an alert in the event that the average exceeds a second predetermined threshold.
  • 5. The system of claim 2, wherein executing the computer-executable instructions further causes the processor to: apply a non-therapeutic radio frequency signal to at least one of the first or second electrodes for measuring an impedance value.
  • 6. The system of claim 2, wherein executing the computer-executable instructions further causes the processor to: apply a therapeutic radio frequency drive signal to at least one of the first or second electrodes for initiating a treatment cycle.
  • 7. The system of claim 2, further comprising: a connector configured to access the memory circuit, wherein the connector is a micro-USB (universal serial bus) connector.
  • 8. A surgical instrument comprising: an end effector comprising a first and second electrode;a memory circuit to store computer-executable instructions for performing a biological material accumulation monitoring process;a connector configured to access the memory circuit; anda processor coupled to the memory circuit, the processor configured to execute the computer-executable instructions, wherein executing the computer-executable instructions causes the processor to: initiate a first treatment cycle;measure a first plurality of impedance values during the first treatment cycle;determine a first minimum impedance value for the first treatment cycle based on the measured first plurality of impedance values;compare the first minimum impedance value to a predetermined impedance threshold; andgenerate an alert in the event that the first minimum impedance value exceeds the predetermined impedance threshold.
  • 9. The surgical instrument of claim 8, wherein executing the computer-executable instructions further causes the processor to: initiate a second treatment cycle;measure a second plurality of impedance values during the second treatment cycle;determine a second minimum impedance value for the second treatment cycle based on the measured second plurality of impedance values;compare the second minimum impedance value to the predetermined impedance threshold; andgenerate an alert in the event that the second minimum impedance value exceeds the predetermined impedance threshold.
  • 10. The surgical instrument of claim 9, wherein executing the computer-executable instructions further causes the processor to: compare the first minimum impedance value and the second minimum impedance value; andgenerate an alert in the event that a difference between the first and second minimum impedance values exceeds a second predetermined threshold.
  • 11. The surgical instrument of claim 9, wherein the connector is a micro-USB (universal serial bus) connector.
  • 12. The surgical instrument of claim 9, further comprising: an ultrasonic transducer, wherein the end effector comprises an ultrasonic blade acoustically coupled to the ultrasonic transducer.
  • 13. The surgical instrument of claim 9, wherein the first and second electrodes are configured to receive a therapeutic radio frequency drive signal.
  • 14. A method of monitoring biological material accumulation onto an end effector of a surgical instrument, the surgical instrument comprising an end effector comprising a first and second electrode, a memory circuit, and a processor coupled to the memory circuit, the method comprising: initiating, by the processor, a first treatment cycle;measuring, by the processor, a first plurality of impedance values during the first treatment cycle;determining, by the processor, a first minimum impedance value for the first treatment cycle based on the measured first plurality of impedance values;comparing, by the processor, the first minimum impedance value to a predetermined impedance threshold; andgenerating, by the processor, an alert in the event that the first minimum impedance value exceeds the predetermined impedance threshold.
  • 15. The method of claim 14, further comprising: initiating, by the processor, a second treatment cycle;measuring, by the processor, a second plurality of impedance values during the second treatment cycle;determining, by the processor, a second minimum impedance value for the second treatment cycle based on the measured second plurality of impedance values;comparing, by the processor, the second minimum impedance value to the predetermined impedance threshold; andgenerating, by the processor, an alert in the event that the second minimum impedance value exceeds the predetermined impedance threshold.
  • 16. The method of claim 15, further comprising: comparing, by the processor, the first minimum impedance value and the second minimum impedance value;generating, by the processor, an alert in the event that a difference between the first and second minimum impedance values exceeds a second predetermined threshold.
  • 17. The method of claim 15, further comprising: determining, by the processor, an average of the first minimum impedance value and the second minimum impedance value;generating, by the processor, an alert in the event that the average exceeds a second predetermined threshold.
  • 18. The method of claim 15, wherein measuring an impedance value comprises applying a non-therapeutic radio frequency signal to at least one of the first or second electrodes.
  • 19. The method of claim 15, wherein initiating a treatment cycle comprises applying a therapeutic radio frequency signal to at least one of the first or second electrodes.
  • 20. The method of claim 15, wherein determining a minimum impedance value comprises applying a combination of a non-therapeutic radio frequency signal and a therapeutic radio frequency signal to at least one of the first or second electrodes.
US Referenced Citations (841)
Number Name Date Kind
2366274 Luth et al. Jan 1945 A
2458152 Eakins Jan 1949 A
2510693 Green Jun 1950 A
2867039 Zach Jan 1959 A
3166971 Stoecker Jan 1965 A
3525912 Wallin Aug 1970 A
3580841 Cadotte et al. May 1971 A
3703651 Blowers Nov 1972 A
3777760 Essner Dec 1973 A
4005714 Hiltebrandt Feb 1977 A
4034762 Cosens et al. Jul 1977 A
4058126 Leveen Nov 1977 A
4203430 Takahashi May 1980 A
4220154 Semm Sep 1980 A
4237441 van Konynenburg et al. Dec 1980 A
4281785 Brooks Aug 1981 A
4304987 van Konynenburg Dec 1981 A
4463759 Garito et al. Aug 1984 A
4492231 Auth Jan 1985 A
4535773 Yoon Aug 1985 A
4545926 Fouts, Jr. et al. Oct 1985 A
4550870 Krumme et al. Nov 1985 A
4582236 Hirose Apr 1986 A
4617927 Manes Oct 1986 A
4735603 Goodson et al. Apr 1988 A
4761871 O'Connor et al. Aug 1988 A
4830462 Karny et al. May 1989 A
4849133 Yoshida et al. Jul 1989 A
4860745 Farin et al. Aug 1989 A
4878493 Pasternak et al. Nov 1989 A
4880015 Nierman Nov 1989 A
4910389 Sherman et al. Mar 1990 A
4920978 Colvin May 1990 A
4936842 D'Amelio et al. Jun 1990 A
5020514 Heckele Jun 1991 A
5061269 Muller Oct 1991 A
5099840 Goble et al. Mar 1992 A
5104025 Main et al. Apr 1992 A
5106538 Barma et al. Apr 1992 A
5108383 White Apr 1992 A
5156633 Smith Oct 1992 A
5160334 Billings et al. Nov 1992 A
5190541 Abele et al. Mar 1993 A
5196007 Ellman et al. Mar 1993 A
5205459 Brinkerhoff et al. Apr 1993 A
5217460 Knoepfler Jun 1993 A
5234428 Kaufman Aug 1993 A
5258006 Rydell et al. Nov 1993 A
5285945 Brinkerhoff et al. Feb 1994 A
5290286 Parins Mar 1994 A
5309927 Welch May 1994 A
5312023 Green et al. May 1994 A
5318563 Malis et al. Jun 1994 A
5318564 Eggers Jun 1994 A
5318589 Lichtman Jun 1994 A
5326013 Green et al. Jul 1994 A
5330471 Eggers Jul 1994 A
5330502 Hassler et al. Jul 1994 A
5339723 Huitema Aug 1994 A
5342359 Rydell Aug 1994 A
5361583 Huitema Nov 1994 A
5383874 Jackson et al. Jan 1995 A
5387207 Dyer et al. Feb 1995 A
5389098 Tsuruta et al. Feb 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
5403312 Yates et al. Apr 1995 A
5417709 Slater May 1995 A
5428504 Bhatla Jun 1995 A
5429131 Scheinman et al. Jul 1995 A
5443463 Stern et al. Aug 1995 A
5445638 Rydell et al. Aug 1995 A
5451227 Michaelson Sep 1995 A
5456684 Schmidt et al. Oct 1995 A
5458598 Feinberg et al. Oct 1995 A
5465895 Knodel et al. Nov 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
5484436 Eggers et al. Jan 1996 A
5486189 Mudry et al. Jan 1996 A
5496317 Goble et al. Mar 1996 A
5504650 Katsui et al. Apr 1996 A
5509922 Aranyi et al. Apr 1996 A
5511556 DeSantis Apr 1996 A
5520704 Castro et al. May 1996 A
5522839 Pilling Jun 1996 A
5531744 Nardella et al. Jul 1996 A
5540681 Strul Jul 1996 A
5542916 Hirsch et al. Aug 1996 A
5558671 Yates Sep 1996 A
5563179 Stone et al. Oct 1996 A
5569164 Lurz Oct 1996 A
5571121 Heifetz Nov 1996 A
5573534 Stone Nov 1996 A
5584830 Ladd et al. Dec 1996 A
5599350 Schulze et al. Feb 1997 A
5607450 Zvenyatsky et al. Mar 1997 A
5611813 Lichtman Mar 1997 A
5618307 Donlon et al. Apr 1997 A
5624452 Yates Apr 1997 A
5632432 Schulze et al. May 1997 A
5647871 Levine et al. Jul 1997 A
5658281 Heard Aug 1997 A
5662667 Knodel Sep 1997 A
5665085 Nardella Sep 1997 A
5665100 Yoon Sep 1997 A
5674219 Monson et al. Oct 1997 A
5674220 Fox et al. Oct 1997 A
5688270 Yates et al. Nov 1997 A
5693051 Schulze et al. Dec 1997 A
5709680 Yates et al. Jan 1998 A
5711472 Bryan Jan 1998 A
5713896 Nardella Feb 1998 A
5716366 Yates Feb 1998 A
5720742 Zacharias Feb 1998 A
5720744 Eggleston Feb 1998 A
5735848 Yates 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
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
5796188 Bays Aug 1998 A
5797941 Schulze et al. Aug 1998 A
5800432 Swanson Sep 1998 A
5800449 Wales Sep 1998 A
5805140 Rosenberg et al. Sep 1998 A
5807393 Williamson, IV et al. Sep 1998 A
5810811 Yates 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
5827323 Klieman Oct 1998 A
5836909 Cosmescu Nov 1998 A
5836943 Miller, III Nov 1998 A
5836990 Li Nov 1998 A
5853412 Mayenberger Dec 1998 A
5876401 Schulze et al. Mar 1999 A
5878193 Wang et al. Mar 1999 A
5880668 Hall Mar 1999 A
5891142 Eggers et al. Apr 1999 A
5906625 Bito et al. May 1999 A
5910129 Koblish et al. Jun 1999 A
5921956 Grinberg et al. Jul 1999 A
5929846 Rosenberg et al. Jul 1999 A
5984938 Yoon Nov 1999 A
6003517 Sheffield 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
6033399 Gines Mar 2000 A
6039734 Goble Mar 2000 A
6050996 Schmaltz et al. Apr 2000 A
6063098 Houser et al. May 2000 A
6068629 Haissaguerre et al. May 2000 A
6074389 Levine et al. Jun 2000 A
6091995 Ingle et al. Jul 2000 A
6099483 Palmer et al. Aug 2000 A
6099550 Yoon Aug 2000 A
H1904 Yates et al. Oct 2000 H
6132368 Cooper Oct 2000 A
6144402 Norsworthy et al. Nov 2000 A
6152923 Ryan Nov 2000 A
6154198 Rosenberg Nov 2000 A
6162208 Hipps Dec 2000 A
6174309 Wrublewski et al. Jan 2001 B1
6176857 Ashley Jan 2001 B1
6190386 Rydell Feb 2001 B1
6206876 Levine et al. Mar 2001 B1
6228080 Gines May 2001 B1
6231565 Tovey et al. May 2001 B1
6259230 Chou Jul 2001 B1
6277117 Tetzlaff et al. Aug 2001 B1
6292700 Morrison et al. Sep 2001 B1
6325799 Goble Dec 2001 B1
6340878 Oglesbee Jan 2002 B1
6364888 Niemeyer et al. Apr 2002 B1
6387109 Davison et al. May 2002 B1
6391026 Hung et al. May 2002 B1
6398779 Buysse et al. Jun 2002 B1
H2037 Yates et al. Jul 2002 H
6419675 Gallo, Sr. Jul 2002 B1
6430446 Knowlton Aug 2002 B1
6443968 Holthaus et al. Sep 2002 B1
6458128 Schulze Oct 2002 B1
6464689 Qin et al. Oct 2002 B1
6464702 Schulze et al. Oct 2002 B2
6480796 Wiener Nov 2002 B2
6491690 Goble et al. Dec 2002 B1
6500112 Khouri Dec 2002 B1
6500176 Truckai et al. Dec 2002 B1
6503248 Levine Jan 2003 B1
6511480 Tetzlaff et al. Jan 2003 B1
6514252 Nezhat et al. Feb 2003 B2
6517565 Whitman et al. Feb 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
6551309 LePivert Apr 2003 B1
6554829 Schulze et al. Apr 2003 B2
6558376 Bishop May 2003 B2
6562037 Paton May 2003 B2
6572639 Ingle et al. Jun 2003 B1
6575969 Rittman, III et al. Jun 2003 B1
6582451 Marucci et al. Jun 2003 B1
6584360 Francischelli et al. Jun 2003 B2
6585735 Frazier et al. Jul 2003 B1
6589200 Schwemberger et al. Jul 2003 B1
6602252 Mollenauer Aug 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
6635057 Harano et al. Oct 2003 B2
6644532 Green et al. Nov 2003 B2
6651669 Burnside Nov 2003 B1
6656177 Truckai et al. Dec 2003 B2
6656198 Tsonton et al. Dec 2003 B2
6662127 Wiener et al. Dec 2003 B2
6673248 Chowdhury Jan 2004 B2
6679882 Kornerup Jan 2004 B1
6695840 Schulze Feb 2004 B2
6722552 Fenton, Jr. Apr 2004 B2
6733498 Paton et al. May 2004 B2
6746443 Morley et al. Jun 2004 B1
6752815 Beaupre Jun 2004 B2
6770072 Truckai et al. Aug 2004 B1
6773409 Truckai et al. Aug 2004 B2
6773435 Schulze et al. Aug 2004 B2
6775575 Bommannan et al. Aug 2004 B2
6783524 Anderson et al. Aug 2004 B2
6789939 Schrödinger et al. Sep 2004 B2
6796981 Wham et al. Sep 2004 B2
6800085 Selmon et al. Oct 2004 B2
6802843 Truckai et al. Oct 2004 B2
6811842 Ehrnsperger et al. Nov 2004 B1
6821273 Mollenauer Nov 2004 B2
6835199 McGuckin, Jr. et al. Dec 2004 B2
6840938 Morley et al. Jan 2005 B1
6860880 Treat et al. Mar 2005 B2
6877647 Green et al. Apr 2005 B2
6893435 Goble May 2005 B2
6905497 Truckai et al. Jun 2005 B2
6908463 Treat et al. Jun 2005 B2
6913579 Truckai et al. Jul 2005 B2
6926716 Baker et al. Aug 2005 B2
6929622 Chian Aug 2005 B2
6929644 Truckai et al. Aug 2005 B2
6953461 McClurken et al. Oct 2005 B2
6977495 Donofrio Dec 2005 B2
6994709 Iida Feb 2006 B2
7000818 Shelton, IV et al. Feb 2006 B2
7011657 Truckai et al. Mar 2006 B2
7041102 Truckai 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
7066936 Ryan Jun 2006 B2
7070597 Truckai et al. Jul 2006 B2
7077853 Kramer et al. Jul 2006 B2
7083618 Couture et al. Aug 2006 B2
7083619 Truckai et al. Aug 2006 B2
7087054 Truckai et al. Aug 2006 B2
7094235 Francischelli et al. Aug 2006 B2
7101371 Dycus et al. Sep 2006 B2
7101372 Dycus et al. Sep 2006 B2
7101373 Dycus et al. Sep 2006 B2
7112201 Truckai et al. Sep 2006 B2
7118570 Tetzlaff et al. Oct 2006 B2
7125409 Truckai et al. Oct 2006 B2
7131970 Moses et al. Nov 2006 B2
7137980 Buysse et al. Nov 2006 B2
7143925 Shelton, IV et al. Dec 2006 B2
7147138 Shelton, IV Dec 2006 B2
7156846 Dycus et al. Jan 2007 B2
7160296 Pearson et al. Jan 2007 B2
7169146 Truckai et al. Jan 2007 B2
7169156 Hart Jan 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
7207471 Heinrich et al. Apr 2007 B2
7220951 Truckai et al. May 2007 B2
7225964 Mastri et al. Jun 2007 B2
7226448 Bertolero et al. Jun 2007 B2
7232440 Dumbauld et al. Jun 2007 B2
7235073 Levine et al. Jun 2007 B2
7241294 Reschke Jul 2007 B2
7251531 Mosher et al. Jul 2007 B2
7252667 Moses et al. Aug 2007 B2
7267677 Johnson et al. Sep 2007 B2
7267685 Butaric et al. Sep 2007 B2
7273483 Wiener et al. Sep 2007 B2
7287682 Ezzat et al. Oct 2007 B1
7300450 Vleugels et al. Nov 2007 B2
7303557 Wham et al. Dec 2007 B2
7307313 Ohyanagi et al. Dec 2007 B2
7309849 Truckai et al. Dec 2007 B2
7311709 Truckai et al. Dec 2007 B2
7329257 Kanehira et al. Feb 2008 B2
7354440 Truckai et al. Apr 2008 B2
7357287 Shelton, IV et al. 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
7381209 Truckai et al. Jun 2008 B2
7384420 Dycus 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
7416101 Shelton, IV et al. Aug 2008 B2
7422139 Shelton, IV et al. Sep 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
7464846 Shelton, IV et al. Dec 2008 B2
7473253 Dycus et al. Jan 2009 B2
7488319 Yates Feb 2009 B2
7491201 Shields et al. Feb 2009 B2
7494501 Ahlberg et al. Feb 2009 B2
7498080 Tung et al. Mar 2009 B2
7506791 Omaits et al. Mar 2009 B2
7510107 Timm et al. Mar 2009 B2
7513025 Fischer Apr 2009 B2
7517349 Truckai et al. Apr 2009 B2
7524320 Tierney et al. Apr 2009 B2
7540872 Schechter et al. Jun 2009 B2
7543730 Marczyk Jun 2009 B1
7550216 Ofer et al. Jun 2009 B2
7553309 Buysse Jun 2009 B2
7559452 Wales et al. Jul 2009 B2
7582086 Privitera et al. Sep 2009 B2
7586289 Andruk et al. Sep 2009 B2
7588176 Timm et al. Sep 2009 B2
7594925 Danek et al. Sep 2009 B2
7597693 Garrison Oct 2009 B2
7604150 Boudreaux Oct 2009 B2
7621930 Houser Nov 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
7641653 Dalla Betta et al. Jan 2010 B2
7641671 Crainich Jan 2010 B2
7644848 Swayze et al. Jan 2010 B2
7645277 McClurken et al. Jan 2010 B2
7648499 Orszulak et al. Jan 2010 B2
7658311 Boudreaux Feb 2010 B2
7665647 Shelton, IV et al. Feb 2010 B2
7666206 Taniguchi et al. Feb 2010 B2
7670334 Hueil et al. Mar 2010 B2
7691095 Bednarek et al. Apr 2010 B2
7691098 Wallace et al. Apr 2010 B2
7703459 Saadat et al. Apr 2010 B2
7703653 Shah et al. Apr 2010 B2
7708751 Hughes et al. May 2010 B2
7717915 Miyazawa May 2010 B2
7722527 Bouchier et al. May 2010 B2
7722607 Dumbauld et al. May 2010 B2
7726537 Olson et al. Jun 2010 B2
7753904 Shelton, IV et al. Jul 2010 B2
7753908 Swanson Jul 2010 B2
7762445 Heinrich et al. Jul 2010 B2
7766210 Shelton, IV et al. Aug 2010 B2
7766910 Hixson et al. Aug 2010 B2
7770775 Shelton, IV et al. Aug 2010 B2
7775972 Brock et al. Aug 2010 B2
7776037 Odom Aug 2010 B2
7780651 Madhani et al. Aug 2010 B2
7780663 Yates 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
7803156 Eder et al. Sep 2010 B2
7806891 Nowlin et al. Oct 2010 B2
7810693 Broehl et al. Oct 2010 B2
7815641 Dodde et al. Oct 2010 B2
7819298 Hall et al. Oct 2010 B2
7819299 Sheltoin, IV et al. Oct 2010 B2
7819872 Johnson et al. Oct 2010 B2
7824401 Manzo et al. Nov 2010 B2
7832408 Shelton, IV et al. Nov 2010 B2
7832612 Baxter, III et al. Nov 2010 B2
7845537 Shelton, IV et al. Dec 2010 B2
7846159 Morrison et al. Dec 2010 B2
7846160 Payne et al. Dec 2010 B2
7861906 Doll et al. Jan 2011 B2
7879035 Garrison et al. Feb 2011 B2
7879070 Ortiz et al. Feb 2011 B2
7896875 Heim et al. Mar 2011 B2
7901400 Wham et al. Mar 2011 B2
7909220 Viola Mar 2011 B2
7919184 Mohapatra et al. Apr 2011 B2
7922061 Shelton, IV et al. Apr 2011 B2
7922651 Yamada et al. Apr 2011 B2
7931649 Couture et al. Apr 2011 B2
7935114 Takashino et al. May 2011 B2
7951165 Golden et al. May 2011 B2
7955331 Truckai et al. Jun 2011 B2
7963963 Francischelli et al. Jun 2011 B2
7967602 Lindquist Jun 2011 B2
7981113 Truckai et al. Jul 2011 B2
7997278 Utley et al. Aug 2011 B2
8020743 Shelton, IV Sep 2011 B2
8038693 Allen Oct 2011 B2
8056720 Hawkes Nov 2011 B2
8058771 Giordano et al. Nov 2011 B2
8061014 Smith et al. Nov 2011 B2
8070036 Knodel et al. Dec 2011 B1
8105323 Buysse et al. Jan 2012 B2
8128624 Couture et al. Mar 2012 B2
8136712 Zingman Mar 2012 B2
8141762 Bedi et al. Mar 2012 B2
8157145 Shelton, IV et al. Apr 2012 B2
8197472 Lau et al. Jun 2012 B2
8197479 Olson et al. Jun 2012 B2
8197502 Smith et al. Jun 2012 B2
8221415 Francischelli Jul 2012 B2
8236020 Smith et al. Aug 2012 B2
8241235 Kahler et al. Aug 2012 B2
8241284 Dycus et al. Aug 2012 B2
8246615 Behnke Aug 2012 B2
8246618 Bucciaglia et al. Aug 2012 B2
8251994 McKenna et al. Aug 2012 B2
8262563 Bakos et al. Sep 2012 B2
8267300 Boudreaux Sep 2012 B2
8277446 Heard Oct 2012 B2
8277447 Garrison et al. Oct 2012 B2
8282669 Gerber et al. Oct 2012 B2
8287528 Wham et al. Oct 2012 B2
8292886 Kerr et al. Oct 2012 B2
8298232 Unger Oct 2012 B2
8303583 Hosier et al. Nov 2012 B2
8323310 Kingsley Dec 2012 B2
8333778 Smith et al. Dec 2012 B2
8333779 Smith et al. Dec 2012 B2
8334468 Palmer et al. Dec 2012 B2
8338726 Palmer et al. Dec 2012 B2
8357158 McKenna et al. Jan 2013 B2
8372064 Douglass et al. Feb 2013 B2
8372099 Deville et al. Feb 2013 B2
8372101 Smith et al. Feb 2013 B2
8377059 Deville et al. Feb 2013 B2
8377085 Smith et al. Feb 2013 B2
8397971 Yates 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
8414577 Boudreaux 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
8425545 Smith et al. Apr 2013 B2
8430876 Kappus et al. Apr 2013 B2
8435257 Smith et al. May 2013 B2
8439939 Deville et al. May 2013 B2
8444662 Palmer et al. May 2013 B2
8444664 Balanev et al. May 2013 B2
8453906 Huang et al. Jun 2013 B2
8460288 Tamai et al. Jun 2013 B2
8460292 Truckai et al. Jun 2013 B2
8480703 Nicholas et al. Jul 2013 B2
8485413 Scheib et al. Jul 2013 B2
8486057 Behnke, II Jul 2013 B2
8496682 Guerra et al. Jul 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
8562598 Falkenstein et al. Oct 2013 B2
8562604 Nishimura Oct 2013 B2
8568390 Mueller Oct 2013 B2
8568412 Brandt et al. Oct 2013 B2
8569997 Lee Oct 2013 B2
8574231 Boudreaux et al. Nov 2013 B2
8591506 Wham et al. Nov 2013 B2
D695407 Price et al. Dec 2013 S
8613383 Beckman et al. Dec 2013 B2
8623011 Spivey Jan 2014 B2
8623016 Fischer Jan 2014 B2
8623027 Price et al. Jan 2014 B2
8623044 Timm et al. Jan 2014 B2
8628529 Aldridge et al. Jan 2014 B2
8632461 Glossop Jan 2014 B2
8638428 Brown Jan 2014 B2
8647350 Mohan et al. Feb 2014 B2
8663220 Wiener et al. Mar 2014 B2
8663222 Anderson et al. Mar 2014 B2
8684253 Giordano et al. Apr 2014 B2
8685020 Weizman et al. Apr 2014 B2
8696665 Hunt et al. Apr 2014 B2
8702609 Hadjicostis Apr 2014 B2
8702704 Shelton, IV et al. Apr 2014 B2
8709035 Johnson et al. Apr 2014 B2
8715270 Weitzner et al. May 2014 B2
8715277 Weizman May 2014 B2
8734443 Hixson 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
8752264 Ackley et al. Jun 2014 B2
8752749 Moore et al. Jun 2014 B2
8753338 Widenhouse et al. Jun 2014 B2
8764747 Cummings et al. Jul 2014 B2
8790342 Stulen et al. Jul 2014 B2
8795276 Dietz et al. Aug 2014 B2
8795327 Dietz et al. Aug 2014 B2
8827992 Koss et al. Sep 2014 B2
8834466 Cummings et al. Sep 2014 B2
8834518 Faller et al. Sep 2014 B2
8845630 Mehta et al. Sep 2014 B2
8888776 Dietz et al. Nov 2014 B2
8888809 Davison et al. Nov 2014 B2
8906016 Boudreaux et al. Dec 2014 B2
8926607 Norvell et al. Jan 2015 B2
8926608 Bacher et al. Jan 2015 B2
8931682 Timm et al. Jan 2015 B2
8939974 Boudreaux et al. Jan 2015 B2
8951248 Messerly et al. Feb 2015 B2
8956349 Aldridge et al. Feb 2015 B2
8979843 Timm et al. Mar 2015 B2
8979844 White et al. Mar 2015 B2
8979890 Boudreaux Mar 2015 B2
8986302 Aldridge et al. Mar 2015 B2
8992422 Spivey et al. Mar 2015 B2
9005199 Beckman et al. Apr 2015 B2
9011437 Woodruff et al. Apr 2015 B2
9028494 Shelton, IV et al. May 2015 B2
9028519 Yates et al. May 2015 B2
9044243 Johnson et al. Jun 2015 B2
9044256 Cadeddu et al. Jun 2015 B2
9055961 Manzo et al. Jun 2015 B2
9060770 Shelton, IV et al. Jun 2015 B2
9066723 Beller et al. Jun 2015 B2
9072535 Shelton, IV et al. Jul 2015 B2
9072536 Shelton, IV et al. Jul 2015 B2
9101385 Shelton, IV et al. Aug 2015 B2
9119657 Shelton, IV et al. Sep 2015 B2
9125662 Shelton, IV Sep 2015 B2
9149324 Huang et al. Oct 2015 B2
9149325 Worrell et al. Oct 2015 B2
9168085 Juzkiw et al. Oct 2015 B2
9179912 Yates et al. Nov 2015 B2
9192380 Racenet et al. Nov 2015 B2
9192431 Woodruff et al. Nov 2015 B2
9198714 Worrell et al. Dec 2015 B2
9204879 Shelton, IV Dec 2015 B2
9216050 Condie et al. Dec 2015 B2
9226751 Shelton, IV et al. Jan 2016 B2
9226767 Stulen et al. Jan 2016 B2
9237891 Shelton, IV Jan 2016 B2
9259265 Harris et al. Feb 2016 B2
9265926 Strobl et al. Feb 2016 B2
9277962 Koss et al. Mar 2016 B2
9283027 Monson et al. Mar 2016 B2
9283045 Rhee et al. Mar 2016 B2
9295514 Shelton, IV et al. Mar 2016 B2
9314292 Trees et al. Apr 2016 B2
9326788 Batross et al. May 2016 B2
9333025 Monson et al. May 2016 B2
9351754 Vakharia et al. May 2016 B2
9375232 Hunt et al. Jun 2016 B2
9375267 Kerr et al. Jun 2016 B2
9408660 Strobl et al. Aug 2016 B2
9414880 Monson et al. Aug 2016 B2
9421060 Monson et al. Aug 2016 B2
9456863 Moua Oct 2016 B2
9456864 Witt et al. Oct 2016 B2
9510906 Boudreaux et al. Dec 2016 B2
20020022836 Goble et al. Feb 2002 A1
20020049551 Friedman Apr 2002 A1
20020107517 Witt et al. Aug 2002 A1
20020165541 Whitman Nov 2002 A1
20030014053 Nguyen et al. Jan 2003 A1
20030105474 Bonutti 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
20030158548 Phan et al. Aug 2003 A1
20030171747 Kanehira et al. Sep 2003 A1
20030216722 Swanson Nov 2003 A1
20030229344 Dycus et al. Dec 2003 A1
20040019350 O'Brien et al. Jan 2004 A1
20040054364 Aranyi et al. Mar 2004 A1
20040092992 Adams et al. May 2004 A1
20040138621 Jahns et al. Jul 2004 A1
20040167508 Wham et al. Aug 2004 A1
20040193148 Wham et al. Sep 2004 A1
20040193150 Sharkey et al. Sep 2004 A1
20040232196 Shelton, IV et al. Nov 2004 A1
20040249374 Tetzlaff et al. Dec 2004 A1
20040260273 Wan Dec 2004 A1
20050015125 Mioduski et al. Jan 2005 A1
20050033278 McClurken et al. Feb 2005 A1
20050085809 Mucko et al. Apr 2005 A1
20050090817 Phan Apr 2005 A1
20050103819 Racenet et al. May 2005 A1
20050131390 Heinrich et al. Jun 2005 A1
20050165429 Douglas et al. Jul 2005 A1
20050171522 Christopherson Aug 2005 A1
20050203507 Truckai et al. Sep 2005 A1
20050256405 Makin et al. Nov 2005 A1
20050261581 Hughes et al. Nov 2005 A1
20050267464 Truckai et al. Dec 2005 A1
20060052778 Chapman et al. Mar 2006 A1
20060058825 Ogura et al. Mar 2006 A1
20060064086 Odom Mar 2006 A1
20060069388 Truckai et al. Mar 2006 A1
20060159731 Shoshan Jul 2006 A1
20060270916 Skwarek et al. Nov 2006 A1
20060293656 Shadduck et al. Dec 2006 A1
20070027469 Smith et al. Feb 2007 A1
20070073185 Nakao Mar 2007 A1
20070073341 Smith et al. Mar 2007 A1
20070106158 Madan et al. May 2007 A1
20070106317 Shelton, IV et al. May 2007 A1
20070118115 Artale et al. May 2007 A1
20070146113 Truckai et al. Jun 2007 A1
20070173803 Wham et al. Jul 2007 A1
20070173811 Couture et al. Jul 2007 A1
20070173813 Odom Jul 2007 A1
20070175949 Shelton, IV et al. Aug 2007 A1
20070185474 Nahen Aug 2007 A1
20070191713 Eichmann et al. Aug 2007 A1
20070191830 Cromton, Jr. et al. Aug 2007 A1
20070203483 Kim et al. Aug 2007 A1
20070208312 Norton et al. Sep 2007 A1
20070208340 Ganz et al. Sep 2007 A1
20070232920 Kowalski et al. Oct 2007 A1
20070232926 Stulen et al. Oct 2007 A1
20070232927 Madan et al. Oct 2007 A1
20070232928 Wiener et al. Oct 2007 A1
20070236213 Paden et al. Oct 2007 A1
20070239025 Wiener et al. Oct 2007 A1
20070260242 Dycus et al. Nov 2007 A1
20070265613 Edelstein et al. Nov 2007 A1
20070265616 Couture et al. Nov 2007 A1
20080015575 Odom et al. Jan 2008 A1
20080071269 Hilario et al. Mar 2008 A1
20080114355 Whayne et al. May 2008 A1
20080147058 Horrell et al. Jun 2008 A1
20080147062 Truckai et al. Jun 2008 A1
20080167522 Giordano et al. Jul 2008 A1
20080188755 Hart Aug 2008 A1
20080188851 Truckai et al. Aug 2008 A1
20080188912 Stone et al. Aug 2008 A1
20080214967 Aranyi et al. Sep 2008 A1
20080221565 Eder et al. Sep 2008 A1
20080255642 Zarins et al. Oct 2008 A1
20080262491 Swoyer et al. Oct 2008 A1
20080269862 Elmouelhi et al. Oct 2008 A1
20080281315 Gines Nov 2008 A1
20080294158 Pappone et al. Nov 2008 A1
20080300588 Groth Dec 2008 A1
20090012516 Curtis et al. Jan 2009 A1
20090048589 Takashino et al. Feb 2009 A1
20090076506 Baker Mar 2009 A1
20090076534 Shelton, IV et al. Mar 2009 A1
20090082766 Unger et al. Mar 2009 A1
20090099582 Isaacs et al. Apr 2009 A1
20090112229 Omori et al. Apr 2009 A1
20090125026 Rioux et al. May 2009 A1
20090125027 Fischer May 2009 A1
20090131929 Shimizu May 2009 A1
20090138003 Deville et al. May 2009 A1
20090138006 Bales et al. May 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
20090206140 Scheib et al. Aug 2009 A1
20090209979 Yates et al. Aug 2009 A1
20090248002 Takashino et al. Oct 2009 A1
20090248021 McKenna Oct 2009 A1
20090254080 Honda Oct 2009 A1
20090287205 Ingle Nov 2009 A1
20090320268 Cunningham et al. Dec 2009 A1
20090326530 Orban, III et al. Dec 2009 A1
20100032470 Hess et al. Feb 2010 A1
20100036370 Mirel et al. Feb 2010 A1
20100036380 Taylor et al. Feb 2010 A1
20100076433 Taylor et al. Mar 2010 A1
20100081863 Hess et al. Apr 2010 A1
20100081864 Hess et al. Apr 2010 A1
20100081880 Widenhouse et al. Apr 2010 A1
20100081881 Murray et al. Apr 2010 A1
20100081882 Hess et al. Apr 2010 A1
20100081883 Murray et al. Apr 2010 A1
20100081995 Widenhouse et al. Apr 2010 A1
20100094323 Isaacs et al. Apr 2010 A1
20100168620 Klimovitch et al. Jul 2010 A1
20100222752 Collins, Jr. et al. Sep 2010 A1
20100237132 Measamer et al. Sep 2010 A1
20100264194 Huang et al. Oct 2010 A1
20100274278 Fleenor et al. Oct 2010 A1
20110015627 DiNardo Jan 2011 A1
20110082486 Messerly et al. Apr 2011 A1
20110087214 Giordano et al. Apr 2011 A1
20110087215 Aldridge et al. Apr 2011 A1
20110087216 Aldridge et al. Apr 2011 A1
20110087217 Yates et al. Apr 2011 A1
20110087220 Felder et al. Apr 2011 A1
20110118754 Dachs, II et al. May 2011 A1
20110155781 Swensgard et al. Jun 2011 A1
20110224668 Johnson et al. Sep 2011 A1
20110276049 Gerhardt Nov 2011 A1
20110276057 Conlon et al. Nov 2011 A1
20110278343 Knodel et al. Nov 2011 A1
20110284014 Cadeddu et al. Nov 2011 A1
20110290856 Shelton, IV et al. Dec 2011 A1
20110295269 Swensgard et al. Dec 2011 A1
20110295295 Shelton, IV et al. Dec 2011 A1
20110301605 Homer Dec 2011 A1
20110306967 Payne et al. Dec 2011 A1
20110313415 Fernandez et al. Dec 2011 A1
20120016413 Timm et al. Jan 2012 A1
20120022519 Huang et al. Jan 2012 A1
20120022526 Aldridge et al. Jan 2012 A1
20120078139 Aldridge et al. Mar 2012 A1
20120078243 Worrell et al. Mar 2012 A1
20120078244 Worrell et al. Mar 2012 A1
20120078247 Worrell et al. Mar 2012 A1
20120078248 Worrell et al. Mar 2012 A1
20120083783 Davison et al. Apr 2012 A1
20120109186 Parrott et al. May 2012 A1
20120116265 Houser et al. May 2012 A1
20120116379 Yates et al. May 2012 A1
20120116380 Madan et al. May 2012 A1
20120116391 Houser et al. May 2012 A1
20120130256 Buysse et al. May 2012 A1
20120136353 Romero May 2012 A1
20120138660 Shelton, IV Jun 2012 A1
20120150170 Buysse et al. Jun 2012 A1
20120150192 Dachs, II et al. Jun 2012 A1
20120172859 Condie et al. Jul 2012 A1
20120265196 Turner et al. Oct 2012 A1
20120265241 Hart et al. Oct 2012 A1
20120296371 Kappus et al. Nov 2012 A1
20120323238 Tyrrell et al. Dec 2012 A1
20130023925 Mueller Jan 2013 A1
20130030428 Worrell et al. Jan 2013 A1
20130030433 Heard Jan 2013 A1
20130035685 Fischer et al. Feb 2013 A1
20130079762 Twomey et al. Mar 2013 A1
20130085496 Unger et al. Apr 2013 A1
20130123776 Monson et al. May 2013 A1
20130158659 Bergs et al. Jun 2013 A1
20130158660 Bergs et al. Jun 2013 A1
20130253256 Griffith et al. Sep 2013 A1
20130253502 Aronow et al. Sep 2013 A1
20130296843 Boudreaux et al. Nov 2013 A1
20130338661 Behnke, II Dec 2013 A1
20140001231 Shelton, IV et al. Jan 2014 A1
20140001234 Shelton, IV et al. Jan 2014 A1
20140001235 Shelton, IV Jan 2014 A1
20140001236 Shelton, IV et al. Jan 2014 A1
20140005640 Shelton, IV et al. Jan 2014 A1
20140005653 Shelton, IV et al. Jan 2014 A1
20140005678 Shelton, IV et al. Jan 2014 A1
20140005680 Shelton, IV et al. Jan 2014 A1
20140005681 Gee et al. Jan 2014 A1
20140005693 Shelton, IV et al. Jan 2014 A1
20140005694 Shelton, IV et al. Jan 2014 A1
20140005695 Shelton, IV Jan 2014 A1
20140005701 Olson et al. Jan 2014 A1
20140005702 Timm et al. Jan 2014 A1
20140005703 Stulen 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
20140094801 Boudreaux et al. Apr 2014 A1
20140194875 Reschke et al. Apr 2014 A1
20140180281 Rusin Jun 2014 A1
20140194874 Dietz et al. Jul 2014 A1
20140194915 Johnson et al. Jul 2014 A1
20140214019 Baxter, III et al. Jul 2014 A1
20140228844 Hörlle et al. Aug 2014 A1
20140257284 Artale Sep 2014 A1
20140303551 Germain et al. Oct 2014 A1
20140316408 Davison et al. Oct 2014 A1
20140330271 Dietz et al. Nov 2014 A1
20140343550 Faller et al. Nov 2014 A1
20150018826 Boudreaux Jan 2015 A1
20150080876 Worrell et al. Mar 2015 A1
20150080879 Trees et al. Mar 2015 A1
20150080891 Shelton, IV et al. Mar 2015 A1
20150133915 Strobl et al. May 2015 A1
20150133929 Evans et al. May 2015 A1
20150141981 Price et al. May 2015 A1
20150190189 Yates et al. Jul 2015 A1
20150196352 Beckman et al. Jul 2015 A1
20150230853 Johnson et al. Aug 2015 A1
20150230861 Woloszko et al. Aug 2015 A1
20150265347 Yates et al. Sep 2015 A1
20150272602 Boudreaux et al. Oct 2015 A1
20150272657 Yates et al. Oct 2015 A1
20150272659 Boudreaux et al. Oct 2015 A1
20150272660 Boudreaux et al. Oct 2015 A1
20150289925 Voegele et al. Oct 2015 A1
20150297286 Boudreaux et al. Oct 2015 A1
20160045248 Unger et al. Feb 2016 A1
20160051315 Boudreaux Feb 2016 A1
20160051316 Boudreaux Feb 2016 A1
20160051317 Boudreaux Feb 2016 A1
20160058492 Yates et al. Mar 2016 A1
20160074108 Woodruff et al. Mar 2016 A1
20160128762 Harris et al. May 2016 A1
20160135875 Strobl et al. May 2016 A1
20160157927 Corbett et al. Jun 2016 A1
20160175024 Yates et al. Jun 2016 A1
20160175028 Trees et al. Jun 2016 A1
20160175029 Witt et al. Jun 2016 A1
20160175030 Boudreaux Jun 2016 A1
20160175031 Boudreaux Jun 2016 A1
20160175032 Yang Jun 2016 A1
20160199123 Thomas et al. Jul 2016 A1
20160199125 Jones Jul 2016 A1
20160228171 Boudreaux Aug 2016 A1
20160270840 Yates et al. Sep 2016 A1
20160270841 Strobl et al. Sep 2016 A1
20160270842 Strobl et al. Sep 2016 A1
20160270843 Boudreaux et al. Sep 2016 A1
20160278848 Boudreaux et al. Sep 2016 A1
20160296268 Gee et al. Oct 2016 A1
20160296270 Strobl et al. Oct 2016 A1
20160296271 Danziger et al. Oct 2016 A1
20160302844 Strobl et al. Oct 2016 A1
20160317215 Worrell et al. Nov 2016 A1
Foreign Referenced Citations (107)
Number Date Country
2868227 Feb 2007 CN
4300307 Jul 1994 DE
19608716 Apr 1997 DE
29623113 Oct 1997 DE
20004812 Sep 2000 DE
10201569 Jul 2003 DE
0340803 Aug 1993 EP
0630612 Dec 1994 EP
0705571 Apr 1996 EP
0557806 May 1998 EP
0640317 Sep 1999 EP
0722696 Dec 2002 EP
1293172 Apr 2006 EP
0875209 May 2006 EP
1704824 Sep 2006 EP
1749479 Feb 2007 EP
1767157 Mar 2007 EP
1254637 Aug 2007 EP
1878399 Jan 2008 EP
1915953 Apr 2008 EP
1532933 May 2008 EP
1707143 Jun 2008 EP
1943957 Jul 2008 EP
1435852 Dec 2008 EP
1849424 Apr 2009 EP
2042117 Apr 2009 EP
2060238 May 2009 EP
1810625 Aug 2009 EP
2090238 Aug 2009 EP
2090256 Aug 2009 EP
2092905 Aug 2009 EP
2105104 Sep 2009 EP
1747761 Oct 2009 EP
1769766 Feb 2010 EP
2151204 Feb 2010 EP
2153791 Feb 2010 EP
2243439 Oct 2010 EP
1510178 Jun 2011 EP
1728475 Aug 2011 EP
2353518 Aug 2011 EP
2529681 Dec 2012 EP
1767164 Jan 2013 EP
2316359 Mar 2013 EP
2578172 Apr 2013 EP
2508143 Feb 2014 EP
2472216 Feb 2011 GB
H 08-229050 Sep 1996 JP
2008-018226 Jan 2008 JP
5714508 May 2015 JP
WO 8103272 Nov 1981 WO
WO 9307817 Apr 1993 WO
WO 9322973 Nov 1993 WO
WO 9510978 Apr 1995 WO
WO 9635382 Nov 1996 WO
WO 9710764 Mar 1997 WO
WO 9800069 Jan 1998 WO
WO 9840020 Sep 1998 WO
WO 9857588 Dec 1998 WO
WO 9923960 May 1999 WO
WO 9940857 Aug 1999 WO
WO 9940861 Aug 1999 WO
WO 0024330 May 2000 WO
WO 0024331 May 2000 WO
WO 0025691 May 2000 WO
WO 0128444 Apr 2001 WO
WO 02062241 Aug 2002 WO
WO 02080797 Oct 2002 WO
WO 03001986 Jan 2003 WO
WO 03013374 Feb 2003 WO
WO 03020339 Mar 2003 WO
WO 03028541 Apr 2003 WO
WO 03030708 Apr 2003 WO
WO 03068046 Aug 2003 WO
WO 2004011037 Feb 2004 WO
WO 2004032754 Apr 2004 WO
WO 2004032762 Apr 2004 WO
WO 2004032763 Apr 2004 WO
WO 2004078051 Sep 2004 WO
WO 2004112618 Dec 2004 WO
WO 2005052959 Jun 2005 WO
WO 2006021269 Mar 2006 WO
WO 2006036706 Apr 2006 WO
WO 2006055166 May 2006 WO
WO 2006119139 Nov 2006 WO
WO 2008020964 Feb 2008 WO
WO 2008045348 Apr 2008 WO
WO 2008099529 Aug 2008 WO
WO 2008101356 Aug 2008 WO
WO 2009022614 Feb 2009 WO
WO 2009036818 Mar 2009 WO
WO 2009039179 Mar 2009 WO
WO 2009059741 May 2009 WO
WO 2009082477 Jul 2009 WO
WO 2009149234 Dec 2009 WO
WO 2010017266 Feb 2010 WO
WO 2010104755 Sep 2010 WO
WO 2011008672 Jan 2011 WO
WO 2011084768 Jul 2011 WO
WO 2011089717 Jul 2011 WO
WO 2011144911 Nov 2011 WO
WO 2012044606 Apr 2012 WO
WO 2012166510 Dec 2012 WO
WO 2013034629 Mar 2013 WO
WO 2013062978 May 2013 WO
WO 2013102602 Jul 2013 WO
WO 2013154157 Oct 2013 WO
WO 2015197395 Dec 2015 WO
Non-Patent Literature Citations (40)
Entry
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).
Hörmann et al., “Reversible and irreversible denaturation of collagen fibers.” Biochemistry, 10, pp. 932-937 (1971).
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).
Arnoczky 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).
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., “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., “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).
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).
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.
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).
Wall et al., “Thermal modification of collagen,” J Shoulder Elbow Surg, No. 8, pp. 339-344 (Jul./Aug. 1999).
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).
Kurt Gieck & Reiner Gieck, Engineering Formulas § Z.7 (7th ed. 1997).
National Semiconductors Temperature Sensor Handbook—http://www.national.com/appinfo/tempsensors/files/temphb.pdf; accessed online: Apr. 1, 2011.
Glaser and Subak-Sharpe, Integrated Circuit Engineering, Addison-Wesley Publishing, Reading, MA (1979). (book—not attached).
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, [Value Analysis Brief], LigaSure Advance™ Pistol Grip, dated Rev. Apr. 2010 (7 pages).
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).
Covidien Brochure, The LigaSure Precise™ Instrument, dated Mar. 2011 (2 pages).
Erbe Electrosurgery VIO® 200 S, (2012), p. 7, 12 pages, accessed Mar. 31, 2014 at http://www.erbe-med.com/erbe/media/Marketingmaterialien/85140-170—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.
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.
Sullivan, “Cost-Constrained Selection of Strand Diameter and Number in a Litz-Wire Transformer Winding,” IEEE Transactions on Power Electronics, vol. 16, No. 2, Mar. 2001, pp. 281-288.
Sullivan, “Optimal Choice for No. Of Strands in a Litz-Wire Transformer Winding,” IEEE Transactions on Power Electronics, vol. 14, No. 2, Mar. 1999, pp. 283-291.
https://www.kjnnagnetics.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.
U.S. Appl. No. 15/265,293, filed Sep. 14, 2016.
U.S. Appl. No. 15/258,570, filed Sep. 7, 2016.
U.S. Appl. No. 15/258,578, filed Sep. 7, 2016.
U.S. Appl. No. 15/258,586, filed Sep. 7, 2016.
U.S. Appl. No. 15/258,598, filed Sep. 7, 2016.
U.S. Appl. No. 12/576,529, filed Oct. 9, 2009.
International Preliminary Report on Patentability for PCT/US2015/025890 dated Oct. 18, 2016 (5 pages).
International Search Report for PCT/US2015/025890 dated Jul. 10, 2015 (4 pages).
Related Publications (1)
Number Date Country
20150289925 A1 Oct 2015 US