Stimulation systems and related user interfaces

Information

  • Patent Grant
  • 11890462
  • Patent Number
    11,890,462
  • Date Filed
    Friday, November 8, 2019
    4 years ago
  • Date Issued
    Tuesday, February 6, 2024
    2 months ago
Abstract
A system for stimulating body tissue may include a user interface and a control unit. The control unit may include a processor and non-transitory computer readable medium. The non-transitory computer readable medium may store instructions that, when executed by the processor, causes the processor to identify an electrode combination and determine a threshold charge for use in stimulating the body tissue. The processors identifications and determinations may be based at least partially on input received via the user interface.
Description
TECHNICAL FIELD

Embodiments this disclosure relate to systems, methods, and associated graphical user interfaces for stimulations of a body. Embodiments of this disclosure generally relate to methods and devices (including systems) for the stimulation of nerves and/or muscles, including a user interface for se during the stimulation of muscles and/or nerves. In embodiments, systems may restore, enhance, and/or modulate of diminished neurophysiological functions using electrical stimulation. Some embodiments provide methods for mapping and selecting the electrodes proximate to one or more target nerves. Non-limiting embodiments include systems, electrode structures, electrode positions, mapping methodologies, sensors arrangements, and associated graphical user interfaces for interfacing with systems described herein.


BACKGROUND

Critical care patients, particularly those requiring invasive mechanical ventilation (MV), are known to experience higher levels of diaphragm, lung, brain, heart, and other organ injury. The respiratory muscles (e.g., diaphragm, sternocleidomastoid, scalenes, pectoralis minor, external intercostals, internal intercostals, abdominals, quadratus, etc.) are known to rapidly lose mass and strength during MV. The lungs suffer from ventilator-induced trauma, including both high and low pressure injuries. Cognitive effects of MV are believed to be caused by several factors, including aberrant neuro-signaling and inflammatory responses. To prevent these negative side effects, it is important to keep patients on MV for as short a time as possible. However, rapid respiratory muscle atrophy in MV patients makes it challenging to transition many patients away from a dependency on MV. Options are limited for strengthening the respiratory muscles of critical care patients, particularly for those that are on MV, so that they can quickly regain the ability to breathe without external respiratory support.


SUMMARY

Embodiments of the present disclosure relate to, among other things, systems, devices, and methods for applying stimulation to one or more anatomical targets. Embodiments of the systems, methods, and user interfaces for the systems and methods described herein, may be used with alternatives and/or supplements to MV, such as, for example, stimulation of respiratory nerves and/or respiratory muscles. Each of the embodiments disclosed herein may include one or more of the features described in connection with any of the other disclosed embodiments.


In one example, a system for stimulating body tissue may comprise a user interface and a control unit including a processor and a non-transitory computer readable medium storing instructions. The instructions, when executed by the processor, may cause the processor to identify an electrode combination and determine a threshold charge for use in stimulating the body tissue, based at least partially on input received via the user interface.


Any of the systems disclosed herein may include any of the following features. The instructions stored in the non-transitory computer readable medium may cause the processor, when identifying the electrode combination, to select a set of electrode combinations from a domain of electrode combinations, stimulate from all selected electrode combinations, and receive input on whether a requisite stimulation was detected for each stimulation. The instructions stored in the non-transitory computer readable medium may cause the processor, when identifying the electrode combination, to individually select an electrode combination from the set of electrode combinations which provided the requisite stimulation, stimulate from the individually selected electrode combination, and for each stimulation, receive input on whether the requisite stimulation was detected. Receiving input on whether the requisite stimulation was detected may include prompting a user to provide feedback via the user interface on whether the requisite stimulation was detected. The instructions stored in the non-transitory computer readable medium may cause the processor, when determining a threshold charge, to determine a coarse threshold charge and a fine threshold charge. Further, when identifying a coarse threshold charge, the instructions stored in the non-transitory computer readable medium may cause the processor to perform an electrode sweep at a first charge, receive input on whether a requisite stimulation was detected, and if the requisite stimulation was detected, set the coarse threshold charge at a charge of the most recent electrode sweep, or, if the requisite stimulation was not detected, perform an electrode sweep at a second charge greater than the first charge. When identifying a fine threshold charge, the instructions stored in the non-transitory computer readable medium may cause the processor to select a charge level that corresponds to a determined coarse threshold, determine a domain of charges based on the determined coarse threshold, deliver stimulation at the charge level corresponding to the determined coarse threshold, and receive input on whether the requisite stimulation was detected. Systems for stimulating body tissue described herein may include one or more stimulation arrays supported on an intravenous catheter, and the body tissue is a muscle that activates a lung or nerve that innervates a muscle that activates a lung. The user interface may include an anatomical indication window, one or more phase buttons, and one or more stimulation level indication windows.


An example system for stimulating body tissue may comprise one or more sensors, a stimulation array, a user interface, and a control unit including a processor and a non-transitory computer readable medium. The sensors may be configured to be affixed to, or inserted in, a body to measure one or more physiological parameters of the body. The non-transitory computer readable medium may store instructions that, when executed by the processor, causes the processor to assess a position of the stimulation array, determine an electrode combination of the stimulation array for use in stimulating body tissue, and determine a threshold charge for use in stimulating the body tissue.


Any of the systems or methods disclosed herein may include any of the following features. The instructions stored in the non-transitory computer readable medium may cause the processor, when identifying the electrode combination, to select a set of electrode combinations form a domain of electrode combinations, stimulate from all selected electrode combinations, receive input on whether requisite stimulation was detected during stimulation from all selected electrode combinations, individually select an electrode combination from the set of electrode combinations which provided requisite stimulation, stimulate from the individually selected electrode combination, and receive input on whether the requisite stimulation was detected during stimulation from the individually selected electrode combination. The instructions stored in the non-transitory computer readable medium may cause the processor, when determining a threshold charge, to perform an electrode sweep at a first charge, receive input on whether requisite stimulation was detected, and if requisite stimulation was detected, set the coarse threshold charge at the charge of the most recent electrode sweep, or if requisite stimulation was not detected, perform an electrode sweep at a second charge, wherein the second charge is greater than the first charge. One or more sensors of a system for stimulating body tissue may include sensors configured to detect airway pressure, airway flowrate, transpulmonary pressure, tidal volume, blood gas levels, heart rate, breathing rate, impedance, lung gas distribution, electromyographic activity, transdiaphragmatic pressure, or a combinations thereof. The instructions stored in the non-transitory computer readable medium may cause the processor to assist a user in determining if the one or more stimulation arrays are correctly placed, relative to a patient, and/or schedule a number of stimulations within a set time interval. The stimulation array may include at least two groups of electrodes. Identifying an electrode combination may include identifying an electrode combination for each group of electrodes and identifying a threshold charge may include identifying a threshold charge for each group of electrodes. The instructions stored in the non-transitory computer readable medium may cause the processor, when prompted by a user, to terminate the delivery of stimulation energy. The instructions stored in the non-transitory computer readable medium may cause the processor to determine whether a stimulation would exceed a maximum allowable charge.


In one example, a system for stimulating body tissue may include a catheter, a user interface, and a control unit. The catheter may include a plurality of electrodes. The control unit may include a processor and a non-transitory computer readable medium storing instructions that, when executed by the processor, causes the processor to, based on input received via the user interface, determine a coarse threshold suitable for stimulating the body tissue, identify and electrode combination from the plurality of electrodes, and determine a fine threshold suitable for stimulating the body tissue via the identified electrode combination. The body tissue may be a phrenic nerve and the electrode combination may be used to deliver stimulation to the phrenic nerve.


Any of the systems or methods disclosed herein may include any of the following features. The instructions stored in the non-transitory computer readable medium may cause the processor to determine whether the catheter is placed in a position, relative to a body, suitable for delivering stimulation to the body tissue. The instructions stored in the non-transitory computer readable medium may cause the processor, when prompted by a user, to schedule a number of stimulations within a set time interval, where each stimulation of the number of stimulations is delivered via the identified electrode combination, and the number of stimulations and the duration of the time interval are parameters adjustable via the user interface.





BRIEF DESCRIPTION OF THE DRAWINGS

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate non-limiting embodiments of the present disclosure and together with the description serve to explain the principles of the disclosure.



FIG. 1 illustrates a schematic view of a system including a GUI engine and an application engine, according to various embodiments of the present disclosure;



FIG. 2 illustrates a schematic view of a graphic user interface for placement mode operations, according to one or more embodiments of the present disclosure;



FIG. 3 illustrates a schematic view of a graphic user interface for mapping mode operations, according to various embodiments;



FIG. 4 illustrates a schematic view of a graphic user interface for therapy mode operations, according to one or more embodiments;



FIG. 5 is a flowchart of a method according to an embodiment of the present disclosure;



FIG. 6 illustrates the anatomy of selected tissues and anatomical lumens in a patient, along with an exemplary electrode array placed according to one or more embodiments of the present disclosure;



FIG. 7 is a flowchart of a method according to an embodiment of the present disclosure;



FIG. 8 is a flow chart of a method according to an embodiment of the present disclosure; and



FIG. 9 is a flow chart of a method according to an embodiment of the present disclosure.





DETAILED DESCRIPTION

Throughout the following description, specific details are set forth to provide a more thorough understanding to persons skilled in the art. The following description of examples of the technology is not intended to be exhaustive or to limit the system to the precise forms of any example embodiment. Accordingly, the description and drawings are to be regarded in an illustrative sense, rather than a restrictive sense.


Further aspects of the disclosures and features of example embodiments are illustrated in the appended drawings and/or described in the text of this specification and/or described in the accompanying claims. It may be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the invention, as claimed. As used herein, the terms “comprises,” “comprising,” “including,” “having,” or other variations thereof, are intended to cover a non-exclusive inclusion such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements, but may include other elements not expressly listed or inherent to such a process, method, article, or apparatus. Additionally, the term “exemplary” is used herein in the sense of “example,” rather than “ideal.”


As used herein, the term “proximal” means a direction closer to an operator and the term “distal” means a direction further from an operator. The term “approximately” or like terms (e.g., “about,” “substantially”) encompass values within 10% of the stated value.


Reference will now be made in detail to examples of the present disclosure described above and illustrated in the accompanying drawings. Wherever possible, the same reference numbers will be used throughout the drawings to refer to the same or like parts.


Lung Control Unit (LCU)


In one or more embodiments, a system may include one or more stimulation arrays, such as for example, electrode arrays, connected (e.g., via a wired or wireless connection), to one or more circuits, processors, devices, systems, sub-systems, applications, units, or controllers. Each stimulation array of the one or more stimulation arrays may include one or more nodes for delivering stimulation (e.g., one or more electrodes for delivering stimulation). The one or more stimulation arrays may be configured to be placed on, or inserted into, a patient (e.g., a neck, torso, blood vessel, etc., of the patient). In some embodiments, the one or more stimulation arrays may be supported on a catheter (e.g., a catheter configured for insertion into the patient, such as, for example, an intravenous catheter).


One or more user interfaces, as described below, may be used in combination with one or more systems, catheters, apparatuses, stimulation arrays, and electrodes, such as, for example, a Lung Control Unit (LCU). One exemplary LCU architecture is shown in FIG. 1.


As shown in FIG. 1, an LCU 100 may include a GUI engine 110 which may be in communication with an application engine 150. The GUI engine 110 is primarily responsible for interfaces to the user and is used for configuring and monitoring system operation. A user interface 120 may be used to facilitate communication between a user and the GUI engine 110 and may include, for example, one of the user interfaces 120 described herein (e.g., placement mode GUI 200, mapping mode GUI 300, or therapy mode GUI 400). The GUI engine 110 may include an off-the-shelf single board computer (SBC). The GUI engine 110 may interface to one or more of a user interface 120, which may include a touchscreen, a video monitor, a remote controller, image display, tablet, smartphone, remote controller, and/or a touch sensor. Any of the user interfaces may provide visual, audible, or tactile information to the user. One or more touchscreens and/or video monitors may be in communication with the GUI engine 110 via, for example, a video graphics array (VGA) connector. One or more touch sensors may be in communication with the GUI engine 110 via, for example, a serial communication interface (e.g., RS-232). Other inputs to the GUI engine 110 may be transmitted via USB connection 125 (e.g., inputs from external communication tools, inputs from remote control devices). GUI engine 110 may also output data (e.g., data related to one or more stimulation parameters, one or more physiological parameters of a patient, or one or more operating parameters of a stimulation engine 170) to one or more other devices (e.g., a mechanical ventilator). In some embodiments, the GUI engine 110 may be in communication with a speaker 116 (e.g., a buzzer integrated into an SBC) and may be configured to output audio via speaker 116. The GUI engine 110 may be in communication with a mass storage device 112 (e.g., a solid-state drive (SSD)) via a serial interface (e.g., a serial AT attachment (SATA), such as, for example, a mini-SATA (m-SATA) interface).


The GUI engine 110 may be in two-way communication with an application engine 150 via a serial port (e.g., an isolated serial port). The application engine 150 may include one or more microcontrollers that control the stimulation and monitoring (e.g., an applications controller and/or a system health monitor 160). An application controller may control interfaces to a subject and therapy delivery. For example, the application controller may convert, modify, and/or translate signals or instructions from application engine 150 to electrical signals (e.g., stimulation pulses) delivered by stimulation engine 160. Accordingly, the application controller may facilitate bidirectional communication from the application engine 150 to the GUI engine 110, bidirectional communication from the application engine 150 to a system health monitor 160, stimulation voltage and current measurements, and/or bidirectional communication from the application engine 150 to the stimulation engine 170. The application engine 150 and the system health monitor 160 may be in communication via, for example, an asynchronous serial interface (e.g., a universal asynchronous receiver-transmitter (UART)) or general-purpose input/output (GPIO). The application engine 150 may interface with one or more voltage or current measuring devices (e.g., a stimulation monitor 175) via an analog-to-digital converter (ADC). The application engine 150 and the stimulation engine 170 may be in communication via, for example, a synchronous serial interface (e.g., a serial peripheral interface (SPI)) or GPIO.


The system health monitor 160 is primarily responsible for ensuring the delivery of therapy is safe and meets internal and external safety parameters. The system health monitor 160 interfaces with the stimulation electronics, e.g., stimulation engine 170, including the means for providing stimulation (e.g., one or more stimulation arrays, one or more electrodes, or a catheter/needle including one or more electrodes, or other stimulation device), for example, via application engine 150. In some embodiments, the stimulation monitoring unit 175 may monitor one or more aspects of the delivered stimulation, such as, identity of stimulation array (e.g., electrode(s) or electrode array(s)) delivering stimulation, stimulation amplitude, stimulation pulse width, stimulation frequency, stimulation duration, total charge delivered, etc., and communicate these aspects to system health monitor 160 (e.g., via application engine 150). System health monitor 160 may also monitor one or more aspects of the patient's health, such as, configured to detect airway pressure, airway flowrate, transpulmonary pressure, tidal volume, blood gas levels, heart rate, impedance, electromyographic activity, transdiaphragmatic pressure, and/or breathing rate and timing, via one or more sensors configured to monitor a physiological or other characteristic of the patient. The one or more sensors, such as, for example, sensors configured to detect airway pressure, airway flowrate, transpulmonary pressure, tidal volume, blood gas levels, heart rate, breathing rate, impedance (e.g., sensors configured for electrical impedance tomography), lung gas distribution, electromyographic activity, transdiaphragmatic pressure, or a combination thereof, may be configured to be affixed to a patient or inserted into a patient.


The stimulation engine 170 facilitates delivering stimulation to one or more anatomical targets (e.g., lung-accessories such as nerves and/or muscles related to respiration) via, for example, a single electrode combination (two, three, or more electrodes in a multi-polar configuration) at a given point in time. The stimulation may be delivered as a result of a request from the application controller. As used herein, delivered stimulation may refer to a finite number of stimulation pulses (in placement, mapping, or therapy modes) to be delivered to an anatomical target via an individual electrode combination. In some embodiments, the number and/or properties of stimulation pulses in delivered stimulation may depend on the stimulation duration, pulse frequency, stimulation frequency, stimulation pulse width, stimulation amplitude (current), any of which could be a selectable or programmable parameter via user interface 120.


The stimulation engine 170 may control stimulation timing and/or charge for delivered stimulation according to parameters passed from the application engine 150 prior to the commencement of stimulation delivery. In therapy mode, as described in greater detail below, the application controller may instruct the stimulation engine 170 to deliver repeated stimulation upon request from the user. In placement mode or mapping mode, the application controller may instruct the stimulation engine 170 to deliver multiple stimulation pulses, each consisting of a single stimulation pulse or series of finite pulses to a given electrode combination in order to achieve the stimulation deliveries required for placement mode and mapping mode. The frequency of the series of finite pulses in delivered stimulation may be different in different modes, for example in mapping or placement mode the frequency could be approximately 1 Hz to approximately 4 Hz and in the therapy mode the frequency could be approximately 8 Hz, approximately 10 Hz, approximately 11 Hz, approximately 15 Hz, approximately 20 Hz, approximately 25 Hz, approximately 40 Hz or other similar frequency.


One or more stimulation arrays may include one or more groups of electrodes. The electrodes may be configured to deliver stimulation as monopolar, bipolar, tripolar, or multipolar electrodes. As used herein, a stimulation being transmitted by an electrode may refer to an electrical signal being transmitted by a single electrode (anode) on the catheter to the ground reference (cathode) that is placed away from the anode to generate a larger electrical field (monopolar electrical stimulation), an electrical signal being transmitted from a anode electrode to cathode electrode on the catheter (bipolar stimulation), or an electrical signal being transmitted from one or more electrodes to one or more other electrodes (multipolar electrical stimulation) (e.g., from a cathode to two anodes, from two cathodes to an anode, or from a cathode to three or more anodes). As any of these electrode combinations and configurations are contemplated, for clarity when referring to one or more processes, methods, or modes of operation, such types of electrical signal transmission may all be referred to as a stimulation being transmitted by an electrode or an electrode combination.


As described above, one or more embodiments may include a computer system, such as, for example, computer systems that include a processor, e.g., a central processing unit (CPU), a graphics processing unit (GPU), or both. The processor may be a component in a variety of systems. For example, the processor may be part of a standard personal computer or a workstation. The processor may be one or more general processors, digital signal processors, application specific integrated circuits, field programmable gate arrays, servers, networks, digital circuits, analog circuits, combinations thereof, or other now known or later developed devices for analyzing and processing data. The processor may implement a software program, such as code generated manually (i.e., programmed).


A controller (e.g., application controller) may include a processor that is generally configured to accept information from one or more other components of an LCU 100, and process the information according to various algorithms to produce control signals for controlling the other components of LCU 100, such as, for example, stimulation engine 170. For example, the processor may accept information from the system and system components (e.g., user interface 120 or system health monitor 160), process the information according to various algorithms, and produce information signals that may be directed to visual indicators, digital displays, audio tone generators, or other indicators of, e.g., a user interface, in order to inform a user of the system status, component status, procedure status or any other information that is being monitored by the system. The processor may be a digital IC processor, analog processor or any other suitable logic or control system that carries out the control algorithms


Further, one or more computer systems (e.g., LCU 100) described herein may include a memory. The memory may be a main memory, a static memory, or a dynamic memory (e.g., mass storage device 112). The memory may include, but is not limited to computer readable storage media such as various types of volatile and non-volatile storage media, including but not limited to random access memory, read-only memory, programmable read-only memory, electrically programmable read-only memory, electrically erasable read-only memory, flash memory, magnetic tape or disk, optical media and the like. In one implementation, the memory includes a cache or random-access memory for the processor. In alternative implementations, the memory is separate from the processor, such as a cache memory of a processor, the system memory, or other memory. The memory may be an external storage device or database for storing data. Examples include a hard drive, compact disc (“CD”), digital video disc (“DVD”), memory card, memory stick, floppy disc, universal serial bus (“USB”) memory device, mass storage device 112, or any other device operative to store data. The memory is operable to store instructions executable by the processor. The functions, acts or tasks illustrated in the figures (e.g., FIGS. 5, and 7-9) or described herein may be performed by the programmed processor executing the instructions stored in the memory. The functions, acts or tasks are independent of the particular type of instructions set, storage media, processor or processing strategy and may be performed by software, hardware, integrated circuits, firm-ware, micro-code and the like, operating alone or in combination. Likewise, processing strategies may include multiprocessing, multitasking, parallel processing and the like.


In some systems, a computer-readable medium includes instructions or receives and executes instructions responsive to a propagated signal so that a device connected to a network can communicate voice, video, audio, images, or any other data over the network. Further, the instructions may be transmitted or received over the network via a communication port or interface. The communication port or interface may be a part of the processor or may be a separate component. The communication port may be created in software or may be a physical connection in hardware. The communication port may be configured to connect with a network, external media, user interface 120, or any other components in LCU 100, or combinations thereof. The connection with the network may be a physical connection, such as a wired Ethernet connection or may be established wirelessly. Likewise, the additional connections with other components of the LCU 100 may be physical connections or may be established wirelessly.


While the computer-readable medium is shown to be a single medium, the term “computer-readable medium” may include a single medium or multiple media, such as a centralized or distributed database, and/or associated caches and servers that store one or more sets of instructions. The term “computer-readable medium” may also include any medium that is capable of storing, encoding, or carrying a set of instructions for execution by a processor or that cause a computer system to perform any one or more of the methods or operations disclosed herein. The computer-readable medium may be non-transitory, and may be tangible.


User Interface


Systems and methods described herein may fall generally within three phases of operation: placement mode, mapping mode, and therapy mode. User interface 120 may change during each phase of operation or a user may be able to select between and/or navigate between each phase of operation. Arrangements of features of user interface 120 as they apply to each phase of operation may be described below, according to one or more embodiments. It should be understood that features of a user interface 120 according to one embodiment may be interchanged or used in combination with features of a user interface 120 according to one or more other embodiments. Further, although one or more buttons, zones, regions, displays, or other features of user interfaces 120 are shown in FIGS. 2-4 to be rectangular in shape, this is for clarity of illustration only. The one or more buttons, zones, regions, displays, or other features of the user interfaces 120 described herein may be of any shape (e.g., circular, ovular, oblong, triangular, etc.), size, color, orientation, or relative position.


Placement mode may be used just after the one or more stimulation arrays (e.g., supported on a catheter or other stimulation delivery system) has been inserted into, or placed in proximity to, a patient or adjusted relative to the patient. Placement mode may include executing a subset of left side mapping operations (e.g., left coarse threshold assessment, a coarse threshold assessment process 1100) where the user can quickly check for, as an example, contractions of one or more muscles associated with respiration to verify placement of a stimulation catheter.


In some embodiments, placement mode may include sensing the position of a catheter (e.g., a catheter supporting one or more stimulation arrays) within the body of a patient and providing feedback on such position to LCU 100. By way of non-limiting example, one or more sensors (e.g., an electrode supported on the catheter), may be used to detect a signal from the body (e.g., cardiac signals). Based on the characteristics of one or more detected signals, the LCU 100 may determine an appropriate placement of the catheter, relative to the body of the patient. During such operations, one or more components of a user interface 120 (e.g., an anatomical indication window 230 of placement mode GUI 200) may include a pictorial representation of the catheter in the patient, such as, for example, color signals (e.g. red, yellow, green) in select geographic shapes (e.g. circle, rectangle, oval, etc.) indicating a proximity to a target location. Additionally or in the alternative, sounds or other cues may be used to indicate placement or movement of a catheter.


Referring to FIG. 2, an exemplary user interface 120 for a user to interface with the LCU 100 during placement mode is shown, e.g., a placement mode GUI 200. Placement mode GUI 200 may be displayed on a touchscreen display, or other display means that allows for interactivity.


Placement mode GUI 200 may include a status bar 205, a notification box 210, an anatomical indication window 230, a stimulation indication window 240, one or more phase buttons 250a, 250b, 250c, and/or one or more action buttons 260a to 260e. Status bar 205 may be placed along an edge of placement mode GUI 200, such as, for example, along the top edge of placement mode GUI 200. Status bar 205 may display information (e.g., via graphic, text, or a combination thereof) related to the operation of the LCU 100. For example, status bar 205 may display information relating to the phase of operation (e.g., placement mode), date, time, parameters of stimulation, parameters of the patient, parameters of another device (e.g., a mechanical ventilator), session ID, LCU ID, or combinations thereof.


Notification box 210 may display information relating to operations of the LCU 100, such as, for example, a summary of stimulations recently delivered to a patient, instructions to a user, or a summary of parameters of stimulation. In some embodiments, notification box 210 is the primary means of placement mode GUI 200 to communicate instructions to the user regarding placement mode operations. For example, text or graphic instructions within notification box 210 may include instructions for the user to use LCU 100 through the placement mode phase of operations.


Anatomical indication window 230 may display graphics or text indicative of one or more anatomical structures, delivered electrical stimulation, or electrical stimulation delivered to one or more anatomical structures. For example, anatomical indication window 230 may include one or more images or renderings of a patient, a single lung, a pair of lungs, a diaphragm, one or two hemi-diaphragms, one or more blood vessels (e.g., jugular vein, subclavian vein, superior vena cava, subclavian artery, aorta, carotid artery), one or more nerves (e.g., left phrenic nerve, right phrenic nerve, vagus nerve, one or more cervical nerves), one or more electrodes, one or more stimulation arrays, a catheter supporting one or more stimulation arrays, or a combination thereof. Anatomical indication window 230 may also include text indicative of one or more anatomical structures, delivered electrical stimulation, or electrical stimulation delivered to one or more anatomical structures, such as, for example, left and right side designations. Various parts of anatomical indication window 230 may light up, change color, or otherwise be indicated when stimulation is being applied to one or more afferents of the indicated part. For example, during placement mode operations, stimulation may be delivered to nerves and/or muscles that are connected to or associated with the left lung. During the delivery of such stimulation to accessory anatomical structures of the left lung, a left lung part of anatomical indication window 230 (e.g., a left portion of the diaphragm and/or the left lung) may light up, change color, or otherwise be indicated. Similar indications may be made in anatomical indication window 230 which represent the delivery or placement of an electrode array or electrical stimulus to any anatomical structure (e.g., stimulation affecting a right lung, stimulation proximate to a vein, stimulation from an electrode array positioned proximate a hemi-diaphragm).


Stimulation indication window 240 may provide information to a user regarding one or more stimulation parameters. In some embodiments, stimulation indication window 240 includes one or more stimulation level indicators 242a to 242f For example, still referring to FIG. 2, stimulation indication window 240 may include a plurality of stimulation level indicators 242a, 242b, 242c, 242d, 242e, 242f. Each stimulation level indicator 242a-f may include a number or letter indicating an order of stimulation level indicators 242a-f. For example, each stimulation level indicator 242a-f may include a number or letter, and each stimulation level indicator 242a-f may be arranged in numerical or alphabetical order (e.g., stimulation level indicator 242a may be labeled with a “1,” stimulation level indicator 242b may be labeled with a “2,” etc.; stimulation level indicator 242f may be labeled with a “1,” stimulation level indicator 242e may be leveled with a “2,” etc.; stimulation level indicator 242a may be labeled with an “A,” stimulation level indicator 242b may be labeled with a “B,” etc.; or stimulation level indicator 242f may be labeled with an “A,” stimulation level indicator 242e may be leveled with a “B,” etc.). Although stimulation indication window 240 is shown in FIG. 2 as including six stimulation level indicators 242a-f, this is only one example. Stimulation indication window 240 may have any amount of stimulation level indicators 242a-f suitable for placement operations.


Each stimulation level indicator 242a-f of stimulation indication window 240 may represent a different value of a stimulation parameter. For example, each stimulation level indicator 242a-f may represent a different stimulation amplitude, stimulation pulse width, stimulation frequency, stimulation duration, stimulation charge, or electrode combination delivering stimulation. For example, stimulation level indicator 242a could represent stimulation with an amplitude of 1 milliampere (mA), stimulation level indicator 242b could represent stimulation with a charge of 3 mA, stimulation level indicator 242c could represent a stimulation with a charge of 5 mA, etc. As stimulations are delivered with varying stimulation parameters (e.g., stimulation delivered with increasing charge, stimulation delivered with increasing pulse width, stimulation delivered from different electrodes, etc.), the stimulation level indicator 242 which corresponds to the stimulation parameter delivered, may be highlighted, light up, change color, or otherwise indicated. Referring to the previous example, if stimulation level indicator 242a represents stimulation with a charge of 1 mA, stimulation level indicator 242b represents stimulation with a charge of 3 mA, and stimulation level indicator 242c represents a stimulation with a charge of 5 mA, then, as a 1 mA charge is delivered, stimulation level indicator 242a will become highlighted, light up, change color, or otherwise be indicated. As placement mode or another mode of operation progresses, a stimulation with a charge of 3 mA may be delivered and stimulation level indicator 242b may then become highlighted, light up, change color, or otherwise be indicated.


Still referring to FIG. 2, a user interface 120 (e.g., placement mode GUI 200) may include one or more phase buttons 250a, 250b, 250c. In some embodiments, each phase button 250a-c refers to a phase of operation. For example, phase button 250a may be labeled as “Placement Mode” and may correspond to placement mode, phase button 250b may be labeled as “Mapping Mode” and may correspond to mapping mode, and phase button 250c may be labeled “Therapy Mode” and may correspond to therapy mode. Referring to the previous example, when the LCU 100 is in placement mode, phase button 250a of placement mode GUI 200 may be highlighted, lit up, of a different color phase buttons 250b and 250c, or otherwise indicated.


Each phase button 250a-c, when selected, may cause the operation of LCU 100 to switch phases to the corresponding phase, or vice versa (operating in a particular mode switches highlighting, color indications, etc. of the corresponding phase button 250a-c). For example, for an LCU 100, operating in placement mode, when a user presses phase button 250b, the LCU 100 may switch operation from placement mode to mapping mode. When LCU 100 switches phases of operation, the phase button 250a-c corresponding to the new phase may be highlighted, lit up, of a different color than other phase buttons 250, or otherwise indicated. The switching of phases of operation, along with the switching of indicated phase button 250a-c, may, in some embodiments, be functionally similar to a tabbed operation, where each phase button 250a-c acts as a tab for its corresponding phase of operation. In some embodiments, each phase button 250a-c is inactive while operations are being performed. Stated another way, some operations of LCU 100 (e.g., operations that are a part of placement phase or mapping phase) may lock-out other phases of operation, or prevent a user from changing the phase of operation.


Still referring to FIG. 2, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a, 260b, 260c, 260d, and 206e. The one or more action buttons 260 may allow a user to instruct the LCU 100 to begin, resume, pause, start, modify, or end one or more processes related to stimulation. In one or more embodiments, a user interface 120 (e.g., a placement mode GUI 200) may include one or more of: an “enable” action button, a “start” action button, a “response” action button, a “retry” action button, a “next” action button, a “stop” action button, a “completion” action button, an “end session” action button, or a combination thereof. Various types, combinations, and configurations of action buttons 260, according to one or more embodiments, are described below.


For example, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a-f that enable a user to activate and/or deactivate the LCU 100 system and/or user interface 120 (e.g., an “enable” action button). For example, according to one or more embodiments, one or more action buttons 260a-f may function as an enabling toggle switch, that varies in one of two states. The two states may be represented by a color change, an accent, or other modification that indicates the switch (e.g., an “enable” action button) has changed states. In one state of the toggle switch, the LCU 100 system is able to deliver stimulation, and the user interface 120 (e.g., placement mode GUI 200) is able to accept commands. In the other state of the toggle switch, the LCU 100 system is not able to deliver stimulation and the user interface 120 is blocked or inactivated from receiving input (e.g., input other than the action button 260a-f functioning as the toggle switch).


According to one or more embodiments, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a-f that allow a user to start the selected phase of operation (e.g., a “start” action button). As described in greater detail herein, each phase of operation (e.g., placement mode, mapping mode, or therapy mode) may include one or more associated processes. In some embodiments, a user interface 120 (e.g., a placement mode GUI 200) may guide a user through one or more processes related to stimulation, such as, for example, confirming placement of one or more stimulation arrays. In some embodiments, by pressing a “start” action button, one or more components of the LCU 100 (e.g., a user interface 120 and/or one or more stimulation arrays), may be triggered to begin one or more processes related to stimulation and/or begin guiding the user through one or more processes related to stimulation.


In some embodiments, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a-f that allow a user to indicate whether a desired result of stimulation is occurring (e.g., a “response” action button). For example, one or more processes related to stimulation may require feedback from a user regarding whether a result of stimulation is occurring. In some embodiments, this result may be some type of indication that a nerve and/or a muscle is being stimulated. According to one or more embodiments, a user interface 120 (e.g., a placement mode GUI 200) may prompt a user to confirm a nerve and/or muscle is being stimulated, and the user may confirm the stimulation via a “response” action button. In some embodiments, a user interface 120 may have one action button 260a-f for an affirmative response and another action button 260a-f for a negative response. In other embodiments, a user interface 120 may include an action button 260a-f for affirmative responses only.


In some embodiments, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a-f that allow a user to progress to a subsequent step of one or more processes related to stimulation (e.g., a “next” action button). As described above, one or more processes related to stimulation may include a user interface 120 (e.g., a placement mode GUI 200) prompting and/or guiding a user through a series of steps (e.g., instances where a user input is required). In some embodiments, a user interface 120 may include a “next” action button that allows a user to progress to a subsequent step of an ongoing process. In addition or alternatively, a “next” action button may allow a user to progress so a subsequent process of an ongoing phase of operation (e.g., placement mode, mapping mode, therapy mode).


According to one or more embodiments, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a-f that allow a user to reiterate a previous step (e.g., a “retry” action button) of one or more processes related to stimulation. As described above, one or more processes related to stimulation may include a user interface 120 (e.g., a placement mode GUI 200) prompting and/or guiding a user through a series of steps (e.g., instances where a user input is required). A user may select the “retry” action button to repeat, redo, or reiterate a previous step or series of steps of a process. For example, one or more processes may include a stimulation delivered, and a prompt for the user to respond whether a nerve and/or muscle was stimulated. The user may select a “retry” action button to redo the stimulation. In some embodiments, a user can reiterate a process (e.g., a process of mapping mode) by pressing the “retry” action button.


In some embodiments, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a-f that allow a user to end a phase of operation (e.g., a “completion” action button). A user may select a “completion” action button when a process or a sub-process of a phase of operation is complete, or the user is done with that process or sub-process. For example, selecting the “completion” action button may trigger one or more components of the LCU 100 (e.g., a user interface 120 or one or more stimulation arrays) to stop a current process or current step of a process. A user may select a “completion” action button even when the current process is incomplete or unsuccessfully completed. In some embodiments, a user selecting a “completion” action button when a current process is incomplete or unsuccessfully completed, will trigger a notification to the user.


According to one or more embodiments, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a-f that allow a user to stop all processes being executed by LCU 100 (e.g., a “stop” action button). For example, when a user selects a “stop” action button, one or more components of LCU 100 (e.g., one or more stimulation arrays, user interface 120, system health monitor 160) may cease current operations. In some embodiments, one or more components of LCU 100 may finish their current operation or current step of a process before ceasing their operation. For example, for an LCU 100 operating in placement mode, one or more electrical pulses may be emitted from one or more stimulation arrays. In some embodiments, a user selecting a “stop” action button would cause the one or more stimulation arrays to cease transmitting electrical signals immediately. In other embodiments, a user selecting a “stop” action button would cause the one or more stimulation arrays to cease transmitting electrical signals after the current pulse. A “stop” action button may be configured to act as a type of safety enhancement switch which, when selected, cuts power to one or more components of an LCU 100 in contact with a patient.


In some embodiments, a user interface 120 (e.g., a placement mode GUI 200) may include one or more action buttons 260a-f (e.g., an “end session” action button) that allow a user to stop the current phase of operation and return to a previous screen of the user interface 120 (e.g., a main menu). For example, when a user selects an “end session” action button, one or more processes may terminate and the current phase of operation (e.g., placement mode, mapping mode, or therapy mode) may end. The selection of an “end session” action button may trigger the user interface 120 to display a menu or other splash page that allows a user to select a new phase of operation (e.g., placement mode, mapping mode, or therapy mode).


Referring now to FIG. 3, an exemplary user interface 120 for mapping mode is shown, e.g., a mapping mode GUI 300. Similar to placement mode GUI 200, mapping mode GUI 300 may be displayed on a touchscreen display, or other display means that allows for interactivity.


Mapping mode GUI 300 may include a status bar 305, a notification box 310, an anatomical indication window 330, one or more stimulation indication windows 340, 340′, one or more progress bars 345, 345′, one or more phase buttons 350a-c, one or more action buttons 360a-g. Status bar 305 may function similarly to status bar 205 of placement mode GUI 200. For example, status bar 305 may display information (e.g., via graphic, text, or a combination thereof) related to the operation of the LCU 100.


Similarly, notification box 310 may function similarly to notification box 210 of placement mode GUI 200. For example, notification box 310 may display information relating to operations of the LCU 100, such as, for example, a summary of stimulations recently delivered to a patient, instructions to a user, or a summary of parameters of stimulation. Text or graphic instructions within notification box 310 may include instructions for the user to use LCU 100 through the mapping mode phase of operations.


Anatomical indication window 330 may be functionally similar to anatomical indication window 230. For example, anatomical indication window 330 may display graphics or text indicative of one or more anatomical structures, delivered electrical stimulation, or electrical stimulation delivered to one or more anatomical structures. In one or more embodiments, anatomical indication window 330 may include one or more images or renderings of a patient, a single lung, a pair of lungs, a diaphragm, one or two hemi-diaphragms, one or more blood vessels (e.g., jugular vein, subclavian vein, superior vena cava, subclavian artery, aorta, carotid artery), one or more nerves (e.g., left phrenic nerve, right phrenic nerve, vagus nerve, one or more cervical nerves), one or more electrodes, one or more stimulation arrays, a catheter supporting one or more stimulation arrays, or a combination thereof. Anatomical indication window 330 may also include text indicative of one or more anatomical structures, delivered electrical stimulation, or electrical stimulation delivered to one or more anatomical structures, such as, for example, left and right side designations. Various parts of anatomical indication window 330 may light up, change color, or otherwise be indicated when stimulation is being applied to one or more afferents of the indicated part. For example, during mapping mode operations, during some processes, stimulation may be delivered to nerves and/or muscles that are connected or associated with the left lung while during other processes, stimulation may be delivered to nerves and/or muscles that are connected or associated with the right lung. During the delivery of stimulation to the anatomical structures associated with the left lung, a left lung part of anatomical indication window 330 and/or a left hemi-diaphragm may light up, change color, or otherwise be indicated. Similar indications may be made in anatomical indication window 330 to the right lung and/or right hemi-diaphragm parts when stimulation is delivered to anatomical structures associated with the right lung.


A mapping mode GUI 300 may include one or more stimulation indication windows (e.g., stimulation indication window 340 and stimulation indication window 340′). Each stimulation indication window 340, 340′ may provide information to a user regarding one or more stimulation parameters. According to one or more embodiments, such as the one shown in FIG. 3, a first stimulation indication window 340 may correspond to a left side of a patient's anatomy, and a second stimulation indication window 340′ may correspond to a right side of a patient's anatomy.


In some embodiments, each stimulation indication window 340, 340′ includes one or more stimulation level indicators 342a-f, 342a′-f. For example, still referring to FIG. 3, stimulation indication window 340 may include a plurality of stimulation level indicators 342a-f, and stimulation indication window 340′ may include a plurality of stimulation level indicators 342a′-f. Each stimulation indication window 340, 340′ and its component stimulation level indicators 342a-f, 342a′-f may be functionally similar to stimulation indication window 240 and its component stimulation level indicators 242a-f of placement mode GUI 200. For example, each stimulation level indicator 342a-f, 342a′-f may include a number or letter and each stimulation level indicator 342a-f, 342a′-f may be arranged in numerical or alphabetical order within its stimulation indication window 340, 340′ (e.g., stimulation level indicators 342a, 342a′ may be labeled with a “1”, stimulation level indicators 342b, 342b′ may be labeled with a “2”, etc.; stimulation level indicators 342f, 342f′ may be labeled with a “1”, stimulation level indicators 342e, 342e′ may be labeled with a “2”, etc.).


Although stimulation indication windows 340, 340′ are shown in FIG. 3 as including six stimulation level indicators 342a-f, 342a′-f each, this is only one example. Each stimulation indication window 340, 340′ may independently have any amount of stimulation level indicators 342a-f, 342a′-f, suitable for mapping. For example, stimulation indication window 340 may include six stimulation level indicators 342a-f and stimulation indication window 340′ may include five stimulation level indications 342a′-e′.


Each stimulation level indicator 342a-f, 342a′-f′ of each stimulation indication window 340, 340′ may represent a different value of a stimulation parameter. For example, each stimulation level indicator 342a-f, 342a′-f may represent a different stimulation amplitude, stimulation pulse width, stimulation frequency, stimulation duration, stimulation charge, or electrode combination delivering stimulation. For example, stimulation level indicator 342a could represent stimulation from a most distal half of electrodes on one stimulation array, stimulation level indicator 342b could represent stimulation from a the most proximal half of electrodes on one stimulation array, stimulation level indicator 342c could represent stimulation from a medial third of electrodes on one stimulation array, stimulation level indicator 342a′ could represent stimulation from a most distal half of electrodes on a second stimulation array, stimulation level indicator 342b′ could represent stimulation from a most proximal half of electrodes on the second stimulation array, stimulation level indicator 342c′ could represent stimulation from a medial third of electrodes on the second stimulation array, etc. As stimulations are delivered with varying stimulation parameters (e.g., stimulation delivered with increasing charge, stimulation delivered with increasing pulse width, stimulation delivered from different electrodes, etc.), the stimulation level indicator 342a-f, 342a′-f which corresponds to the stimulation parameter delivered, may be highlighted, light up, change color, or otherwise indicated.


Referring to the previous example, if stimulation level indicator 342a represents stimulation from a most distal half of electrodes on one stimulation array, stimulation level indicator 342b represents stimulation from a most proximal half of electrodes on one stimulation array, stimulation level indicator 342c represents stimulation from a medial third of electrodes on one stimulation array, then, as stimulation is delivered from the most distal half of electrodes on one stimulation array, stimulation level indicator 342a will become highlighted, light up, change color, or otherwise be indicated. As mapping mode or another mode of operation progresses, a stimulation may be delivered from the most proximal half of electrodes on the stimulation array, and stimulation level indicator 342b may then become highlighted, light up, change color, or otherwise be indicated.


A user interface 120 (e.g., a mapping mode GUI 300) may include one or more progress bars 345, 345′. Each progress bar 345, 345′ may provide a textual or pictorial indication of the progress of one or more methods related to stimulation. For example, in one or more embodiments where stimulation indication window 340 corresponds to the left side of a patient's anatomy, progress bar 345 may indicate the overall progress of completing mapping operations (described in greater detail below) of the left side of a patient's anatomy. Similarly, where stimulation indication window 340′ corresponds to the right side of a patient's anatomy, progress bar 345′ may indicate the overall progress of completing mapping operations (described in greater detail below) of the right side of a patient's anatomy. In some embodiments, a progress bar 345, 345′ may indicate the progress of one or more processes or sub-processes that are a part of mapping operations. Portions of a length of the progress bar 345, 345′ may light up, or otherwise be indicated progressively. For example, a first portion of a length of progress bar 345, 345′ may be lit up after a first process of mapping operations is complete, and a second portion of a length of the progress bar 345, 345′, adjacent to the first portion of a length of the progress bar 345, 345′ may be lit up after a second process of mapping operations is complete.


Still referring to FIG. 3, a user interface 120 (e.g., mapping mode GUI 300) may include one or more phase buttons 350a, 350b, 350c. Similar to phase buttons 250a-c of placement mode GUI 200, in some embodiments, each phase button 350a-c may refer to a phase of operation. For example, phase button 350a may be labeled as “Placement Mode” and may correspond to placement mode, phase button 350b may be labeled as “Mapping Mode” and may correspond to mapping mode, and phase button 350c may be labeled “Therapy Mode” and may correspond to therapy mode. Referring to the previous example, when in the LCU 100 is in mapping mode, phase button 350b of mapping mode GUI 300 may be highlighted, lit up, of a different color than phase buttons 350a and 350c, or otherwise indicated.


Each phase button 350a-c may be functionally similar to phase buttons 250a-c of placement mode GUI 200. For example, when selected, phase buttons 350a-c may cause the operation of LCU 100 to switch phases to the corresponding phase or vice versa (operating in a particular mode switches highlighting, color indications, etc. of the corresponding phase button 350a-c). For example, for an LCU 100, operating in mapping mode, when a user presses phase button 350c, the LCU 100 may switch operation from mapping mode to therapy mode. When LCU 100 switches phases of operation, the phase button 350a-c corresponding to the new phase may be highlighted, lit up, of a different color than other phase buttons 350a-c, or otherwise indicated.


Still referring to FIG. 3, a user interface 120 (e.g., a mapping mode GUI 300) may include one or more action buttons 360a, 360b, 360c, 360d, 360e, 360f, 360g. The one or more action buttons 360a-g may allow a user to instruct the LCU 100 to begin, resume, pause, start, modify, or end one or more processes related to stimulation. In one or more embodiments, a user interface 120 (e.g., a mapping mode GUI 300) may include one or more of: an “enable” action button, a “start” action button, a “response” action button, a “retry” action button, a “next” action button, a “stop” action button, a “completion” action button, an “end session” action button, or a combination thereof. The functions of various types of action buttons 360a-g, are described above in relation to action buttons 260a-e of placement mode GUI 200.


Referring now to FIG. 4, an exemplary user interface 120 for therapy mode is shown, e.g., a therapy mode GUI 400. Similar to placement mode GUI 200 and mapping mode GUI 300, therapy mode GUI 400 may be displayed on a touchscreen display, or other display means that allows for interactivity. In some embodiments, a user interface 120 may include placement mode GUI 200, mapping mode GUI 300, and therapy mode GUI 400.


Therapy mode GUI 400 may include a status bar 405, a notification box 410, an anatomical indication window 430, one or more stimulation intensity windows 441, 441′ one or more stimulation intensity adjustment keys 442a,b, 442a′, b′, one or more therapy parameter windows 445a-d, one or more therapy parameter adjustment keys 446a-d, 446a′-d′, one or more phase buttons 450a-c, one or more action buttons 460a-e, one or more timed therapy status windows (e.g., delivered therapy status window 475 and scheduled therapy status window 470), or a combination thereof.


Still referring to FIG. 4, status bar 405 may function similarly to status bar 205 of placement mode GUI 200 or status bar 305 of mapping mode GUI 300. For example, status bar 405 may display information (e.g., via graphic, text, or a combination thereof) related to the operation of the LCU 100.


Further, notification box 410 may function similarly to notification box 210 of placement mode GUI 200 or notification box 310 of mapping mode GUI 300. For example, notification box 410 may display information relating to operations of the LCU 100, such as, for example, a summary of stimulations recently delivered to a patient, instructions to a user, or a summary of parameters of stimulation. Text or graphic instructions within notification box 410 may include instructions for the user to use LCU 100 through the therapy mode phase of operations.


Anatomical indication window 430 may be functionally similar to anatomical indication window 230 or anatomical indication window 330. For example, anatomical indication window 430 may display graphics or text indicative of one or more anatomical structures, delivered electrical stimulation, or electrical stimulation delivered to one or more anatomical structures. In one or more embodiments, anatomical indication window 430 may include one or more images of a patient, a single lung, a pair of lungs, a diaphragm, one or two hemi-diaphragms, one or more blood vessels (e.g., jugular vein, subclavian vein, superior vena cava, subclavian artery, aorta, carotid artery), one or more nerves (e.g., left phrenic nerve, right phrenic nerve, vagus nerve, one or more cervical nerves), one or more electrodes, one or more stimulation arrays, a catheter supporting one or more stimulation arrays, or a combination thereof. Anatomical indication window 430 may also include text indicative of one or more anatomical structures, delivered electrical stimulation, or electrical stimulation delivered to one or more anatomical structures, such as, for example, left and right side designations. Various parts of anatomical indication window 430 may light up, change color, or otherwise be indicated when stimulation is being applied to one or more afferents of the indicated part. For example, during therapy mode operations, stimulation may be delivered to nerves and/or muscles that are connected or associated with the left lung and/or the right lung. During the delivery of stimulation to the anatomical structures associated with the left lung and left hemi-diaphragm, a left lung part of anatomical indication window 430 and/or a left hemi-diaphragm may light up, change color, or otherwise be indicated. Similar indications may be made in anatomical indication window 430 to the right lung and/or right hemi-diaphragm parts when stimulation is delivered to anatomical structures associated with the right lung.


Still referring to FIG. 4, a therapy mode GUI 400 may include one or more stimulation intensity windows 441, 441′. Each stimulation intensity window 441, 441′ may provide a numerical, textual, or pictorial indication of the stimulation intensity being delivered to one or more anatomical targets. For example, stimulation intensity window 441 may provide an indication of the stimulation intensity being delivered to one or more anatomical targets on the left side of the patient and stimulation intensity window 441′ may provide an indication of the stimulation intensity being delivered to one or more anatomical targets on the right side of the patient. In some embodiments, a stimulation intensity window 441, 441′ may display the charge of stimulation being delivered (e.g., an amplitude, a pulse width, a charge, or a percentage of the set fine threshold). In the example shown in FIG. 4, stimulation intensity window 441′ indicates that 100% of the fine threshold is being delivered to one or more afferents of right-side respiratory structures, and stimulation intensity window 441 indicates that 95% of the fine threshold is being delivered to one or more afferents of left-side respiratory structures.


A therapy mode GUI 400 may also include one or more stimulation intensity adjustment keys 442a,b, 442a′, b′. For example, the therapy mode GUI 400 may include one or more stimulation intensity adjustment keys 442a,b, 442a′, b′ that correspond to each stimulation intensity window 441, 441′. The stimulation adjustment keys 442a,b, 442a′, b′ may allow a user or other healthcare professional to adjust the intensity of stimulation being delivered. For example, stimulation intensity adjustment key 442a may increase the intensity of stimulation delivered to one or more muscles and/or nerves associated with left-side respiratory structures (e.g., increase the intensity to greater than 95% of the set fine threshold) and stimulation intensity adjustment key 442b may decrease the intensity of stimulation delivered to one or more muscles and/or nerves associated with left-side respiratory structures (e.g., decrease the intensity to less than 95% of the set fine threshold). Stimulation adjustment keys 442a′ and 442b′ may similar adjust the intensity of stimulation delivered to one or more muscles and/or nerves associated with right-side respiratory structures.


In addition to one or more stimulation intensity windows 441, 441′, a therapy mode GUI 400 may include one or more therapy parameter windows 445a-d. Each therapy parameter window 445a, 445b, 445c, and 445d may display one or more properties related to delivered stimulation. For example, a therapy mode GUI 400 may include one or more therapy parameter windows 445a-d that display one or more of: stimulation amplitude, stimulation pulse width, stimulation frequency, pulse frequency, stimulation timing, number of stimulation pulses to be delivered in set a time interval, duration of time interval within which a set number of stimulation pulses are to be delivered.


A therapy mode GUI 400 may also include one or more therapy parameter adjustment keys 446a-d, 446a′-d′. For example, the therapy mode GUI 400 may include one or more therapy parameter adjustment keys 446a-d, 446a′-d′ that correspond to each stimulation parameter window 445a-d. The therapy parameter adjustment keys 446a-d, 446a′-d′ may allow a user or other healthcare profession to adjust the parameters of stimulation being delivered. For example, therapy parameter window 445a may described a number of stimulation pulses to be delivered in set a time interval. Therapy parameter adjustment key 446a may increase the number of stimulation pulses delivered to one or more muscles and/or nerves associated (e.g., increase the number to greater than 10) and therapy parameter adjustment key 446a′ may decrease the number of stimulation pulses delivered to one or more muscles and/or nerves associated (e.g., decrease the number to less than 10). Stimulation adjustment keys 446b and 446b′, 446c and 446c′, 446d and 446d′ may similarly adjust the parameters of stimulation indicated in the corresponding stimulation parameters windows 445b, 445c, and 445d.


Still referring to FIG. 4, a therapy mode GUI 400 may include one or more timed therapy status windows. For example, as described in greater detail below, a user or healthcare professional may program an LCU 100 in therapy mode to deliver a set number of stimulations over a given time interval. The user interface 120 (e.g., therapy mode GUI 400) may include one or more timed therapy status windows that indicate the status of the timed stimulation delivery. For example, therapy mode GUI 400 may include a delivered therapy status window 475 that displays or otherwise indicates how many stimulations have been delivered over the time interval. In some embodiments, therapy mode GUI 400 may also include a scheduled therapy status window 470 that indicates how many prescribed (e.g., programmed) stimulations have yet to be delivered.


Still referring to FIG. 4, a user interface 120 (e.g., therapy mode GUI 400) may include one or more phase buttons 450a, 450b, 450c). Similar to phase buttons 250 of placement mode GUI 200 and phase buttons 350 of mapping mode GUI 300, in some embodiments, each phase button 450 refers to a phase of operation. For example, phase button 450a may be labeled as “Placement Mode” and may correspond to placement mode, phase button 450b may be labeled as “Mapping Mode” and may correspond to mapping mode, and phase button 450c may be labeled “Therapy Mode” and may correspond to therapy mode. Referring to the previous example, when in the LCU 100 is in therapy mode, phase button 450c of therapy mode GUI 400 may be highlighted, lit up, of a different color than other phase buttons 450a and 450b, or otherwise indicated.


Each phase button 450 may be functionally similar to phase buttons 250 of placement mode GUI 200 or phase buttons 350 of mapping mode GUI 300. In some embodiments, when selected, a phase button 450 may cause the operation of LCU 100 to switch phases to the phase corresponding to the selected phase button 450. For example, for an LCU 100, operating in therapy mode, when a user presses phase button 450a, the LCU 100 may switch operation from therapy mode to placement mode. When LCU 100 switches phases of operation, the phase button 450 corresponding to the new phase may be highlighted, lit up, of a different color than other phase buttons 450, or otherwise indicated.


Still referring to FIG. 4, a user interface 120 (e.g., a therapy mode GUI 400) may include one or more action buttons 460 (e.g., action buttons 460a, 460b, 460c, 460d, 460e). The one or more action buttons 460 may allow a user to instruct the LCU 100 to begin, resume, pause, start, modify, or end one or more processes related to stimulation. In one or more embodiments, a user interface 120 (e.g., therapy mode GUI 400) may include one or more of: an “enable” action button, a “start” action button, a “response” action button, a “retry” action button, a “next” action button, a “stop” action button, a “completion” action button, an “end session” action button, or a combination thereof. The functions of various types of action buttons 460a-e, are described above in relation to action buttons 260a-e of placement mode GUI 200.


Placement Mode


An LCU 100 may be operated in placement mode, and, in some embodiments, a user may operate the LCU 100 through a placement mode GUI 200. Placement mode, may be used to confirm placement of one or more stimulation arrays. For example, a user or healthcare professional may place one or more stimulation arrays on or in a patient. A user may then initiate placement mode via, for example, selecting a phase button 250a-c corresponding to placement mode. In some embodiments, a user may navigate to a placement mode via one or more menus of a user interface 120. As described above, selection of a phase button 250a-c corresponding to placement mode may cause the user interface 120 to display a placement mode GUI 200. A user may then start one or more processes of placement mode by selecting an action button 260a-e of placement mode GUI 200.


In one or more embodiments, placement mode may include one or more processes for confirming placement of one or more stimulation arrays. After a user initiates placement mode (e.g., via an action button 260 of placement mode GUI 200), LCU 100 may induce one or more stimulation arrays to generate a stimulation pulse. For example, each electrode of one or more stimulation arrays may emit a stimulation pulse. In some embodiments, an LCU 100 may include multiple stimulation arrays (e.g., a stimulation array of electrodes), but less than the full complement of stimulation arrays may be used in placement mode (e.g., an LCU 100 may include a distal stimulation array and a proximal stimulation array, and may only use the proximal stimulation array in placement mode). Generally, one or more stimulation arrays (e.g., each electrode of one or more stimulation arrays) may generate stimulation pulses of increasing charge until the LCU 100 (e.g., via system health monitor 160) or a user detects that a nerve, muscle, or other anatomical stimulation target has been stimulated. Pulses emitted from various electrodes (or electrode combinations), each pulse having the same charge, may be referred to as an electrode sweep. In some embodiments, an electrode sweep includes each electrode of the one or more stimulation arrays emitting a stimulation, where each stimulation has the same charge.


As described previously, LCU 100 may detect stimulation of an anatomical target (via, e.g., one or more sensors in communication with system health monitor 160). Alternatively or in addition, a user may detect stimulation of an anatomical target (e.g., based on a physical response or appearance of a patient) and indicate via one or more action buttons 260a-e of a user interface 120 (e.g., placement mode GUI 200) that stimulation occurred. A user may also indicate that stimulation of the anatomical target did not occur (e.g., was not detected) via one or more action buttons 260a-e (e.g., a “response” action button or a “next” action button). If stimulation of an anatomical target cannot be detected during an electrode sweep, LCU 100 may increase the charge of the electrode sweep. In placement mode, like other operations of LCU 100, the LCU 100 may end the process (and/or prevent stimulation from being delivered) if a pre-determined maximum charge is exceeded. The pre-determined maximum charge may be set by the LCU 100 manufacturer or a user of the LCU 100. If stimulation of the anatomical target cannot be detected without exceeding the pre-determined maximum charge, then placement has failed. If placement fails, the user may adjust the position of one or more stimulation arrays in relation to the patient and/or retry placement mode operations.



FIG. 5 shows an exemplary flow of a placement mode of an LCU 100, according to one or more embodiments. In the exemplary placement mode method 1000 shown in FIG. 5, diamond regions (e.g., steps 1003 and 1006) represent decision points (e.g., a decision by the LCU 100 or a user) while rectangular regions (e.g., steps 1001, 1002, 1004, 1005, 1007, 1008) represent other inflection or action/step points of the method. One or more components of placement mode GUI 200 (e.g., notification box 210) may provide instructions or other guidance for the user, to guide the user through one or more methods of placement mode, for example, placement mode method 1000.


Still referring to FIG. 5, a placement mode method 1000 may begin based on an input from a user via user interface 120, for example, a placement mode GUI 200 (step 1001). LCU 100 may then perform an electrode sweep using a plurality of electrodes (e.g., one or more electrode groups) of one or more stimulation arrays (step 1002). As described above, one or more indications may be made in anatomical indication window 230 that indicate stimulation is being delivered and/or one or more targets of delivered stimulation. For example, the stimulation may target afferents of one or more lung-accessories (e.g., nerves or muscles associated with lung movement, such as, for example, a phrenic nerve, a diaphragm, or a respiratory accessory muscle) and anatomical indication window 230 may include an indication that one or more lung-accessories is being stimulated (e.g., one or more lung or diaphragm pictograms may be indicated). One or more stimulation level indicators 242a-f of stimulation indication window 240 may also be indicated as stimulation is delivered. In some embodiments, more stimulation level indicators 242a-f are indicated as the charge of the electrode sweep is increased. For example, in an initial electrode sweep, only stimulation level indicator 242a of stimulation indication window 240 may be indicated. Each time the charge of the electrode sweep is increased, another stimulation level indicator 242a-f of stimulation indication window 240 (e.g., stimulation level indicator 242b) may be indicated. Once placement is confirmed, the most recently indicated stimulation level indicator 242a-f (e.g., stimulation level indicator 242c) may be indicated in a different manner (a different color, intensity, font, etc.), as to signal at what level of stimulation the requisite stimulation of one or more anatomical targets was achieved.


Referring again to FIG. 5, after an LCU 100 performs an electrode sweep, it may receive input on whether the requisite stimulation of anatomical target occurred (step 1003). As used herein, requisite stimulation may refer to a stimulation sufficient to cause a desired physiological result. In some embodiments, requisite stimulation for placement mode may include stimulation sufficient to cause contraction of a diaphragm or other lung-accessory. LCU 100 may receive input on whether the requisite stimulation of anatomical target occurred from one or more sensors in contact with the patient and in communication with system health monitor 160. In other embodiments, LCU 100 may receive input on whether the requisite stimulation of anatomical target occurred from a user (e.g., via a user interface 120, such as, for example, a placement mode GUI 200). In some embodiments, a user may indicate requisite stimulation of an anatomical target occurred via one or more action buttons 260a-e (e.g., a “response” action button or a “next” action button). In some embodiments, a user may select a “retry” action button which may induce the LCU 100 to repeat the most recent electrode sweep at the current charge level (step 1002). If an LCU 100 receives input that a requisite stimulation of an anatomical target was not detected, it may increase the charge of the electrode sweep (step 1005). If LCU 100 receives input that a requisite stimulation of an anatomical target was detected, it may progress to confirming placement success (step 1004). Confirmation of placement success may include displaying a notification to the user (e.g., a pop-up window or via notification box 210, anatomical indication window 230, or stimulation indication window 240) that one or more stimulation arrays are correctly placed.


Still referring to FIG. 5, after the charge of the electrode sweep is increased (step 1005), the LCU 100 may determine whether the charge of the electrode sweep exceeds the pre-determined maximum charge (step 1006). If the charge of the electrode sweep does not exceed the pre-determined maximum charge, LCU 100 may proceed with the next electrode sweep (step 1002). If, LCU 100 determines the charge of the electrode sweep would exceed the pre-determined maximum charge (step 1006), then the LCU 100 may confirm placement failure (step 1007). Confirmation of placement failure may include displaying a notification to the user (e.g., a pop-up window or via notification box 210) that placement has failed. Such a notification may instruct a user to alter placement of one or more stimulation arrays relative to the patient. After placement fails, LCU 100 may reset the electrode sweep charge to the charge level of the initial electrode sweep (e.g., the charge associated with stimulation level indicator 242a) or another charge level below the pre-determined maximum charge (step 1008). After the electrode sweep charge is reset, a user may have an option to retry one or more methods of placement mode. For example, a user may be able to, via one or more action buttons 260a-e of placement mode GUI 200, retry method 1000 of placement mode after repositioning one or more stimulation arrays.


An electrode sweep may include, for example, an electrical signal emitted from one or more of: each electrode of LCU 100, each electrode associated with one or more stimulation arrays, each electrode in a group of electrodes, a representative set of electrodes of a group of electrodes, a domain of electrode combinations, or a set of electrode combinations selected from the domain of electrode combinations. In some embodiments, a starting electrode sweep of a placement mode method 1000 may be delivered (e.g., delivered from each electrode or electrode combination involved in the electrode sweep) with a current of approximately 0.5 mA to approximately 3 mA and a pulse width of approximately 100 microseconds (μs) to approximately 1 millisecond (ms). For example, a starting electrode sweep of placement mode method 1000 may be delivered with a current of 0.5 mA, 0.7 mA, 1.0 mA, 1.5 mA, 2.0 mA, 2.5 mA, or 3.0 mA. Further, a starting electrode sweep of placement mode method 1000 may be delivered with at a pulse width of 100 μs, 125 μs, 150 μs, 175 μs, 200 μs, 225 μs, 250 μs, 275 μs, 300 μs, 350 μs, 400 μs, 450 μs, 500 μs, 600 μs, 700 μs, 800 μs, 900 μs, or 1 ms. According to one or more embodiments, for each electrode sweep, each electrode involved in the electrode sweep emits a stimulation with the programmed charge in series (e.g., consecutively, not concurrently). Each electrode sweep may have a duration of approximately 0.1 ms to approximately 2.0 s, such as, for example, 0.1 ms, 0.2 ms, 0.5 ms, 1.0 ms, 5.0 ms, 10 ms, 15 ms, 20 ms, 25 ms, 40 ms, 50 ms, 60 ms, 75 ms, 90 ms, 0.1 s, 0.3 s, 0.5 s, 0.7 s, 0.9 s, 1.0 s, 1.25 s, 1.50 s, 1.75 s, or 2.0 s.


Each increase in electrode sweep charge may be at a consistent, constant interval, inconsistent, differing intervals, variable intervals, or arbitrary increments, and may occur as an increase in amplitude and/or an increase in pulse width. For example, each increase in electrode sweep charge may include an amplitude increase of approximately 0.5 mA to approximately 5 mA, such as, for example, 0.5 mA, 1.0 mA, 1.5 mA, 2.0 mA, 2.5 mA, 3.0 mA, 3.5 mA, 4.0 mA, 4.5 mA, or 5.0 mA. In some embodiments, an increase in electrode sweep charge includes an increase in pulse width, such as, for example, 25 μs, 50 μs, 75 μs, 100 μs, 125 μs, 150 μs, 175 μs, 200 μs, A manufacturer or user of LCU 100 may set a pre-determined maximum charge. A pre-determined maximum charge for one phase of operation (e.g., placement mode) may be different than a pre-determined maximum charge for another phase of operation (e.g., mapping mode). For example, LCU 100 may be programmed in terms of maximum current, maximum pulse width, maximum charge, or a combination thereof. In some embodiments, a pre-determined maximum charge (e.g., a pre-determined maximum charge for placement mode) may include a maximum current of approximately 3 mA to approximately 20 mA, such as, for example, 3 mA, 5 mA, 7 mA, 10 mA, 13.5 mA, 17 mA, or 20 mA; a maximum pulse width of approximately 300 μs to approximately 1 ms, such as, for example, 300 μs, 500 μs, 750 μs, or 1 ms; and/or a maximum charge of approximately 1.0 microCoulombs (μC) to approximately 20 μC, such as, for example 1.0 μC, 5 μC, 10 μC, 15 μC, or 20 μC.


Mapping Mode


In mapping mode, the application controller may iteratively deliver stimulation to the electrode combinations of a catheter (e.g., an intravenous catheter) or other stimulation delivery system. The application controller may further request user feedback in order to identify suitable stimulation parameters (e.g., left electrode combination, right electrode combination, threshold current) for therapy. In other embodiments, the application controller may receive feedback from sensors including, for example, sensors configured to monitor airway pressure, airway flowrate, tidal volume, transpulmonary pressure, blood gas levels (e.g., blood O2 levels or blood CO2 levels), heart rate, breathing rate and timing, impedance (e.g., sensors configured for electrical impedance tomography), lung gas distribution electromyographic activity, or transdiaphragmatic pressure, via system health monitor 160. In another embodiment, the application controller may receive feedback from another medical device such as a mechanical ventilator, respiratory support device, extra-corporeal membrane oxygenation (ECMO) system, heart rate or respiratory monitor, etc., for example, via system health monitor 160. The LCU 100 may deliver a limited number of pulses to various combinations of portions of a stimulation array (e.g. electrode combinations) on the stimulation device (e.g. catheter). When an electrode combination in proximity to a nerve (such as, for example, a phrenic nerve) is activated, it causes brief contractions (e.g., twitches) of a subject's muscle (such as, for example, a diaphragm). As described herein, one or more components of LCU 100 (e.g., user interface 120) may interactively guide a user to activate mapping phase and gather feedback in order to identify suitable electrode combinations, threshold charges, or both, for use in therapy mode.


One exemplary arrangement of stimulation arrays and anatomical targets is shown in FIG. 6. Although FIG. 6 shows a suitable arrangement of one or more stimulation arrays, including at least 18 electrodes positioned in two groups, in relation to various anatomical structures, it is merely one example for the purposes of illustrating the function of an LCU 100 operating in mapping mode. Any suitable configuration of one or more stimulation arrays, such that electrodes are in proximity to nerves and/or muscles associated with breathing, may be used with the systems and methods described herein. For example, embodiments of the present disclosure may be used in combination with one or more systems, catheters, apparatuses, and electrodes described in U.S. Pat. Nos. 9,242,088, 9,333,363, 9,776,005, and/or 10,039,920; the disclosures of which are hereby incorporated by reference.



FIG. 6 shows parts of a circulatory system, including a left subclavian vein 512, a superior vena cava 510, and a heart 505. These parts of the circulatory system may be proximate to one or more nerves, such as, for example, a left phrenic nerve 520 and a right phrenic nerve 522. In some embodiments, one or more stimulation arrays may be placed in or near vasculature (e.g., a part of the circulatory system) and/or proximate to one or more nerves (e.g., a left phrenic nerve 520 and a right phrenic nerve 522). The one or more stimulation arrays may include one or more electrode groups, where each group of electrodes is configured to be placed near an anatomical stimulation target. For example, as shown in FIG. 6, a first group of electrodes 530a-1 may be positioned proximate a left phrenic nerve 520, and a second group of electrodes 530a-f may be positioned proximate a right phrenic nerve 522. Each electrode group may include one or more electrodes (e.g., the second group of electrodes 530′ shown in FIG. 6 includes electrodes 530a, 530b, 530c, 530d, 530e, and 530f). Various parts shown in FIG. 6 and their reference numerals may be referred to in the discussion below. For example, parts of FIG. 6 may be referred to in relation to processes of an LCU 100 in mapping mode, and the methods shown in FIGS. 7-9. However, it should be understood that this is merely one exemplary arrangement of electrodes and anatomical stimulation targets, and that the methods described below may be used in conjunction with any arrangement of stimulation arrays near anatomical stimulation targets.


In one or more embodiments, a mapping mode may include one or more processes for selecting, identifying, and/or determining one or more stimulation parameters (e.g., determining one or more stimulation parameters that will be used in therapy mode). For example, processes of mapping mode may determine a threshold charge (e.g., an amplitude, pulse width, or both) of stimulation and which electrode 530a-1, 530a-f or electrode combination to use to deliver stimulation (e.g., deliver stimulation during therapy mode).


In at least one embodiment, a mapping mode may include at least three general processes: (1) coarse threshold assessment, (2) electrode identification, and (3) fine threshold assessment. In embodiments where one or more stimulation arrays include more than one group of electrodes, these processes may be performed for each group of electrodes. For example, a mapping mode for an LCU 100 including at least two groups of electrodes may include: (1) a first coarse threshold assessment (e.g., including a left electrode sweep), (2) a second coarse threshold assessment (e.g., including a right electrode sweep), (3) a first electrode identification, (4) a first fine threshold identification, (5) a second electrode identification, and (6) a second fine threshold identification. In some embodiments, the first group of electrodes and associated processes of a mapping mode (e.g., a first coarse threshold assessment, a first electrode identification, and a first fine threshold identification) may be associated with a left-most anatomical target (e.g., a proximal anatomical target), where the second group of electrodes and associated processes of a mapping mode (e.g., a second coarse threshold assessment, a second electrode identification, and a second fine threshold identification) may be associated with a right-most anatomical target (e.g, a distal anatomical target). References to a first process or a second process are explanatory and not meant to denote a preferred order of operation. In some embodiments, an electrode group near a right-most anatomical target may be used in one or more processes of mapping mode before an electrode group near a left-most anatomical target are used in one or more processes of mapping mode.


In some embodiments, a device or system configured for a mapping mode may proceed through each of the three general processes in the sequential order described herein (e.g., coarse threshold assessment, electrode identification, and fine threshold assessment). In other embodiments, a device or system configured for a mapping mode may proceed through all three general processes in a different order. In still other embodiments, one or more processes may be performed without performing the other processes of a mapping mode (e.g., performing either all stages corresponding to the left side, all stages corresponding to the right side, all stages corresponding to electrode identification, or all stages corresponding to threshold identification).


As described previously, electrodes 530a-1, 530a-f may represent electrodes or electrode combinations for monopolar, bipolar, or tripolar electrical stimulation. As used herein, a stimulation being transmitted by an electrode 530a-1, 530a-f may refer to an electrical signal being transmitted by a single electrode on the catheter to a ground reference that is at a distance from the anode to generate the large electrical field (monopolar electrical stimulation), an electrical signal being transmitted from a anode electrode to cathode electrode on the catheter (bipolar electrical stimulation), or an electrical signal being transmitted from one or more electrodes to one or more other electrodes (multipolar electrical stimulation) (e.g., from a cathode to two anodes, from two cathodes to an anode, or from a cathode to three or more anodes). As any of these electrode combinations and configurations are contemplated, for clarity when referring to one or more processes of mapping mode operations, such types of electrical signal transmission may all be referred to as a stimulation being transmitted by an electrode combination. For example, referring to FIG. 6, in some embodiments, a process of mapping mode may include a stimulation delivered between electrode 530c and 530i. In describing one or more processes of mapping mode below, this may be referred to as a stimulation delivered by electrode 530c or a stimulation delivered by electrode combination 530c and 530i.


In a coarse threshold assessment process (e.g., a process including a left electrode sweep or a right electrode sweep), a series of stimulations are repeated with different amplitudes, pulse widths, or charges to determine a coarse threshold of a level of stimulation suitable or desired for therapy. In some embodiments, a coarse threshold assessment may be performed for each group of electrodes 530a-1, 530a-f of the one or more stimulation arrays. For example, a first coarse threshold assessment for the first group of electrodes 530a-1, proximate a left phrenic nerve 520; and a second coarse threshold assessment for the second group of electrodes 530a-f, proximate a right phrenic nerve 522.


A user may then initiate mapping mode via, for example, selecting a phase button 250, 350, 450 corresponding to mapping mode. In some embodiments, a user may navigate to mapping mode via one or more menus of a user interface 120. As described above, selection of a phase button 250, 350, 450 corresponding to mapping mode may cause the user interface 120 to display a mapping mode GUI 300. A user may then start one or more processes of mapping mode by selecting an action button 360 of mapping mode GUI 300.


After a user initiates mapping mode (e.g., via an action button 360a-g of mapping mode GUI 300), LCU 100 may guide a user through one or more processes of mapping mode, such as for example, one or more coarse threshold assessments, one or more electrode identification (e.g., one or more electrode combination identifications), and/or one or more fine threshold identification (e.g., of a level of stimulation suitable or desired for therapy).



FIG. 7 shows an exemplary flow of a coarse threshold assessment process of mapping mode of an LCU 100, according to one or more embodiments. In the exemplary mapping mode coarse threshold assessment process 1100 shown in FIG. 7, diamond regions (e.g., steps 1103 and 1106) represent decision points (e.g., a decision by the LCU 100 or a user) while rectangular regions (e.g., steps 1101, 1102, 1104, 1105, 1107, 1108) represent other inflection or action/step points of the method. One or more components of mapping mode GUI 300 (e.g., notification box 310) may provide instructions or other guidance for the user, to guide the user through one or more methods or processes of mapping mode, for example, coarse threshold process 1100, electrode identification process 1200, or fine threshold process 1300.


Still referring to FIG. 7, a mapping mode process, such as, for example, coarse threshold assessment process 1100 may begin based on an input from a user via user interface 120, for example, a mapping mode GUI 300 (step 1101). LCU 100 may then perform an electrode sweep using a plurality of electrodes disposed on one or more stimulation arrays (step 1102). As described above, one or more indications may be made in anatomical indication window 330 that indicate stimulation is being delivered and/or indicate one or more targets of delivered stimulation. For example, the stimulation may target afferents of one or more lung-accessories (e.g., nerves or muscles associated with lung movement, such as, for example, a left phrenic nerve 520, a right phrenic nerve 522, a diaphragm, or a respiratory accessory muscle) and anatomical indication window 330 may include an indication that one or more lung-accessories is being stimulated (e.g., one or more lung or diaphragm pictograms may be indicated). One or more stimulation level indicators 342a-f, 342a′-f′ of stimulation indication window 340, 340′ may also be indicated as stimulation is delivered. In some embodiments, more stimulation level indicators 342a-f, 342a′-f are indicated as the charge of the electrode sweep is increased. For example, in an initial electrode sweep, only stimulation level indicator 342a of stimulation indication window 340 may be indicated. Each time the charge of the electrode sweep is increased, another stimulation level indicator 342a-f, 342a′-f′ of stimulation indication window 340, 340′ (e.g., stimulation level indicator 342b) may be indicated.


As alluded to above, an electrode sweep may include, for example, an electrical signal emitted from each electrode of LCU 100, an electrical signal emitted from each electrode associated with one or more stimulation arrays, an electrical signal emitted from each electrode in a group of electrodes, an electrical signal emitted from a representative set of electrodes of a group of electrodes, an electrical signal emitted from a domain of electrode combinations, or an electrical signal emitted from a set of electrode combinations selected from the domain of electrode combinations. In some embodiments, a starting electrode sweep of a coarse threshold assessment process 1100 may be delivered (e.g., delivered from each electrode or electrode combination involved in the electrode sweep) with a current of approximately 0.5 mA to approximately 3 mA and a pulse width of approximately 100 microseconds (μs) to approximately 1 millisecond (ms). For example, a starting electrode sweep of coarse threshold assessment process 1100 may be delivered with a current of 0.5 mA, 0.7 mA, 1.0 mA, 1.5 mA, 2.0 mA, 2.5 mA, or 3.0 mA. By way of further example, a starting electrode sweep of coarse threshold assessment process 1100 may be delivered with at a pulse width of 100 μs, 125 μs, 150 μs, 175 μs, 200 μs, 225 μs, 250 μs, 275 μs, 300 μs, 350 μs, 400 μs, 450 μs, 500 μs, 600 μs, 700 μs, 800 μs, 900 μs, or 1 ms. Each electrode sweep may have a duration of approximately 0.1 ms to approximately 2.0 s, such as, for example, 0.1 ms, 0.2 ms, 0.5 ms, 1.0 ms, 5.0 ms, 10 ms, 15 ms, 20 ms, 25 ms, 40 ms, 50 ms, 60 ms, 75 ms, 90 ms, 0.1 s, 0.3 s, 0.5 s, 0.7 s, 0.9 s, 1.0 s, 1.25 s, 1.50 s, 1.75 s, or 2.0 s.


Each increase in electrode sweep charge may be at a consistent, constant interval, inconsistent, differing intervals, variable intervals, or arbitrary increments, and may occur as an increase in amplitude and/or an increase in pulse width. For example, each increase in electrode sweep charge may include an amplitude increase of approximately 0.5 mA to approximately 5 mA, such as, for example, 0.5 mA, 1.0 mA, 1.5 mA, 2.0 mA, 2.5 mA, 3.0 mA, 3.5 mA, 4.0 mA, 4.5 mA, or 5.0 mA. In some embodiments, an increase in electrode sweep charge includes an increase in pulse width, such as, for example, 25 μs, 50 μs, 75 μs, 100 μs, 125 μs, 150 μs, 175 μs, 200 μs.


In some embodiments, such as embodiments where one or more stimulation arrays include a plurality of groups of electrodes, stimulation indication window 340 (e.g., including stimulation level indicators 342a-f) may correspond to methods, processes, and stimulations associated with a left-most, or most proximal, anatomical stimulation target or group of electrodes; and stimulation indication window 340′ (e.g., including stimulation level indicators 342a′-f) may correspond to methods, processes, and stimulations associated with a right-most, or most distal, anatomical stimulation target or group of electrodes.


Once a process of mapping mode is completed, such as, for example, a coarse threshold is confirmed, an electrode 530 (or electrode combination) is identified, or a fine threshold is confirmed, the most recently indicated stimulation level indicator 342 (e.g., stimulation level indicator 342c′) may be indicated in a different manner, as to signal at what level of stimulation the requisite stimulation of one or more anatomical targets was achieved.


In mapping mode, like other operations of LCU 100, the LCU 100 may end the current process (and/or prevent stimulation from being delivered) if a pre-determined maximum charge is exceeded. The pre-determined maximum charge may be set by the LCU 100 manufacturer or a user of the LCU 100. If requisite stimulation of the anatomical target cannot be detected without exceeding the pre-determined maximum charge, then mapping has failed. If mapping fails, the user may adjust one or more stimulation arrays in relation to the patient, retry placement mode operations, and/or retry mapping mode operations.


Referring again to FIG. 7, after an LCU 100 performs an electrode sweep, it may receive input on whether the requisite stimulation of anatomical target occurred (step 1103). As noted above, requisite stimulation may refer to a stimulation sufficient to cause a desired physiological result. In some embodiments, requisite stimulation for mapping mode may include stimulation sufficient to cause contraction of a diaphragm or other lung-accessory. LCU 100 may receive input on whether the requisite stimulation of anatomical target occurred from one or more sensors in contact with the patient and in communication with system health monitor 160. In other embodiments, LCU 100 may receive input on whether the requisite stimulation of anatomical target occurred from a user (e.g., via a user interface 120, such as, for example, a mapping mode GUI 300). In some embodiments, a user may indicate requisite stimulation of an anatomical target occurred via one or more action buttons 360a-g (e.g., a “response” action button or a “next” action button). In some embodiments, a user may select a “retry” action button which may induce the LCU 100 to repeat the most recent electrode sweep at the current charge level (step 1102).


If an LCU 100 receives input that a requisite stimulation of an anatomical target was not detected, it may increase the charge of the electrode sweep (step 1105). If LCU 100 receives input that a requisite stimulation of an anatomical target was detected, it may progress to setting the coarse threshold and/or confirming a coarse threshold assessment (step 1104). Confirmation of a coarse threshold assessment may include displaying a notification to the user (e.g., a pop-up window or via notification box 310, anatomical indication window 330, or stimulation indication window 340) that a coarse threshold was identified. Further, setting coarse threshold may include saving information regarding a coarse threshold for use in one or more other processes or modes.


Still referring to FIG. 7, after the charge of the electrode sweep is increased (e.g., the amplitude and/or pulse width of the component stimulation pulses of the sweep are increased) (step 1105), the LCU 100 may determine whether the charge of the electrode sweep exceeds the pre-determined maximum charge (step 1106).


If the charge of the electrode sweep does not exceed the pre-determined maximum charge, LCU 100 may proceed with the next electrode sweep (step 1102). If LCU 100 determines the charge of the electrode sweep exceeds the pre-determined maximum charge (step 1106), then the LCU 100 may confirm coarse threshold assessment failure (step 1107). Confirmation of coarse threshold assessment failure may include displaying a notification to the user (e.g., a pop-up window or via notification box 310, anatomical indication window 330) that coarse threshold assessment has failed. Such a notification may instruct a user to alter placement of one or more stimulation arrays relative to the patient, reperform one or more processes of placement mode, and/or retry coarse threshold assessment (e.g., coarse threshold assessment process 1100). After coarse threshold assessment fails, LCU 100 may reset the electrode sweep charge to the charge level of the initial electrode sweep (e.g., the charge associated with stimulation level indicator 342a) or another charge level below the pre-determined maximum charge (step 1108). After the electrode sweep charge is reset, a user may have an option to retry one or more methods or processes of mapping mode. For example, a user may be able to, via one or more action buttons 360 of mapping mode GUI 300, retry process 1100 of mapping mode.


A manufacturer or user of LCU 100 may set a pre-determined maximum charge. As explained above, a pre-determined maximum charge for one phase of operation (e.g., mapping mode) may be different than a pre-determined maximum charge for another phase of operation (e.g., therapy mode). For example, LCU 100 may be programmed in terms of maximum current, maximum pulse width, maximum charge, or a combination thereof. In some embodiments, a pre-determined maximum charge (e.g., a pre-determined maximum charge for mapping mode) may include a current of approximately 3 mA to approximately 20 mA, such as, for example, 3 mA, 5 mA, 7 mA, 10 mA, 13.5 mA, 17 mA, or 20 mA; a pulse width of approximately 300 μs to approximately 1 ms, such as, for example, 300 μs, 500 μs, 750 μs, or 1 ms; and/or a charge of 1.0 microCoulombs (μC) to 20 μC, such as, for example 1.0 μC, 5 μC, 10 μC, 15 μC, or 20 μC.


In some embodiments, after a coarse threshold is set (e.g., step 1104 of exemplary coarse threshold assessment process 1100), an LCU 100 or a user operating an LCU 100, may initiate one or more processes for electrode identification. For example, a user may initiate a process for electrode identification via one or more action buttons 360 of a mapping mode GUI 300.


Referring to FIG. 8, one or more electrode identification processes (e.g, electrode identification process 1200) may be used to identify an electrode 530 or combination of electrodes 530 (e.g., an electrode combination), of the one or more stimulation arrays, that are best configured to deliver stimulation to one or more anatomical targets, are configured to deliver requisite stimulation at a lower charge than other electrodes 530 or electrode combinations, are closest to one or more anatomical targets, or a combination thereof. For example, a user (e.g., a healthcare professional) may, after placing one or more stimulation arrays on or in a patient and performing placement mode operations, perform an electrode identification process to identify which electrodes should be used for therapy mode operations.


In an electrode identification process (e.g., left electrode identification, right electrode identification, electrode identification process 1200), stimulation may be delivered to a series of electrodes 530 or combinations of electrodes 530 (e.g., electrode combinations) while physiological responses are observed (e.g., by a healthcare professional, a user, or system health monitor 160), to determine an optimal electrode combination for therapy mode. In some embodiments, the stimulation delivered during an electrode identification process may have a charge equal to the set coarse threshold.



FIG. 8 shows an exemplary flow of an electrode identification process of mapping mode of an LCU 100, according to one or more embodiments. In the exemplary mapping mode electrode identification process 1200 shown in FIG. 8, diamond regions (e.g., steps 1203, 1204, 1206, 1207, 1208, 1211, and 1213) represent decision points (e.g., a decision by the LCU 100 or a user) while rectangular regions (e.g., steps 1201, 1202, 1205, 1209, 1210, 1212) represent other inflection or action/step points of the process.


Still referring to FIG. 8, a mapping mode process, such as, for example, electrode identification process 1200, may begin based on an input from a user via user interface 120, for example, a mapping mode GUI 300 (step 1201). LCU 100 may then select a set of electrodes or a set of electrode combinations from a domain of electrodes or electrode combinations (step 1102). In one or more embodiments, a domain of electrodes may refer every electrode of a group of electrodes (e.g., a group of electrodes of one or more stimulation arrays). A domain of electrode combinations may refer to every possible electrode combination of a group of electrodes, every possible electrode combination out of available group of electrodes for bipolar electrical stimulation, every possible electrode combination out of available group of electrodes for tripolar electrical stimulation, or a listing of electrode combinations that are stored, programmed, or otherwise accessed by LCU 100 (e.g., a lookup table stored in a memory accessible by the LCU 100, such as, for example mass storage device 112). In some embodiments, an LCU 100 may have access to a list of likely electrode combinations. The list of most likely electrode combinations may include electrode combinations for monopolar, bipolar, tripolar, and other multipolarelectrical stimulation, such as, for example, combinations of electrodes that are proximate to each other and/or combinations of electrodes where the path of stimulation from a cathode to an anode is parallel to an anatomical target (e.g., a pair of electrodes that form a line parallel to a target nerve).


In some embodiments, selecting a set of electrode combinations from a domain of electrode combinations (step 1202) includes selecting half of the electrode combinations from the domain of electrode combinations (e.g., electrodes 530a, 530b, 530c, 530g, 530h, and 530i). In other embodiments, selecting a set of electrode combinations from a domain of electrode combinations includes selecting less than half of the electrode combinations from the domain of electrode combinations (e.g., electrodes 530a, 530b, 530g, and 530h). After a set of electrode combinations is selected, LCU 100 may stimulate from each electrode combination of the selected set of electrode combinations and may wait for input (e.g., from a sensor in communication with system health monitor 160 or via user interface 120) on whether requisite stimulation was detected (step 1203).


As described above, one or more indications may be made in anatomical indication window 330 that indicate stimulation is being delivered and/or indicate one or more targets of delivered stimulation. For example, the stimulation may target afferents of one or more lung-accessories (e.g., nerves or muscles associated with lung movement, such as, for example, a left phrenic nerve 520, a right phrenic nerve 522, a diaphragm, or a respiratory accessory muscle) and anatomical indication window 330 may include an indication that one or more lung-accessories is being stimulated (e.g., one or more lung or diaphragm pictograms may be indicated). One or more stimulation level indicators 342a-f, 342a′-f′ of stimulation indication window 340, 340′ may also be indicated as stimulation is delivered. In some embodiments, more stimulation level indicators 342a-f, 342a′-f are indicated as electrode combinations are tested. For example, in an initial stimulation of electrode identification process 1200, only stimulation level indicator 342a of stimulation indication window 340 may be indicated. Each time another set or subset of electrode combinations deliver stimulation, another stimulation level indicator 342a-f of stimulation indication window 340 (e.g., stimulation level indicator 342b) may be indicated.


Referring again to FIG. 8, after an LCU 100 stimulates from each electrode combination of the selected set of electrode combinations, it may receive input on whether the requisite stimulation of anatomical target occurred (step 1203). As noted above, requisite stimulation may refer to a stimulation sufficient to cause a desired physiological result. In some embodiments, requisite stimulation for mapping mode may include stimulation sufficient to cause contraction of a diaphragm or other lung-accessory. LCU 100 may receive input on whether the requisite stimulation of anatomical target occurred from one or more sensors in contact with the patient and in communication with system health monitor 160. In other embodiments, LCU 100 may receive input on whether the requisite stimulation of anatomical target occurred from a user (e.g., via a user interface 120, such as, for example, a mapping mode GUI 300). In some embodiments, a user may indicate requisite stimulation of an anatomical target occurred via one or more action buttons 360a-g (e.g., a “response” action button or a “next” action button). In some embodiments, a user may select a “retry” action button which may induce the LCU 100 to repeat the stimulation from each electrode combination of the selected set of electrode combinations.


If an LCU 100 receives input that a requisite stimulation of an anatomical target was not detected, LCU may then determine whether each electrode combination of the domain of electrode combinations had been selected at some point in the electrode identification process 1200 (step 1208). If each electrode combination of the domain of electrode combinations had been selected and delivered stimulation, but no requisite stimulation was detected, the LCU 100 may confirm electrode identification failure (step 1209). Confirmation of electrode identification failure may include displaying a notification to the user (e.g., a pop-up window or via notification box 310, anatomical indication window 330, or stimulation identification window 340) that electrode identification has failed. Such a notification may instruct a user to alter placement of one or more stimulation arrays relative to the patient, reperform one or more processes of placement mode or mapping mode (e.g., coarse threshold assessment process 1100).


If, at step 1208 of electrode identification process 1200, the LCU determines that not every electrode combination of the domain of electrode combinations had been selected, it may select a different set of electrode combinations of the domain of electrode combinations (step 1202). In embodiments where the first selected set of electrode combinations from the domain of electrode combinations was half of the domain of electrode combinations (e.g., electrodes 530a, 530b, 530c, 530g, 530h, and 530i), the second selected set of electrode combinations from the domain of electrode combinations may include the other half of the domain of electrode combinations (e.g., electrodes 530d, 530e, 530f, 530j, 530k, and 530l). According to one or more embodiments, after the initial selection of a set of electrode combinations from the domain of electrode combinations (e.g., electrodes 530a, 530b, 530g, and 530h), subsequent selections of sets of electrode combinations from the domain of electrode combinations may include electrode combinations that had not previously delivered stimulation as part of the electrode identification process 1200 (e.g., 530c, 530d, 530i, and 530j).


If, at step 1203 of electrode identification process 1200, LCU 100 receives input that a requisite stimulation of an anatomical target was detected, it may progress to narrowing the selected set of electrode combinations. For example, after determining a selected set of electrodes that deliver requisite stimulation (e.g., electrodes 530a, 530b, 530c, 530g, 530h, and 530i), LCU 100 may determine whether the number of electrode combinations of the set is less than or equal to n (step 1204), where n is an integer greater than or equal to 2, that may be set, programmed, or adjusted by an LCU 100 manufacturer, user, or healthcare professional. By way of non-limiting example, n may be set to 2, 3, 4, 5, 6, 7, 8, 9, 10, 11, 12, 13, 14, or 15. If the number of electrode combinations in the set is greater than n, LCU 100 may select a subset of electrode combinations from the selected set of electrode combinations (step 1205) (e.g., electrodes 530b, 530c, and 530i).


The efficiency and/or thoroughness of an electrode identification may be adjusted by the selection of n. For example, for relatively small values of n, an electrode identification process may be quicker than electrode identification processes with large values of n. Larger values of n may result in more time-intensive electrode identification processes, however, large n-value processes may be able to identify electrode combinations which are able to be used at lower fine thresholds than the quicker small n-value processes.


After LCU 100 selects a subset of electrode combinations from the selected set of electrode combinations (e.g., electrodes 530b, 530c, and 530i) (step 1205), LCU 100 may deliver stimulation from each electrode combination of the subset of electrode combinations (step 1206). After LCU 100 delivers stimulation from each electrode combination of the subset of electrode combinations, it may receive input on whether the requisite stimulation of anatomical target occurred (step 1206). If, at step 1206 of electrode identification process 1200, LCU 100 receives input that a requisite stimulation of an anatomical target was detected, it may progress to narrowing the selected subset of electrode combinations. For example, after determining a selected subset of electrodes deliver requisite stimulation (e.g., electrodes 530b, 530c, and 530i), LCU 100 may determine whether the number of electrode combinations of the subset is less than or equal to n (step 1204). If the number of electrode combinations in the subset that was found to deliver requisite stimulation is greater than or equal to n, LCU 100 may then continue to narrow down the subset, for example, by selecting a smaller subset of electrodes from the subset of electrodes found to deliver requisite stimulation (e.g., 530c and 530i) (step 1205).


If, at step 1206 of electrode identification process 1200, LCU 100 receives input that a requisite stimulation of an anatomical target was not detected, it may determine whether each electrode combination of the set of electrode combinations has been selected as part of a subset (step 1207). If each electrode of the set of electrode combinations has not been selected as part of a subset, then LCU 100 may select another subset of electrode combinations from the set of electrode combinations initially found to deliver requisite stimulation (e.g., electrodes 530a, 530g, and 530h) (step 1205). In some embodiments, the second selected subset may exclusively include electrode combinations not selected in the first subset. In other embodiments, the first subset and second subset may each have some of the same electrode combinations (e.g., a first subset of electrodes 530b, 530c, and 530i; and a second subset of electrodes 530b, 530h, and 530i). For example, the second subset may include half of the electrode combinations that were in the first subset (e.g., the distal most half or the proximal most half). According to one or more embodiments, LCU 100 may have access to a lookup table or other reference that informs LCU 100 which electrode combinations should be grouped together in subsets.


Returning to step 1207 of electrode identification process 1200, if each electrode of the set of electrode combinations has been selected as part of a subset, then LCU 100 may confirm failure of electrode identification (step 1209). As described above, confirmation of electrode identification failure may include displaying a notification to the user (e.g., a pop-up window or via notification box 310, anatomical indication window 330, or stimulation identification window 340) that electrode identification has failed. Such a notification may instruct a user to alter placement of one or more stimulation arrays relative to the patient, reperform one or more processes of placement mode or mapping mode (e.g., coarse threshold assessment process 1100).


If, at step 1204 of electrode identification process 1200, LCU 100 determines that the number of electrode combinations is less than or equal to n (e.g., if n=3, and a set of electrode combinations including electrodes 530b, 530c, and 530i was found to cause requisite stimulation), LCU 100 may progress to individually testing electrode combinations. For example, LCU 100 may individually select an electrode combination (e.g., electrode 530c) from the smallest set (e.g., the smallest subset) of electrode combinations which provided requisite stimulation (e.g., electrodes 530b, 530c, and 530i) (step 1210).


After individually selecting an electrode combination (e.g., electrode 530c) from the smallest set of electrode combinations that provided requisite stimulation e.g., electrodes 530b, 530c, and 530i), LCU 100 may deliver stimulation from the individually selected electrode combination (step 1211). After LCU 100 delivers stimulation from the individually selected electrode combinations, it may receive input on whether the requisite stimulation of anatomical target occurred (step 1211). If, at step 1211 of electrode identification process 1200, LCU 100 receives input that a requisite stimulation of an anatomical target was not detected, it may determine whether each electrode combination of the smallest set of electrode combinations (e.g., the set or subset including n or less electrode combinations) (e.g., electrodes 530b, 530c, and 530i) has been individually selected (step 1213).


If, at step 1211 of electrode identification process 1200, LCU 100 receives input that a requisite stimulation of an anatomical target was detected, it may confirm electrode identification (step 1212). Confirmation of electrode identification may include displaying a notification to the user (e.g., a pop-up window or via notification box 310, anatomical indication window 330, or stimulation indication window 340) that an electrode or electrode combination was identified. Further, confirming electrode identification may include saving information regarding the identified electrode or electrode combination for use in one or more other processes or modes.


In some embodiments, after completing an electrode identification process (e.g., left electrode identification, right electrode identification, electrode identification process 1200), an LCU 100 may begin a fine threshold assessment, a more precise determination of the threshold amount of charge that is appropriate or desired for stimulation. A user may initiate a fine threshold assessment via user interface 120 (e.g., via one or more action buttons 360a-g of a mapping mode GUI 300). Generally, a fine threshold assessment may include using a coarse threshold as a starting point, and by stimulating one or more anatomical targets with the one or more identified electrode combinations (e.g., one or more electrode combinations identified via one or more electrode combination identification processes 1200), assessing the lowest charge of stimulation that induces the desired physiological response.



FIG. 9 shows an exemplary flow of a fine threshold assessment process of mapping mode of an LCU 100, according to one or more embodiments. In the exemplary mapping mode fine threshold assessment process 1300 shown in FIG. 9, diamond regions (e.g., steps 1303, 1304, and 1307) represent decision points (e.g., a decision by the LCU 100 or a user) while rectangular regions (e.g., steps 1301, 1302, 1104, 1105, 1107, and 1108) represent other inflection points or actions/steps of the method.


Still referring to FIG. 9, a mapping mode process, such as, for example, fine threshold assessment process 1300, may begin based on an input from a user via user interface 120, for example, a mapping mode GUI 300 (step 1301). LCU 100 may then select a charge level that corresponds to the set coarse threshold (step 1302). In some embodiments, the charge level that corresponds to the set coarse threshold is less than the coarse threshold. For example, if a coarse threshold is identified as 1.0 mA current with a 300 μs pulse width, the selected charge of step 1302 may have an amplitude less 1.0 mA and/or a pulse width shorter than 300 μs. An LCU 100 may have access to a lookup table, formula, or other reference that identifies charge levels by corresponding coarse thresholds.


After LCU 100 selects a charge level that corresponds to the set coarse threshold, it may deliver stimulation at that charge (e.g., via the electrode combination identified in an electrode identification process 1200) (step 1303). As described above, one or more indications may be made in anatomical indication window 330 that indicate stimulation is being delivered and/or indicate one or more targets of delivered stimulation. For example, the stimulation may target afferents of one or more lung-accessories (e.g., nerves or muscles associated with lung movement, such as, for example, a left phrenic nerve 520, a right phrenic nerve 522, a diaphragm, or a respiratory accessory muscle) and anatomical indication window 330 may include an indication that one or more lung-accessories is being stimulated (e.g., one or more lung or diaphragm pictograms may be indicated). One or more stimulation level indicators 342a-f, 342a′-f′ of stimulation indication window 340, 340′ may also be indicated as stimulation is delivered. In some embodiments, more stimulation level indicators 342a-f, 342a′-f are indicated as the charge of the stimulation is adjusted. For example, in an initial stimulation, only stimulation level indicator 342a of stimulation indication window 340 may be indicated. Each time the charge of the stimulation is increased or decreased, another stimulation level indicator 342a-f of stimulation indication window 340 (e.g., stimulation level indicator 342b) may be indicated.


Referring still to FIG. 9, after an LCU 100 delivers stimulation, it may receive input on whether the requisite stimulation of anatomical target occurred (step 1303). As noted above, requisite stimulation may refer to a stimulation sufficient to cause a desired physiological result. In some embodiments, requisite stimulation for mapping mode may include stimulation sufficient to cause contraction of a diaphragm or other lung-accessory. LCU 100 may receive input on whether the requisite stimulation of anatomical target occurred from one or more sensors in contact with the patient and in communication with system health monitor 160. In other embodiments, LCU 100 may receive input on whether the requisite stimulation of anatomical target occurred from a user (e.g., via a user interface 120, such as, for example, a mapping mode GUI 300). In some embodiments, a user may indicate requisite stimulation of an anatomical target occurred via one or more action buttons 360a-g (e.g., a “response” action button or a “next” action button). In some embodiments, a user may select a “retry” action button 360a-g which may induce the LCU 100 to repeat the most recent stimulation at the current charge level (step 1303).


If an LCU 100 receives input that a requisite stimulation of an anatomical target was not detected, it may increase the charge of the stimulation (step 1306). Each increase or decrease in stimulation sweep charge may be at a consistent, constant interval, inconsistent, differing intervals, variable intervals, or arbitrary increments or decrements, and may occur as an increase or decrease in amplitude and/or an increase or decrease in pulse width. For example, each adjustment in stimulation charge may include an amplitude adjustment (either increase or decrease) of approximately 0.1 mA to approximately 5 mA, such as, for example, 0.1 mA, 0.2 mA, 0.3 mA, 0.4 mA, 0.5 mA, 1.0 mA, 1.5 mA, 2.0 mA, 2.5 mA, 3.0 mA, 3.5 mA, 4.0 mA, 4.5 mA, or 5.0 mA. In some embodiments, an adjustment in stimulation charge includes an increase or decrease in pulse width, such as, for example, 25 μs, 50 μs, 75 μs, 100 μs, 125 μs, 150 μs, 175 μs, 200 μs.


In a fine threshold assessment process 1300 of mapping mode, like other operations of LCU 100, the LCU 100 may end the current process (and/or prevent stimulation from being delivered) if a pre-determined maximum charge is exceeded. In some embodiments, the maximum charge for a fine threshold assessment process 1300 is the set coarse threshold (e.g., a coarse threshold identified in a coarse threshold assessment process 1100). After charge is increased (step 1306), an LCU 100 may determine whether the maximum charge is exceeded. If after increasing the charge of stimulation, the maximum charge is exceeded, fine threshold assessment may be confirmed and the fine threshold assessment process may end (step 1308).


If, at step 1303 of a fine threshold assessment process 1300, LCU 100 receives input that a requisite stimulation of an anatomical target was detected (step 1303), it may progress to determining whether there is a charge of a domain of charges that is less than charge that resulted in an indication of requisite stimulation (step 1304). In some embodiments, an LCU 100 may determine a domain of charges based on a coarse threshold assessment. For example, for each potential coarse threshold charge, the LCU 100 may be able to access, lookup, or otherwise recall a corresponding domain of potential fine threshold charges. In some embodiments, the maximum for a given domain of potential charges is less than or equal to the corresponding coarse threshold assessment.


If LCU 100 determines that there is a charge of the domain of charges that is less than the charge of requisite stimulation detected (step 1304), LCU 100 may reduce the charge of stimulation (step 1305). After the charge of stimulation is reduced, LCU 100 may stimulate at the reduced charge (e.g., via the electrode combination identified in an electrode identification process 1200) and receive input on whether requisite stimulation was detected (step 1303). If LCU 100 determines that there is not a charge of the domain of charges that is less than the charge that included requisite stimulation (step 1304), LCU 100 may confirm fine threshold assessment (step 1308).


Confirmation of a fine threshold assessment may include displaying a notification to the user (e.g., a pop-up window or via notification box 310, anatomical indication window 330, or stimulation indication window 340) that a fine threshold was identified. Further, confirming a fine threshold may include saving information regarding the fine threshold for use in one or more other processes or modes. In some embodiments, when a charge of stimulation exceeds the maximum charge, leading to confirmation of fine threshold assessment (step 1308), the fine threshold may be set at the maximum charge or a charge below the maximum charge that was found to be requisite stimulation.


As described above, one or more progress bars 345, 345′ may track, display, or otherwise indicate progress or status of mapping mode, or one or more processes of mapping mode. For example, progress bar 345 may indicate the progress of mapping mode operations on the left side of patient's anatomy while progress bar 345′ may indicate the progress of mapping mode operations on the right side of a patient's anatomy. In some embodiments, one or more segments of a progress bar 345 may change color, become filled-in, or otherwise be indicated each time a stimulation is delivered and/or an input is received by the LCU 100. In some embodiments, one or more segments of a progress bar 345 may change color, become filled-in, or otherwise be indicated only when a mapping mode process (e.g., a coarse threshold assessment process 1100, an electrode identification process 1200, or a fine threshold assessment process 1300) has been completed.


Therapy Mode


In therapy mode, one or more stimulation arrays may deliver stimulation to one or more therapeutic anatomical targets. In some embodiments, stimulation may be delivered via an electrode combination identified in an electrode identification process (e.g., electrode identification process 1200). Stimulation may be delivered at a charge equal to the set fine threshold (e.g., a fine threshold set as part of a fine threshold assessment process 1300). One or more other parameters of the stimulation (e.g., electrode combinations, pulse width, amplitude) may have been determined during one or more mapping mode processes and/or selected based on user input.


A user may adjust one or more parameters of stimulation via, for example, stimulation intensity adjustment keys 442a,b, 442a′, b′ or stimulation parameters adjustment keys 446a-d, 446a′-d′. For example, a stimulation intensity may be set to 100% of the set fine threshold (as indicated in a stimulation intensity window 441′). As a patient is weaned off respiratory support, a user or healthcare professional may want to reduce the intensity of stimulation. Stimulation intensity adjustment keys 442a,b, 442a′, b′ may be used to reduce the intensity of stimulation to a lower percentage of the set fine threshold


In some embodiments, a user or healthcare professional may, via therapy mode GUI 400, prescribe, program, or set a number of therapeutic stimulations to be delivered over a set time interval. The exact parameters of this timed stimulation delivery may be monitored and/or adjusted via stimulation parameter windows 445a-d, stimulation parameter adjustment keys 446a-d, 446a′-d′, one or more action buttons 460a-e, delivered therapy status window 475, and/or scheduled therapy status window 470. For example, one or more stimulation parameter windows 445a-d (e.g., stimulation parameter window 445a), may display how many stimulations are to be delivered within the set time interval. In some embodiments, stimulation adjustment key 446a would allow a user to increase the number of stimulations (e.g., to more than 10) to be delivered within the set time interval and stimulation adjustment key 446a′ would allow a user to decrease the number of stimulations (e.g., to fewer than 10) to be delivered within the set time interval. By way of another example, one or more stimulation parameter windows 445a-d (e.g., stimulation parameter window 445d) may display how the time interval (e.g., in second, minutes, or hours) over which the number of stimulations (e.g., shown in stimulation window 445a) will be delivered. In this example, stimulation adjustment key 446d, when selected, would increase the time interval, and stimulation adjustment key 446d′, when selected, would decrease the time interval.


In addition to timing and delivery of timed stimulation delivery, stimulation parameter windows 445a-d may display one or more other parameters of stimulation, such as, for example, stimulation amplitude, stimulation pulse width, stimulation charge, stimulation frequency. The stimulation adjustment keys 446a-d, 446a′-d′ may allow a user to adjust the one or more stimulation parameters displayed in stimulation parameter windows 445a-d. For example stimulation adjustment keys 446a and 446a′ may adjust the stimulation parameter shown in stimulation parameter window 445a, stimulation adjustment keys 446b and 446b′ may adjust the stimulation parameter shown in stimulation parameter window 445b, stimulation adjustment keys 446c and 446c′ may adjust the stimulation parameter shown in stimulation parameter window 445c, and stimulation adjustment keys 446d and 446d′ may adjust the stimulation parameter shown in stimulation parameter window 445d.


Further technical modes of the LCU may include data retention and management, touchscreen calibration, date and time adjustment, software and FPGA version information tracking, internal communication logging, cloud data communication/access/storage/sharing, and WiFi/RFID/etc. interface. In some embodiments, these technical modes are not accessible by a general permissions user. According to one or more embodiments, these technical modes may be accessed via user interface 120.

Claims
  • 1. A system for stimulating body tissue, the system comprising: at least one sensor configured to be affixed to, or inserted in, a body to measure airway pressure, airway flowrate, transpulmonary pressure, tidal volume, lung gas distribution, transdiaphragmatic pressure, or a combination thereof;a stimulation array;a user interface; anda control unit including a processor and a non-transitory computer readable medium storing instructions that, when executed by the processor, causes the processor to identify an electrode combination of the stimulation array;wherein identifying an electrode combination of the stimulation array includes receiving an input via the user interface, the at least one sensor, or both, and the input relates to whether a requisite stimulation was detected.
  • 2. The system of claim 1, wherein the stimulation array is supported by an intravascular catheter.
  • 3. The system of claim 1, wherein identifying an electrode combination of the stimulation array further includes: selecting a first set of electrode combinations from a domain of electrode combinations;stimulating from all electrode combinations of the first set of electrode combinations; andrelating a corresponding input to each electrode combination of the first set of electrode combinations.
  • 4. The system of claim 3, wherein identifying an electrode combination of the stimulation array further includes: selecting a second set of electrode combinations, wherein the second set of electrode combinations is a subset of the first set of electrode combinations, and each electrode combination of the second set of electrode combinations corresponds to one input that the requisite stimulation was detected.
  • 5. The system of claim 4, wherein identifying an electrode combination of the stimulation array further includes: individually selecting an electrode combination from the second set of electrode combinations;stimulating from the individually selected electrode combination; andrelating a second corresponding input to the individually selected electrode combination.
  • 6. The system of claim 1, wherein the stimulation array includes at least two groups of electrodes; and identifying an electrode combination includes identifying an electrode combination for each group of electrodes; andthe instructions stored in the non-transitory computer readable medium further cause the processor to determine a threshold charge for each group of electrodes.
  • 7. The system of claim 1, wherein the user interface comprises: an anatomical indication window;at least two action buttons; andone or more stimulation level indication windows; andwherein the instructions stored in the non-transitory computer readable medium, when executed by the processor, cause the processor to assess a position of the stimulation array, and determine a threshold charge for use in stimulating the body tissue;wherein receiving an input via the user interface, the at least one sensor, or both, includes:prompting a user, via the user interface, the one or more sensors, or both, to provide feedback on whether requisite stimulation was detected; andreceiving input on whether the requisite stimulation was detected via the user interface, the one or more sensors, or both.
  • 8. The system of claim 7, wherein identifying the electrode combination of the stimulation array further includes: selecting a first set of electrode combinations from a domain of electrode combinations;stimulating from all electrode combinations of the first set of electrode combinations;relating a corresponding input to each electrode combination of the first set of electrode combinations;based on the corresponding inputs, selecting a second set of electrode combinations, wherein the second set of electrode combinations is a subset of the first set of electrode combinations;stimulating from all electrode combinations of the second set of electrode combinations;relating a second corresponding input to each electrode combination of the second set of electrode combinations; andbased on the second corresponding inputs, selecting the electrode combination.
  • 9. The system of claim 8, wherein the stimulation array includes at least two groups of electrodes; identifying the electrode combination includes identifying an electrode combination for each group of electrodes; anddetermining the threshold charge includes identifying a threshold charge for each group of electrodes.
  • 10. The system of claim 7, wherein the instructions stored in the non-transitory computer readable medium cause the processor, when determining a threshold charge, to determine a coarse threshold charge and a fine threshold charge.
  • 11. The system of claim 10, wherein the instructions stored in the non-transitory computer readable medium cause the processor, when determining a coarse threshold charge to: perform an electrode sweep at a first charge;receive a first input on whether a requisite stimulation was detected;if the first input indicates requisite stimulation was detected, set the coarse threshold charge at a charge of the most recent electrode sweep, ending the determination of the coarse threshold charge; orif the first input indicates the requisite stimulation was not detected, perform an electrode sweep at a second charge greater than the first charge;receive a second input on whether the requisite stimulation was detected; andif the second input indicates the requisite stimulation was detected, set the coarse threshold charge at a charge of the most recent electrode sweep; orif the second input indicates the requisite stimulation was not detected, perform an electrode sweep at a third charge greater than the second charge.
  • 12. The system of claim 11, wherein while the electrode sweep is performed at the first charge, a first portion of the stimulation level indication window is indicated; and while the electrode sweep is performed at the second charge, the first portion and a second portion of the stimulation level indication window are indicated.
  • 13. The system of claim 10, wherein the instructions stored in the non-transitory computer readable medium cause the processor, when determining a fine threshold charge to: select a charge level that corresponds to a determined coarse threshold;determine a domain of charges based on the determined coarse threshold;deliver stimulation at the charge level corresponding to the determined coarse threshold;receive a first input on whether the requisite stimulation was detected; andif the first input indicates the requisite stimulation was detected, deliver stimulation at a charge level of the domain of charges that is less than the determined coarse threshold; orif the first input indicates the requisite stimulation was not detected, deliver stimulation at a charge level of the domain of charges that is greater than the determined coarse threshold.
  • 14. The system of claim 7, wherein a portion of the anatomical indication window is indicated while stimulation is delivered, and wherein the portion corresponds to a tissue receiving the delivered stimulation.
  • 15. The system of claim 7, wherein instructions executed by the processor, cause the processor to, after the threshold charge is determined: prompt the user, via the user interface, to select a charge, out of a set of charges, for stimulating tissue, wherein the set of charges is determined by the processor based on the determined threshold charge.
  • 16. A system for stimulating body tissue, the system comprising: at least one sensor configured to be affixed to, or inserted in, a body to measure one or more physiological parameters of the body;a stimulation array;a user interface; anda control unit including a processor and a non-transitory computer readable medium storing instructions that, when executed by the processor, causes the processor to identify an electrode combination of the stimulation array;wherein identifying an electrode combination of the stimulation array includes: selecting a first set of electrode combinations;stimulating from all electrode combinations of the first set of electrode combinations;for each stimulation from an electrode combination of the first set of electrode combinations, receiving an input via the user interface, the at least one sensor, or both, and the input relates to whether a requisite stimulation was detected;relating a corresponding input to each electrode combination of the first set of electrode combinations; andselecting a second set of electrode combinations, wherein the second set of electrode combinations is a subset of the first set of electrode combinations, and each electrode combination of the second set of electrode combinations corresponds to one input that the requisite stimulation was detected.
  • 17. The system of claim 16, wherein the instructions stored in the non-transitory computer readable medium, when executed by the processor, cause the processor to: determine a threshold charge for use in stimulating the body tissue; andafter the threshold charge is determined, prompt the user, via the user interface, to select a charge, out of a set of charges, for stimulating tissue, wherein the set of charges is determined by the processor based on the determined threshold charge.
  • 18. A system for stimulating body tissue, the system comprising: at least one sensor configured to be affixed to, or inserted in, a body to measure one or more physiological parameters of the body;a stimulation array;a user interface comprising: an anatomical indication window;one or more stimulation level indication windows; anda control unit including a processor and a non-transitory computer readable medium storing instructions that, when executed by the processor, causes the processor to identify an electrode combination of the stimulation array;wherein identifying an electrode combination of the stimulation array includes: prompting a user, via the user interface, to provide feedback on whether a requisite stimulation was detected; andreceiving an input on whether the requisite stimulation was detected via the user interface.
  • 19. The system of claim 18, wherein a portion of the anatomical indication window is indicated while stimulation is delivered, and wherein the portion corresponds to a tissue receiving the delivered stimulation.
  • 20. The system of claim 18, wherein the instructions stored in the non-transitory computer readable medium, when executed by the processor, cause the processor to determine a coarse threshold charge and a fine threshold charge.
CROSS-REFERENCE TO RELATED APPLICATION

This application claims priority to U.S. Provisional Application No. 62/757,576, filed on Nov. 8, 2018, which is hereby incorporated by reference in its entirety. All publications, patent applications, and patents mentioned in this specification are herein incorporated by reference in their entirety to the same extent as if each individual document was specifically individually indicated to be incorporated by reference.

US Referenced Citations (667)
Number Name Date Kind
1693734 Waggoner Dec 1928 A
2532788 Sarnoff Dec 1950 A
2664880 Wales, Jr. Jan 1954 A
3348548 Chardack Oct 1967 A
3470876 John Oct 1969 A
3769984 Muench Nov 1973 A
3804098 Friedman Apr 1974 A
3817241 Grausz Jun 1974 A
3835864 Rasor et al. Sep 1974 A
3847157 Caillouette et al. Nov 1974 A
3851641 Toole et al. Dec 1974 A
3896373 Zelby Jul 1975 A
3938502 Bom Feb 1976 A
3983881 Wickham Oct 1976 A
4054881 Raab Oct 1977 A
4072146 Howes Feb 1978 A
4114601 Abels Sep 1978 A
4173228 Childress et al. Nov 1979 A
4249539 Mezrich et al. Feb 1981 A
4317078 Weed et al. Feb 1982 A
4380237 Newbower Apr 1983 A
4407294 Vilkomerson Oct 1983 A
4416289 Bresler Nov 1983 A
4431005 Mccormick Feb 1984 A
4431006 Trimmer et al. Feb 1984 A
4445501 Bresler May 1984 A
RE31873 Howes Apr 1985 E
4573481 Bullara Mar 1986 A
4586923 Gould et al. May 1986 A
4587975 Salo et al. May 1986 A
4643201 Stokes Feb 1987 A
4674518 Salo Jun 1987 A
4681117 Brodman et al. Jul 1987 A
4683890 Hewson Aug 1987 A
4697595 Breyer et al. Oct 1987 A
4706681 Breyer et al. Nov 1987 A
4771788 Millar Sep 1988 A
4819662 Heil, Jr. et al. Apr 1989 A
4827935 Geddes et al. May 1989 A
4830008 Meer May 1989 A
4840182 Carlson Jun 1989 A
4852580 Wood Aug 1989 A
4860769 Fogarty et al. Aug 1989 A
4905698 Strohl, Jr. et al. Mar 1990 A
4911174 Pederson et al. Mar 1990 A
4934049 Kiekhafer et al. Jun 1990 A
4944088 Doan et al. Jul 1990 A
4951682 Petre Aug 1990 A
4957110 Vogel et al. Sep 1990 A
4989617 Memberg et al. Feb 1991 A
5005587 Scott Apr 1991 A
5036848 Hewson Aug 1991 A
5042143 Holleman et al. Aug 1991 A
5056519 Vince Oct 1991 A
5115818 Holleman et al. May 1992 A
5146918 Kallok et al. Sep 1992 A
5170802 Mehra Dec 1992 A
5184621 Vogel et al. Feb 1993 A
5224491 Mehra Jul 1993 A
5243995 Maier Sep 1993 A
5265604 Vince Nov 1993 A
5267569 Lienhard Dec 1993 A
5314463 Camps et al. May 1994 A
5316009 Yamada May 1994 A
5324322 Grill, Jr. et al. Jun 1994 A
5330522 Kreyenhagen Jul 1994 A
5345936 Pomeranz et al. Sep 1994 A
5383923 Webster, Jr. Jan 1995 A
5411025 Webster, Jr. May 1995 A
5417208 Winkler May 1995 A
5451206 Young Sep 1995 A
5456254 Pietroski et al. Oct 1995 A
5465717 Imran et al. Nov 1995 A
5476498 Ayers Dec 1995 A
5486159 Mahurkar Jan 1996 A
5507725 Savage et al. Apr 1996 A
5524632 Stein et al. Jun 1996 A
5527358 Mehmanesh et al. Jun 1996 A
5531686 Lundquist et al. Jul 1996 A
5549655 Erickson Aug 1996 A
5555618 Winkler Sep 1996 A
5567724 Kelleher et al. Oct 1996 A
5584873 Shoberg et al. Dec 1996 A
5604231 Smith et al. Feb 1997 A
5665103 Lafontaine et al. Sep 1997 A
5678535 Dimarco Oct 1997 A
5683370 Luther et al. Nov 1997 A
5709853 Iino et al. Jan 1998 A
5716392 Bourgeois et al. Feb 1998 A
5733255 Dinh et al. Mar 1998 A
5755765 Hyde et al. May 1998 A
5776111 Tesio Jul 1998 A
5779732 Amundson Jul 1998 A
5782828 Chen et al. Jul 1998 A
5785706 Bednarek Jul 1998 A
5788681 Weaver et al. Aug 1998 A
5813399 Isaza et al. Sep 1998 A
5814086 Hirschberg et al. Sep 1998 A
RE35924 Winkler Oct 1998 E
5824027 Hoffer et al. Oct 1998 A
5827192 Gopakumaran et al. Oct 1998 A
5916163 Panescu et al. Jun 1999 A
5944022 Nardella et al. Aug 1999 A
5954761 Machek et al. Sep 1999 A
5967978 Littmann et al. Oct 1999 A
5971933 Gopakumaran et al. Oct 1999 A
5983126 Wittkampf Nov 1999 A
6006134 Hill et al. Dec 1999 A
6024702 Iversen Feb 2000 A
6096728 Collins et al. Aug 2000 A
6120476 Fung et al. Sep 2000 A
6123699 Webster, Jr. Sep 2000 A
6126649 Vantassel et al. Oct 2000 A
6136021 Tockman et al. Oct 2000 A
6157862 Brownlee et al. Dec 2000 A
6161029 Spreigl et al. Dec 2000 A
6166048 Bencherif Dec 2000 A
6171277 Ponzi Jan 2001 B1
6183463 Webster, Jr. Feb 2001 B1
6198970 Freed et al. Mar 2001 B1
6198974 Webster, Jr. Mar 2001 B1
6201994 Warman et al. Mar 2001 B1
6208881 Champeau Mar 2001 B1
6210339 Kiepen et al. Apr 2001 B1
6212435 Lattner et al. Apr 2001 B1
6216045 Black et al. Apr 2001 B1
6236892 Feler May 2001 B1
6240320 Spehr et al. May 2001 B1
6249708 Nelson et al. Jun 2001 B1
6251126 Ottenhoff et al. Jun 2001 B1
6269269 Ottenhoff et al. Jul 2001 B1
6292695 Webster, Jr. et al. Sep 2001 B1
6295475 Morgan Sep 2001 B1
6360740 Ward et al. Mar 2002 B1
6397108 Camps et al. May 2002 B1
6400976 Champeau Jun 2002 B1
6415183 Scheiner et al. Jul 2002 B1
6415187 Kuzma et al. Jul 2002 B1
6438427 Rexhausen et al. Aug 2002 B1
6445953 Bulkes et al. Sep 2002 B1
6449507 Hill et al. Sep 2002 B1
6463327 Lurie et al. Oct 2002 B1
6493590 Wessman et al. Dec 2002 B1
6508802 Rosengart et al. Jan 2003 B1
6526321 Spehr Feb 2003 B1
6569114 Ponzi et al. May 2003 B2
6584362 Scheiner et al. Jun 2003 B1
6585718 Hayzelden et al. Jul 2003 B2
6587726 Lurie et al. Jul 2003 B2
6602242 Fung et al. Aug 2003 B1
6610713 Tracey Aug 2003 B2
6630611 Malowaniec Oct 2003 B1
6643552 Edell et al. Nov 2003 B2
6651652 Waard Nov 2003 B1
6682526 Jones et al. Jan 2004 B1
6702780 Gilboa et al. Mar 2004 B1
6718208 Hill et al. Apr 2004 B2
6721603 Zabara et al. Apr 2004 B2
6757970 Kuzma et al. Jul 2004 B1
6778854 Puskas Aug 2004 B2
6779257 Kiepen et al. Aug 2004 B2
6844713 Steber et al. Jan 2005 B2
RE38705 Hill et al. Feb 2005 E
6881211 Schweikert et al. Apr 2005 B2
6885888 Rezai Apr 2005 B2
6907285 Denker et al. Jun 2005 B2
6934583 Weinberg et al. Aug 2005 B2
6981314 Black et al. Jan 2006 B2
6999820 Jordan Feb 2006 B2
7018374 Schon et al. Mar 2006 B2
7047627 Black et al. May 2006 B2
7071194 Teng Jul 2006 B2
7072720 Puskas Jul 2006 B2
7077823 Mcdaniel Jul 2006 B2
7082331 Park et al. Jul 2006 B1
7130700 Gardeski et al. Oct 2006 B2
7142903 Rodriguez et al. Nov 2006 B2
7149585 Wessman et al. Dec 2006 B2
7155278 King et al. Dec 2006 B2
7167751 Whitehurst et al. Jan 2007 B1
7168429 Matthews et al. Jan 2007 B2
7184829 Hill et al. Feb 2007 B2
7206636 Turcott Apr 2007 B1
7212867 Van et al. May 2007 B2
7225016 Koh May 2007 B1
7225019 Jahns et al. May 2007 B2
7229429 Martin et al. Jun 2007 B2
7231260 Wallace et al. Jun 2007 B2
7235070 Vanney Jun 2007 B2
7269459 Koh Sep 2007 B1
7277757 Casavant et al. Oct 2007 B2
7283875 Larsson et al. Oct 2007 B2
7340302 Falkenberg et al. Mar 2008 B1
7363085 Benser et al. Apr 2008 B1
7363086 Koh et al. Apr 2008 B1
7371220 Koh et al. May 2008 B1
7416552 Paul et al. Aug 2008 B2
7421296 Benser et al. Sep 2008 B1
7454244 Kassab et al. Nov 2008 B2
7519425 Benser et al. Apr 2009 B2
7519426 Koh et al. Apr 2009 B1
7522953 Gharib et al. Apr 2009 B2
7553305 Honebrink et al. Jun 2009 B2
7555349 Wessman et al. Jun 2009 B2
7569029 Clark et al. Aug 2009 B2
7591265 Lee et al. Sep 2009 B2
7593760 Rodriguez et al. Sep 2009 B2
7613524 Jordan Nov 2009 B2
7636600 Koh Dec 2009 B1
7670284 Padget et al. Mar 2010 B2
7672728 Libbus et al. Mar 2010 B2
7672729 Koh et al. Mar 2010 B2
7676275 Farazi et al. Mar 2010 B1
7676910 Kiepen et al. Mar 2010 B2
7697984 Hill et al. Apr 2010 B2
7747323 Libbus et al. Jun 2010 B2
7771388 Olsen et al. Aug 2010 B2
7783362 Whitehurst et al. Aug 2010 B2
7794407 Rothenberg Sep 2010 B2
7797050 Libbus et al. Sep 2010 B2
7813805 Farazi Oct 2010 B1
7819883 Westlund et al. Oct 2010 B2
7840270 Ignagni et al. Nov 2010 B2
7853302 Rodriguez et al. Dec 2010 B2
7869865 Govari et al. Jan 2011 B2
7891085 Kuzma et al. Feb 2011 B1
7925352 Stack et al. Apr 2011 B2
7949409 Bly et al. May 2011 B2
7949412 Harrison et al. May 2011 B1
7962215 Ignagni et al. Jun 2011 B2
7970475 Tehrani et al. Jun 2011 B2
7972323 Bencini et al. Jul 2011 B1
7974693 David et al. Jul 2011 B2
7974705 Zdeblick et al. Jul 2011 B2
7979128 Tehrani et al. Jul 2011 B2
7994655 Bauer et al. Aug 2011 B2
8000765 Rodriguez et al. Aug 2011 B2
8019439 Kuzma et al. Sep 2011 B2
8021327 Selkee Sep 2011 B2
8036750 Caparso et al. Oct 2011 B2
8050765 Lee et al. Nov 2011 B2
8052607 Byrd Nov 2011 B2
8104470 Lee et al. Jan 2012 B2
8116872 Tehrani et al. Feb 2012 B2
8121692 Haefner et al. Feb 2012 B2
8135471 Zhang et al. Mar 2012 B2
8140164 Tehrani et al. Mar 2012 B2
8147486 Honour et al. Apr 2012 B2
8160701 Zhao et al. Apr 2012 B2
8160711 Tehrani et al. Apr 2012 B2
8195297 Penner Jun 2012 B2
8200336 Tehrani et al. Jun 2012 B2
8206343 Racz Jun 2012 B2
8224456 Daglow et al. Jul 2012 B2
8233987 Gelfand et al. Jul 2012 B2
8233993 Jordan Jul 2012 B2
8239037 Glenn et al. Aug 2012 B2
8244358 Tehrani et al. Aug 2012 B2
8244359 Gelfand et al. Aug 2012 B2
8244378 Bly et al. Aug 2012 B2
8255056 Tehrani Aug 2012 B2
8256419 Sinderby et al. Sep 2012 B2
8265736 Sathaye et al. Sep 2012 B2
8265759 Tehrani et al. Sep 2012 B2
8275440 Rodriguez et al. Sep 2012 B2
8280513 Tehrani et al. Oct 2012 B2
8315713 Burnes et al. Nov 2012 B2
8321808 Goetz et al. Nov 2012 B2
8335567 Tehrani et al. Dec 2012 B2
8340783 Sommer et al. Dec 2012 B2
8348941 Tehrani Jan 2013 B2
8369954 Stack et al. Feb 2013 B2
8374704 Desai et al. Feb 2013 B2
8388541 Messerly et al. Mar 2013 B2
8388546 Rothenberg Mar 2013 B2
8391956 Zellers et al. Mar 2013 B2
8401640 Zhao et al. Mar 2013 B2
8401651 Caparso et al. Mar 2013 B2
8406883 Barker Mar 2013 B1
8406885 Ignagni et al. Mar 2013 B2
8412331 Tehrani et al. Apr 2013 B2
8412350 Bly Apr 2013 B2
8428711 Lin et al. Apr 2013 B2
8428726 Ignagni et al. Apr 2013 B2
8428730 Stack et al. Apr 2013 B2
8433412 Westlund et al. Apr 2013 B1
8442638 Libbus et al. May 2013 B2
8457764 Ramachandran et al. Jun 2013 B2
8467876 Tehrani Jun 2013 B2
8473068 Farazi Jun 2013 B2
8478412 Ignagni et al. Jul 2013 B2
8478413 Karamanoglu et al. Jul 2013 B2
8478426 Barker Jul 2013 B2
8483834 Lee et al. Jul 2013 B2
8504158 Karamanoglu et al. Aug 2013 B2
8504161 Kornet et al. Aug 2013 B1
8509901 Tehrani Aug 2013 B2
8509902 Cho et al. Aug 2013 B2
8509919 Yoo et al. Aug 2013 B2
8512256 Rothenberg Aug 2013 B2
8522779 Lee et al. Sep 2013 B2
8527036 Jalde et al. Sep 2013 B2
8532793 Morris et al. Sep 2013 B2
8554323 Haefner et al. Oct 2013 B2
8560072 Caparso et al. Oct 2013 B2
8560086 Just et al. Oct 2013 B2
8571662 Hoffer Oct 2013 B2
8571685 Daglow et al. Oct 2013 B2
8615297 Sathaye et al. Dec 2013 B2
8617228 Wittenberger et al. Dec 2013 B2
8620412 Griffiths et al. Dec 2013 B2
8620450 Tockman et al. Dec 2013 B2
8626292 Mccabe et al. Jan 2014 B2
8630707 Zhao et al. Jan 2014 B2
8644939 Wilson et al. Feb 2014 B2
8644952 Desai et al. Feb 2014 B2
8646172 Kuzma et al. Feb 2014 B2
8650747 Kuzma et al. Feb 2014 B2
8676323 Ignagni et al. Mar 2014 B2
8676344 Desai et al. Mar 2014 B2
8694123 Wahlstrand et al. Apr 2014 B2
8696656 Abboud et al. Apr 2014 B2
8706223 Zhou et al. Apr 2014 B2
8706235 Karamanoglu et al. Apr 2014 B2
8706236 Ignagni et al. Apr 2014 B2
8718763 Zhou et al. May 2014 B2
8725259 Kornet et al. May 2014 B2
8738154 Zdeblick et al. May 2014 B2
8755889 Scheiner Jun 2014 B2
8774907 Rothenberg Jul 2014 B2
8781578 Mccabe et al. Jul 2014 B2
8781582 Ziegler et al. Jul 2014 B2
8781583 Cornelussen et al. Jul 2014 B2
8801693 He et al. Aug 2014 B2
8805511 Karamanoglu et al. Aug 2014 B2
8838245 Lin et al. Sep 2014 B2
8858455 Rothenberg Oct 2014 B2
8863742 Blomquist et al. Oct 2014 B2
8886277 Kim et al. Nov 2014 B2
8886322 Meadows et al. Nov 2014 B2
8897879 Karamanoglu et al. Nov 2014 B2
8903507 Desai et al. Dec 2014 B2
8903509 Tockman et al. Dec 2014 B2
8909341 Gelfand et al. Dec 2014 B2
8914113 Zhang et al. Dec 2014 B2
8918169 Kassab et al. Dec 2014 B2
8918987 Kuzma et al. Dec 2014 B2
8923971 Haefner et al. Dec 2014 B2
8942823 Desai et al. Jan 2015 B2
8942824 Yoo et al. Jan 2015 B2
8948884 Ramachandran et al. Feb 2015 B2
8968299 Kauphusman et al. Mar 2015 B2
8972015 Stack et al. Mar 2015 B2
8983602 Sathaye et al. Mar 2015 B2
9008775 Sathaye et al. Apr 2015 B2
9026231 Hoffer May 2015 B2
9037264 Just et al. May 2015 B2
9042981 Yoo et al. May 2015 B2
9072864 Putz Jul 2015 B2
9072899 Nickloes Jul 2015 B1
9108058 Hoffer Aug 2015 B2
9108059 Hoffer Aug 2015 B2
9125578 Grunwald Sep 2015 B2
9138580 Ignagni et al. Sep 2015 B2
9138585 Saha et al. Sep 2015 B2
9144680 Kaula et al. Sep 2015 B2
9149642 Mccabe et al. Oct 2015 B2
9168377 Hoffer Oct 2015 B2
9174046 Francois et al. Nov 2015 B2
9205258 Simon et al. Dec 2015 B2
9216291 Lee et al. Dec 2015 B2
9220898 Hoffer Dec 2015 B2
9226688 Jacobsen et al. Jan 2016 B2
9226689 Jacobsen et al. Jan 2016 B2
9242088 Thakkar et al. Jan 2016 B2
9259573 Tehrani et al. Feb 2016 B2
9295846 Westlund et al. Mar 2016 B2
9314618 Imran et al. Apr 2016 B2
9333363 Hoffer et al. May 2016 B2
9345422 Rothenberg May 2016 B2
9370657 Tehrani et al. Jun 2016 B2
9398931 Wittenberger et al. Jul 2016 B2
9415188 He et al. Aug 2016 B2
9427566 Reed et al. Aug 2016 B2
9427588 Sathaye et al. Aug 2016 B2
9474894 Mercanzini et al. Oct 2016 B2
9485873 Shah et al. Nov 2016 B2
9498625 Bauer et al. Nov 2016 B2
9498631 Demmer et al. Nov 2016 B2
9504837 Demmer et al. Nov 2016 B2
9532724 Grunwald et al. Jan 2017 B2
9533160 Brooke et al. Jan 2017 B2
9539429 Brooke et al. Jan 2017 B2
9545511 Thakkar et al. Jan 2017 B2
9561369 Burnes et al. Feb 2017 B2
9566436 Hoffer et al. Feb 2017 B2
9572982 Burnes et al. Feb 2017 B2
9597509 Hoffer et al. Mar 2017 B2
9615759 Hurezan et al. Apr 2017 B2
9623239 Francois et al. Apr 2017 B2
9623252 Sathaye et al. Apr 2017 B2
9662494 Young et al. May 2017 B2
9682235 O'Mahony et al. Jun 2017 B1
9694185 Bauer Jul 2017 B2
9717899 Kuzma et al. Aug 2017 B2
9724018 Cho et al. Aug 2017 B2
9744351 Gelfand et al. Aug 2017 B1
9776005 Meyyappan et al. Oct 2017 B2
9861817 Cho et al. Jan 2018 B2
9872989 Jung et al. Jan 2018 B2
9884178 Bouton et al. Feb 2018 B2
9884179 Bouton et al. Feb 2018 B2
9919149 Imran et al. Mar 2018 B2
9931504 Thakkar et al. Apr 2018 B2
9950167 Hoffer et al. Apr 2018 B2
9956132 Francois et al. May 2018 B2
9956396 Young et al. May 2018 B2
9968785 Hoffer et al. May 2018 B2
9968786 Bauer et al. May 2018 B2
10022546 Hoffer et al. Jul 2018 B2
10035017 Thakkar et al. Jul 2018 B2
10039920 Thakkar et al. Aug 2018 B1
10195429 Thakkar et al. Feb 2019 B1
10293164 Nash et al. May 2019 B2
10369361 Bauer et al. Aug 2019 B2
10391314 Hoffer et al. Aug 2019 B2
10406367 Meyyappan Sep 2019 B2
10413203 Saha et al. Sep 2019 B2
10448995 Olson Oct 2019 B2
10987511 Gani Apr 2021 B2
20010052345 Niazi Dec 2001 A1
20020026228 Schauerte Feb 2002 A1
20020056454 Samzelius May 2002 A1
20020065544 Smits et al. May 2002 A1
20020087156 Maguire et al. Jul 2002 A1
20020128546 Silver Sep 2002 A1
20020188325 Hill et al. Dec 2002 A1
20030078623 Weinberg et al. Apr 2003 A1
20030195571 Burnes et al. Oct 2003 A1
20040003813 Banner et al. Jan 2004 A1
20040010303 Bolea et al. Jan 2004 A1
20040030362 Hill et al. Feb 2004 A1
20040044377 Larsson et al. Mar 2004 A1
20040064069 Reynolds et al. Apr 2004 A1
20040077936 Larsson et al. Apr 2004 A1
20040088015 Casavant et al. May 2004 A1
20040111139 Mccreery Jun 2004 A1
20040186543 King et al. Sep 2004 A1
20040210261 King et al. Oct 2004 A1
20050004565 Vanney Jan 2005 A1
20050013879 Lin et al. Jan 2005 A1
20050021102 Ignagni et al. Jan 2005 A1
20050027338 Hill Feb 2005 A1
20050033136 Govari et al. Feb 2005 A1
20050033137 Oral et al. Feb 2005 A1
20050043765 Williams et al. Feb 2005 A1
20050065567 Lee et al. Mar 2005 A1
20050070981 Verma Mar 2005 A1
20050075578 Gharib et al. Apr 2005 A1
20050085865 Tehrani Apr 2005 A1
20050085866 Tehrani Apr 2005 A1
20050085867 Tehrani et al. Apr 2005 A1
20050085868 Tehrani et al. Apr 2005 A1
20050085869 Tehrani et al. Apr 2005 A1
20050096710 Kieval May 2005 A1
20050109340 Tehrani May 2005 A1
20050113710 Stahmann et al. May 2005 A1
20050115561 Stahmann et al. Jun 2005 A1
20050131485 Knudson et al. Jun 2005 A1
20050138791 Black et al. Jun 2005 A1
20050138792 Black et al. Jun 2005 A1
20050143787 Boveja et al. Jun 2005 A1
20050165457 Benser et al. Jul 2005 A1
20050182454 Gharib et al. Aug 2005 A1
20050187584 Denker et al. Aug 2005 A1
20050192655 Black et al. Sep 2005 A1
20050251238 Wallace et al. Nov 2005 A1
20050251239 Wallace et al. Nov 2005 A1
20050288728 Libbus et al. Dec 2005 A1
20050288730 Deem et al. Dec 2005 A1
20060030894 Tehrani Feb 2006 A1
20060035849 Spiegelman et al. Feb 2006 A1
20060058852 Koh et al. Mar 2006 A1
20060074449 Denker et al. Apr 2006 A1
20060122661 Mandell Jun 2006 A1
20060122662 Tehrani et al. Jun 2006 A1
20060130833 Younes Jun 2006 A1
20060142815 Tehrani et al. Jun 2006 A1
20060149334 Tehrani et al. Jul 2006 A1
20060155222 Sherman et al. Jul 2006 A1
20060167523 Tehrani et al. Jul 2006 A1
20060188325 Dolan Aug 2006 A1
20060195159 Bradley et al. Aug 2006 A1
20060217791 Spinka et al. Sep 2006 A1
20060024222 Bradley et al. Oct 2006 A1
20060224209 Meyer Oct 2006 A1
20060229677 Moffitt et al. Oct 2006 A1
20060247729 Tehrani et al. Nov 2006 A1
20060253161 Libbus et al. Nov 2006 A1
20060253182 King Nov 2006 A1
20060258667 Teng Nov 2006 A1
20060259107 Caparso et al. Nov 2006 A1
20060282131 Caparso et al. Dec 2006 A1
20060287679 Stone Dec 2006 A1
20070005053 Dando Jan 2007 A1
20070021795 Tehrani Jan 2007 A1
20070027448 Paul et al. Feb 2007 A1
20070087314 Gomo Apr 2007 A1
20070093875 Chavan et al. Apr 2007 A1
20070106357 Denker et al. May 2007 A1
20070112402 Grill et al. May 2007 A1
20070112403 Moffitt et al. May 2007 A1
20070118183 Gelfand et al. May 2007 A1
20070150006 Libbus et al. Jun 2007 A1
20070168007 Kuzma et al. Jul 2007 A1
20070173900 Siegel et al. Jul 2007 A1
20070191908 Jacob et al. Aug 2007 A1
20070196780 Ware et al. Aug 2007 A1
20070203549 Demarais et al. Aug 2007 A1
20070208388 Jahns et al. Sep 2007 A1
20070221224 Pittman et al. Sep 2007 A1
20070240718 Daly Oct 2007 A1
20070250056 Vanney Oct 2007 A1
20070250162 Royalty Oct 2007 A1
20070255379 Williams et al. Nov 2007 A1
20070265611 Ignagni et al. Nov 2007 A1
20070288076 Bulkes et al. Dec 2007 A1
20080039916 Colliou et al. Feb 2008 A1
20080065002 Lobl et al. Mar 2008 A1
20080125828 Ignagni et al. May 2008 A1
20080161878 Tehrani et al. Jul 2008 A1
20080167695 Tehrani et al. Jul 2008 A1
20080177347 Tehrani et al. Jul 2008 A1
20080183186 Bly et al. Jul 2008 A1
20080183187 Bly Jul 2008 A1
20080183239 Tehrani et al. Jul 2008 A1
20080183240 Tehrani et al. Jul 2008 A1
20080183253 Bly Jul 2008 A1
20080183254 Bly et al. Jul 2008 A1
20080183255 Bly et al. Jul 2008 A1
20080183259 Bly et al. Jul 2008 A1
20080183264 Bly et al. Jul 2008 A1
20080183265 Bly et al. Jul 2008 A1
20080188903 Tehrani et al. Aug 2008 A1
20080215106 Lee et al. Sep 2008 A1
20080288010 Tehrani et al. Nov 2008 A1
20080288015 Tehrani et al. Nov 2008 A1
20080312712 Penner Dec 2008 A1
20080312725 Penner Dec 2008 A1
20090024047 Shipley et al. Jan 2009 A1
20090036947 Westlund et al. Feb 2009 A1
20090118785 Ignagni et al. May 2009 A1
20090275956 Burnes et al. Nov 2009 A1
20090275996 Burnes et al. Nov 2009 A1
20090276022 Burnes et al. Nov 2009 A1
20090318993 Eidenschink et al. Dec 2009 A1
20100022950 Anderson et al. Jan 2010 A1
20100036451 Hoffer Feb 2010 A1
20100077606 Black et al. Apr 2010 A1
20100094376 Penner Apr 2010 A1
20100114227 Cholette May 2010 A1
20100114254 Kornet May 2010 A1
20100198296 Ignagni et al. Aug 2010 A1
20100204766 Zdeblick et al. Aug 2010 A1
20100249865 Zhang Sep 2010 A1
20100268311 Cardinal et al. Oct 2010 A1
20100319691 Lurie et al. Dec 2010 A1
20110060381 Ignagni et al. Mar 2011 A1
20110077726 Westlund et al. Mar 2011 A1
20110093032 Boggs, II et al. Apr 2011 A1
20110118815 Kuzma et al. May 2011 A1
20110230932 Tehrani et al. Sep 2011 A1
20110230935 Zdeblick Sep 2011 A1
20110230945 Ohtaka et al. Sep 2011 A1
20110270358 Davis et al. Nov 2011 A1
20110288609 Tehrani et al. Nov 2011 A1
20120035684 Thompson et al. Feb 2012 A1
20120053654 Tehrani et al. Mar 2012 A1
20120078320 Schotzko et al. Mar 2012 A1
20120130217 Kauphusman et al. May 2012 A1
20120158091 Tehrani et al. Jun 2012 A1
20120209284 Westlund et al. Aug 2012 A1
20120215278 Penner Aug 2012 A1
20120271382 Arcot-Krishnamurthy et al. Oct 2012 A1
20120323293 Tehrani et al. Dec 2012 A1
20130018247 Glenn et al. Jan 2013 A1
20130018427 Pham et al. Jan 2013 A1
20130023972 Kuzma et al. Jan 2013 A1
20130030496 Karamanoglu et al. Jan 2013 A1
20130030497 Karamanoglu et al. Jan 2013 A1
20130030498 Karamanoglu et al. Jan 2013 A1
20130060245 Grunewald et al. Mar 2013 A1
20130116743 Karamanoglu et al. May 2013 A1
20130123891 Swanson May 2013 A1
20130131743 Yamasaki et al. May 2013 A1
20130158625 Gelfand et al. Jun 2013 A1
20130165989 Gelfand et al. Jun 2013 A1
20130167372 Black et al. Jul 2013 A1
20130197601 Tehrani et al. Aug 2013 A1
20130237906 Park et al. Sep 2013 A1
20130268018 Brooke et al. Oct 2013 A1
20130289686 Masson et al. Oct 2013 A1
20130296964 Tehrani Nov 2013 A1
20130296973 Tehrani et al. Nov 2013 A1
20130317587 Barker Nov 2013 A1
20130333696 Lee et al. Dec 2013 A1
20140067032 Morris et al. Mar 2014 A1
20140088580 Wittenberger et al. Mar 2014 A1
20140114371 Westlund et al. Apr 2014 A1
20140121716 Casavant et al. May 2014 A1
20140128953 Zhao et al. May 2014 A1
20140148780 Putz May 2014 A1
20140316486 Zhou et al. Oct 2014 A1
20140324115 Ziegler et al. Oct 2014 A1
20140378803 Geistert et al. Dec 2014 A1
20150018839 Morris et al. Jan 2015 A1
20150034081 Tehrani et al. Feb 2015 A1
20150045810 Hoffer et al. Feb 2015 A1
20150045848 Cho et al. Feb 2015 A1
20150119950 Demmer et al. Apr 2015 A1
20150165207 Karamanoglu Jun 2015 A1
20150196354 Haverkost et al. Jul 2015 A1
20150196356 Kauphusman et al. Jul 2015 A1
20150202448 Hoffer et al. Jul 2015 A1
20150231348 Lee et al. Aug 2015 A1
20150250982 Osypka et al. Sep 2015 A1
20150265833 Meyyappan et al. Sep 2015 A1
20150283340 Zhang et al. Oct 2015 A1
20150290476 Krocak et al. Oct 2015 A1
20150359487 Coulombe Dec 2015 A1
20150374252 De La Rama et al. Dec 2015 A1
20150374991 Morris et al. Dec 2015 A1
20160001072 Gelfand et al. Jan 2016 A1
20160144078 Young et al. May 2016 A1
20160193460 Xu et al. Jul 2016 A1
20160228696 Imran et al. Aug 2016 A1
20160239627 Cerny et al. Aug 2016 A1
20160256692 Baru Sep 2016 A1
20160310730 Martins et al. Oct 2016 A1
20160331326 Xiang et al. Nov 2016 A1
20160367815 Hoffer Dec 2016 A1
20170007825 Thakkar et al. Jan 2017 A1
20170013713 Shah et al. Jan 2017 A1
20170021166 Bauer et al. Jan 2017 A1
20170028191 Mercanzini et al. Feb 2017 A1
20170036017 Tehrani et al. Feb 2017 A1
20170050033 Wechter Feb 2017 A1
20170143973 Tehrani May 2017 A1
20170143975 Hoffer et al. May 2017 A1
20170196503 Narayan et al. Jul 2017 A1
20170224993 Sathaye et al. Aug 2017 A1
20170232250 Kim et al. Aug 2017 A1
20170252558 O'Mahony et al. Sep 2017 A1
20170291023 Kuzma et al. Oct 2017 A1
20170296812 O'Mahony et al. Oct 2017 A1
20170312006 Mcfarlin et al. Nov 2017 A1
20170312507 Bauer et al. Nov 2017 A1
20170312508 Bauer et al. Nov 2017 A1
20170312509 Bauer et al. Nov 2017 A1
20170326359 Gelfand et al. Nov 2017 A1
20170347921 Haber et al. Dec 2017 A1
20180001086 Bartholomew et al. Jan 2018 A1
20180008821 Gonzalez et al. Jan 2018 A1
20180110562 Govari et al. Apr 2018 A1
20180117334 Jung May 2018 A1
20180256440 Francois et al. Sep 2018 A1
20210077807 Gani Mar 2021 A1
Foreign Referenced Citations (42)
Number Date Country
1652839 Aug 2005 CN
102143781 Aug 2011 CN
0993840 Apr 2000 EP
1304135 Apr 2003 EP
0605796 Aug 2003 EP
2489395 Aug 2012 EP
3180073 Mar 2020 EP
2801509 Jun 2001 FR
H08510677 Nov 1996 JP
2003503119 Jan 2003 JP
2010516353 May 2010 JP
2011200571 Oct 2011 JP
2012000195 Jan 2012 JP
WO-9407564 Apr 1994 WO
WO-9508357 Mar 1995 WO
WO-9964105 Dec 1999 WO
WO-9965561 Dec 1999 WO
WO-0100273 Jan 2001 WO
WO-02058785 Aug 2002 WO
WO-03005887 Jan 2003 WO
WO-03094855 Nov 2003 WO
WO-2006110338 Oct 2006 WO
WO-2006115877 Nov 2006 WO
WO-2007053508 May 2007 WO
WO-2008092246 Aug 2008 WO
WO-2008094344 Aug 2008 WO
WO-2009006337 Jan 2009 WO
WO-2009134459 Nov 2009 WO
WO-2010029842 Mar 2010 WO
WO-2010148412 Dec 2010 WO
WO-2011094631 Aug 2011 WO
WO-2011158410 Dec 2011 WO
WO-2012106533 Aug 2012 WO
WO-2013131187 Sep 2013 WO
WO-2013188965 Dec 2013 WO
WO-2014008171 Jan 2014 WO
WO-2015075548 May 2015 WO
WO-2015109401 Jul 2015 WO
2016025912 Feb 2016 WO
WO-2019154834 Aug 2019 WO
WO-2019154837 Aug 2019 WO
WO-2019154839 Aug 2019 WO
Non-Patent Literature Citations (64)
Entry
International Search Report issued in corresponding International Application No. PCT/US2019/060268 dated Mar. 5, 2020 (2 pages).
Antonica A., et al., “Vagal Control of Lymphocyte Release from Rat Thymus,” Journal of the Autonomic Nervous System, Elsevier, vol. 48(3), Aug. 1994, pp. 187-197.
Ayas N.T., et al., “Prevention of Human Diaphragm Atrophy with Short periods of Electrical Stimulation,” American Journal of Respiratory and Critical Care Medicine, Jun. 1999, vol. 159(6), pp. 2018-2020.
Borovikova, et al., “Role of the Vagus Nerve in the Anti-Inflammatory Effects of CNI-1493,” Proceedings of the Annual Meeting of Professional Research Scientists: Experimental Biology 2000, Abstract 97.9, Apr. 15-18, 2000.
Borovikova L.V., et al., “Role of Vagus Nerve Signaling in CNI-1493-Mediated Suppression of Acute Inflammation,” Autonomic Neuroscience: Basic and Clinical, vol. 85 (1-3), Dec. 20, 2000, pp. 141-147.
Borovikova L.V., et al., “Vagus Nerve Stimulation Attenuates the Systemic Inflammatory Response to Endotoxin,” Nature, Macmillan Magazines Ltd, vol. 405, May 25, 2000, pp. 458-462.
Chinese Search Report for Application No. CN2013/80023357.5, dated Jul. 24, 2015.
Co-pending U.S. Appl. No. 15/606,867, filed May 26, 2017.
Daggeti, W.M. et al., “Intracaval Electrophrenic Stimulation. I. Experimental Application during Barbiturate Intoxication Hemorrhage and Gang,” Journal of Thoracic and Cardiovascular Surgery, 1966, vol. 51 (5), pp. 676-884.
Daggeti, W.M. et al., “Intracaval electrophrenic stimulation. II. Studies on Pulmonary Mechanics Surface Tension Urine Flow and Bilateral Ph,” Journal of Thoracic and Cardiovascular Surgery, 1970, vol. 60(1 ), pp. 98-107.
De Gregorio, M.A. et al., “The Gunther Tulip Retrievable Filter: Prolonged Temporary Filtration by Repositioning within the Inferior Vena Cava,” Journal of Vascular and Interventional Radiology, 2003, vol. 14, pp. 1259-1265.
Deng Y-J et al., “The Effect of Positive Pressure Ventilation Combined with Diaphragm Pacing on Respiratory Mechanics in Patients with Respiratory Failure; Respiratory Mechanics,” Chinese critical care medicine, Apr. 2011, vol. 23(4), pp. 213-215.
Escher, Doris J.W. et al., “Clinical Control of Respiration by Transvenous Phrenic Pacing,” American Society for Artificial Internal Organs: Apr. 1968—vol. 14—Issue 1—pp. 192-197.
European Search Report for U.S. Appl. No. 13/758,363, dated Nov. 12, 2015.
European Search Report for Application No. EP17169051.4, dated Sep. 8, 2017, 7 pages.
Extended European Search Report for Application No. 14864542.7, dated Jun. 2, 2017, 8 pages.
Extended European Search Report for Application No. 15740415.3, dated Jul. 7, 2017.
Fleshner M., et al., “Thermogenic and Corticosterone Responses to Intravenous Cytokines (IL-1β and TNF-α) are Attenuated by Subdiaphragmatic Vagotomy,” Journal of Neuroimmunology, vol. 86, Jun. 1998, pp. 134-141.
Frisch S., “A Feasibility Study of a Novel Minimally Invasive Approach for Diaphragm Pacing,” Master of Science Thesis, Simon Fraser University, 2009, p. 148.
Furman, S., “Transvenous Stimulation of the Phrenic Nerves,” Journal of Thoracic and Cardiovascular Surgery, 1971, vol. 62 (5), pp. 743-751.
Gaykema R.P.A. et al., “Subdiaphragmatic Vagotomy Suppresses Endotoxin-Induced Activation of Hypothalamic Corticotropin-Releasing Hormone Neurons and ACTH Secretion,” Endocrinology, The Endocrine Society, vol. 136 (10), 1995, pp. 4717-4720.
Gupta A.K., “Respiration Rate Measurement Based on Impedance Pneumography,” Data Acquisition Products, Texas Instruments, Application Report, SBAA181, Feb. 2011, 11 pages.
Guslandi M., “Nicotine Treatment for Ulcerative Colitis,” The British Journal of Clinical Pharmacology, Blackwell Science Ltd, vol. 48, 1999, pp. 481-484.
Hoffer J.A. et al., “Diaphragm Pacing with Endovascular Electrodes”, IFESS 2010—International Functional Electrical Stimulation Society, 15th Anniversary Conference, Vienna, Austria, Sep. 2010.
Huffman, William J. et al., “Modulation of Neuroinflammation and Memory Dysfunction Using Percutaneous Vagus Nerve Stimulation in Mice,” Brain Stimulation, 2018.
Ishii, K. et al., “Effects of Bilateral Transvenous Diaphragm Pacing on Hemodynamic Function in Patients after Cardiac Operations,” J. Thorac. Cardiovasc. Surg., 1990.
Japanese Office Action in corresponding Japanese Application No. 2014-560202, dated Dec. 6, 2016, 4 pages.
Japanese Office Action in corresponding Japanese Application No. 2014-560202, dated Oct. 17, 2017, 5 pages.
Kawashima K., et al., “Extraneuronal Cholinergic System in Lymphocytes,” Pharmacology & Therapeutics, Elsevier, vol. 86, 2000, pp. 29-48.
Levine S., et al., “Rapid disuse atrophy of diaphragm fibers in mechanically ventilated humans,” New England Journal of Medicine, 2008, vol. 358, pp. 1327-1335.
Lungpacer: Therapy, News .< http://lungpacer.com>. Accessed Dec. 27, 2016.
Madretsma, G.S., et al., “Nicotine Inhibits the In-vitro Production of Interleukin 2 and Tumour Necrosis Factor-α by Human Mononuclear Cells,” Immunopharmacology, Elsevier, vol. 35(1), Oct. 1996, pp. 47-51.
Marcy, T.W. et al., “Diaphragm Pacing for Ventilatory Insufficiency,” Journal of Intensive Care Medicine, 1987, vol. 2 (6), pp. 345-353.
Meyyappan R., “Diaphragm Pacing during Controlled Mechanical Ventilation: Pre-Clinical Observations Reveal A Substantial Improvement In Respiratory Mechanics”, 17th Biennial Canadian Biomechanics Society Meeting, Burnaby, BC, Jun. 6-9, 2012.
Nabutovsky, Y., et al., “Lead Design and Initial Applications of a New Lead for Long-Term Endovascular Vagal Stimulation,” PACE, Blackwell Publishing, Inc, vol. 30(1), Jan. 2007, pp. S215-S218.
Notification of Reasons for Rejection and English language translation issued in corresponding Japanese Patent Application No. 2015-517565, dated Mar. 28, 2017, 6 pages.
Onders R.,, “A Diaphragm Pacing as a Short-Term Assist to Positive Pressure Mechanical Ventilation in Critical Care Patients,” Chest, Oct. 24, 2007, vol. 132(4), pp. 5715-5728.
Onders R.,, “Diaphragm Pacing for Acute Respiratory Failure,” Difficult Decisions in Thoracic Surgery, Chapter 37, Springer-Verlag, 2011, M.K. Ferguson (ed.), pp. 329-335.
Onders R, et al., “Diaphragm Pacing with Natural Orifice Transluminal Endoscopic Surgery: Potential for Difficult-To-Wean Intensive Care Unit Patients,” Surgical Endoscopy, 2007, vol. 21, pp. 475-479.
Pavlovic D., et al., “Diaphragm Pacing During Prolonged Mechanical Ventilation of the Lungs could Prevent from Respiratory Muscle Fatigue,” Medical Hypotheses, vol. 60 (3), 2003, pp. 398-403.
Planas R.F., et al., “Diaphragmatic Pressures: Transvenous vs. Direct Phrenic Nerve Stimulation,” Journal of Applied Physiology, vol. 59(1), 1985, pp. 269-273.
Romanovsky, A.A., et al., “The Vagus Nerve in the Thermoregulatory Response to Systemic Inflammation,” American Journal of Physiology, vol. 273 (1 Pt 2), 1997, pp. R407-R413.
Salmela L., et al., “Verification of the Position of a Central Venous Catheter by Intra-Atrial ECG. When does this method fail?,” Acta Anasthesiol Scand, vol. 37 (1), 1993, pp. 26-28.
Sandborn W.J., “Transdermal Nicotine for Mildly to Moderately Active Ulcerative Colitis,” Annals of Internal Medicine, vol. 126 (5), Mar. 1, 1997, pp. 364-371.
Sandoval R., “A Catch/Ike Property-Based Stimulation Protocol for Diaphragm Pacing”, Master of Science Coursework project, Simon Fraser University, Mar. 2013.
Sarnoff, S.J. et al., “Electrophrenic Respiration,” Science, 1948, vol. 108, p. 482.
Sato E., et al., “Acetylcholine Stimulates Alveolar Macrophages to Release Inflammatory Cell Chemotactic Activity,” American Journal of Physiology, vol. 274 (Lung Cellular and Molecular Physiology 18), 1998, pp. L970-L979.
Sato, K.Z., et al., “Diversity of mRNA Expression for Muscarinic Acetylcholine Receptor Subtypes and Neuronal Nicotinic Acetylcholine Receptor Subunits in Human Mononuclear Leukocytes and Leukemic Cell Lines,” Neuroscience Letters, vol. 266 (1), 1999, pp. 17-20.
Schauerte P., et al., “Transvenous Parasympathetic Nerve Stimulation in the Inferior Vena Cava and Atrioventricular Conduction,” Journal of Cardiovascular Electrophysiology, vol. 11 (1), Jan. 2000, pp. 64-69.
Schauerte P.N., et al., “Transvenous Parasympathetic Cardiac Nerve Stimulation: An Approach for Stable Sinus Rate Control,” Journal of Cardiovascular Electrophysiology, vol. 10 (11), Nov. 1999, pp. 1517-1524.
Scheinman R.I., et al., “Role of Transcriptional Activation of IκBα in Mediation of Immunosuppression by Glucocorticoids,” Science, vol. 270, Oct. 13, 1995, pp. 283-286.
Sher, M.E., et al., “The Influence of Cigarette Smoking on Cytokine Levels in Patients with Inflammatory Bowel Disease,” Inflammatory Bowel Diseases, vol. 5 (2), May 1999, pp. 73-78.
Steinlein, O., “New Functions for Nicotinic Acetylcholine Receptors?,” Behavioural Brain Research, vol. 95, 1998, pp. 31-35.
Sternberg E.M., (Series Editor) “Neural-Immune Interactions in Health and Disease,” The Journal of Clinical Investigation, vol. 100 (11), Dec. 1997, pp. 2641-2647.
Sykes., A.P., et al., “An Investigation into the Effect and Mechanisms of Action of Nicotine in Inflammatory Bowel Disease,” Inflammation Research, vol. 49, 2000, pp. 311-319.
Toyabe S., et al., “Identification of Nicotinic Acetylcholine Receptors on Lymphocytes in the Periphery as well as Thymus in Mice,” Immunology, vol. 92, 1997, pp. 201-205.
Van Dijk A.P.M., et al., “Transdermal Nicotine Inhibits Interleukin 2 Synthesis by Mononuclear Cells Derived from Healthy Volunteers,” European Journal of Clinical Investigation, vol. 28, 1998, pp. 664-671.
Wanner, A. et al., “Trasvenous Phrenic Nerve Stimulation in Anesthetized Dogs,” Journal of Applied Physiology, 1973, vol. 34 (4), pp. 489-494.
Watkins L.R., et al., “Blockade of Interleukin-1 Induced Hyperthermia by Subdiaphragmatic Vagotomy: Evidence for Vagal Mediation of Immune-Brain Communication,” Neuroscience Letters, vol. 183, 1995, pp. 27-31.
Watkins L.R., et al., “Implications of Immune-to-Brain Communication for Sickness and Pain,” PNAS (Proceedings of the National Academy of Sciences of the USA), vol. 96 (14), Jul. 6, 1999, pp. 7710-7713.
Whaley K., et al., “C2 Synthesis by Human Monocytes is Modulated by a Nicotinic Cholinergic Receptor,” Nature, vol. 293, Oct. 15, 1981, pp. 580-582 (and reference page).
PCT Search Report dated Oct. 26, 2018 for PCT Application No. PCT/IB2018/000603, 7 pages.
PCT Search Report and Written Opinion dated Oct. 17, 2018 for PCT Application No. PCT/US2018/043661, 13 pages.
Non-Final Office Action in U.S. Appl. No. 16/906,154, dated Jul. 16, 2020 (49 pages).
Related Publications (1)
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20200147364 A1 May 2020 US
Provisional Applications (1)
Number Date Country
62757576 Nov 2018 US