Implantable neural stimulator with mode switching

Information

  • Patent Grant
  • 11890476
  • Patent Number
    11,890,476
  • Date Filed
    Wednesday, June 8, 2022
    a year ago
  • Date Issued
    Tuesday, February 6, 2024
    2 months ago
Abstract
Various aspects of the present subject matter relate to an implantable device. Various device embodiments comprise at least one port to connect to at least one lead with at least electrode, stimulation circuitry connected to the at least one port and adapted to provide at least one neural stimulation therapy to at least one neural stimulation target using the at least one electrode, sensing circuitry connected to the at least one port and adapted to provide a sensed signal, and a controller connected to the stimulation circuitry to provide the at least one neural stimulation therapy and to the sensing circuitry to receive the sensed signal. In response to a triggering event, the controller is adapted to switch between at least two modes. Other aspects and embodiments are provided herein.
Description
TECHNICAL FIELD

This application relates generally to medical devices and, more particularly, to implantable devices capable of providing neural stimulation.


BACKGROUND

Neural stimulation has been the subject of a number of studies and has been proposed for several therapies. Direct electrical stimulation of parasympathetic nerves can activate the baroreflex, inducing a reduction of sympathetic nerve activity and reducing blood pressure by decreasing vascular resistance. Sympathetic inhibition, as well as parasympathetic activation, have been associated with reduced arrhythmia vulnerability following a myocardial infarction, presumably by increasing collateral perfusion of the acutely ischemic myocardium and decreasing myocardial damage. Modulation of the sympathetic and parasympathetic nervous system with neural stimulation has been shown to have positive clinical benefits, such as protecting the myocardium from further remodeling and predisposition to fatal arrhythmias following a myocardial infarction.


SUMMARY

Various aspects of the present subject matter relate to an implantable device. Various device embodiments comprise at least one port to connect to at least one lead with at least electrode, stimulation circuitry, sensing circuitry and a controller. The stimulation circuitry is connected to the at least one port and adapted to provide at least one neural stimulation therapy to at least one neural stimulation target using the at least one electrode. The sensing circuitry is connected to the at least one port and adapted to provide a sensed signal. The controller is connected to the stimulation circuitry to provide the at least one neural stimulation therapy and to the sensing circuitry. In response to a triggering event, the controller is adapted to switch between at least two modes.


In response to a triggering event, the controller of various device embodiments is adapted to switch between at least two modes selected from the group consisting of a stimulation and sensing mode, a stimulation mode, and a sensing mode. In the stimulation and sensing mode, the neural stimulation therapy is provided using a sensed signal. In the stimulation mode, the neural stimulation therapy is provided without using the sensed signal. In the sensing mode, the neural stimulation therapy is not provided to the neural stimulation target.


In response to a triggering event, the controller of various device embodiments is adapted to switch between at least two modes to switch neural stimulation targets. In response to a triggering event, the controller of various device embodiments is adapted to switch between at least two modes to switch sensing sites from which to provide the sensed signal, to switch sensed parameters used to provide the sensed signal, or to switch both sensing sites and sensed parameters.


Various system embodiments comprise at least one port to connect to at least one lead with at least electrode, at least one stimulation circuit connected to the at least one port and adapted to provide at least one neural stimulation therapy to at least one neural stimulation target and to provide a cardiac rhythm management (CRM) therapy using the at least one electrode, at least one sensing circuit connected to the at least one port and adapted to provide a sensed signal, and a controller connected to the at least one stimulation circuit to provide the at least one neural stimulation therapy and the CRM therapy and to the sensing circuitry. In response to a triggering event the controller is adapted to switch between at least two modes selected from the group consisting of a neural stimulation therapy mode, a CRM therapy mode, and a neural stimulation and CRM therapy mode. In the neural stimulation therapy mode, the neural stimulation therapy is provided to the neural target. In the CRM therapy mode, the CRM therapy is provided. In the neural stimulation and CRM therapy mode, the neural stimulation therapy is provided to the neural stimulation target and the CRM therapy is provided.


In various device embodiments, the controller is adapted to operate the device in at least two modes and to switch modes in response to a triggering event. The at least two modes are provided in at least one set of modes selected from the group consisting of a set of operation modes, a set of stimulation site modes and a set of feedback modes. In some embodiments, the group further consists of a set of therapy modes such that the device is able to switch between or among two or more therapy modes. Examples of operation modes includes a mode to provide neural stimulation and sensing, a mode to provide neural stimulation without sensing, and a mode to provide sensing without neural stimulation. Examples of stimulation site modes includes a mode to provide neural stimulation to a first neural stimulation site(s) or target(s) and a mode to provide neural stimulation to a second neural stimulation site(s) or target(s). Examples of feedback modes includes a mode to sense from a first site and a mode to sense from a second site, and also includes a mode to sense a first parameter and a mode to sense a second parameter. Examples of therapy modes include neural stimulation therapy, CRM therapy, drug therapy, and combinations thereof.


This Summary is an overview of some of the teachings of the present application and not intended to be an exclusive or exhaustive treatment of the present subject matter. Further details about the present subject matter are found in the detailed description and appended claims. Other aspects will be apparent to persons skilled in the art upon reading and understanding the following detailed description and viewing the drawings that form a part thereof, each of which are not to be taken in a limiting sense. The scope of the present invention is defined by the appended claims and their equivalents.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 illustrates an embodiment of a system with an implantable medical device (IMD).



FIG. 2 illustrates an embodiment of an implantable neural stimulator (NS) device such as can be incorporated as the IMD in the system of FIG. 1.



FIG. 3 illustrates a system diagram of an implantable medical device embodiment configured for multi-site stimulation and sensing.



FIG. 4 illustrates an embodiment of an implantable medical device (IMD) such as shown in FIG. 1 having a neural stimulation (NS) component and cardiac rhythm management (CRM) component.



FIG. 5 illustrates a system including a patient-actuated external device, a magnet, an implantable neural stimulator (NS) device and an implantable cardiac rhythm management (CRM) device, according to various embodiments of the present subject matter.



FIG. 6 illustrates an embodiment of CRM device, such as can be used in the system of FIG. 5.



FIG. 7 illustrates an implantable medical device (MID) such as shown in FIG. 1 having a neural stimulation (NS) component, a cardiac rhythm management (CRM) component, and a drug delivery component, according to various embodiments of the present subject matter.



FIG. 8 illustrates one embodiment of a drug delivery microchip for use in one embodiment of a drug-eluting intravascular device.



FIG. 9 illustrates one embodiment of a drug delivery microchip capable of delivering different drugs and different dosages of the drugs.



FIG. 10 illustrates a patient-actuated programmer, such as the external patient-actuated device illustrated in the system of FIG. 1, or other external device to communicate with the implantable medical device(s), according to various embodiments of the present subject matter.



FIG. 11 illustrates an embodiment of a responsive relationship of an IMD controller to a triggering event.



FIG. 12 illustrates an embodiment of a controller capable of switching modes within a set of operation modes, a set of stimulation site modes, and a set of feedback modes.



FIG. 13 illustrates an embodiment of a controller capable of switching modes within a set of operation modes, a set of stimulation site modes, a set of feedback modes, and a set of therapy modes.





DETAILED DESCRIPTION

The following detailed description of the present subject matter refers to the accompanying drawings which show, by way of illustration, specific aspects and embodiments in which the present subject matter may be practiced. These embodiments are described in sufficient detail to enable those skilled in the art to practice the present subject matter. Other embodiments may be utilized and structural, logical, and electrical changes may be made without departing from the scope of the present subject matter. References to “an”, “one”, or “various” embodiments in this disclosure are not necessarily to the same embodiment, and such references contemplate more than one embodiment. The following detailed description is, therefore, not to be taken in a limiting sense, and the scope is defined only by the appended claims, along with the full scope of legal equivalents to which such claims are entitled.


The present subject matter relates to an implantable device that provides neural stimulation. In various embodiments, the device also provides neural sensing. In addition to neural stimulation therapy, various device embodiments are adapted to provide cardiac rhythm management (CRM) therapy such as pacing, defibrillation, cardiac resynchronization therapy (CRT) or a combination of pacing, defibrillation and CRT. In addition to neural stimulation therapy, various device embodiments are adapted to provide drug therapy. Some embodiments are adapted to provide various combinations of neural stimulation therapy, CRM therapy and drug therapy. Some therapeutic mode switches include switching among CRM therapies to treat various conditions such as atrial fibrillation, bradycardia and ventricular tachycardia.


The device operates using at least two modes, and has the capability to switch between different modes in response to a triggering event. A variety of mode types are capable of being switched. Some embodiments change modes within a set of operation modes. For example, the device detects the presence of an unacceptably high level of electrical interference, and switches to a “stimulate only” mode in which neural sensing is disabled, or to a “sense only” mode in which neural stimulation is disabled. Some embodiments change modes to change the site or sites of neural stimulation. For example, the device reverts to an alternate lead or electrode in response to a detected electrode failure. Some embodiments change modes within a set of feedback modes to change sensing sites and/or sensed parameters. Some embodiments are adapted to switch between or among various combinations of neural stimulation therapy, CRM therapy, and drug therapy.


The triggering event to switch modes can be automatic or patient-actuated. Examples of patient-actuated triggers include a magnet placed proximate to the implantable device and an external controller unit. For example, some device embodiments switch to a “sense only” mode in response to an external magnet, providing an emergency shut-off mechanism. Some device embodiments toggle between two or among three or more different modes of operation in response to an external magnet, Some device embodiments allow the user (e.g. patient) to select the mode of operation with an external controller unit. An example of an automatic triggering event includes detected noise, where the device detects the presence of an unacceptably high level of electrical interference, and switches to a “stimulate only” mode in which neural sensing is disabled, or to a “sense only” mode in which neural stimulation is disabled.



FIG. 1 illustrates an embodiment of a system 100 with an implantable medical device (IMD) 101. The IMD is adapted to switch modes in response to a triggering event. According to various embodiments, the triggering event is an automatic event, a patient-actuated event, or a combination of an automatic and patient-actuated events. Examples of automatic triggering events include a detected device change such as a detected electrode failure, an End Of Life (EOL) determination for a battery to power the device, a detected lead failure, an environmental change like a detected electrical interference that is capable of interfering with the sensed signal or the application of another therapy capable of interfering with the sensed signal. Automatic triggering events can also include a detected physiologic change such as a detected change in heart rate, a detected arrhythmia, a detected change in a respiratory rate, a detected change in neural traffic, a detected change in blood pressure, and a detected change in activity. Automatic triggering events can also be based on a timer or clock, such as a device with a controller and timer adapted to follow a circadian rhythm when switching modes. Examples of patient-actuated triggers include an external magnet 102 used to actuate a switch (e.g. reed switch) in the implantable device to switch modes, and a patient-actuated external programmer 103 that enables the patient to selectively choose the mode to which the device should switch.



FIG. 1 also illustrates the IMD 101 communicating with an external device 103 such as a patient-actuated device capable of being used to change modes in the IMD 101. A programmer, capable of providing all programming functions, including mode switching, can also be used to communicate with the IM D. The patient-actuated device can be a stand-alone device designed to only provide the desired mode switching capabilities, or can be integrated into other devices. An example of a patient-actuated device includes a personal digital assistant or other electronic device such as would be used in an advanced patient management (APM) system, which can organize and perform calculations based on recorded data, and later provide the data to a programmer.



FIG. 2 illustrates an embodiment of an implantable neural stimulator (NS) device 201 such as can be incorporated as the IMD 101 in the system 100 of FIG. 1. The illustrated neural stimulator 201 includes controller circuitry 204 connected to a memory 205, a sensor 206, neural stimulation circuitry 207, and a transceiver 208. An electrode 209 is connected to the stimulator circuitry 207 via a port 209A. The memory includes instructions or algorithms operated on by the controller and further includes parameters for use in the algorithms to provide the desired neural stimulation therapy. These instructions and parameters cooperate to operate the device in a mode. The device can be operated in different modes by operating on different instructions and/or parameters. Some embodiments use the sensor, such as a neural sensor or other physiologic sensor like a heart rate sensor, to provide feedback for the neural stimulation. The stimulator circuitry is adapted to adjust parameters of the neural stimulation signal transmitted to the electrode. According to various embodiments, one or more of the amplitude, the frequency, the morphology and the burst timing (frequency and duration of bursts) are capable of being adjusted. A magnetic-actuated switch 210, such as a reed switch, is connected to the controller for use to receive a user-provided trigger (e.g. flux from the external magnet) to switch modes. Modes can be switched via communications received through the transceiver 208 from the external device or can be automatically switched, such as if mode changes are based on a clock or other feedback. Historical data for mode switching events can be saved in memory 205. The external device can access the memory to display the data regarding the switching events, or can otherwise process the data for a variety of purposes.



FIG. 3 illustrates a system diagram of an implantable medical device embodiment configured for multi-site stimulation and sensing. This diagram provides another example of an IMD 301 capable of performing a number of neural stimulation and CRM therapies. Pacing, as used in the discussion of this figure, relates to electrical stimulation. In various embodiments, the stimulation for a given channel includes stimulation to capture myocardia, neural stimulation or both pacing and neural stimulation. Three examples of sensing and pacing channels are designated “A” through “C”, and such channel can be used to stimulate a right atrium, a right ventricle and a left ventricle, for example. The illustrated channels comprise bipolar leads with ring electrodes 311A-C and tip electrodes 312A-C, sensing amplifiers 313A-C, pulse generators 314A-C, and channel interfaces 315A-C. Each of these channels includes a stimulation channel extending between the pulse generator the electrode and a sensing channel extending between the sense amplifier and the electrode. The channel interfaces 315A-C communicate bidirectionally with microprocessor 316, and each interface may include analog-to-digital converters for digitizing sensing signal inputs from the sensing amplifiers and registers that can be written to by the microprocessor in order to output pacing pulses, change the pacing pulse amplitude, and adjust the gain and threshold values for the sensing amplifiers. The sensing circuitry 313A-C detects a chamber sense, either an atrial sense or ventricular sense, when an electrogram signal (i.e., a voltage sensed by an electrode representing cardiac electrical activity) generated by a particular channel exceeds a specified detection threshold. Algorithms, including a number of adjustable parameters, used in particular modes can employ such senses to trigger or inhibit stimulation, and the intrinsic atrial and/or ventricular rates can be detected by measuring the time intervals between atrial and ventricular senses, respectively.


The switching network 317 is used to switch the electrodes to the input of a sense amplifier in order to detect intrinsic cardiac activity and to the output of a pulse generator in order to deliver stimulation. The switching network also enables the device to sense or stimulate either in a bipolar mode using both the ring and tip electrodes of a lead or in a unipolar mode using only one of the electrodes of the lead with the device housing or can 318 serving as a ground electrode or another electrode on another lead serving as the ground electrode. A shock pulse generator 319 is also interfaced to the controller for delivering a defibrillation shock via a pair of shock electrodes 320 to the atria or ventricles upon detection of a shockable tachyarrhythmia, Channel interface 321 and neural stimulation pulse generator 322 provide a connection between the microprocessor and the switch to deliver neural stimulation using the neural stimulation electrode 323, Channel interface 324 and sense amplifier 325 provide a connection between the microprocessor and the switch to receive a sensed signal from a sensor 326 for use to provide feedback for therapies such as a neural stimulation therapy.


The controller or microprocessor controls the overall operation of the device in accordance with programmed instructions and a number of adjustable parameters stored in memory 327, including controlling the delivery of stimulation via the channels, interpreting sense signals received from the sensing channels, and implementing timers for defining escape intervals and sensory refractory periods. The controller is capable of operating the device in a number of programmed stimulation modes which define how pulses are output in response to sensed events and expiration of time intervals. Most pacemakers for treating bradycardia are programmed to operate synchronously in a so-called demand mode where sensed cardiac events occurring within a defined interval either trigger or inhibit a pacing pulse. Inhibited stimulation triodes utilize escape intervals to control pacing in accordance with sensed intrinsic activity such that a stimulation pulse is delivered to a heart chamber during a cardiac cycle only after expiration of a defined escape interval during which no intrinsic beat by the chamber is detected. Escape intervals for ventricular stimulation can be restarted by ventricular or atrial events, the latter allowing the pacing to track intrinsic atrial beats. A telemetry interface 328 is also provided which enables the controller to communicate with an external programmer or remote monitor.



FIG. 4 illustrates an embodiment of an implantable medical device (IMD) 401 such as shown at 101 in FIG. 1 having a neural stimulation (NS) component 429 and cardiac rhythm management (CRM) component 430. The illustrated device 401 includes a controller 416 and a memory 427. According to various embodiments, the controller includes hardware, software, or a combination of hardware and software to perform the neural stimulation and CRM functions. For example, the programmed therapy applications, including various mode in which the device can operate, discussed in this disclosure are capable of being stored as computer-readable instructions embodied in memory and executed by a processor. According to various embodiments, the controller includes a processor to execute instructions embedded in memory to perform the neural stimulation and CRM functions. The illustrated device 401 further includes a transceiver 428 and associated circuitry for use to communicate with a programmer or another external or internal device. Various embodiments include a telemetry coil.


The CRM therapy section 430 includes components, under the control of the controller, to stimulate a heart and/or sense cardiac signals using one or more electrodes. The CRM therapy section includes a pulse generator 431 for use to provide an electrical signal through an electrode to stimulate a heart, and further includes sense circuitry 432 to detect and process sensed cardiac signals. An interface 433 is generally illustrated for use to communicate between the controller 416 and the pulse generator 431 and sense circuitry 432. Three electrodes are illustrated as an example for use to provide CRM therapy. Ports in the device provides signal channels from the device to the electrodes. The present subject matter is not limited to a particular number of electrode sites. Each electrode may include its own pulse generator and sense circuitry. However, the present subject matter is not so limited. The pulse generating and sensing functions can be multiplexed to function with multiple electrodes.


The NS therapy section 429 includes components, under the control of the controller, to stimulate a neural stimulation target and/or sense autonomic nervous system (ANS) parameters associated with nerve activity or surrogates of ANS parameters such as blood pressure and respiration. Three interfaces 434 are illustrated for use to provide ANS therapy. However, the present subject matter is not limited to a particular number interfaces, or to any particular stimulating or sensing functions. Pulse generators 435 are used to provide electrical pulses through a port to an electrode for use to stimulate a neural stimulation site. According to various embodiments, the pulse generator includes circuitry to set, and in some embodiments change, the amplitude of the stimulation pulse, the frequency of the stimulation pulse, the burst frequency of the pulse, and the morphology of the pulse such as a square wave, triangle wave, sinusoidal wave, and waves with desired harmonic components to mimic white noise or other signals. Sense circuits 436 are used to detect and process signals from a sensor, such as a sensor of nerve activity, blood pressure, respiration, and the like. The interfaces 434 are generally illustrated for use to communicate between the controller 416 and the pulse generator 435 and sense circuitry 436. Each interface, for example, may be used to control a separate lead. Various embodiments of the NS therapy section only include a pulse generator to stimulate a neural stimulation target.


According to various embodiments, the lead(s) and the electrode(s) on the leads are physically arranged with respect to the heart in a fashion that enables the electrodes to properly transmit pulses and sense signals from the heart, and with respect to neural targets to stimulate, and in some embodiments sense neural traffic from, the neural targets. Examples of neural targets include both efferent and afferent pathways, such as baroreceptors, nerve trunks and branches such as the vagus nerve, and cardiac fat pads, to provide a desired neural stimulation therapy. As there may be a number of leads and a number of electrodes per lead, the configuration can be programmed to use a particular electrode or electrodes.


The leads of the device include one or more leads to provide CRM therapy, such as atrial pacing, right and/or left ventricular pacing, and/or defibrillation. The device also contains at least one neural stimulation lead which is placed in an appropriate location. Some embodiments perform neural stimulation and CRM therapy using the same lead. Examples of neural stimulation leads include: an expandable stimulation lead placed in the pulmonary artery in proximity of a high concentration of baroreceptors; an intravascularly-fed lead placed proximate to a cardiac fat pad to transvascularly stimulate the fat pad; an epicardial lead with an electrode placed in or proximate to the fat pad; a cuff electrode placed around the aortic, carotid, or vagus nerve; and an intravascularly-fed lead placed to transvascularly stimulate the aortic, carotid or vagus nerve. Other lead placements to stimulate other neural targets may be used.


The controller controls delivery of the electrical pulses, and is adapted to operate the device in a number of different modes. For example various embodiments switch between modes selected from the group consisting of a set of operation modes, a set of stimulation site modes and a set of feedback modes. In some embodiments, the group further consists of a set of therapy modes such that the device is able to switch between or among two or more therapy modes. Examples of operation modes includes a mode to provide neural stimulation and sensing, a mode to provide neural stimulation without sensing, and a mode to provide sensing without neural stimulation. Examples of stimulation site modes includes a mode to provide neural stimulation to a first neural stimulation site(s) or target(s) and a mode to provide neural stimulation to a second neural stimulation site(s) or target(s). Examples of feedback modes includes a mode to sense from a first site and a mode to sense from a second site, and also includes a mode to sense a first parameter and a mode to sense a second parameter. Examples of therapy modes include neural stimulation therapy. CRM therapy, drug therapy, and combinations thereof. In addition, various embodiments are also able to switch between various CRM therapy modes, such as atrial pacing (AGO, AAI), ventricular pacing (VVI, VOO), and or dual chamber pacing (DDI, DDD, VDD), for example. Additionally, changing modes includes changing parameters for a particular pacing mode, such as base rate, upper rate, AV interval, ventricular refractory and ventricular blanking in a DDD pacing mode.


The illustrated device 401 in FIG. 4 includes a switch 437, such as a reed switch, adapted to be actuated by magnetic flux from an external magnet positioned proximate to the device 401. The controller and switch are adapted to switch modes when magnetic flux actuates the switch. In various embodiments, a patient actuated programmer communicates with the controller through the transceiver to change modes. In various embodiments, the controller automatically changes the modes using, for example, a feedback signal or a timer. Historical data for mode switching events can be saved in memory 427. The external device can access the memory to display the data regarding the switching events, or can otherwise process the data for a variety of purposes.



FIG. 5 illustrates a system 538 including a patient-actuated external device 539, a magnet 540, an implantable neural stimulator (NS) device 541 and an implantable cardiac rhythm management (CRM) device 542, according to various embodiments of the present subject matter. Various aspects involve a method for communicating between an NS device and a CRM device or other cardiac stimulator. This communication allows one of the devices 541 or 542 to deliver more appropriate therapy (i.e. more appropriate NS therapy or CRM therapy) based on data and/or communication signals received from the other device. Some embodiments provide on-demand communications. The illustrated NS device and the CRM device are capable of wirelessly communicating with each other, and the programmer is capable of wirelessly communicating with at least one of the NS and the CRM devices. For example, various embodiments use telemetry coils to wirelessly communicate data and instructions to each other. In other embodiments, communication of data and/or energy is by ultrasonic means. In some embodiments, a lead provides a hardwired communication path between the two devices.



FIG. 6 illustrates an embodiment of CRM device 642, such as can be used at 542 in the system of FIG. 5. The illustrated device 642 includes a controller 643 connected to a memory 644. The figure further illustrates electrodes 645A and 645B connected to the device. According to the illustration, the electrodes 645A and 645B are connected to sense modules 646A and 646B to sense electrical signal at the electrode, and pulse generators 647A and 647B to generate stimulation signals to the electrodes. The controller 643 is connected to the sense modules 646A and 646B and the pulse generator modules 647A and 647B via interfaces 648A and 648B.


The memory includes data and instructions. The controller is adapted to access and operate the instructions to perform various functions within the device, including programmed. CRM therapies. The memory 644 includes a plurality of parameters that are used to control the delivery of the therapy using a number of modes. A transceiver 649 is connected to the controller 643, The CRM device is capable of wireless communicating with an external device, for example, using the transceiver 649. For example, various embodiments use telemetry coils to wirelessly communicate data and instructions. In other embodiments, communication of data and/or energy is by ultrasonic means.



FIG. 7 illustrates an implantable medical device (IMD) 701 such as shown at 101 in FIG. 1 having a neural stimulation (NS) component 734, a cardiac rhythm management (CRM) component 735, and a drug delivery component 750, according to various embodiments of the present subject matter. Examples of a NS component 734 and a CRM component 735 are illustrated in FIG. 4 at 429 and 430, respectively. The illustrated IMD 701 further includes a controller 716 connected to the therapy components 734, 735 and 750 to control the delivery of the therapies, and also includes a memory 732 to store instructions and data, a transceiver 733, and a magnetic-actuated switch, such as a reed switch 737. The drug delivery component 750 includes an interface 751 to provide an operable connection between the controller 716 and a chronically-implanted drug delivery device 752.


The device is capable of operating in different modes, and switching between or among two or more modes in response to a triggering event. The triggering event can be automatic. Examples of automatic triggering event include a timer or feedback signals from various sensors. The triggering event can be patient-actuated. One example of a patient-actuated triggering event includes a magnet positioned proximate to the reed switch 737 to toggle the device between or among the different modes. Another example of a patient-actuated triggering event includes a patient-actuated programmer that wirelessly communicates with the device through the transceiver 733 to change modes of operation. In various embodiments, the IMD 701 is adapted to respond to a triggering event by changing therapy modes among a neural stimulation therapy, a CRM therapy, a drug therapy, and various combinations thereof.


One embodiment of the drug delivery device carries the drug between a substructure and an electro-erodible overcoat layer; and another embodiment of the device carries the drug using a drug delivery “chip” that is separately prepared and subsequently attached to the device. The drug is released from the drug delivery chip through an electro-erodible release mechanism. Progressive drug release is provided by wells or regions that are selectively opened by explicitly addressing a given well or region, or by a more generalized progressive erosion of a tapered thickness electro-erodible overcoat layer. The erosion process can be open-loop where a well understood time-erosion behavior is known, or can be closed-loop where the erosion progress is monitored using the known relationship among current, voltage and erosion profile. Either process provides control of the eroded capping layer and consequent drug release.


One embodiment of the drug release chip includes an array of well-like structures constructed so as to laterally isolate one well from another well so that one well is able to be selectively exposed using an electro-erodible process, for example, to deliver a specific drug type and drug dose. An electrically insulating layer covers the well(s) and the surrounding regions. One or more drugs are contained within the well(s). A cap layer of electro-erodible material covers the well(s). The electro-erodible material is non-toxic to the host biosystem both before and after electro erosion. One example of an electro-erodible material is gold. The connections and cap layer can be patterned to allow individual well caps to be selected for electro-erosion using addressing logic. An electrically insulating, passivation covering insulates all interconnections except the intended electro-erosion region over and perhaps immediately around the drug release well. Alternatively, one or more thickness-graded capping layer(s) are selectively and progressively electro-eroded resulting in controlled progressive exposure of wells in the thinner capped region first. In various embodiments, a current, for a voltage-activated electro-erosion process, or a developed potential, for a current-activated electro-erosion process, are monitored to control the electro-erosion process.



FIG. 8 illustrates one embodiment of a drug delivery microchip 852 for use in one embodiment of a drug-eluting intravascular device. According to this embodiment, a silicon substrate 853 is formed with voids, wells or micro-reservoirs 854. These micro-reservoirs 854 have a sufficient size, are appropriately lined and are otherwise adapted to store an active substance (e.g. drug) to be released into a biosystem. A coating 855 is formed over the silicon substrate. Electro-erodible caps 856 are formed in the coating over the wells such that, upon being eroded, an opening is formed between the well and the surrounding biosystem. At least one cathode 857 and least one anode 858 are formed in coating 855. According to one embodiment, the at least one anode forms the electro erodible cap 856, Wiring 859 is used to control, or address, the anode to be electro eroded.



FIG. 9 illustrates one embodiment of a drug delivery microchip 952 capable of delivering different drugs and different dosages of the drugs. The wells within the microchip are addressable; that is, addressable control lines are used to select the wells Or well-combinations whose caps 956 are to be electro eroded to elute the active substance contained therein. In the illustrated electrode configuration, there are five sets of one well, five sets of five wells and two sets of two wells. The different sized sets provide different delivery dosages. Alternatively, the physical size of the wells themself are used to control the delivery dosage. Additionally, different drug types are able to be stored in the different sets of wells, such that a desired drug among several is able to be dispensed upon the detection of a particular event.



FIG. 10 illustrates a patient-actuated programmer 1003, such as the external patient-actuated device 103 illustrated in the system of FIG. 1, or other external device to communicate with the implantable medical device(s), according to various embodiments of the present subject matter. An example of an external device includes Personal Digital Assistants (PDAs) or personal laptop and desktop computers in an Advanced Patient Management (APM) system. The illustrated device includes controller circuitry 1060 and a memory 1061. The controller circuitry is capable of being implemented using hardware, software, and combinations of hardware and software. For example, according to various embodiments, the controller circuitry includes a processor to perform instructions embedded in the memory to perform a number of functions, including communicating data and/or programming instructions to the implantable devices. According to some embodiments, such instructions include instructions for the device to change modes. The illustrated device 1003 further includes a transceiver 1062 and associated circuitry for use to communicate with an implantable device. Various embodiments have wireless communication capabilities. For example, various embodiments of the transceiver and associated circuitry include a telemetry coil for use to wirelessly communicate with an implantable device. The illustrated device 1003 further includes a display 1063, input/output (I/O) devices 1064 such as a display, keyboard, mouse/pointer and/or touch screen, and a communications interface 1065 for use to communicate with other devices, such as over a communication network. The patient-actuated device is able to communicate a trigger command to the IMD to switch to another mode of operation. In an embodiment of the patient-actuated programmer, the instructions contained in memory and operated on by the controller are appropriate to provide a user-friendly interface, with appropriate logical security to prevent inappropriate mode changes, to allow the user to change or otherwise select the modes for the IMD.



FIG. 11 illustrates an embodiment of a responsive relationship of an IMD controller to a triggering event. The illustration includes a controller 1104 adapted to operate the IMD in a first mode 1166, a second mode 1167 and an Nth mode 1168. The illustration further includes a representation of a triggering event 1169, which can be an automatic event 1170 and/or a patient-actuated event 1171 such as a magnet moved proximate to a reed switch or a patient-actuated programmer. Examples of automatic triggering events include a detected device change such as a detected electrode failure, an End Of Life (EOL) determination for a battery to power the device, a detected lead failure, an environmental change like a detected electrical interference that is capable of interfering with the sensed signal or the application of another therapy capable of interfering with the sensed signal. Automatic triggering events can also include a detected physiologic change such as a detected change in heart rate, a detected arrhythmia, a detected change in a respiratory rate, a detected change in neural traffic, a detected change in blood pressure, and a detected change in activity. Automatic triggering events can also be based on a timer or clock, such as a device with a controller and timer adapted to follow a circadian rhythm when switching modes. The illustration also includes an enable signal 1172 connected to the controller to enable a mode of operation via a switch 1173. The triggering event is adapted to control the switch 1173 to selectively enable a mode of operation by the controller 1104. The illustrated responsive relationship can be performed in hardware, software, or a combination thereof.



FIG. 12 illustrates an embodiment of a controller 1204 capable of switching modes within a set of operation modes 1274, a set of stimulation site modes 1275, and a set of feedback modes 1276. With respect to the set of operation modes 1274, the illustrated controller 1204 is adapted to switch between or among two or more modes. An example of an application for switching modes within a set of operation modes 1274 includes switching between therapy and diagnostic modes in response to noise. Examples of modes within the set of operation modes 1274 includes a stimulation and sensing mode 1277 in which closed-loop neural stimulation is provided to neural target(s) based on sensed parameters, a stimulation mode 1278 in which open-loop neural stimulation is provided to neural target(s), and a sensing mode 1279 in which neural stimulation is not provided to neural target(s) but sensing processes continue. Examples of sensed parameters include, but are not limited to, blood pressure, heart rate, and nerve traffic.


With respect to the set of stimulation site modes 1275, the illustrated controller 1204 is adapted to switch between or among two or more stimulation site modes. Examples of applications for switching stimulation site modes 1275 includes switching between parasympathetic and sympathetic nerve stimulation to treat tachycardia-bradycardia syndrome, switching from afferent to efferent stimulation, and changing the dose of the neural stimulation therapy by changing the number of stimulation sites. For example, the illustrated controller is adapted to switch among a mode to stimulate a first stimulation site or sites 1280, a mode to stimulate a second stimulation site or sites 1281, and a mode to stimulate an Nth stimulation site or sites 1282.


With respect to the set of feedback modes 1276, the illustrated controller is adapted to switch among sensing site modes 1283 and to switch among sensed parameter and/or composite parameter modes 1284. Composite parameters are parameters based on two or more other parameters. Examples of applications for switching among sensing site modes 1283 includes recording parasympathetic or sympathetic traffic, recording afferent or efferent traffic, and switching from atrial to ventricular rhythm monitoring, Examples of applications for switching among sensed parameter/composite parameter modes 1284 include detecting short-term brief events such as an impulse burst versus a time-averaged long-term signal trend, and detecting impulse duration versus impulse magnitude. The illustrated controller is adapted to switch among a first site 1285, a second site 1286 and an Nth site 1287 from which to provide sensing for a feedback signal, and is also adapted to switch among a first sensed parameter 1288, a second sensed parameter 1289 and an Nth sensed parameter 1290. Thus, although the sensing site may not change, a different parameter can be detected.



FIG. 13 illustrates an embodiment of a controller 1304 capable of switching modes within a set of operation modes 1374, a set of stimulation site modes 1375, a set of feedback modes 1376, and a set of therapy modes 1391. Examples of modes 1374, 1375 and 1376 are provided in FIG. 12 at 1274, 1275 and 1276. With respect to the set of therapy modes 1391, the illustrated controller 1304 is adapted to switch between or among two or more modes. Examples of modes within the set of therapy modes includes a neural stimulation therapy mode 1392, a cardiac rhythm management and/or cardiac resynchronization therapy (CRM/CRT) mode 1393, a neural stimulation and CRM therapy mode 1394, a drug therapy mode 1395, a neural stimulation and drug therapy mode 1396, a CRM/CRT and drug therapy mode 1397, and a neural stimulation, CRM/CRT and drug therapy mode 1398. An example of a neural stimulation mode 1392 includes an anti-remodeling, vagal nerve stimulation therapy. An example of a CRM/CRT therapy 1393 includes a resynchronization therapy for a heart failure patient to improve the pumping function of the left ventricle. Examples of a neural stimulation and a CRM/CRT therapy 1394 include a vagal nerve stimulation therapy and anti-tachycardia pacing to terminate arrhythmia, and vagal nerve stimulation in anticipation of a defibrillation shock to reduce the defibrillation threshold. An example of a drug therapy mode 1395 includes an angiogenic growth factor release to treat ischemia, An example of a neural stimulation and a drug therapy mode 1396 includes vagal nerve stimulation and delivery of an angiogenic drug to promote cardiac muscle repair after a myocardial infarction. An example of a CRM/CRT and drug therapy includes pacing to unload a region of a heart damaged by a myocardial infarction such that the damaged heart, region works less and delivery of an angiogenic drug to promote cardiac muscle repair. An example of a neural stimulation, CRM/CRM and drug therapy 1398 includes vagal nerve stimulation, pacing to unload a region of a heart damaged by a myocardial infarction, and delivery of an angiogenic drug to prevent post myocardial infarction remodeling.


One of ordinary skill in the art will understand that, the modules and other circuitry shown and described herein can be implemented using software, hardware, and combinations of software and hardware. As such, the illustrated modules and circuitry are intended to encompass software implementations, hardware implementations, and software and hardware implementations.


The methods illustrated in this disclosure are not intended to be exclusive of other methods within the scope of the present subject matter. Those of ordinary skill in the art will understand, upon reading and comprehending this disclosure, other methods within the scope of the present subject matter. The above-identified embodiments, and portions of the illustrated embodiments, are not necessarily mutually exclusive. These embodiments, or portions thereof, can be combined. With reference to FIG. 5, for example, some embodiments use sensed activity, such as sensed neural activity, in a neural stimulation device to switch modes for a CRM device. The sensed data in the neural stimulation device can be used to alter the mode, rate, AV delay, VV delay, tachyarrhythmia parameters, and various combinations thereof. Some embodiments allow data sensed in a CRM device to mode switch a neural stimulation device.


In various embodiments, the methods provided above are implemented as a computer data signal embodied in a carrier wave or propagated signal, that represents a sequence of instructions which, when executed by a processor cause the processor to perform the respective method. In various embodiments, methods provided above are implemented as a set of instructions contained on a computer-accessible medium capable of directing a processor to perform the respective method. In various embodiments, the medium is a magnetic medium, an electronic medium, or an optical medium.


Although specific embodiments have been illustrated and described herein, it will be appreciated by those of ordinary skill in the art that any arrangement which is calculated to achieve the same purpose may be substituted for the specific embodiment shown. This application is intended to cover adaptations or variations of the present subject matter. It is to be understood that the above description is intended to be illustrative, and not restrictive. Combinations of the above embodiments as well as combinations of portions of the above embodiments in other embodiments will be apparent to those of skill in the art upon reviewing the above description. The scope of the present subject matter should be determined with reference to the appended claims, along with the full scope of equivalents to which such claims are entitled.

Claims
  • 1. An implantable system, comprising: at least one nerve traffic sensor configured to sense nerve traffic;memory including sets of programmed instructions stored therein to operate the implantable system to respond to a sensed triggering event by switching from a first sensing mode for nerve traffic sensing to a second sensing mode for nerve traffic sensing; anda controller connected to the memory and the at least one sensor, the controller configured to execute the programmed instructions in the memory to operate the implantable system to respond to the sensed triggering event using the sensed nerve traffic by switching from the first sensing mode to the second sensing mode,wherein the implantable system is configured to sense a first parameter in the first sensing mode and to sense a second parameter in the second sensing mode, wherein the first and the second parameters are different.
  • 2. The system of claim 1, wherein the sensed triggering event is determined using the sensed nerve traffic.
  • 3. The system of claim 1, wherein the implantable system is configured to sense a first composite physiologic parameter in the first sensing mode and to sense a second composite physiologic parameter in the second sensing mode.
  • 4. The system of claim 1, wherein the implantable system is configured to sense an impulse width of the sensed nerve traffic in one of the first or second sensing modes, and sense an impulse magnitude of the sensed nerve traffic in another of the first or second sensing modes.
  • 5. The system of claim 1, wherein the implantable system is configured to sense a burst of nerve traffic in one of the first or second sensing modes, and sense a trend of the nerve traffic in another of the first or second sensing modes.
  • 6. The system of claim 1, further comprising stimulation circuitry configured to use at least one electrode to provide at least one neural stimulation therapy to at least one neural stimulation target using the at least one electrode.
  • 7. The system of claim 1, wherein the system is configured to use the at least one nerve traffic sensor to sense at least one of: an impulse magnitude, an impulse width, a nerve traffic burst, or a nerve traffic trend.
  • 8. The system of claim 1, wherein the implantable system is configured to sense nerve traffic at a first sensing site in the first sensing mode, and sense nerve traffic at a second sensing site in the second sensing mode, wherein the first and second sensing sites are different.
  • 9. The system of claim 1, wherein the implantable system is configured to deliver a therapy when operating in a first sensing mode and not deliver the therapy when operating in the second sensing mode.
  • 10. The system of claim 9, wherein the therapy includes a neural stimulation therapy.
  • 11. The system of claim 9, wherein the therapy includes a drug therapy.
  • 12. The system of claim 1, wherein the sensed triggering event includes sensed activity, sensed blood pressure, sensed heart rate, or sensed respiration.
  • 13. A method implemented using an implantable system that includes at least one nerve traffic sensor, a memory, and a controller connected to the memory and the at least one sensor, the method including: sensing nerve traffic using the at least one nerve traffic sensor; andusing the controller to execute programmed instructions in the memory to operate the implantable system to respond to a sensed triggering event by switching from a first sensing mode for nerve traffic sensing to a second sensing mode for nerve traffic sensing, wherein a first parameter is sensed in the first sensing mode and a second parameter is sensed in the second sensing mode, wherein the first and the second parameters are different.
  • 14. The method of claim 13, wherein the sensed triggering event is determined using the sensed nerve traffic.
  • 15. The method of claim 13, wherein nerve traffic is sensed at a first sensing site in the first sensing mode and nerve traffic is sensed at a second sensing site in the second sending mode, wherein the first and second sensing sites are different.
  • 16. The method of claim 13, wherein the implantable system is configured to sense a first composite physiologic parameter in the first sensing mode and to sense a second composite physiologic parameter in the second sensing mode.
  • 17. A non-transitory machine-readable medium including instructions, which when executed by a machine, cause the machine to: sense nerve traffic using at least one nerve traffic sensor;provide at least a first sensing mode for nerve traffic sensing and a second sensing mode for nerve traffic sensing, andswitch the sensing modes in response to a sensed triggering event,wherein a first parameter is sensed in the first sensing mode and a second parameter is sensed in the second sensing mode, wherein the first and the second parameters are different.
  • 18. The non-transitory machine-readable medium of claim 17, wherein the sensed triggering event is determined using the sensed nerve traffic.
  • 19. The non-transitory machine-readable medium of claim 17, wherein the instructions, which when executed by a machine, cause the machine to sense nerve traffic at a first sensing site in the first sensing mode, and sense nerve traffic at a second sensing site in the second sensing mode, wherein the first and second sensing sites are different.
  • 20. The non-transitory machine-readable medium of claim 17, wherein the instructions, which when executed by a machine, cause the machine to deliver a therapy when operating in a first sensing mode and not deliver the therapy when operating in the second sensing mode, and wherein the therapy includes a neural stimulation therapy or a drug therapy.
CLAIM OF PRIORITY

This application is a continuation of U.S. application Ser. No. 16/597,620, filed Oct. 9, 2019, now issued as U.S. Pat. No. 11,369,794, which is a continuation of U.S. application Ser. No. 15/342,687, filed Nov. 3, 2016, now issued as U.S. Pat. No. 10,493,280, which continuation of U.S. application Ser. No. 14/318,785, filed Jun. 30, 2014, now issued as U.S. Pat. No. 9,486,631, which continuation of U.S. application Ser. No. 13/909,777, filed Jun. 4, 2013, now issued as U.S. Pat. No. 8,768,456, which is a division of U.S. application Ser. No. 11/137,038, filed May 25, 2005, now issued as U.S. Pat. No. 8,473,049, each of which is hereby incorporated by reference in its entirety.

US Referenced Citations (235)
Number Name Date Kind
3421511 Schwartz et al. Jan 1969 A
3650277 Sjostrand et al. Mar 1972 A
4146029 Ellinwood, Jr. Mar 1979 A
4201219 Bozal Gonzalez May 1980 A
4390020 Herpers Jun 1983 A
4592359 Galbraith Jun 1986 A
4699143 Dufresne Oct 1987 A
4763646 Lekholm Aug 1988 A
4960129 dePaola et al. Oct 1990 A
5111815 Mower May 1992 A
5199428 Obel et al. Apr 1993 A
5203326 Collins Apr 1993 A
5243980 Mehra Sep 1993 A
5318592 Schaldach Jun 1994 A
5330507 Schwartz Jul 1994 A
5334221 Bardy Aug 1994 A
5356425 Bardy et al. Oct 1994 A
5411531 Hill et al. May 1995 A
5437285 Verrier et al. Aug 1995 A
5507784 Hill et al. Apr 1996 A
5522854 Ideker et al. Jun 1996 A
5578061 Stroetmann et al. Nov 1996 A
5658318 Stroetmann et al. Aug 1997 A
5662689 Elsberry et al. Sep 1997 A
5690681 Geddes et al. Nov 1997 A
5700282 Zabara Dec 1997 A
5731848 Patel et al. Mar 1998 A
5792187 Adams Aug 1998 A
5817131 Elsberry et al. Oct 1998 A
5893881 Elsberry et al. Apr 1999 A
5916239 Geddes et al. Jun 1999 A
5928272 Adkins et al. Jul 1999 A
5974341 Er Oct 1999 A
6006134 Hill et al. Dec 1999 A
6058331 King May 2000 A
6073048 Kieval et al. Jun 2000 A
6134470 Hartlaub Oct 2000 A
6154675 Juran Nov 2000 A
6178349 Kieval Jan 2001 B1
6240314 Plicchi et al. May 2001 B1
6272377 Sweeney et al. Aug 2001 B1
6292695 Webster, Jr. et al. Sep 2001 B1
6330477 Casavant Dec 2001 B1
6341236 Osorio et al. Jan 2002 B1
6360122 Fischell Mar 2002 B1
6371922 Baumann et al. Apr 2002 B1
6381496 Meadows Apr 2002 B1
6400982 Sweeney et al. Jun 2002 B2
6415183 Scheiner et al. Jul 2002 B1
6421557 Meyer Jul 2002 B1
6449507 Hill et al. Sep 2002 B1
6463328 John Oct 2002 B1
6466822 Pless Oct 2002 B1
6473644 Terry, Jr. et al. Oct 2002 B1
6477418 Plicchi et al. Nov 2002 B2
6480743 Kirkpatrick Nov 2002 B1
6487450 Chen et al. Nov 2002 B1
6493585 Plicchi et al. Dec 2002 B2
6493586 Stahmann Dec 2002 B1
6511500 Rahme Jan 2003 B1
6522926 Kieval et al. Feb 2003 B1
6532388 Hill et al. Mar 2003 B1
6542774 Hill et al. Apr 2003 B2
6546288 Levine Apr 2003 B1
6564096 Mest May 2003 B2
6611713 Schauerte Aug 2003 B2
6622041 Terry, Jr. et al. Sep 2003 B2
6628987 Hill et al. Sep 2003 B1
6668191 Boveja Dec 2003 B1
6690974 Archer et al. Feb 2004 B2
6711442 Swerdlow et al. Mar 2004 B1
6751505 Van Den Honert et al. Jun 2004 B1
6819953 Yonce et al. Nov 2004 B2
6889079 Bocek et al. May 2005 B2
6928324 Park et al. Aug 2005 B2
6934583 Weinberg et al. Aug 2005 B2
6937896 Kroll Aug 2005 B1
7039466 Harrison et al. May 2006 B1
7089059 Pless Aug 2006 B1
7096064 Deno et al. Aug 2006 B2
7123961 Kroll et al. Oct 2006 B1
7123967 Weinberg Oct 2006 B2
7155278 King et al. Dec 2006 B2
7277761 Shelchuk Oct 2007 B2
7299086 McCabe et al. Nov 2007 B2
7414534 Kroll et al. Aug 2008 B1
7493161 Libbus et al. Feb 2009 B2
7542800 Libbus et al. Jun 2009 B2
7570999 Libbus et al. Aug 2009 B2
7574259 Pei Aug 2009 B1
7587238 Moffitt et al. Sep 2009 B2
7657312 Pastore Feb 2010 B2
7660628 Libbus et al. Feb 2010 B2
7769450 Libbus et al. Aug 2010 B2
7840271 Kieval et al. Nov 2010 B2
7873413 McCabe et al. Jan 2011 B2
8046069 Kramer et al. Oct 2011 B2
8131359 Libbus et al. Mar 2012 B2
8396560 Libbus Mar 2013 B2
8406876 McCabe et al. Mar 2013 B2
8473049 Libbus et al. Jun 2013 B2
8478397 Libbus et al. Jul 2013 B2
8504149 Libbus et al. Aug 2013 B2
8768456 Libbus et al. Jul 2014 B2
8805494 Libbus et al. Aug 2014 B2
9031650 McCabe et al. May 2015 B2
9211412 McCabe et al. Dec 2015 B2
9486631 Libbus et al. Nov 2016 B2
9504836 Libbus Nov 2016 B2
9962548 McCabe et al. May 2018 B2
10493280 Libbus et al. Dec 2019 B2
11369794 Libbus Jun 2022 B2
20010020136 Sweeney et al. Sep 2001 A1
20020016550 Sweeney et al. Feb 2002 A1
20020026221 Hill et al. Feb 2002 A1
20020026222 Schauerte et al. Feb 2002 A1
20020058877 Baumann et al. May 2002 A1
20020065473 Wang et al. May 2002 A1
20020072770 Pless Jun 2002 A1
20020077670 Archer et al. Jun 2002 A1
20020107553 Hill et al. Aug 2002 A1
20020120304 Mest Aug 2002 A1
20020123769 Panken et al. Sep 2002 A1
20020143369 Hill et al. Oct 2002 A1
20020165586 Hill et al. Nov 2002 A1
20020169485 Pless et al. Nov 2002 A1
20030004549 Hill et al. Jan 2003 A1
20030045909 Gross et al. Mar 2003 A1
20030060848 Kieval et al. Mar 2003 A1
20030060857 Perrson et al. Mar 2003 A1
20030060858 Kieval et al. Mar 2003 A1
20030074039 Puskas Apr 2003 A1
20030078623 Weinberg et al. Apr 2003 A1
20030078629 Chen Apr 2003 A1
20030100924 Foreman et al. May 2003 A1
20030144711 Pless Jul 2003 A1
20030149450 Mayberg Aug 2003 A1
20030153953 Park et al. Aug 2003 A1
20030153959 Thacker Aug 2003 A1
20030181951 Cates Sep 2003 A1
20030212440 Boveja Nov 2003 A1
20030212445 Weinberg Nov 2003 A1
20030229380 Adams et al. Dec 2003 A1
20040002635 Hargrove et al. Jan 2004 A1
20040024429 Daly Feb 2004 A1
20040049120 Cao et al. Mar 2004 A1
20040049235 Deno et al. Mar 2004 A1
20040082980 Mouine et al. Apr 2004 A1
20040088009 Degroot May 2004 A1
20040102820 Mouine et al. May 2004 A1
20040133248 Frei et al. Jul 2004 A1
20040138721 Osorio et al. Jul 2004 A1
20040138724 Sieracki et al. Jul 2004 A1
20040162594 King Aug 2004 A1
20040172074 Yoshihito Sep 2004 A1
20040172075 Shafer et al. Sep 2004 A1
20040193231 David et al. Sep 2004 A1
20040199210 Shelchuk Oct 2004 A1
20040210261 King et al. Oct 2004 A1
20040215289 Fukui Oct 2004 A1
20050010263 Schauerte Jan 2005 A1
20050010265 Baru Fassio Jan 2005 A1
20050027321 Ferek-Petric Feb 2005 A1
20050060001 Singhal et al. Mar 2005 A1
20050065553 Ben Ezra et al. Mar 2005 A1
20050075683 Miesel Apr 2005 A1
20050075690 Toy et al. Apr 2005 A1
20050096705 Pastore et al. May 2005 A1
20050107844 Van Den Honert et al. May 2005 A1
20050115561 Stahmann et al. Jun 2005 A1
20050143779 Libbus Jun 2005 A1
20050143785 Libbus Jun 2005 A1
20050148896 Siejko et al. Jul 2005 A1
20050149126 Libbus Jul 2005 A1
20050149127 Libbus Jul 2005 A1
20050149128 Heil,Jr. et al. Jul 2005 A1
20050149129 Libbus et al. Jul 2005 A1
20050149130 Libbus Jul 2005 A1
20050149131 Libbus et al. Jul 2005 A1
20050149132 Libbus Jul 2005 A1
20050149133 Libbus et al. Jul 2005 A1
20050149143 Libbus et al. Jul 2005 A1
20050149148 King Jul 2005 A1
20050149155 Scheiner et al. Jul 2005 A1
20050149156 Libbus et al. Jul 2005 A1
20050182389 LaPorte et al. Aug 2005 A1
20050197674 McCabe et al. Sep 2005 A1
20050251216 Hill et al. Nov 2005 A1
20050261741 Libbus et al. Nov 2005 A1
20050267542 David Dec 2005 A1
20060004417 Rossing et al. Jan 2006 A1
20060020297 Gerber Jan 2006 A1
20060052831 Fukui Mar 2006 A1
20060079945 Libbus Apr 2006 A1
20060095080 Libbus May 2006 A1
20060106429 Libbus et al. May 2006 A1
20060111632 Chen May 2006 A1
20060116737 Libbus Jun 2006 A1
20060122675 Libbus et al. Jun 2006 A1
20060167497 Armstrong et al. Jul 2006 A1
20060206153 Libbus et al. Sep 2006 A1
20060206154 Moffitt et al. Sep 2006 A1
20060206158 Wu et al. Sep 2006 A1
20060206159 Moffitt Sep 2006 A1
20060217772 Libbus et al. Sep 2006 A1
20060224188 Libbus et al. Oct 2006 A1
20060224202 Moffitt et al. Oct 2006 A1
20060229677 Moffitt et al. Oct 2006 A1
20060241699 Libbus et al. Oct 2006 A1
20060241725 Libbus Oct 2006 A1
20060259083 Libbus Nov 2006 A1
20060271118 Libbus et al. Nov 2006 A1
20070021799 Kieval et al. Jan 2007 A1
20070142864 Libbus et al. Jun 2007 A1
20070142871 Libbus et al. Jun 2007 A1
20080004663 Jorgenson Jan 2008 A1
20080015648 Libbus et al. Jan 2008 A1
20080021504 McCabe et al. Jan 2008 A1
20080167693 Kieval et al. Jul 2008 A1
20080200959 Libbus et al. Aug 2008 A1
20090018596 Kieval Jan 2009 A1
20090228060 Libbus et al. Sep 2009 A1
20100121399 McCabe et al. May 2010 A1
20110015704 Temes et al. Jan 2011 A1
20110106199 Mccabe et al. May 2011 A1
20110137360 Temes et al. Jun 2011 A1
20120150250 Libbus Jun 2012 A1
20130116578 An et al. May 2013 A1
20130197594 Mccabe et al. Aug 2013 A1
20130267893 Libbus et al. Oct 2013 A1
20140316487 Libbus et al. Oct 2014 A1
20150238766 Mccabe et al. Aug 2015 A1
20160082259 Mccabe et al. Mar 2016 A1
20170050026 Libbus et al. Feb 2017 A1
20200038662 Libbus et al. Feb 2020 A1
Foreign Referenced Citations (26)
Number Date Country
0547734 Jun 1993 EP
1421973 May 2004 EP
1426078 Jun 2004 EP
2005501617 Jan 2005 JP
5015915 Sep 2012 JP
WO-9216257 Oct 1992 WO
WO-03011388 Feb 2003 WO
WO-03018108 Mar 2003 WO
WO-03076008 Sep 2003 WO
WO-03099377 Dec 2003 WO
WO-20030099377 Dec 2003 WO
WO-2004084993 Oct 2004 WO
WO-04110549 Dec 2004 WO
WO-2005042091 May 2005 WO
WO-2006055436 May 2005 WO
WO-2005063332 Jul 2005 WO
WO-2005113066 Dec 2005 WO
WO-2006044025 Apr 2006 WO
WO-2006107675 Oct 2006 WO
WO-2006121929 Nov 2006 WO
WO-2006127248 Nov 2006 WO
WO-2007078410 Jul 2007 WO
WO-2008063396 May 2008 WO
WO-2008144354 Nov 2008 WO
WO-2011008749 Jan 2011 WO
WO-2011088222 Jul 2011 WO
Non-Patent Literature Citations (177)
Entry
“U.S. Appl. No. 11/137,038, Appeal Brief dated Jan. 18, 2010”, 35 pgs.
“U.S. Appl. No. 11/137,038 , Appeal Brief filed May 4, 2009”, 34 pgs.
“U.S. Appl. No. 11/137,038 , Appeal Brief filed Jan. 18, 2010”, 35 pgs.
“U.S. Appl. No. 11/137,038 , Preliminary Amendment filed Jun. 20, 2006”, 11 pgs.
“U.S. Appl. No. 11/137,038 , Response filed May 15, 2008 to Non Final Office Action dated Feb. 5, 2008”, 13 pgs.
“U.S. Appl. No. 11/137,038, Appeal Decision dated Dec. 11, 2012”, 23 pgs.
“U.S. Appl. No. 11/137,038, Decision on Pre-Appeal Brief Request dated Feb. 25, 2009”, 2 pgs.
“U.S. Appl. No. 11/137,038, Examiner's Answer dated Mar. 31, 2010”, 10 pgs.
“U.S. Appl. No. 11/137,038, Final Office Action dated Aug. 14, 2009”, 10 pgs.
“U.S. Appl. No. 11/137,038, Final Office Action dated Aug. 29, 2008”, FOAR, 10 pgs.
“U.S. Appl. No. 11/137,038, Non-Final Office Action dated Feb. 5, 2008”, OARN, 8 pgs.
“U.S. Appl. No. 11/137,038, Notice of Allowance dated Feb. 25, 2013”, 9 pgs.
“U.S. Appl. No. 11/137,038, Pre-Appeal Brief request for Review filed Jan. 29, 2009”, 5 pgs.
“U.S. Appl. No. 11/137,038, Response filed Dec. 13, 2007 to Restriction Requirement Nov. 15, 2007”, 12 pgs.
“U.S. Appl. No. 11/137,038, Restriction Requirement dated Nov. 15, 2007”, 8 pgs.
“U.S. Appl. No. 11/482,635, Preliminary Statement dated Oct. 31, 2006”, 2 pgs.
“U.S. Appl. No. 12/469,012, Non Final Office Action dated Sep. 18, 2012”, 9 pgs.
“U.S. Appl. No. 12/469,012, Response filed Sep. 4, 2012 to Restriction Requirement dated Aug. 2, 2012”, 8 pgs.
“U.S. Appl. No. 12/469,012, Restriction Requirement dated Aug. 2, 2012”, 8 pgs.
“U.S. Appl. No. 12/688,575 , Response filed Nov. 1, 2012 to Non Final Office Action dated Aug. 1, 2012”, 15 pgs.
“U.S. Appl. No. 12/688,575, Non Final Office Action dated Aug. 1, 2012”, 7 pgs.
“U.S. Appl. No. 12/688,575, Notice of Allowance dated Nov. 27, 2012”, 9 pgs.
“U.S. Appl. No. 12/688.575, Response to Restriction Requirement dated Mar. 30, 2012”, 14 pgs.
“U.S. Appl. No. 12/688,575, Restriction Requirement dated Mar. 30, 2012”, 26 pgs.
“U.S. Appl. No. 12/986,762, Notice of Allowance dated Jan. 12, 2015”, 8 pgs.
“U.S. Appl. No. 13/397,115, Notice of Publication dated Jun. 14, 2012”, 1 pg.
“U.S. Appl. No. 13/798,684, Advisory Action dated Jun. 10, 2015”, 3 pgs.
“U.S. Appl. No. 13/798,684, Final Office Action dated Apr. 3, 2015”, 10 pgs.
“U.S. Appl. No. 13/798,684, Non Final Office Action dated Sep. 19, 2014”, 7 pgs.
“U.S. Appl. No. 13/798,684, Notice of Allowance dated Aug. 10, 2015”, 7 pgs.
“U.S. Appl. No. 13/798,684, Response filed Jun. 3, 2015 to Final Office Action dated Apr. 3, 2015”, 12 pgs.
“U.S. Appl. No. 13/798,684. Response filed Jun. 25, 2014 to Restriction Requirement dated Apr. 25, 2014”, 7 pgs.
“U.S. Appl. No. 13/798,684, Response filed Dec. 18, 2014 to Non Final Office Action dated Sep. 19, 2014”, 10 pgs.
“U.S. Appl. No. 13/798,684, Restriction Requirement dated Apr. 25, 2014”, 7 pgs.
“U.S. Appl. No. 13/898,069, Advisory Action dated Aug. 10, 2015”, 4 pgs.
“U.S. Appl. No. 13/898,069, Final Office Action dated May 20, 2015”, 9 pgs.
“U.S. Appl. No. 13/898,069, Response filed Jan. 27, 2015 to Non Final Office Action dated Oct. 8, 2014”, 10 pgs.
“U.S. Appl. No. 13/898,069, Response filed Jul. 20, 2015 to Final Office Action dated May 2015”, 10 pgs.
“U.S. Appl. No. 13/909,777, Non Final Office Action dated Oct. 28, 2013”, 8 pgs.
“U.S. Appl. No. 13/909,777, Notice of Allowance dated Feb. 20, 2014”, 8 pgs.
“U.S. Appl. No. 13/909,777, Response filed Jan. 28, 2014 to Non Final Office Action dated Oct. 28, 2014”, 8 pgs.
“U.S. Appl. No. 13/909,777, Response filed Oct. 10, 2013 to Restriction Requirement dated Sep. 11, 2013”, 8 pgs.
“U.S. Appl. No. 13/909,777, Restriction Requirement dated Sep. 11, 2013”, 6 pgs.
“U.S. Appl. No. 14/013,276, Non Final Office Action dated Apr. 1, 2015”, 17 pgs.
“U.S. Appl. No. 14/013,276, Notice of Allowance dated Aug. 28, 2015”, 9 pgs.
“U.S. Appl. No. 14/013,276, Response filed Jun. 30, 2015 to Non Final Office Action dated Apr. 1, 2015”, 11 pgs.
“U.S. Appl. No. 14/318,785, Examiner Interview Summary dated Jul. 18, 2016”, 3 pgs.
“U.S. Appl. No. 14/318,785, Examiner Interview Summary dated Aug. 24, 2015”, 3 pgs.
“U.S. Appl. No. 14/318,785, Final Office Action dated May 16, 2016”, 10 pgs.
“U.S. Appl. No. 14/318,785, Final Office Action dated Jun. 17, 2015”, 8 pgs.
“U.S. Appl. No. 14/318,785, Non Final Office Action dated Dec. 2, 2015”, 9 pgs.
“U.S. Appl. No. 14/318,785, Non Final Office Action dated Dec. 22, 2014”, 7 pgs.
“U.S. Appl. No. 14/318,785, Notice of Allowance dated Aug. 10, 2016”, 8 pgs.
“U.S. Appl. No. 14/318,785, Preliminary Amendment filed Jul. 1, 2014”, 8 pgs.
“U.S. Appl. No. 14/318,785, Response filed Mar. 2, 2016 to Non Final Office Action dated Dec. 2, 2015”, 11 pgs.
“U.S. Appl. No. 14/318,785, Response filed Mar. 23, 2015 to Non Final Office Action dated Dec. 22, 2014”, 10 pgs.
“U.S. Appl. No. 14/318,785, Response filed Jul. 14, 2016 to Final Office Action dated May 16, 2016”, 9 pgs.
“U.S. Appl. No. 14/318,785, Response filed Aug. 21, 2015 to Final Office Action dated Jun. 17, 2015”, 10 pgs.
“U.S. Appl. No. 14/318,785, Response filed Oct. 28, 2014 to Restriction Requirement dated Aug. 28, 2014”, 8 pgs.
“U.S. Appl. No. 14/318,785, Restriction Requirement dated Aug. 28, 2014”, 6 pgs.
“U.S. Appl. No. 14/325,634, Non Final Office Action dated Jan. 14, 2015”, 13 pgs.
“U.S. Appl. No. 14/325,634, Notice of Allowability dated May 29, 2015”, 5 pgs.
“U.S. Appl. No. 14/325,634, Preliminary Amendment filed Jul. 9, 2014”, 6 pgs.
“U.S. Appl. No. 14/325,634, Response filed Apr. 9, 2015 to Non Final Office Action dated Jan. 14, 2015”, 12 pgs.
“U.S. Appl. No. 14/708,445, Preliminary Amendment filed May 12, 2015”, 6 pgs.
“U.S. Appl. No. 14/958,413, Final Office Action dated Sep. 12, 2017”, 9 pgs.
“U.S. Appl. No. 14/958,413, Non Final Office Action dated May 24, 2017”, 9 pgs.
“U.S. Appl. No. 14/958,413, Notice of Allowance dated Jan. 10, 2018”, 9 pgs.
“U.S. Appl. No. 14/958,413, Preliminary Amendment filed Feb. 9, 2016”, 6 pgs.
“U.S. Appl. No. 14/958,413, Response filed Aug. 24, 2017 to Non Final Office Action dated May 24, 2017”, 9 pgs.
“U.S. Appl. No. 14/958,413, Response filed Sep. 7, 2016 to Restriction Requirement dated Jul. 8, 2016”, 7 pgs.
“U.S. Appl. No. 14/958,413, Response filed Dec. 12, 2017 to Final Office Action dated Sep. 12, 2017”, 8 pgs.
“U.S. Appl. No. 14/958,413, Restriction Requirement dated Jul. 8, 2016”, 9 pgs.
“U.S. Appl. No. 14/958,413, Restriction Requirement dated Dec. 21, 2016”, 7 pgs.
“U.S. Appl. No. 15/342,687, Advisory Action dated Sep. 4, 2018”, 3 pgs.
“U.S. Appl. No. 15/342,687, Final Office Action dated May 15, 2019”, 7 pgs.
“U.S. Appl. No. 15/342,687, Final Office Action dated Jun. 26, 2018”, 13 pgs.
“U.S. Appl. No. 15/342,687, Non Final Office Action dated Oct. 25, 2018”, 10 pgs.
“U.S. Appl. No. 15/342,687, Non Final Office Action dated Dec. 13, 2017”, 10 pgs.
“U.S. Appl. No. 15/342,687, Notice of Allowance dated Aug. 1, 2019”, 7 pgs.
“U.S. Appl. No. 15/342,687, Preliminary Amendment filed Nov. 9, 2016”, 7 pgs.
“U.S. Appl. No. 15/342,687, Response filed Mar. 12, 2018 to Non Final Office Action dated Dec. 13, 2017”, 10 pgs.
“U.S. Appl. No. 15/342,687, Response filed Jul. 15, 2019 to Final Office Action dated May 15, 2019”, 8 pgs.
“U.S. Appl. No. 15/342,687, Response filed Aug. 27, 2018 to Final Office Action dated Jun. 26, 2018”, 9 pgs.
“U.S. Appl. No. 15/342,687, Response filed Sep. 20, 2017 to Restriction Requirement dated Jul. 24, 2017”, 7 pgs.
“U.S. Appl. No. 15/342,687, Restriction Requirement dated Jul. 24, 2017”, 6 pgs.
“U.S. Appl. No. 16/597,620, Advisory Action dated Jan. 7, 2022”, 3 pgs.
“U.S. Appl. No. 16/597,620, Examiner Interview Summary dated Sep. 27, 2021”, 2 pgs.
“U.S. Appl. No. 16/597,620, Final Office Action dated Nov. 2, 2021”, 10 pgs.
“U.S. Appl. No. 16/597,620, Non Final Office Action dated Jun. 14, 2021”, 14 pgs.
“U.S. Appl. No. 16/597,620, Notice of Allowance dated Feb. 28, 2022”, 9 pgs.
“U.S. Appl. No. 16/597,620, Response filed May 25, 2021 to Restriction Requirement dated Apr. 5, 2021”, 7 pgs.
“U.S. Appl. No. 16/597,620, Response filed Oct. 6, 2021 to Non Final Office Action dated Jun. 14, 2021”, 12 pgs.
“U.S. Appl. No. 16/597,620, Response filed Dec. 22, 2021 to Final Office Action dated Nov. 2, 2021”, 9 pgs.
“U.S. Appl. No. 16/597,620, Restriction Requirement dated Apr. 5, 2021”, 7 pgs.
“U.S. Appl. No. 14/958,413, Response filed Feb. 16, 2017 to Restriction Required dated Dec. 21, 2016”, 8 pgs.
“U.S. Appl. No. 16/597,620, Preliminary Amendment filed Oct. 10, 2019”, 6 pgs.
“U.S. Appl. No. 15/342,687, Response filed Jan. 25, 19 to Non Final Office Action dated Oct. 25, 2018”, 14 pgs.
“European Application Serial No. 06752374.6, Examination Notification Art. 94(3) dated Jan. 27, 2015”, 5 pgs.
“European Application Serial No. 06752374.6; Office Action Filed Mar. 30, 2011”, 15.
“European Application Serial No. 06752374.6; Office Action dated Nov. 22, 2010”, 4 Pgs.
“International Application Serial No. PCT/US2006/017637, International Search Report and Written Opinion dated Oct. 20, 2006”.
“International Application Serial No. PCT/US2006/042727, International Search Report and Written Opinion dated Apr. 23, 2007”, 16 pgs.
“International Application Serial No. PCT/US2011/021154, Search Report dated Mar. 10, 2011”, 5 pgs.
“International Application Serial No. PCT/US2011/021154, Written Opinion dated Mar. 10, 2011”, 9 pgs.
“Japanese Application Serial No. 2008-513513, Office Action dated Nov. 14, 2011”, with English translation, 9 pgs.
“Japanese Application Serial No. 2008-513513, Response filed Mar. 14, 2012 to Office Action dated Nov. 14, 2011”, with English claims, 21 pgs.
Andersen, H, et al., “Long-term follow-up of patients from a randomised trial of atrial versus ventricular pacing for sick-sinus syndrome”, Lancet, 350(9086), (Oct. 25, 1997), 1210-6.
Benchimol, A, et al., “Cardiac hemodynamics during stimulation of the right atrium, right ventricle, and left ventricle in normal and abnormal hearts”, Circulation, 33(6), (Jun. 1966), 933-44.
Bevan, J A, et al., “Postganglionic sympathetic delay in vascular smooth muscle”, Journal of Pharmacology & Experimental Therapeutics, 152(2), (May 1966), 221-30.
Bevan, J A, et al., “Sympathetic nerve-free vascular muscle”, Journal of Pharmacology & Experimental Therapeutics, 157(1), (Jul. 1967), 117-24.
Bilgutay, A M, et al., “A new concept in the treatment of hypertension utilizing an implantable electronic device: “Baropacer””, Trans Am Soc Artif Intern Organs., 10, (1964), 387-395.
Bilgutay, A M, et al., “Vagal tuning for the control of supraventricular arrhythmias”. Surgical Forum, 16. (1965), 151-3.
Bilgutay, A. M, et al., “Vagal tuning. A new concept in the treatment of supraventricular arrhythmias, angina pectoris, and heart failure”, Journal of Thoracic and Cardiovascular Surgery, 56(1), (Jul. 1968), 71-82.
Borst, C, et al., “Optimal frequency of carotid sinus nerve stimulation in treatment of angina pectoris”, Cardiovascular Research, 8(5), (Sep. 1974), 674-80.
Braunwald, E, et al., “Carotid sinus nerve stimulation in the treatment of angina pectoris and supraventricular tachycardia”, California Medicine, 112(3), (Mar. 1970), 41-50.
Braunwald, E, et al., “Relief of angina pectoris by electrical stimulation of the carotid-sinus nerves”, New England Journal of Medicine, 277(24), (Dec. 14, 1967), 1278-83.
Chapleau, M W, et al., “Pulsatile activation of baroreceptors causes central facilitation of baroreflex”, American Journal of Physiology, 256(6 Pt 2), (Jun. 1989), H1735-41.
Chapleau, M. W., et al., “Contrasting effects of static and pulsatile pressure on carotid baroreceptor activity in dogs”, Circulation, vol. 61, No. 5, (Nov. 1987), 648-658.
Coleridge, J C, et al., “Relationship between pulmonary arterial pressure and impulse activity in pulmonary arterial baroreceptor fibres”, Journal of Physiology, 158, (Sep. 1961), 197-205.
Coleridge, J C, et al., “The distribution, connexions and histology of baroreceptors in the pulmonary artery, with some observations on the sensory innervation of the ductus arteriosus”, Journal of Physiology, 156, (May 1961), 591-602.
Cooper, Terry B, et al., “Neural effects on sinus rate and atrioventricular conduction produced by electrical stimulation from a transvenous electrode catheter in the canine right pulmonary artery”. Circulation Research, vol. 46, No. 1, (Jan. 1980), 48-57.
Courtice, G P, et al., “Effect of frequency and impulse pattern on the non-cholinergic cardiac response to vagal stimulation in the toad, Bufo marinus”, Journal of the Autonomic Nervous System, 48(3), (Aug. 1994), 267-72.
Dart. Jr., C H, et al., “Carotid sinus nerve stimulation treatment of angina refractory to other surgical procedures”, Annals of Thoracic Surgery, 11(4), (Apr. 1971), 348-59.
De Landsheere, D, et al., “Effect of spinal cord stimulation on regional myocardial perfusion assessed by positron emission tomography”, American Journal of Cardiology, 69(14), (May 1, 1992), 1143-9.
Dunning, A. J., “Electrostimulation of the Carotid Sinus Nerve in Angina Pectoris”, University Department of Medicine, Binnengasthuis, Amsterdam; Printed by Royal VanGorcum, Assen, Netherlands, (1971), 1-92.
Epstein, S. E., et al., “Treatment of angina pectoris by electrical stimulation of the carotid-sinus nerves”, New England Journal of Medicine, 280(18), (May 1, 1969), 971-978.
Farrehi, C, “Stimulation of the carotid sinus nerve in treatment of angina pectoris”, American Heart Journal, 80(6), (Dec. 1970), 759-65.
Feliciano, L, et al., “Vagal nerve stimulation releases vasoactive intestinal peptide which significantly increases coronary artery blood flow”, Cardiovascular Research, 40(1), (Oct. 1998), 45-55.
Fromer, M, et al., “Ultrarapid subthreshold stimulation for termination of atrioventricular node reentrant tachycardia”, Journal of the American College of Cardiology, 20(4), (Oct. 1992), 879-83.
Grassi, Guido, et al., “Baroreflex and non-baroreflex modulation of vagal cardiac control after myocardial infarction”, Am J Cardiol., 84(5), (Sep. 1, 1999), 525-529.
Griffith, Lawrence S.C., et al., “Electrical Stimulation of the Carotid Sinus Nerve in Normotensive and Renal Hypertensive Dogs”, Circulation, 28, (Jul.-Dec. 1963), 730.
Henning, R J, et al., “Effects of autonomic nerve stimulation, asynchrony, and load on dP/dtmax and on dP/dtmin”, American Journal of Physiology, 260(4 Pt 2), (Apr. 1991), H1290-H1298.
Henning, R J, et al., “Vagal nerve stimulation increases right ventricular contraction and relaxation and heart rate”, Cardiovascular Research, 32(5), (Nov. 1996), 846-53.
Henning, R J, et al., “Vagal stimulation attenuates sympathetic enhancement of left ventricular function”, American Journal of Physiology, 258(5 Pt 2), (May 1990), H1470-5.
Holmgren, C., et al., “Risk of interference from transcutaneous electrical nerve stimulation on the sensing function of implantable defibrillators”, Pacing Clin Electrophysiol., 31(2), (Feb., 2008), 151-8.
Hood Jr., W B, et al., “Asynchronous contraction due to late systolic bulging at left (ventricular pacing sites”, American Journal of Physiology, 217(1), (Jul. 1969), 215-21.
Ishise, H, et al., “Time course of sympathovagal imbalance and left ventricular dysfunction in conscious dogs with heart failure”, Journal of Applied Physiology, 84(4), (Apr. 1998), 1234-41.
Jessurun, G A, et al., “Coronary blood flow dynamics during transcutaneous electrical nerve stimulation for stable angina pectoris associated with severe narrowing of one major coronary artery”. American Journal of Cardiology, 82(8), erratum appears in Am J Cardiol (Feb. 15, 1999;83(4):642, (Oct. 15, 1998), 921-6.
Kandel, Eric R, et al., “Part VII: Arousal, Emotion, and Behavioral Homeostasis”, In: Principles of Neural Science, New York : McGraw-Hill, Health Professions Division, (2000), 966-969.
|Karpawich, P P, et al., “Altered cardiac histology following apical right ventricular pacing in patients with congenital atrioventricular block”, Pacing Clin Electrophysiol., 22(9), (Sep. 1999), 1372-7.
Leclercq, C, et al., “Hemodynamic importance of preserving the normal sequence of ventricular activation in permanent cardiac pacing”, Am Heart J., 129(6), (Jun., 1995), 1133-41.
Levy, M. N., et al., “Effects of Repetitive Bursts of Vagal Activity on Heart Rate”, Circulation Research, 30(2), (1972), 186-195.
Li, M., et al., “Vagal nerve stimulation markedly improves long-term survival after chronic heart failure in rats”, Circulation, 109(1), (2004), 120-124.
Mannheimer, C, et al., “Epidural spinal electrical stimulation in severe angina pectoris”, British Heart Journal, 59(1), (Jan. 1988), 56-61.
Mannheimer, C, et al., “Transcutaneous electrical nerve stimulation (TENS) in angina pectoris”, Pain, 26(3), (Sep. 1986), 291-300.
Mannheimer, C, et al., “Transcutaneous electrical nerve stimulation in severe angina pectoris”, European Heart Journal, 3(4), (Aug. 1982), 297-302.
Martin, P., “Time-dependent heart period and contractility responses to successive brief vagal stimuli”, Am J Physiol, 239(4), (Oct., 1980), H494-H500.
Mazgalev, T N, et al., “Autonomic modification of the atrioventricular node during atrial fibrillation: role in the slowing of ventricular rate”, Circulation, 99(21), (Jun. 1, 1999), 2806-14.
Millar-Craig, M W, et al., “Circadian variation of blood-pressure”, Lancet, 1(8068). (Apr. 15, 1978), 795-7.
Minisi, A J, et al., “Regional left ventricular deafferentation increases baroreflex sensitivity following myocardial infarction”, Cardiovasc Res., 58(1), (Apr. 1, 2003), 136-41.
Murphy, D F, et al., “Intractable angina pectoris: management with dorsal column stimulation”, Medical Journal of Australia, 146(5), (Mar. 2, 1987), 260.
Neistadt, A, et al., “Effects of electrical stimulation of the carotid sinus nerve in reversal of experimentally induced hypertension”, Surgery, 61(6), (Jun. 1967), 923-31.
Nolan, J., et al., “Prospective Study of Heart Rate Variability and Mortality in Chronic Heart Failure: Results of the United Kingdom Heart Failure Evaluation and Assessment of Risk Trial (UK-Heart).”, Circulation, 98(15), (1998), 1510-1516.
Peters, T K, et al., “Temporal and spatial summation caused by aortic nerve stimulation in rabbits. Effects of stimulation frequencies and amplitudes”, Journal of the Autonomic Nervous System, 27(3), (Aug. 1989), 193-205.
Peters, T K, et al., “The principle of electrical carotid sinus nerve stimulation: a nerve pacemaker system for angina pectoris and hypertension therapy”, Annals of Biomedical Engineering, 8(4-6), (1980), 445-458.
Philbin, D M, et al., “Inappropriate shocks delivered by an ICD as a result of sensed potentials from a transcutaneous electronic nerve stimulation unit”, Pacing & Clinical Electrophysiology, 21(10), (Oct. 1998), 2010-1.
Prakash, P, et al., “Asymmetrical distribution of aortic nerve fibers in the pig”, Anat Rec., 158(1), (May 1967), 51-7.
Rosenqvist, M, et al., “The effect of ventricular activation sequence on cardiac performance during pacing”, Pacing and Electrophysiology, 19(9), (1996), 1279-1286.
Rushmer, Robert F, “Chapter 5—Systemic Arterial Pressure”, In: Cardiovascular dynamics, Philadelphia : Saunders, (1976), 176-216.
Schauerte, P, et al., “Catheter stimulation of cardiac parasympathetic nerves in humans: a novel approach to the cardiac autonomic nervous system”, Circulation, 104(20); (Nov. 13, 2001), 2430-5.
Schauerte, P, et al., “Ventricular rate control during atrial fibrillation by cardiac parasympathetic nerve stimulation: a transvenous approach”, J Am Coll Cardiol., 34(7), (Dec., 1999), 2043-50.
Schauerte, P. N. et al., “Transvenous parasympathetic cardiac nerve stimulation: an approach for stable sinus rate control”, Journal of Cardiovascular Electrophysiology, 10(11); (Nov. 1999), 1517-1524.
Schauerte, P., et al., “Transvenous parasympathetic nerve stimulation in the inferior vena cava and atrioventricular conduction”, Journal of Cardiovascular Electrophysiology, 11(1). (Jan. 2000), 1 pg.
Scherlag, M A., et al., “Endovascular Neural Stimulation Via a Novel Basket Electrode Catheter: Comparison of Electrode Configurations”. Journal of Interventional Cardiac Electrophysiology, 4(1), (Apr. 2000), 219-224.
Sigurdsson, A., et al., “The Role of Neurohormonal Activation in Chronic Heart Failure and Postmyocardial Infarction”, American Heart Journal, 132(1, Part 2), (Jul. 1996), 229-234.
Takahashi, N, et al., “Vagal modulation of ventricular tachyarrhythmias induced by left ansae subclaviae stimulation in rabbits”, Japanese Heart Journal, 39(4), (Jul. 1998), 503-11.
Tse, H F, et al., “Long-term effect of right ventricular pacing on myocardial perfusion and function”, J Am Coll Cardiol., 29(4), (Mar. 15, 1997), 744-9.
Vanoli, E., et al., “Vagal Stimulation and Prevention of Sudden Death in Conscious Dogs With a Healed Myocardial Infarction”, Circulation Research, 68(5), (May 1991), 1471-1481.
Veerman, D P, et al., “Circadian profile of systemic hemodynamics”, Hypertension, 26(1), (Jul. 1995), 55-9.
Verity, M A, et al., “Plurivesicular nerve endings in the pulmonary artery”, Nature, 211(48), (Jul. 30, 1966), 537-8.
Verity, M, et al., “Pulmonary artery innervation: a morphopharmacologic correlation”, Proceedings of the Western Pharmacology Society, 8, (1965), 57-9.
Wallick, D W, et al., “Selective AV nodal vagal stimulation improves hemodynamics during acute atrial fibrillation in dogs”, American Journal of Physiology—Heart & Circulatory Physiology, 281(4), (Oct. 2001), H1490-7.
Waninger, M S, et al., “Electrophysiological control of ventricular rate during atrial fibrillation”, Pacing & Clinical Electrophysiology, 23(8), (Aug. 2000), 1239-44.
Wiggers, C J, et al., “The muscular reactions of the mammalian ventricles to artificial surface stimuli”, American Journal of Physiology, (1925), 346-378.
Zhang, Y, et al., “Optimal ventricular rate slowing during atrial fibrillation by feedback AV nodal-selective vagal stimulation”, American Journal of Physiology—Heart & Circulatory Physiology, 282(3), (Mar. 2002), H1102-10.
Zhou, X, et al., “Prevention of high incidence of neurally mediated ventricular arrhythmias by afferent nerve stimulation in dogs”, Circulation, 101(7), (Feb. 22, 2000), 819-24.
Related Publications (1)
Number Date Country
20220296904 A1 Sep 2022 US
Divisions (1)
Number Date Country
Parent 11137038 May 2005 US
Child 13909777 US
Continuations (4)
Number Date Country
Parent 16597620 Oct 2019 US
Child 17835302 US
Parent 15342687 Nov 2016 US
Child 16597620 US
Parent 14318785 Jun 2014 US
Child 15342687 US
Parent 13909777 Jun 2013 US
Child 14318785 US