Treatment of congestive heart failure with electrical stimulation, and associated systems and methods

Information

  • Patent Grant
  • 11596798
  • Patent Number
    11,596,798
  • Date Filed
    Wednesday, September 23, 2020
    3 years ago
  • Date Issued
    Tuesday, March 7, 2023
    a year ago
Abstract
Systems and methods for treating congestive heart failure with high frequency stimulation are disclosed. A representative method for treating a patient includes applying an electrical signal having a frequency of from about 1 kHz to about 100 kHz to the patient via a treatment system that includes a signal delivery element in electrical communication with the patient's vagus nerve at a portion of the vagus nerve located at or proximate to the anterior interventricular junction of the patient's heart. The method can further include automatically detecting at least one physiological parameter of the patient, automatically determining at least one of an ejection fraction of the patient's heart and a correlate of the ejection fraction based on the detected parameter, and automatically adjusting the applied signal based on the determined ejection fraction.
Description
TECHNICAL FIELD

The present technology is directed generally to treatment of congestive heart failure with electrical stimulation, and associated systems and methods.


BACKGROUND

Congestive heart failure (CHF) is a chronic condition characterized by a reduction in contraction strength (e.g., contractility) of one or both of the main pumping chambers of the heart—the left and right ventricles. Reduced contractility of the ventricles reduces the volume of blood ejected by each ventricle per heart beat (e.g., stroke volume). When this occurs, the heart cannot pump blood with normal efficiency, and blood and other fluids begin to build up within the cardiovascular system and other parts of the body, such as the lungs, liver, abdomen, and lower extremities. In some cases of CHF, the myocardium (e.g., heart muscle tissue) becomes so weakened that the ventricles stretch or dilate, thereby damaging the Purkinje fibers located in the walls of the ventricles. The Purkinje fibers are responsible for carrying the contraction impulse to the myocardium of the ventricles, and thus damage to the Purkinje fibers by the dilated ventricles compromises the electrical conduction system of the heart and reduces the synchronization of contractility, further compromising the ejection fraction. Accordingly, there is a need for systems and methods for treating congestive heart failure.





BRIEF DESCRIPTION OF THE DRAWINGS


FIGS. 1A and 1B are anterior and posterior views, respectively, of a human heart.



FIG. 2A is a partially schematic illustration of an implantable treatment system positioned to deliver electrical signals to the heart in accordance with several embodiments of the present technology.



FIG. 2B is a partially schematic illustration of a portion of an implantable treatment system positioned to deliver electrical signals to the heart in accordance with several embodiments of the present technology.



FIG. 3 is a flow diagram illustrating a method for treating congestive heart failure in accordance with an embodiment of the present technology.



FIG. 4 is a flow diagram illustrating a method for determining a representative (e.g., maximum) treatment amplitude in accordance with an embodiment of the present technology.



FIG. 5 is a flow diagram illustrating a method for adjusting a treatment signal in response to real-time ejection fraction feedback in accordance with an embodiment of the present technology.





DETAILED DESCRIPTION

The present technology is directed generally to systems for treating congestive heart failure (CHF), and in particular, to systems for treating CHF by improving contraction strength of the left and/or right ventricles via electrical stimulation. In one embodiment, the present technology includes a treatment system having an implantable signal generator and a signal delivery element configured to apply an electrical signal to a parasympathetic nerve innervating a portion of a patient's heart. The system includes one or more real-time feedback mechanisms for evaluating the efficacy of the applied signal and automatically adjusting the applied signal based on the efficacy. For example, in some embodiments the treatment system can automatically determine an ejection fraction of the patient's heart and adjust one or more parameters of the applied electrical signal based on the ejection fraction.


Definitions of selected terms are provided under heading 1.0 (“Definitions”). General aspects of the anatomical and physiological environment in which the disclosed technology operates are described below under heading 2.0 (“Introduction”) with reference to FIGS. 1A and 1B. An overview of the treatment systems in which the disclosed technology operates is described below under heading 3.0 (“Overview”) with reference to FIGS. 2A and 2B. Particular embodiments of the technology are described further under heading 4.0 (“Representative Embodiments”) with reference to FIGS. 3-5. Additional embodiments are described under heading 5.0 (“Additional Embodiments).


1.0 Definitions

As used herein, “vagus nerve” refers to any of the following: portions of the left vagus nerve, the right vagus nerve, and/or the cervical vagus nerve, branches of the vagus nerve such as the superior cardiac nerve, superior cardiac branch, and inferior cardiac branch, and the vagus trunk. Similarly, stimulation of the vagus nerve is described herein by way of illustration and not limitation, and it is to be understood that in some embodiments of the present technology, other autonomic and/or parasympathetic nerves and/or parasympathetic tissue are stimulated, including sites where the vagus nerve innervates a target organ, vagal ganglia, nerves in the epicardial fat pads, a carotid artery, a jugular vein (e.g., an internal jugular vein), a carotid sinus, a coronary sinus, a vena cava vein, a pulmonary vein, and/or a right ventricle, for treatment of heart conditions or other conditions.


As used herein, “high frequency” or “HF” refers to a frequency of from about 1 kHz to about 100 kHz, or from about 1.2 kHz to about 100 kHz, or from about 1.5 kHz to about 100 kHz, or from about 2 kHz to about 50 kHz, or from about 3 kHz to about 20 kHz, or from about 3 kHz to about 15 kHz, or from about 5 kHz to about 15 kHz, or from about 3 kHz to about 10 kHz, or 1 kHz, 2 kHz, 3 kHz, 4 kHz, 5 kHz, 8 kHz, 9 kHz, 10 kHz, 11 kHz, 12 kHz, 15 kHz, 20 kHz, 50 kHz, or 100 kHz. As used herein, the term “about” refers to values within +/−10% of the stated value. Moreover, as used herein, “low frequency” or “LF” refers to a frequency less than about 1 kHz.


As used herein, “real-time” refers to within 10 seconds or less, within 5 seconds or less, within 3 seconds or less, within 2 seconds or less, within 1 second or less, within 0.5 seconds or less, within 0.25 seconds or less, and within 0.1 seconds or less.


2.0 Introduction


FIGS. 1A and 1B are anterior and posterior views, respectively, of a human heart H. As shown in FIGS. 1A and 1B, the heart H comprises four chambers, the right atrium RA, the left atrium LA, the right ventricle RV, and the left ventricle LV. The right and left atria RA, LA are separated from the right and left ventricles RV, LV by a groove known as the coronary or atrioventricular sulcus AVS. The anterior interventricular sulcus AIS and posterior interventricular sulcus PIS are grooves that separate the right and left ventricles RV, LV. Each of the atrioventricular sulcus AVS, the anterior interventricular sulcus AIS, and posterior interventricular sulcus PIS are surrounded by epicardial fat pads FP. The great cardiac vein GCV begins near the apex A of the heart and extends in a superior direction within the anterior interventricular sulcus AIS until eventually curving around the left side of the heart H within the atrioventricular sulcus AVS. A posterior portion of the great cardiac vein GCV empties into the coronary sinus CS, which is also positioned within the atrioventricular sulcus AVS.


3.0 Overview


FIG. 2A schematically illustrates a representative treatment system 100 for improving contractility of a patient's heart H, arranged relative to the general anatomy of a patient's heart H and chest region. As shown in FIG. 2A, parasympathetic innervation of the heart muscle is partially controlled by the vagus nerve V, which has branches that feed into one or more plexuses N located on, in and/or adjacent the epicardial fat pads FP. The treatment system 100 includes a signal delivery system 101 having a signal generator 102 (e.g., a pulse generator) and a signal delivery device or element 104. The signal generator 102 can be connected directly to the signal delivery element 104, or it can be coupled to the signal delivery element 104 via a signal link 108 (e.g., an extension). In one embodiment, signal generator 102 can be connected to signal delivery element 104 via wireless signal communication or wireless signal transmission. In some embodiments, the signal generator 102 may be implanted subcutaneously within a patient P, while in other embodiments signal generator 102 can be external to the patient. As shown in FIG. 2A, the signal delivery element 104 is configured to be positioned at or proximate to an epicardial fat pad FP, and to apply an electrical signal to the adjacent vagal plexus N. It is believed that high frequency modulation at or proximate the epicardial fat pads FP can modulate the parasympathetic nerve plexus(es) N located on or within the epicardial fat pads FP, thereby improving parasympathetic tone (e.g., the electrical activity of the parasympathetic nerve fibers) and ventricular contraction strength. As such, in one embodiment, the electrical signal applied to the vagal plexus N is a high frequency electrical signal (or high frequency therapy signal).


The signal generator 102 can transmit signals (e.g., electrical signals or therapy signals) to the signal delivery element 104 that up-regulate (e.g., stimulate or excite) and/or down-regulate (e.g., block or suppress) target nerves (e.g., local vagal nerves). As used herein, and unless otherwise noted, to “modulate,” “stimulate,” or provide “modulation” or “stimulation” to the target nerves refers generally to having either type of the foregoing effects on the target nerves. The signal generator 102 can include a machine-readable (e.g., computer-readable) medium containing instructions for generating and transmitting suitable therapy signals. The signal generator 102 and/or other elements of the treatment system 100 can include one or more processors 110, memories 112 and/or input/output devices. Accordingly, the process of providing electrical signals, detecting physiological parameters of the patient, determining ejection fraction, adjusting the modulation signal, and/or executing other associated functions can be performed by computer-executable instructions contained by computer-readable media located at the signal generator 102 and/or other system components. The signal generator 102 can include multiple portions, elements, and/or subsystems (e.g., for directing signals in accordance with multiple signal delivery parameters) housed in a single housing, as shown in FIG. 2A, or in multiple housings.


The signal delivery system 101 can include one or more sensing elements 140 for detecting one or more physiological parameters of the patient before, during, and/or after the application of electrical therapy signals. In some embodiments, one or more of the sensing elements 140 can be carried by the signal generator 102, the signal delivery element 104, and/or other implanted components of the system 101. In other embodiments, the sensing element(s) 140 can be an extracorporeal or implantable device separate from the signal generator 102 and/or signal delivery element 104. Representative sensing elements 140 include one or more of: an electrocardiogram (“ECG”) unit, an impedance cardiography unit, a subcutaneous sensor, a ventricular sensor, an activity sensor (e.g., an accelerometer), a ventricular intracardiac sensor, an atrial intracardiac sensor, a temperature sensor, a flow rate sensor, a chemical sensor, a biosensor, an electrochemical sensor, a hemodynamic sensor, an optical sensor and/or other suitable sensing devices. Physiological parameters detected by the sensing element(s) 140 include heart rate, blood pressure, blood flow rate, activity level, ECG readings, impedance cardiography readings, ventricular and/or atrial pressure, and/or any correlates and/or derivatives of the foregoing parameters (e.g., raw data values, including voltages and/or other directly measured values).


In a representative embodiment, the signal delivery system 101 is configured to operate in either a “calibration mode” or an “active mode.” In the calibration mode, the signal delivery system 101 is configured to apply a low frequency electrical signal (also referred to herein as the “LF calibration signal”) via the signal delivery element 104 at the treatment site to determine a representative (e.g., maximum) signal amplitude that can be applied during subsequent treatment. In one embodiment, for example, the maximum signal amplitude is determined during the calibration mode to be the lower of: (1) the amplitude at which direct, immediate changes are observed to the heart rate, myocardial activation, or chamber sequencing, and (2) the amplitude which creates sensations which are perceived by the patient. In a particular embodiment, the signal delivery system 101 is also configured to apply a high frequency electrical signal (referred to herein as the “HF calibration signal”) when in the calibration mode to validate the maximum signal amplitude identified by the LF calibration signal. In the active mode, the signal delivery system 101 is configured to apply a high frequency electrical signal (also referred to herein as the “HF treatment signal” or “HF therapy signal”) at the treatment site to modulate the parasympathetic nerves proximate the treatment site. Parameters of the electrical signals applied by the signal delivery system 101 during calibration mode and/or active mode can be (1) automatically adjusted in response to a feedback mechanism and/or in accordance with a preset program (described in greater detail with reference to FIGS. 3-5), (2) manually adjusted in accordance with patient and/or practitioner inputs, and/or (3) automatically adjusted in a random or pseudorandom manner. “For example, a physician may find it beneficial to reduce the likelihood of the targeted nerves developing an adaptive, neuroplastic response that could diminish the efficacious effects of the applied signal over time. In such cases, an algorithm may be used to alter the applied amplitude of energy delivery in a pseudorandom manner. For example, the physician may set boundaries for the signal amplitude, such as a lower boundary of 0 mA and an upper boundary determined during calibration. Additionally, the physician may specify a schedule for varying the amplitude within the preset bounds, such as one amplitude change every N beats during the ventricular refractory period, M changes every beat during the ventricular refractory period, etc. Signal parameters include, for example, frequency, amplitude, pulse width, and duty cycle. It will be appreciated that in other embodiments, the signal delivery system 101 can be configured to operate in more than two modes.


In some embodiments, the signal generator 102 can obtain power to generate the therapy signals from an external power source 114. The external power source 114 can transmit power to the implanted signal generator 102 using electromagnetic induction (e.g., RF signals). For example, the external power source 114 can include an external coil 116 that communicates with a corresponding internal coil (not shown) within the implantable signal generator 102. The external power source 114 can be portable for ease of use.


In another embodiment, the signal generator 102 can obtain the power to generate therapy signals from an internal power source, in addition to or in lieu of the external power source 114. For example, the implanted signal generator 102 can include a non-rechargeable battery or a rechargeable battery to provide such power. When the internal power source includes a rechargeable battery, the external power source 114 can be used to recharge the battery. The external power source 114 can in turn be recharged from a suitable power source (e.g., conventional wall power).


During at least some procedures, an external programmer 120 (e.g., a trial modulator) can be coupled to the signal delivery element 104 during an initial procedure, prior to implanting the signal generator 102. For example, a practitioner (e.g., a physician and/or a company representative) can use the external programmer 120 in calibration mode to vary the signal parameters provided to the signal delivery element 104 in real-time, and select optimal or particularly efficacious signal parameters and/or signal delivery element 104 placement, as discussed in greater detail below with reference to FIG. 4. In a typical process, the practitioner uses a cable assembly 128 to temporarily connect the external programmer 120 to the signal delivery element 104. Whether calibrating the signal delivery system 101 or applying the HF treatment signal, the practitioner can test the efficacy of the signal delivery element 104 in an initial position and/or with initial signal parameters. The practitioner can then disconnect the cable assembly 128 (e.g., at a connector 130), reposition the signal delivery element 104, and reapply the electrical signal. This process can be performed iteratively until the practitioner confirms the desired therapy signal parameters and/or position for the signal delivery element 104 are clinically effective. Optionally, the practitioner can move the partially implanted signal delivery element 104 without disconnecting the cable assembly 128.


After a trial period with the external programmer 120, the practitioner can implant the implantable signal generator 102 within the patient P for longer term treatment. The signal delivery parameters provided by the signal generator 102 can still be updated after the signal generator 102 is implanted, via a wireless physician's programmer 124 (e.g., a physician's remote).



FIG. 2B is a partially schematic illustration of the heart H along with a signal delivery element 104 implanted within the great cardiac vein GCV. The parasympathetic nerve fibers N depicted in FIG. 2A are not shown in FIG. 2B for purposes of clarity. In the representative embodiment, the signal delivery element 104 comprises a flexible, isodiametric lead or lead body that carries features or elements for delivering an electrical signal to the treatment site after implantation. As used herein, the terms “lead” and “lead body” include any of a number of suitable substrates and/or support members that carry devices for providing therapy signals to the patient. For example, the lead body can include one or more electrodes or electrical contacts 105 that direct electrical signals into the patient's tissue, such as to improve parasympathetic tone (e.g., parasympathetic electrical activity). In other embodiments, the signal delivery element 104 can include devices other than a lead body (e.g., a paddle) and/or other lead configurations (e.g., cardiac pacing leads, implantable cardioverter defibrillator (ICD) leads, cardiac resynchronization therapy (CRT) leads, left heart leads, epicardial leads, etc.) that also direct electrical signals and/or other types of signals to the patient. In a particular embodiment, the signal delivery system 101 (FIG. 2A) includes more than one signal delivery element 104 (e.g., two signal delivery elements 104, three signal delivery elements 104, four signal delivery elements 104, etc.), each configured to apply electrical signals at different locations and/or coordinate signal delivery to deliver a combined signal to the same (or generally the same) anatomical location.


As shown in FIG. 2B, the signal delivery element 104 can be positioned along at least a portion of the great cardiac vein GCV at or proximate the anterior interventricular sulcus AIS. In other embodiments, the signal delivery element 104 can be positioned at other cardiac locations at or proximate the epicardial fat pads FP. As used herein, “at or proximate the epicardial fat pads” refers to a position of the signal delivery element 104 that is in, on or otherwise in direct contact with a coronary vessel that is in direct contact with the targeted epicardial fat pad FP, and/or in direct contact with the adipocyte tissue of the targeted fat pad FP. For example, the signal delivery element 104 can be directly coupled to the fat pad FP tissue, positioned within a coronary artery, positioned within a coronary vein not in direct contact with the targeted epicardial fat pad FP and/or in direct contact with the adipocyte tissue of the targeted fat pad FP (e.g., the middle cardiac vein, the small cardiac vein, one or more anterior cardiac veins, the coronary sinus, etc.), positioned at an exterior portion of a coronary artery and/or coronary vein, positioned along at least a portion of the great cardiac vein GCV apart from the anterior interventricular sulcus AIS (e.g., at or proximate the atrioventricular sulcus AVS, etc.), and/or other suitable locations. In some embodiments, the signal delivery element 104 can be positioned on or within a coronary blood vessel such that the signal delivery element 104 spans more than one portion of the host blood vessel. For example, the signal delivery element 104 can be positioned such that (a) a first portion of the signal delivery element 104 coincides with at least a portion of the great cardiac vein GCV at or proximate the anterior interventricular sulcus AIS, and (b) a second portion of the signal delivery element 104 coincides with at least a portion of the great cardiac vein GCV at or proximate the atrioventricular sulcus AVS. In particular embodiments, the signal delivery element 104 can be coupled to and/or apply an electrical signal to more than one type of tissue (e.g., the adipose tissue of the fat pads FP and the neural tissue of the parasympathetic plexus N (FIG. 2A), the connective tissue of the blood vessel(s) and the neural tissue of the parasympathetic plexus N, etc.).


4.0 Representative Embodiments


FIGS. 3-5 illustrate a representative method for treating CHF and/or improving cardiac contractility utilizing the treatment system 100 described above with reference to FIGS. 2A and 2B. FIG. 3 illustrates an overall process 300 in accordance with a particular embodiment of the disclosure. The overall process 300 includes determining a representative (e.g., maximum) treatment amplitude (process portion 310), applying an HF treatment signal to a patient via the signal delivery system 101 (FIG. 2A) (process portion 312), and automatically detecting one or more physiological parameters of the patient (process portion 314). The process 300 can further include automatically determining an ejection fraction of the patient's heart based on the detected physiological parameter (process portion 316) and, based on the determined ejection fraction, automatically adjusting one or more parameters of the HF treatment signal (process portion 318). FIGS. 4 and 5 describe further aspects of particular embodiments of the foregoing process.



FIG. 4 is a block diagram 400 illustrating a representative method for determining a representative (e.g., maximum) signal amplitude prior to modulating the nerves to prevent unwanted effects on the electrical conduction system of the heart (e.g., tachycardia, bradycardia, etc.) during treatment. In block 410, with the signal delivery system 101 (FIG. 2A) in calibration mode, the practitioner applies the calibration signal to the treatment site. In the embodiment shown, an LF calibration signal is applied. In an alternative embodiment, however, a HF calibration signal may be applied. In a particular embodiment, the LF calibration signal can have a frequency of from about 0.1 to about 2.5 Hz, and in some embodiments, less than 1 Hz. In some embodiments the LF calibration signal can have a pulse width greater than 600 microseconds, and in certain embodiments, of from about 100 microseconds to about 2.5 milliseconds. During application of the LF calibration signal, the practitioner and/or system processor 110 can monitor an ECG of the patient for any changes (e.g., timing changes in the PQRST wave) while increasing the amplitude of the applied signal from a starting amplitude value (e.g., starting at an amplitude of 0.1 mA and increasing the amplitude in increments; for example of 0.1 mA, 0.2 mA, 0.5 mA, or 1.0 mA). As indicated by blocks 412 and 414, as long as no cardiac effect is detected on the ECG, the practitioner and/or processor 110 (FIG. 2A) can continue to increase the amplitude of the LF calibration signal. As indicated by blocks 412 and 416, if at any point the practitioner and/or system processor 110 detects a change in the ECG, the amplitude of applied signal can cease to increase and the amplitude at which the change in the ECG was detected is automatically stored in system memory 112 (FIG. 2A) (e.g., within the signal generator 102 (FIG. 2A) and/or the external programmer 120 (FIG. 2A)) and/or manually entered by the practitioner.


In a particular embodiment, the signal delivery system 101 (FIG. 2A) is optionally configured to determine a representative (e.g., maximum) HF signal amplitude by applying an HF calibration signal to the treatment site and monitoring the patient's ECG while increasing the HF calibration signal's amplitude from a starting amplitude value. In some embodiments, the HF calibration signal has a pulse width less than or equal to 1/(2*(the frequency of the HF calibration signal), and in a particular embodiment, of from about 100 nanoseconds to less than or equal to 1/(2*(the frequency of the HF calibration signal). In other embodiments, the signal can have other suitable pulse widths. Similar to the LF calibration process 400, as long as no cardiac effect is detected on the ECG, the practitioner and/or processor 110 (FIG. 2A) continues to increase the amplitude of the HF calibration signal. If at any point the practitioner and/or system processor 110 detects a change in the ECG, the amplitude of applied HF calibration signal can cease to increase and the amplitude at which the change in the ECG was detected is automatically stored in system memory 112 (FIG. 2A) (e.g., within the signal generator 102 (FIG. 2A) and/or the external programmer 120 (FIG. 2A)) and/or manually input by the practitioner. Although it is expected that the electrical energy required to trigger cardiac activity at the LF calibration signal will be much lower than the electrical energy required at the HF calibration signal, it can be advantageous in some procedures to determine the maximum treatment amplitude with the HF calibration signal to validate the maximum treatment signal amplitude determined using the LF calibration signal. Moreover, in some instances the physician may use the HF calibration signal to set the upper and lower bounds of the HF treatment signal amplitude. For example, in some embodiments the upper bound of the HF treatment signal amplitude can be set to the representative LF calibration signal amplitude plus 0.5*(the representative HF calibration signal amplitude minus the representative LF calibration signal amplitude). In yet other embodiments, the physician may set the HF treatment signal amplitude upper bound to 0.9*(the LF calibration signal amplitude).


Once the maximum treatment signal amplitude has been determined, the system 101 (FIG. 2A) can be put in active mode (as indicated in FIG. 3). In active mode, the signal delivery system 101 is configured to apply a therapy signal to the treatment site. Without being bound by theory, HF signals are believed to have significantly improved therapeutic effects when compared to LF signals in modulating the vagal nerve at the heart because it is believed that the LF signal parameters required for an LF signal to therapeutically modulate the vagal nerve would also necessarily activate the myocardium and induce unwanted cardiac effects (e.g., tachycardia, bradycardia, etc.). In some embodiments, an HF treatment signal is applied and can have a starting amplitude of about 90% of the maximum signal amplitude (determined during calibration mode). In a representative embodiment, the HF treatment signal is a pulse train with a duty-cycle from about 1% on to about 90% on (e.g., 10% or about 10% on, 25% or about 25% on, 50% or about 50% on, 70% or about 70% on, etc.). The HF treatment signal can have a pulse width of from about 1 us to about 80 μs, and in some embodiments, of from about 20 us to about 60 μs (e.g., 30 μs, 37 μs, 42 μs, etc.). The HF treatment signal can also have an interpulse width of from about 0 us to about 50 μs, or of from about 10 us to about 40 μs. In other embodiments, the HF treatment signal can be any charge-balanced, alternating-current waveform, such as a bi-phasic waveform, a sine waveform, a square waveform, a triangular waveform, a rectangular waveform, etc. In yet other embodiments, the treatment signal is not pulsed and instead is delivered continuously. In such embodiments, charge balancing can be achieved via active recharge on a pulse-by-pulse basis. As discussed in greater detail below with reference to FIG. 5, the signal delivery system 101 can control the timing of the application of the HF treatment signal based on one or more feedback mechanisms and/or preset programs (e.g., based on time of day). For example, the system 101 can be programmed to deliver the HF treatment signal for seconds, minutes, hours, days, weeks, and/or months at a time. In these and other embodiments, the signal delivery system 101 can be configured to apply the HF treatment signal continuously while implanted.


Application of the HF treatment signal at the treatment site (e.g., at or proximate an epicardial fat pad) is expected to modulate one or more vagal nerves at or proximate to the treatment site, thereby improving parasympathetic tone and cardiac contractility. One way to assess contractility and/or the efficacy of the treatment is by measuring ejection fraction, or the percentage of blood pumped out of the heart during each beat. An increase in ejection fraction indicates improved contractility and, likewise, a decrease in ejection fraction indicates reduced contractility. Under resting conditions, healthy adults have an average ejection fraction between 50% and 75%. Below 50%, the patient may experience a variety of symptoms, including shortness of breath, inability to exercise, swelling of the feet and lower legs, fatigue, weakness, and rapid or irregular heartbeat. Below 30%, the patient's quality of life is minimal and death may be imminent.


When the signal delivery system 101 (FIG. 2A) is in active mode—whether applying the treatment signal or not—the treatment system 100 and/or signal delivery system 101 can be configured to continuously or intermittently monitor one or more physiological parameters of the patient via the one or more sensing elements 140 (FIG. 2A). In a representative embodiment, the sensing element(s) 140 are positioned and/or otherwise configured to sense one or more physiological parameters that, when analyzed together by the processor 110, provide a reliable, real-time estimate of ejection fraction that can be used to adjust the treatment signal. Such physiological parameters include systolic pressure, diastolic pressure, interatrial pressure, flow rate, arterial pressure, heart rate, ventricular volume, ventricular impedance, blood oxygen saturation, and/or any derivative of the foregoing. In a particular embodiment, for example, the system 101 includes an algorithm that continuously and/or iteratively monitors ventricular impedance and heart rate and, based on those parameters, determines a change in ventricular volume over time (dVV/dt). In another embodiment, the system 101 includes one or more transducers configured for echocardiographic signaling. For example, in some embodiments the signal delivery element 104 (FIG. 2A) includes an array of piezoelectric transducers configured to emit sound waves towards one or more chambers of the heart, detect the reflected sound waves, and convert the reflected sound waves into a signal for storage and/or processing by the processor 110 (FIG. 2A). In these and other embodiments, the system 101 can include one or more transducers separate from the signal delivery element 104 and configured to be positioned at or near the heart and/or other internal and/or external anatomical locations. It will be appreciated that the system 101 can include multiple algorithms for determining and/or estimating ejection fraction. For example, in a particular embodiment, the system 101 can include an algorithm that estimates ejection fraction by monitoring changes in contraction velocity (e.g., via an accelerometer at the lead).



FIG. 5 is a block diagram 500 illustrating a method for adjusting the timing and/or one or more other parameters of the treatment signal in response to real-time ejection fraction feedback. As indicated at blocks 510 and 512, when the signal delivery system 101 is in active mode, the sensing element(s) 140 (FIG. 2A) continuously or intermittently communicate the sensed parameter values to the system processor 110 (FIG. 2A) and/or memory 112 (FIG. 2A). The processor 110 can determine an ejection fraction measurement (also referred to herein as the “EF measurement”) based on the sensed parameters (block 512). The EF measurement can be an instantaneous ejection fraction value or set of values, an average ejection fraction value over a period of time, and/or any derivative or correlate of either of the foregoing, such as a change in ejection fraction over time (dEF/dt) (or lack thereof) and a rate of change of ejection fraction EF over time (d2EF/dt2) (or lack thereof).


In block 514, the processor 110 (FIG. 2A) compares the EF measurement with a target ejection fraction threshold (also referred to herein as “target EF threshold”). The target EF threshold is a standardized or patient-specific ejection fraction metric that represents an improvement in ejection fraction relative to the patient's ejection fraction prior to treatment. The target EF threshold can be a single value or range of values, and can be determined prior to treatment and/or adjusted during treatment. Similar to the EF measurement, the target EF threshold can be an instantaneous ejection fraction value or set of values, an average ejection fraction value over a period of time, and/or any derivative of either of the foregoing, such as a change in ejection fraction over time (dEF/dt) (or lack thereof) and a rate of change of ejection fraction over time (d2EF/dt2) (or lack thereof). Moreover, on some embodiments the system 101 (FIG. 2A) may take into account multiple different EF measurements and/or multiple different target EF thresholds at decision block 514, and/or require more than one comparison before choosing a course of action.


As indicated by block 530, if the EF measurement is less than the target EF threshold, the processor 110 (FIG. 2A) will take one of two actions based on whether the signal delivery system 101 (FIG. 2A) is currently applying a treatment signal. If the EF measurement is less than the target EF threshold and the signal delivery system 101 is presently applying the treatment signal, one or more parameters of the treatment signal may not be sufficient to modulate the parasympathetic nerves. In such a scenario (indicated by block 544), the processor 110 can adjust one or more signal parameters (e.g., increase the treatment signal amplitude and/or the pulse width of the treatment signal) to increase the intensity of the treatment signal. As indicated by blocks 540 and 542, the processor 110 will not increase the treatment signal magnitude if the maximum treatment signal amplitude has already been reached. Alternatively, if the EF measurement is less than the target EF threshold and the signal delivery system 101 is not presently applying the treatment signal, then the processor 110 can initiate application of the treatment signal.


As indicated by block 520, if the EF measurement is greater than or equal to the target EF threshold, the processor 110 (FIG. 2A) will take one of two actions based on whether the signal delivery system 101 (FIG. 2A) is currently applying a treatment signal. If the EF measurement is greater than the target EF threshold and the signal delivery system 101 is presently applying the treatment signal, it may be beneficial to cease applying the treatment signal (indicated by block 526) but continue monitoring ejection fraction should the EF measurement fall below the target EF threshold. Alternatively, if the EF measurement is greater than the target EF threshold and the signal delivery system 101 is not presently applying the treatment signal, then the processor 110 can continue to not apply the treatment signal (indicated by block 524) but monitor ejection fraction should the EF measurement fall below the target EF threshold.


It will be appreciated that in any of the above embodiments, the signal delivery system 101 (FIG. 2A) can measure other parameters (in addition to ejection fraction) and can additionally or alternatively adjust the timing and/or signal parameters of the treatment signal in response to such other measurements and/or any parameter sensed by the sensing elements 140. For example, the signal delivery system 101 can be configured to detect an average heart rate outside of a target heart rate threshold, and, for example, if the detected heart rate is greater than the target heart rate threshold while the treatment signal is being applied, the processor 110 can decrease the pulse width and/or increase the amplitude of the treatment signal in order to increase the parasympathetic tone.


5.0 Additional Embodiments

Embodiments of the presently disclosed technology are described in the following examples. A method for treating congestive heart failure in a patient in accordance with one example includes applying an electrical signal to the patient via a treatment system that includes a signal delivery element in electrical communication with the patient's vagus nerve at a portion of the vagus nerve located at or proximate to the anterior interventricular junction of the patient's heart, with the electrical signal having a frequency of from about 1 kHz to about 100 kHz. The method further includes automatically detecting at least one physiological parameter of the patient, automatically determining at least one of an ejection fraction of the patient's heart and a correlate of the ejection fraction based on the detected parameter, and automatically adjusting the applied signal based on the determined ejection fraction. In some embodiments of the method, automatically adjusting the applied signal includes stopping the application of the applied signal in response to detecting an ejection fraction greater than or equal to a target ejection fraction threshold. In these and other embodiments, automatically adjusting the applied signal includes increasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to detecting an ejection fraction less than a target ejection fraction threshold and/or automatically adjusting the applied signal includes decreasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to detecting an ejection fraction greater than or equal to a target ejection fraction threshold. In some embodiments, automatically detecting a physiological parameter includes automatically detecting the patient's heart rate, and automatically adjusting the applied signal includes increasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to the increase in the patient's heart rate. Further, in at least some embodiments of the method, applying the electrical signal occurs at a first time and automatically adjusting the applied signal includes applying the electrical signal at a second time in response to detecting an ejection fraction less than the target ejection fraction threshold. In a particular embodiment, applying the electrical signal includes applying the signal to the patient via a lead positioned at or proximate to the atrial-ventricular fat pads of the patient's heart. In certain embodiments of the method, applying the electrical signal includes applying the signal with a pulse width less than or equal to 1/(2×the frequency of the signal). In further embodiments, the treatment system includes an implantable treatment system. In yet further embodiments, the at least one detected physiological parameter includes at least one of the patient's heart rate, the patient's blood pressure, and the patient's blood flow rate.


A method for treating congestive heart failure in a patient in accordance with another representative example includes applying an electrical signal having a frequency of from about 1 kHz to about 100 kHz to an epicardial fat pad of the patient's heart, automatically monitoring an ejection fraction of the patient, automatically comparing the monitored ejection fraction value to a predetermined threshold, and based on the comparison, automatically adjusting the applied signal. In some embodiments of the method, automatically adjusting the applied signal includes stopping the application of the applied signal in response to detecting an ejection fraction greater than or equal to a target ejection fraction threshold. In these and other embodiments, automatically adjusting the applied signal includes increasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to detecting an ejection fraction less than a target ejection fraction threshold and/or automatically adjusting the applied signal includes decreasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to detecting an ejection fraction greater than or equal to a target ejection fraction threshold. In a particular embodiment of the method, applying the electrical signal occurs at a first time, and wherein automatically adjusting the applied signal includes applying the electrical signal at a second time in response to detecting an ejection fraction less than the target ejection fraction threshold.


Still a further representative example of a system for treating congestive heart failure in a patient in accordance with the present technology includes an electrical signal generator having a computer readable storage medium, and an implantable signal delivery element coupled to the signal generator. The signal generator can be configured to be positioned proximate an epicardial fat pad of the patient and apply an electrical signal having a frequency of from about 1 kHz to about 100 kHz to neural tissue proximate and/or within the epicardial fat pad. In some embodiments of the system, the computer-readable storage medium has instructions that, when executed, determine an ejection fraction of the patient's heart in real-time and adjust the signal applied by the signal delivery element in response to the determined ejection fraction. In a particular embodiment, the system further comprises a sensor in communication with the computer-readable storage medium. In at least some of such embodiments, the sensor is configured to detect a physiological parameter of the patient, and the instructions, when executed, calculate the ejection fraction based on the physiological parameter. In a certain embodiment of the system, the signal generator is an implantable signal generator. In further embodiments of the system, the instructions, when executed, and in response to a determined ejection fraction greater than or equal to a predetermined target threshold, cease to apply the electrical signal. In these and other embodiments, the instructions, when executed, and in response to a determined ejection fraction less than or equal to a predetermined target threshold, start application of the electrical signal and/or in response to a determined ejection fraction less than or equal to a predetermined target threshold, increase at least one of an amplitude or a pulse width of the electrical signal. In a representative embodiment of the system, the signal delivery element is configured to be positioned within a coronary blood vessel of the patient.


From the foregoing, it will be appreciated that specific embodiments of the disclosed technology have been described herein for purposes of illustration, but that various modifications may be made without deviating from the technology. For example, in some embodiments the system 101 (FIG. 2A) can be configured to deliver pacing signals to the heart. In such embodiments, for example, the system 101 can include a single signal generator configured to transmit pacing signals and modulating signals, or the system 101 can include a modulating signal generator (e.g., signal generator 102 (FIG. 2A) and a separate pacing signal generator (e.g., external or implantable). In those embodiments having a single signal generator configured to transmit pacing and modulating signals, the system 101 can include one or more signal delivery element(s) configured to deliver pacing signals, modulating signals, or both.


Certain aspects of the technology described in the context of particular embodiments may be combined or eliminated in other embodiments. For example, in some embodiments the signal generator 102 (FIG. 2A) is configured to only transmit LF or HF signals in calibration mode, and in other embodiments the signal generator 102 may not include a calibration mode. Further, while advantages associated with certain embodiments of the disclosed technology have been described in the context of those embodiments, other embodiments may also exhibit such advantages, and not all embodiments need necessarily exhibit such advantages to fall within the scope of the technology. Accordingly, the disclosure and associated technology can encompass other embodiments not expressly shown or described herein.


To the extent any materials incorporated herein by reference conflict with the present disclosure, the present disclosure controls.

Claims
  • 1. A method for treating congestive heart failure in a patient, comprising: applying an electrical signal to the patient via a treatment system to excite neural tissue proximate and/or within an epicardial fat pad of the patient's heart wherein the treatment system includes a signal delivery element positioned at the epicardial fat pad of the patient's heart, the electrical signal having a frequency in a range of from about 1 kHz to about 100 kHz;automatically detecting at least one physiological parameter of the patient via one or more sensing elements;based on the detected parameter, automatically determining an ejection fraction indicator that is at least one of an ejection fraction of the patient's heart and a correlate of the ejection fraction; andautomatically adjusting the applied signal based on the determined ejection fraction indicator.
  • 2. The method of claim 1 wherein automatically adjusting the applied signal includes stopping the application of the applied signal in response to detecting an ejection fraction indicator greater than or equal to a target ejection fraction threshold.
  • 3. The method of claim 1 wherein applying the electrical signal occurs at a first time, and wherein automatically adjusting the applied signal includes applying the electrical signal at a second time in response to detecting an ejection fraction indicator less than the target ejection fraction threshold.
  • 4. The method of claim 1 wherein automatically adjusting the applied signal includes increasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to detecting an ejection fraction indicator less than a target ejection fraction threshold.
  • 5. The method of claim 1 wherein automatically adjusting the applied signal includes decreasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to detecting an ejection fraction indicator greater than or equal to a target ejection fraction threshold.
  • 6. The method of claim 1 wherein: automatically detecting a physiological parameter includes automatically detecting the patient's heart rate; andautomatically adjusting the applied signal includes increasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to the increase in the patient's heart rate.
  • 7. The method of claim 1 wherein applying the electrical signal includes applying the signal to the patient via a lead positioned at or proximate to the atrial-ventricular fat pads of the patient's heart.
  • 8. The method of claim 1 wherein applying the electrical signal includes applying the signal with a pulse width less than or equal to 1/(2×the frequency of the signal).
  • 9. The method of claim 1 wherein the treatment system includes an implantable treatment system.
  • 10. The method of claim 1 wherein the at least one detected physiological parameter includes at least one of the patient's heart rate, the patient's blood pressure, and the patient's blood flow rate.
  • 11. A method for treating congestive heart failure in a patient, comprising: applying an electrical signal to the patient via a treatment system to increase a contraction strength of a left ventricle and/or a right ventricle of the patient's heart, wherein the treatment system includes a signal delivery element positioned at an epicardial fat pad of the patient's heart, and wherein the electrical signal has a frequency in a range of from about 1 kHz to about 100 kHz;automatically detecting at least one physiological parameter of the patient via one or more sensing elements;based on the detected parameter, automatically determining an ejection fraction indicator that is at least one of an ejection fraction of the patient's heart and a correlate of the ejection fraction; andautomatically adjusting the applied signal based on the determined ejection fraction indicator.
  • 12. The method of claim 11 wherein applying the electric signal increases the contraction strength of the left ventricle.
  • 13. The method of claim 11 wherein applying the electric signal increases the contraction strength of the right ventricle.
  • 14. The method of claim 11 wherein automatically adjusting the applied signal includes stopping the application of the applied signal in response to detecting an ejection fraction indicator greater than or equal to a target ejection fraction threshold.
  • 15. The method of claim 11 wherein applying the electrical signal occurs at a first time, and wherein automatically adjusting the applied signal includes applying the electrical signal at a second time in response to detecting an ejection fraction indicator less than the target ejection fraction threshold.
  • 16. The method of claim 11 wherein automatically adjusting the applied signal includes increasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to detecting an ejection fraction indicator less than a target ejection fraction threshold.
  • 17. The method of claim 11 wherein automatically adjusting the applied signal includes decreasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to detecting an ejection fraction indicator greater than or equal to a target ejection fraction threshold.
  • 18. The method of claim 11 wherein: automatically detecting a physiological parameter includes automatically detecting the patient's heart rate; andautomatically adjusting the applied signal includes increasing at least one of an amplitude of the applied signal and a pulse width of the applied signal in response to the increase in the patient's heart rate.
  • 19. The method of claim 11 wherein applying the electrical signal includes applying the signal to the patient via a lead positioned at or proximate to the atrial-ventricular fat pads of the patient's heart.
  • 20. The method of claim 11 wherein applying the electrical signal includes applying the signal with a pulse width less than or equal to 1/(2×the frequency of the signal).
  • 21. The method of claim 11 wherein the treatment system includes an implantable treatment system.
  • 22. The method of claim 11 wherein the at least one detected physiological parameter includes at least one of the patient's heart rate, the patient's blood pressure, and the patient's blood flow rate.
CROSS-REFERENCE TO RELATED APPLICATION

The present application is a division of U.S. patent Application Ser. No. 15/414,561 filed Jan. 24, 2017, which claims priority to U.S. Provisional Application No. 62/286,892, filed Jan. 25, 2016, and is incorporated herein by reference.

US Referenced Citations (499)
Number Name Date Kind
1597061 Cultra Aug 1926 A
3195540 Waller Jul 1965 A
3724467 Avery et al. Apr 1973 A
3727616 Lenzkes Apr 1973 A
3817254 Maurer Jun 1974 A
3822708 Zilber Jul 1974 A
3893463 Williams Jul 1975 A
4014347 Halleck et al. Mar 1977 A
4023574 Nemec May 1977 A
4055190 Tany et al. Oct 1977 A
4148321 Wyss et al. Apr 1979 A
4379462 Borkan et al. Apr 1983 A
4414986 Dickhudt et al. Nov 1983 A
4535777 Castel Aug 1985 A
4541432 Molina-Negro et al. Sep 1985 A
4608985 Crish et al. Sep 1986 A
4612934 Borkan et al. Sep 1986 A
4649935 Charmillot et al. Mar 1987 A
4735204 Sussman et al. Apr 1988 A
4764132 Stutz, Jr. Aug 1988 A
4793353 Borkan et al. Dec 1988 A
4841973 Stecker Jun 1989 A
RE33420 Sussman et al. Nov 1990 E
5002053 Garcia-Rill Mar 1991 A
5335657 Terry, Jr. et al. Aug 1994 A
5354320 Schaldach et al. Oct 1994 A
5514175 Kim et al. May 1996 A
5540734 Zabara Jul 1996 A
5562717 Tippey Oct 1996 A
5643330 Holsheimer et al. Jul 1997 A
5716377 Rise et al. Feb 1998 A
5755758 Wolozko May 1998 A
5776170 MacDonald et al. Jul 1998 A
5830151 Hadzic et al. Nov 1998 A
5853373 Griffith et al. Dec 1998 A
5893883 Torgerson et al. Apr 1999 A
5938690 Law Aug 1999 A
5983141 Sluijter et al. Nov 1999 A
5995872 Bourgeois Nov 1999 A
6002964 Feler et al. Dec 1999 A
6014588 Fitz Jan 2000 A
6027456 Feler et al. Feb 2000 A
6049701 Sparksman Apr 2000 A
6161044 Silverstone Dec 2000 A
6161048 Sluijter et al. Dec 2000 A
6167311 Rezai Dec 2000 A
6176242 Rise Jan 2001 B1
6233488 Hess May 2001 B1
6238423 Bardy May 2001 B1
6246912 Sluijter et al. Jun 2001 B1
6319241 King et al. Nov 2001 B1
6341236 Osorio et al. Jan 2002 B1
6356786 Rezai et al. Mar 2002 B1
6366814 Boveja Apr 2002 B1
6393325 Mann et al. May 2002 B1
6397108 Camps et al. May 2002 B1
6405079 Ansarinia Jun 2002 B1
6421566 Holsheimer Jul 2002 B1
6440090 Schallhorn Aug 2002 B1
6473644 Terry, Jr. et al. Oct 2002 B1
6505078 King et al. Jan 2003 B1
6510347 Borkan Jan 2003 B2
6516227 Meadows et al. Feb 2003 B1
6526318 Ansarinia Feb 2003 B1
6571127 Ben-Haim et al. May 2003 B1
6584358 Carter et al. Jun 2003 B2
6587724 Mann Jul 2003 B2
6609030 Rezai et al. Aug 2003 B1
6622048 Mann et al. Sep 2003 B1
6659968 McClure Dec 2003 B1
6662051 Eraker et al. Dec 2003 B1
6714822 King et al. Mar 2004 B2
6721603 Zabara et al. Apr 2004 B2
6795737 Gielen et al. Sep 2004 B2
6856315 Eberlein Feb 2005 B2
6871090 He et al. Mar 2005 B1
6871099 Whitehurst et al. Mar 2005 B1
6885888 Rezai Apr 2005 B2
6907293 Grill et al. Jun 2005 B2
6907295 Gross et al. Jun 2005 B2
6923784 Stein Aug 2005 B2
6928230 Squibbs Aug 2005 B2
6928320 King Aug 2005 B2
6950707 Whitehurst Sep 2005 B2
6968237 Doan et al. Nov 2005 B2
6990376 Tanagho et al. Jan 2006 B2
7024246 Acosta et al. Apr 2006 B2
7047079 Erickson May 2006 B2
7054686 MacDonald May 2006 B2
7082333 Bauhahn et al. Jul 2006 B1
7117034 Kronberg Oct 2006 B2
7146224 King Dec 2006 B2
7149574 Yun et al. Dec 2006 B2
7162304 Bradley Jan 2007 B1
7167750 Knudson et al. Jan 2007 B2
7174215 Bradley Feb 2007 B2
7177702 Wallace et al. Feb 2007 B2
7180760 Varrichio et al. Feb 2007 B2
7206640 Overstreet Apr 2007 B1
7212865 Cory May 2007 B2
7225035 Brabec et al. May 2007 B2
7236822 Dobak, III Jun 2007 B2
7236830 Gliner Jun 2007 B2
7239912 Dobak, III Jul 2007 B2
7252090 Goetz Aug 2007 B2
7260436 Kilgore et al. Aug 2007 B2
7266412 Stypulkowski Sep 2007 B2
7288062 Spiegel Oct 2007 B2
7313440 Miesel Dec 2007 B2
7324852 Barolat et al. Jan 2008 B2
7326181 Katims Feb 2008 B2
7333857 Campbell Feb 2008 B2
7337005 Kim et al. Feb 2008 B2
7346398 Gross et al. Mar 2008 B2
7349743 Tadlock Mar 2008 B2
RE40279 Sluijter et al. Apr 2008 E
7359751 Erickson et al. Apr 2008 B1
7363076 Yun et al. Apr 2008 B2
7389145 Kilgore et al. Jun 2008 B2
7393351 Woloszko et al. Jul 2008 B2
7463927 Chaouat Dec 2008 B1
7483747 Gliner et al. Jan 2009 B2
7493172 Whitehurst et al. Feb 2009 B2
7502652 Gaunt et al. Mar 2009 B2
7571007 Erickson et al. Aug 2009 B2
7580753 Kim et al. Aug 2009 B2
7599737 Yomtov et al. Oct 2009 B2
7634317 Ben-David et al. Dec 2009 B2
7676269 Yun et al. Mar 2010 B2
7689276 Dobak Mar 2010 B2
7689289 King Mar 2010 B2
7715915 Rye et al. May 2010 B1
7734340 De Ridder Jun 2010 B2
7734355 Cohen et al. Jun 2010 B2
7742810 Moffitt et al. Jun 2010 B2
7761170 Kaplan et al. Jul 2010 B2
7778704 Rezai Aug 2010 B2
7792591 Rooney et al. Sep 2010 B2
7801604 Brockway et al. Sep 2010 B2
7813803 Heruth et al. Oct 2010 B2
7826901 Lee et al. Nov 2010 B2
7853322 Bourget et al. Dec 2010 B2
7860570 Whitehurst et al. Dec 2010 B2
7865243 Whitehurst et al. Jan 2011 B1
7877136 Moffitt et al. Jan 2011 B1
7877146 Rezai Jan 2011 B2
7881805 Bradley Feb 2011 B2
7890176 Jaax et al. Feb 2011 B2
7890182 Parramon et al. Feb 2011 B2
7914452 Hartley et al. Mar 2011 B2
7933654 Merfeld et al. Apr 2011 B2
7937145 Dobak May 2011 B2
8000794 Lozano Aug 2011 B2
8010198 Libbus et al. Aug 2011 B2
8027718 Spinner et al. Sep 2011 B2
8046075 Rezai Oct 2011 B2
8060208 Kilgore et al. Nov 2011 B2
8082039 Kim et al. Dec 2011 B2
8150531 Skelton Apr 2012 B2
8170658 Dacey et al. May 2012 B2
8170675 Alataris et al. May 2012 B2
8209021 Alataris et al. Jun 2012 B2
8209028 Skelton et al. Jun 2012 B2
8224453 De Ridder Jul 2012 B2
8224459 Pianca et al. Jul 2012 B1
8255048 Dal Molin et al. Aug 2012 B2
8280515 Greenspan et al. Oct 2012 B2
8301241 Ternes et al. Oct 2012 B2
8340775 Cullen et al. Dec 2012 B1
8355792 Alataris et al. Jan 2013 B2
8359102 Alataris et al. Jan 2013 B2
8359103 Alataris et al. Jan 2013 B2
8364271 De Ridder Jan 2013 B2
8364273 De Ridder Jan 2013 B2
2622601 Alataris et al. Mar 2013 A1
8396559 Alataris et al. Mar 2013 B2
8412338 Faltys Apr 2013 B2
8423147 Alataris et al. Apr 2013 B2
8428735 Littlewood et al. Apr 2013 B2
8428748 Alataris et al. Apr 2013 B2
8467875 Bennett et al. Jun 2013 B2
8483830 Tweden Jul 2013 B2
8569935 Kosierkiewicz Oct 2013 B1
8577458 Libbus et al. Nov 2013 B1
8612018 Gillbe Dec 2013 B2
8649874 Alataris et al. Feb 2014 B2
8666506 King Mar 2014 B2
8688212 Libbus et al. Apr 2014 B2
8691877 Yun et al. Apr 2014 B2
8712533 Alataris Apr 2014 B2
8751009 Wacnik Jun 2014 B2
8768469 Tweden et al. Jul 2014 B2
8768472 Fang Jul 2014 B2
8805512 Greiner et al. Aug 2014 B1
8825164 Tweden et al. Sep 2014 B2
8825166 John Sep 2014 B2
8886326 Alataris et al. Nov 2014 B2
8886328 Alataris et al. Nov 2014 B2
8892209 Alataris et al. Nov 2014 B2
8918172 Moffitt et al. Dec 2014 B2
8918190 Libbus et al. Dec 2014 B2
8918191 Libbus et al. Dec 2014 B2
8923964 Libbus et al. Dec 2014 B2
8923990 Libbus et al. Dec 2014 B2
8965521 Birkholz et al. Feb 2015 B2
8996125 Greiner et al. Mar 2015 B2
9002457 Hamann et al. Apr 2015 B2
9002459 Lee et al. Apr 2015 B2
9026214 Ternes et al. May 2015 B2
9026215 Rossing May 2015 B2
9026226 Gerber et al. May 2015 B2
9067076 Nolan et al. Jun 2015 B2
9101770 Arcot-Krishnamurthy et al. Aug 2015 B2
9126044 Kramer et al. Sep 2015 B2
9132272 Alves et al. Sep 2015 B2
9180298 Alataris et al. Nov 2015 B2
9205258 Simon et al. Dec 2015 B2
9211410 Levine et al. Dec 2015 B2
9295840 Thacker Mar 2016 B1
9308370 Lima et al. Apr 2016 B2
9327121 Bertram May 2016 B2
9327127 Alataris et al. May 2016 B2
9370659 Franke et al. Jun 2016 B2
9381356 Parker Jul 2016 B2
9403007 Moekelke et al. Aug 2016 B2
9421355 Colborn Aug 2016 B2
9440074 Ternes et al. Sep 2016 B2
9480846 Strother Nov 2016 B2
9533153 Libbus et al. Jan 2017 B2
9561366 Wei et al. Feb 2017 B2
9561370 Rezai Feb 2017 B2
9572983 Levine et al. Feb 2017 B2
9694183 Grandhe Jul 2017 B2
9724509 Su et al. Aug 2017 B2
9724511 Wei et al. Aug 2017 B2
9833614 Gliner Dec 2017 B1
9895532 Kaula et al. Feb 2018 B2
9895539 Heit et al. Feb 2018 B1
9913980 Ostroff et al. Mar 2018 B2
9950173 Doan Apr 2018 B2
9968732 Drew et al. May 2018 B2
10188856 Libbus et al. Jan 2019 B1
10207110 Gelfand Feb 2019 B1
10220205 Bhadra et al. Mar 2019 B2
10328264 Hamann et al. Jun 2019 B2
10485975 Greiner et al. Nov 2019 B2
10493275 Alataris Dec 2019 B2
10561845 Giftakis et al. Feb 2020 B2
10632300 Wagenbach et al. Apr 2020 B2
10675468 Torgerson Jun 2020 B2
10898714 Libbus et al. Jan 2021 B2
11045649 Wei et al. Jun 2021 B2
20020055779 Andrews May 2002 A1
20020087201 Firlik et al. Jul 2002 A1
20020128700 Cross Sep 2002 A1
20030100931 Mullett May 2003 A1
20030120323 Meadows et al. Jun 2003 A1
20030135248 Stypulkowski Jul 2003 A1
20040015202 Chandler et al. Jan 2004 A1
20040034394 Woods et al. Feb 2004 A1
20040039425 Greenwood-Van Meerveld Feb 2004 A1
20040059395 North et al. Mar 2004 A1
20040073273 Gluckman et al. Apr 2004 A1
20040093093 Andrews May 2004 A1
20040116977 Finch et al. Jun 2004 A1
20040122477 Whitehorse Jun 2004 A1
20040158298 Gliner Aug 2004 A1
20040162590 Whitehurst et al. Aug 2004 A1
20040167584 Carroll et al. Aug 2004 A1
20040186532 Tadlock Sep 2004 A1
20040193228 Gerber Sep 2004 A1
20040210270 Erickson Oct 2004 A1
20040210271 Campen et al. Oct 2004 A1
20040267330 Lee et al. Dec 2004 A1
20050021104 DiLorenzo Jan 2005 A1
20050033381 Carter et al. Feb 2005 A1
20050038489 Grill Feb 2005 A1
20050060001 Singhal et al. Mar 2005 A1
20050070982 Heruth et al. Mar 2005 A1
20050113877 Spinelli et al. May 2005 A1
20050113878 Gerber May 2005 A1
20050113882 Cameron et al. May 2005 A1
20050119713 Whitehurst et al. Jun 2005 A1
20050143783 Boveja Jun 2005 A1
20050143789 Whitehurst et al. Jun 2005 A1
20050149148 King Jul 2005 A1
20050153885 Yun et al. Jul 2005 A1
20050154435 Stern et al. Jul 2005 A1
20050222641 Pless Oct 2005 A1
20050240241 Yun et al. Oct 2005 A1
20050245978 Varrichio et al. Nov 2005 A1
20050245987 Woods Nov 2005 A1
20050246006 Daniels Nov 2005 A1
20050267545 Cory Dec 2005 A1
20050278000 Strother et al. Dec 2005 A1
20050288721 Girouard Dec 2005 A1
20060004422 De Ridder Jan 2006 A1
20060009820 Royle Jan 2006 A1
20060015153 Gliner et al. Jan 2006 A1
20060030895 Simon et al. Feb 2006 A1
20060041285 Johnson Feb 2006 A1
20060074456 Pyles et al. Apr 2006 A1
20060079937 King et al. Apr 2006 A1
20060095088 De Ridder May 2006 A1
20060100671 Ridder May 2006 A1
20060149337 John Jul 2006 A1
20060161219 Mock et al. Jul 2006 A1
20060161235 King Jul 2006 A1
20060167525 King Jul 2006 A1
20060168805 Hegland et al. Aug 2006 A1
20060190044 Libbus et al. Aug 2006 A1
20060190048 Gerber Aug 2006 A1
20060224187 Bradley et al. Oct 2006 A1
20060229687 Goetz et al. Oct 2006 A1
20060253182 King Nov 2006 A1
20060271108 Libbus et al. Nov 2006 A1
20070021803 Deem et al. Jan 2007 A1
20070032827 Katims Feb 2007 A1
20070039625 Heruth et al. Feb 2007 A1
20070043400 Donders et al. Feb 2007 A1
20070049988 Carbunaru Mar 2007 A1
20070049991 Klostermann et al. Mar 2007 A1
20070060954 Cameron et al. Mar 2007 A1
20070066997 He et al. Mar 2007 A1
20070073353 Rooney et al. Mar 2007 A1
20070073354 Knudson et al. Mar 2007 A1
20070083240 Peterson et al. Apr 2007 A1
20070100388 Gerber May 2007 A1
20070106337 Errico et al. May 2007 A1
20070106342 Schumann May 2007 A1
20070150029 Bourget et al. Jun 2007 A1
20070150034 Rooney et al. Jun 2007 A1
20070156183 Rhodes Jul 2007 A1
20070156201 Rossing Jul 2007 A1
20070167992 Carley Jul 2007 A1
20070179559 Giftakis et al. Aug 2007 A1
20070179579 Feler et al. Aug 2007 A1
20070191902 Errico Aug 2007 A1
20070203537 Goetz et al. Aug 2007 A1
20070213789 Nolan et al. Sep 2007 A1
20070239226 Overstreet Oct 2007 A1
20070244522 Overstreet Oct 2007 A1
20070255118 Miesel et al. Nov 2007 A1
20070265681 Gerber et al. Nov 2007 A1
20070293893 Stolen et al. Dec 2007 A1
20070299482 Littlewood et al. Dec 2007 A1
20080033511 Dobak Feb 2008 A1
20080065158 Ben-Ezra Mar 2008 A1
20080086036 Hartley Apr 2008 A1
20080097539 Belalcazar Apr 2008 A1
20080103570 Gerber May 2008 A1
20080167697 Johnson Jul 2008 A1
20080183259 Bly et al. Jul 2008 A1
20080234791 Arle et al. Sep 2008 A1
20080269854 Hegland et al. Oct 2008 A1
20080281381 Gerber et al. Nov 2008 A1
20080300449 Gerber Dec 2008 A1
20080319511 Pless Dec 2008 A1
20090018617 Skelton et al. Jan 2009 A1
20090024187 Erickson et al. Jan 2009 A1
20090036945 Chancellor et al. Feb 2009 A1
20090054962 Lefler et al. Feb 2009 A1
20090069803 Starkebaum Mar 2009 A1
20090076565 Surwit Mar 2009 A1
20090083070 Giftakis Mar 2009 A1
20090112282 Kast et al. Apr 2009 A1
20090118777 Iki May 2009 A1
20090125079 Armstrong et al. May 2009 A1
20090132010 Kronberg May 2009 A1
20090132016 Putz May 2009 A1
20090157141 Chiao et al. Jun 2009 A1
20090157149 Wahlgren et al. Jun 2009 A1
20090196472 Goetz et al. Aug 2009 A1
20090198306 Goetz et al. Aug 2009 A1
20090204173 Fang et al. Aug 2009 A1
20090204192 Carlton et al. Aug 2009 A1
20090281595 King et al. Nov 2009 A1
20090287274 De Ridder Nov 2009 A1
20090287279 Parramon et al. Nov 2009 A1
20090326611 Gillbe Dec 2009 A1
20100010567 Deem et al. Jan 2010 A1
20100016929 Prochazka Jan 2010 A1
20100036454 Bennett et al. Feb 2010 A1
20100042193 Slavin Feb 2010 A1
20100057178 Simon Mar 2010 A1
20100094375 Donders et al. Apr 2010 A1
20100125313 Lee et al. May 2010 A1
20100137938 Kishawi et al. Jun 2010 A1
20100152817 Gillbe Jun 2010 A1
20100191307 Fang et al. Jul 2010 A1
20100241190 Kilgore et al. Sep 2010 A1
20100249875 Kishawi et al. Sep 2010 A1
20100256696 Schleicher et al. Oct 2010 A1
20100274312 Alataris et al. Oct 2010 A1
20100274314 Alataris et al. Oct 2010 A1
20100274315 Alataris et al. Oct 2010 A1
20100274316 Alataris et al. Oct 2010 A1
20100274317 Parker et al. Oct 2010 A1
20100274318 Walker et al. Oct 2010 A1
20100274320 Torgerson Oct 2010 A1
20100274326 Chitre et al. Oct 2010 A1
20100324630 Lee et al. Dec 2010 A1
20100331916 Parramon et al. Dec 2010 A1
20110009919 Carbunaru et al. Jan 2011 A1
20110009923 Lee Jan 2011 A1
20110009927 Parker et al. Jan 2011 A1
20110022114 Navarro Jan 2011 A1
20110040291 Weissenrieder-Norlin et al. Feb 2011 A1
20110184301 Holmstrom et al. Jul 2011 A1
20110184486 De Ridder Jul 2011 A1
20110184488 De Ridder Jul 2011 A1
20110201977 Tass Aug 2011 A1
20110276107 Simon et al. Nov 2011 A1
20110282412 Glukhovsky et al. Nov 2011 A1
20120010680 Wei Jan 2012 A1
20120016437 Alataris et al. Jan 2012 A1
20120016438 Alataris et al. Jan 2012 A1
20120016439 Alataris et al. Jan 2012 A1
20120089200 Ranu et al. Apr 2012 A1
20120150252 Feldman et al. Jun 2012 A1
20120203304 Alataris et al. Aug 2012 A1
20120209349 Alataris et al. Aug 2012 A1
20120277833 Gerber et al. Nov 2012 A1
20120283797 De Ridder Nov 2012 A1
20130006325 Woods et al. Jan 2013 A1
20130023951 Greenspan Jan 2013 A1
20130041425 Fang et al. Feb 2013 A1
20130066411 Thacker et al. Mar 2013 A1
20130079841 Su Mar 2013 A1
20130096643 Fang et al. Apr 2013 A1
20130096644 Fang et al. Apr 2013 A1
20130110196 Alataris et al. May 2013 A1
20130123879 Alataris et al. May 2013 A1
20130172955 Alataris Jul 2013 A1
20130204173 Kelly et al. Aug 2013 A1
20130204320 Alataris et al. Aug 2013 A1
20130204321 Alataris et al. Aug 2013 A1
20130204322 Alataris et al. Aug 2013 A1
20130204323 Thacker et al. Aug 2013 A1
20130204324 Thacker Aug 2013 A1
20130204338 Alataris et al. Aug 2013 A1
20130211487 Fang et al. Aug 2013 A1
20130237948 Donders Sep 2013 A1
20130238047 Libbus et al. Sep 2013 A1
20130261695 Thacker et al. Oct 2013 A1
20130261696 Alataris et al. Oct 2013 A1
20130261697 Alataris et al. Oct 2013 A1
20130289659 Nelson Oct 2013 A1
20140031896 Alataris et al. Jan 2014 A1
20140142656 Alataris et al. May 2014 A1
20140142657 Alataris et al. May 2014 A1
20140142658 Alataris et al. May 2014 A1
20140142659 Alataris et al. May 2014 A1
20140142673 Alataris et al. May 2014 A1
20140296936 Alataris et al. Oct 2014 A1
20140316484 Edgerton Oct 2014 A1
20140343622 Alataris et al. Nov 2014 A1
20140379044 Walker et al. Dec 2014 A1
20150012079 Goroszeniuk et al. Jan 2015 A1
20150018896 Alataris et al. Jan 2015 A1
20150032181 Baynham Jan 2015 A1
20150032182 Alataris et al. Jan 2015 A1
20150032183 Alataris et al. Jan 2015 A1
20150039040 Cowan et al. Feb 2015 A1
20150039049 Alataris et al. Feb 2015 A1
20150039050 Alataris et al. Feb 2015 A1
20150045853 Alataris et al. Feb 2015 A1
20150045854 Alataris et al. Feb 2015 A1
20150051664 Alataris et al. Feb 2015 A1
20150051665 Hershey et al. Feb 2015 A1
20150073510 Perryman Mar 2015 A1
20150217116 Parramon et al. Aug 2015 A1
20150343220 Alataris et al. Dec 2015 A1
20160114165 Levine et al. Apr 2016 A1
20160121119 Alataris et al. May 2016 A1
20160256689 Vallejo et al. Sep 2016 A1
20160263376 Yoo et al. Sep 2016 A1
20160287872 Alataris et al. Oct 2016 A1
20160287873 Alataris et al. Oct 2016 A1
20160287874 Alataris et al. Oct 2016 A1
20160287875 Thacker et al. Oct 2016 A1
20160287888 Alataris et al. Oct 2016 A1
20160303374 Alataris et al. Oct 2016 A1
20160339239 Yoo et al. Nov 2016 A1
20170050021 Cosman, Sr. Feb 2017 A1
20170087369 Bokil Mar 2017 A1
20170095669 Libbus et al. Apr 2017 A1
20170165485 Sullivan et al. Jun 2017 A1
20170209699 Thacker Jul 2017 A1
20170216602 Waataja et al. Aug 2017 A1
20170239470 Wei et al. Aug 2017 A1
20170274209 Edgerton Sep 2017 A1
20170348526 Southwell Dec 2017 A1
20180110561 Levin Apr 2018 A1
20180256906 Pivonka Sep 2018 A1
20180272132 Subbaroyan Sep 2018 A1
20190290900 Esteller Sep 2019 A1
20190321641 Baldoni Oct 2019 A1
20200139138 Sit May 2020 A1
Foreign Referenced Citations (44)
Number Date Country
101175530 May 2008 CN
10318071 Nov 2004 DE
1181947 Feb 2002 EP
2243511 Oct 2010 EP
2448633 May 2012 EP
2630984 Aug 2013 EP
2449546 Nov 2008 GB
2002200179 Jul 2002 JP
2007528774 Oct 2007 JP
2008500086 Jan 2008 JP
1512625 Oct 1989 SU
1690727 Nov 1991 SU
WO-02065896 Aug 2002 WO
WO-02092165 Nov 2002 WO
WO-03015863 Feb 2003 WO
WO-03066154 Aug 2003 WO
WO-2004007018 Jan 2004 WO
WO-2005115532 Dec 2005 WO
WO-2006007048 Jan 2006 WO
WO-2006057734 Jun 2006 WO
WO-2006063458 Jun 2006 WO
WO-2006084635 Aug 2006 WO
WO-2006119046 Nov 2006 WO
WO-2007035925 Mar 2007 WO
WO-2007082382 Jul 2007 WO
WO-2007103324 Sep 2007 WO
WO-2007117232 Oct 2007 WO
WO-2008039982 Apr 2008 WO
WO-2008045434 Apr 2008 WO
WO-2008106174 Sep 2008 WO
WO-2008121891 Oct 2008 WO
WO-2008140940 Nov 2008 WO
WO-2008142402 Nov 2008 WO
WO-2008153726 Dec 2008 WO
WO-2009018518 Feb 2009 WO
WO-2009061813 May 2009 WO
WO-2009097224 Aug 2009 WO
WO-20090129329 Oct 2009 WO
WO-2010111358 Sep 2010 WO
WO-2011014570 Feb 2011 WO
WO-2012154985 Nov 2012 WO
WO-2016154091 Sep 2016 WO
WO-2017044904 Mar 2017 WO
WO-2017146658 Aug 2017 WO
Non-Patent Literature Citations (284)
Entry
Cadish, “Stimulation Latency and Comparison of Cycling Regimens in Women Using Sacral Neuromodulation,” Feb. 1, 2016, 4 pages.
Siegel et al., “Prospective Randomized Feasibility Study Assessing the Effect of Cyclic Sacral Neuromodulation on Urinary Urge Incontinence in Women,” Female Pelvic Med Reconstr Surg. 2018, 5 pages.
European Extended Search Report for European Patent Application No. 17744784.4, Applicant: Nevro Corporation, dated Oct. 8, 2019, 9 pages.
International Search Report and Written Opinion for International Patent Application No. PCT/2017/014784, dated May 1, 2017, 13 pages.
U.S. Appl. No. 14/534,769, filed Nov. 6, 2014, Park.
U.S. Appl. No. 15/606,869, filed May 26, 2017, Lee.
Abejon et al., “Is Impedance a Parameter to be Taken into Account in Spinal Cord Stimulation?” Pain Physician, 2007, 8 pages.
Agnew et al., “Considerations for safety with chronically implanted nerve electrodes,” Epilepsia, 31.s2, 1990, 6 pages.
Al-Kaisy et al., “10 kHz High-Frequency Spinal Cord Stimulation for Chronic Axial Low Back Pain in Patients With No History of Spinal Surgery: A Preliminary, Prospective, Open Label and Proof-of-Concept Study,” Neuromodulation: Technology at the Neural Interface, 2016, 8 pages.
Al-Kaisy et al., “Prospective, Randomized, Sham-Control, Double Blind, Crossover Trial of Subthreshold Spinal Cord Stimulation at Various Kilohertz Frequencies in Subjects Suffering from Failed Back Surgery Syndrome,” International Neuromodulation Society, 2018, 9 pages.
Al-Kaisy et al., “The Use of 10-Kilohertz Spinal Cord Stimulation in a Cohort of Patients with Chronic Neuropathic Limb Pain Refractory to Medical Management,” Neuromodulation Technology at the Neural, Interface, 2015, 6 pages.
Al-Kaisy et al., Poster: “High-Frequency Spinal Cord Stimulation at 10 kHz for the Treatment of Chronic Back Pain Patients without Prior Back Surgery,” 1 page.
Alo et al., “Factors Affecting Impedance of Percutaneous Leads in Spinal Cord Stimulation,” International Neuromodulation Society, vol. 9, No. 2, 2006, 8 pages.
Alo et al., “New Trends in Neuromodulation for the Management of Neuropathic Pain,” Neurosurgery, vol. 50, No. 4, Apr. 2002, 15 pages.
Bara et al., Poster re: High Frequency Spinal Cord Stimulation for Dominant Back Pain—1 year follow up, 2013, 1 page.
Bennett et al., “Spinal Cord Stimulation for Complex regional pain syndrome I [RSD]: a Retrospective Multicenter Experience from 1995 to 1998 of 101 patients.” Neuromodulation, vol. 2, No. 3, 1999, 9 pages.
BionicNAVIGATOR Software Guide, Part MP9055261-001, 2004, 58 pages.
Bronstein et al., “The Rationale Driving the Evolution of Deep Brain Stimulation of Constant-Current Devices,” International Neuromodulation Society 2014, 5 pages.
Broseta et al., “High-Frequency cervical spinal cord stimulation in spasticity and motor disorders,” Advances in Stereotactic and Functional Neurosurgery 7. Springer Verlag 1987, 6 pages.
Cahana et al., “Acute Differential Modulation of Synaptic Transmission and Cell Survival During Exposure to Pulsed and Continuous Radiofrequency Energy,” Journal of Pain, vol. 4, No. 4, May 2003, 6 pages.
Cameron et al., “Effects of posture on stimulation parameters in spinal cord stimulation,” Neuromodulation: Technology at the Neural Interface 1.4, 1998, 8 pages.
Camilleri et al., “Intra-abdominal vagal blocking (VBLOC therapy): clinical results with a new implantable medical device,” Surgery 143.6, 2008, 9 pages.
Crapanzano et al., “High Frequency Spinal Cord Stimulation for Complex Regional Pain Syndrome: A Case Report,” Pain Physician, 2017, 6 pages.
Cuellar et al., “Effect of High Frequency Alternating Current on Spinal Afferent Nociceptive Transmission,” Neuromodulation: Technology at the Neural Interface, 2012, 10 pages.
De Carolis et al., Poster: “Efficacy of Spinal Cord Stimulation (SCS) in the Treatment of Failed Back Surgery Syndrome (FBSS): a comparative study,” 2013, 1 page.
De Ridder et al., U.S. Appl. No. 60/895,061, Applicant: Dirk De Ridder, filed Mar. 15, 2007, 47 pages.
Declaration of Dr. Jonathan Miller on behalf of European Patent No. 2853285, 26 pages, May 16, 2017.
Duyvendak et al., “Spinal Cord Stimulation With a Dual Quadripolar Surgical Lead Placed in General Anesthesia is Effective in Treating Intractable Low Back and Leg Pain,” Neuromodulation: Technology at the Neural Interface, vol. 10, No. 2, 2007, 7 pages.
Geddes, “A Short History of the electrical stimulation of excitable tissue—Including Electrotherapeutic Applications,” The Physiologist, vol. 27, No. 1, Feb. 1984, 51 pages.
Gulve et al., Poster: “10kHz High Frequency Spinal Cord Stimulation: Middlesbrough Experience,” 2013, 1 page.
Higuchi et al., “Exposure of the Dorsal Root Ganglion in Rats to Pulsed Radiofrequency Currents Activates Dorsal Horn Lamina I and II Neurons,” Neurosurgery, vol. 50, No. 4, Apr. 2002, 7 pages.
House et al., “Safety and Efficacy of the House/3M Cochlear Implant in Profoundly Deaf Adults,” Otolaryngologic Clinics of North America, vol. 19, No. 2, May 1986, 12 pages.
International Neuromodulation Society 10th World Congress, Neuromodulation: Technology that Improves Patient Care, London, England, May 21-26, 2011, 385 pages.
Jacques et al., “Development of a New Implantable Bio-Telestimulator,” Surg. Neurol., vol. 13, May 1980, 2 pages.
Jezernik et al., “Electrical Stimulation for the Treatment of Bladder Dysfunction: Current Status and Future Possibilities,” Neurological Research, vol. 24, Jul. 2002, 18 pages.
Kapural et al., “Comparison of 10-kHz High Frequency and Traditional Low-Frequency Spinal Cord Stimulation for the Treatment of Chronic Back and Leg Pain: 24-Month Results From a Multicenter, Randomized, Controlled Pivotal Trial,” Neurosurgery, vol. 79, No. 5, Nov. 2016, 11 pages.
Lambru et al., “Safety and Efficacy of Cervical 10 kHz Spinal Cord Stimulation in Chronic Refractory Primary Headaches: A Retrospective Case Series,” The Journal of Headache and Pain, 2016, 8 pages.
Mavoori et al., “An Autonomous implantable computer for neural recording and stimulation in unrestrained primates,” Journal of Neuroscience Methods, 2005, 7 pages.
McCreery et al., “Charge Density and Charge Per Phase as Cofactors in Neural Injury Induced by Electrical Stimulation,” IEEE Transactions on Biomedical Engineering, vol. 37, No. 10, Oct. 1990, 6 pages.
McCreery et al., “Damage in Peripheral Nerve from Continuous Electrical Stimulation: Comparison of Two Stimulus Waveforms,” Medical and Biological Engineering and Computing, Jan. 1992, 6 pages.
McCreery et al., “Relationship between Stimulus Amplitude, Stimulus Frequency and Neural Damage During Electrical Stimulation of Sciatic Nerve of a Cat,” Medical and Biological Engineering and Computing, May 1995, 4 pages.
Medtronic—Spinal Cord Stimulation (SCS) Patient Management Guidelines for Clinicians, 1999, 114 pages.
Meyerson et al., Mechanisms of spinal cord stimulation in neuropathic pain, Neurological Research, vol. 22, Apr. 2000, 5 pages.
Miller, Jonathan, “Parameters of Spinal Cord Stimulation and Their Role in Electrical Charge Delivery: A Review,” Neuromodulation: Technology at the Neural Interface, 2016, 12 pages.
Mounaïm et al., “New Neurostimulation Strategy and Corresponding Implantable Device to Enhance Bladder Functions,” Biomedical Engineering Trends in Electronics, Communications and Software, Chapter 5, 2011, 15 pages.
Mueller et al., “The MED-EL SONATATI 100 Cochlear Implant: An evaluation of its safety in adults and children,” Acta Oto-Laryngologica, vol. 131, No. 5, 2011, 8 pages.
Nevro—Leadership Through Innovation, J. P. Morgan 36th Annual Healthcare Conference, Jan. 8, 2018, 21 pages.
Nevro—Leadership Through Innovation, J. P. Morgan 36th Annual Healthcare Conference, Jan. 24, 2019, 2 pages.
NIDCD-NIH 2011, Cochlear Implant Brochure, http://www.nidcd.nih.gov/health/hearing/pages/coch.aspx, Jun. 29, 2012, 2 pages.
North et al., “Spinal Cord Stimulation With Interleaved Pulses: A Randomized, Controlled Trial,” vol. 10, No. 4, 2007, 9 pages.
OHSIPP Summer Newsletter, The Official Newsletter for the Ohio Society of Interventional Pain Physicians, vol. 1 Ed. 2, Summer 2010, 8 pages.
Paicius et al., “Peripheral Nerve Field Stimulation for the Treatment of Chronic Low Back Pain: Preliminary Results of Long-Term Follow-up: A Case Series,” Neuromodulation: Technology at the Neural Interface, vol. 10, No. 3, 2007, 12 pages.
Precision—Physician System Handbook, Advanced Bionic Corporation, Part 9055253-0001, 2005, 92 pages.
Precision—Physician Trail Kit Insert, Advanced Bionic Corporation, Part 9055258-0001, 2005, 2 pages.
Precision Spinal Cord Stimulation—Charging System Insert, Advanced Bionic Corporation, Part 9055074-0001, 2004, 2 pages.
Precision Spinal Cord Stimulation—Charging System, Advanced Bionic Corporation, Part 9055259-0001, 2004, 2 pages.
Precision Spinal Cord Stimulation—Patient System Handbook, Advanced Bionic Corporation, Part 9055072-0001, 2004, 93 pages.
Precision Spinal Cord Stimulation—Patient Trial Journal, Advanced Bionic Corporation, Part 9055260-0001, 2004, 10 pages.
Precision Spinal Cord Stimulation—Physician Implant Manual, Advanced Bionic Corporation, Part 9055255-0001, 2005, 70 pages.
Precision Spinal Cord Stimulation—Physician Implant Manual, Advanced Bionic Corporation, Part 9055100, 2004, 62 pages.
Precision Spinal Cord Stimulation—Physician Lead Manual, Advanced Bionic Corporation, Part No. 9055183-001, May 2004, 31 pages.
Precision Spinal Cord Stimulation—Physician Lead Manual, Advanced Bionic Corporation, Part 9055095, 2004, 62 pages.
Precision Spinal Cord Stimulation—Physician Lead Manual, Advanced Bionic Corporation, Part 9055256-0001, 2005, 56 pages.
Precision Spinal Cord Stimulation—Physician Trail Handbook, Advanced Bionic Corporation, Part 9055254-0001, 2005, 66 pages.
Precision Spinal Cord Stimulation—Physician Trail Kit Model SC-7005, Part 9055066-001, Advanced Bionic Corporation, 2004, 2 pages.
Precision Spinal Cord Stimulation—Remote Control Model SC-5200, Part 9055107-001, 2004, Advanced Bionic Corporation, 2 pages.
Precision Spinal Cord Stimulation—Remote Control Model SC-5210, Advanced Bionic Corporation, Part 9055257-001, 2005, 2 pages.
Precision Spinal Cord Stimulation System—Patient System Handbook, Advanced Bionic Corporation, Part No. 9055184-001, May 2004, 86 pages.
Precision Spinal Cord Stimulation System, Patient Trial Handbook, Part 9055078, 2004, 74 pages.
Pudenz et al., “Development of an Implantable Telestimulator,” Proc. 4th Ann. Nat'l Conf. Neuroelectric Soc., Mar. 10-12, 1971, 111-12 (Wulfsohn, Norman L. and Anthony Sances, Jr. (eds.) 1971, 4 pages.
Pudenz et al., “Neural Stimulation: Clinical and Laboratory Experiences”, Surg. Neurol, 39:235-242 (1993).
Rapcan et al., Clinical Study, “High-Frequency—Spinal Cord Stimulation,” Indexed and Abstracted in Science Citation Index Expanded and in Journal Citation Reports, 2015, 3 pages.
Renew Neurostimulation System—Clinician's Manual—Advanced Neuromodulation Systems, Life Gets Better, 2000, 77 pages.
Rosenblueth et al., “The Blocking and Deblocking Effects of Alternating Currents on Nerve,” Department of Physiology in Harvard Medical School, Nov. 1938, 13 pages.
Schulman et al., “Battery Powered BION FES Network,” Proceedings of the 26th Annual Conference of the IEEE EMBS, San Francisco, CA., Sep. 1-5, 2004, 4 pages.
Sharan et al., “Evolving Patterns of Spinal Cord Stimulation in Patients Implanted for Intractable Low Back and Leg Pain,” International Neuromodulation Society, vol. 5, No. 3, 2002, 13 pages.
Shealy et al., “Dorsal col. Electrohypalgesia,” Jul. 1969, 8 pages.
Shelden et al., “Depolarization in the Treatment of Trigeminal Neuralgia,” Evaluation of Compression and Electrical Methods, Clinical Concept of Neurophysiological Mechanism, 1966, 8 pages.
Shelden et al., “Development and Clinical Capabilities of a New Implantable Biostimulator,” The American J. of Surgery, vol. 124, Aug. 1972, 6 pages.
Shelden et al., Electrical Control of Facial Pain, Am. J. of Surgery, vol. 114, Aug. 1967, 6 pages.
Shelden et al., “Electrical stimulation of the nervous system,” Surg. Neurol. vol. 4, No. 1, Jul. 1975, 6 pages.
Smet et al.,., “Successful Treatment of Low Back Pain with a Novel Neuromodulation Device,” AZ Nikolaas, 12 pages.
Smet et al., Poster: “High-Frequency Spinal Cord Stimulation at 10 kHz after Failed Traditional Spinal Cord Stimulation,” NANS, 2013, 1 page.
St. Jude Medical, “Clinician's Manual—Percutaneous Lead Kit, Models 3143, 3146, 3149, 3153, 3156, 3159, 3183, 3186, 3189,” 2016, 24 pages.
Struijk et al., “Recruitment of Dorsal Column Fibers in Spinal Cord Stimulation: Influence of Collateral Branching,” IEEE Transactions on Biomedical Engineering, vol. 39, No. 9, Sep. 1992, 10 pages.
Taylor et al., “The Cross Effectiveness of Spinal Cord Stimulation in the Treatment of Pain: A Systematic Review of the Literature,” Journal of Pain and Symptom Management, vol. 27, No. 4., Apr. 2001, 9 pages.
Thomson et al., “Effects of Rate on Analgesia in Kilohertz Frequency Spinal Cord Stimulation: Results of the PROCO Randomized Controlled Trial,” Neuromodulation: Technology at the Neural Interface, 2017, 10 pages.
Tiede et al., “Novel Spinal Cord Stimulation Parameters in Patients with Predominate Back Pain,” Neuromodulation: Technology at the Neural Interface, 2013, 6 pages.
Van Buyten et al., “High Frequency Spinal Cord Stimulation for the Treatment of Chronic Back Pain Patients: Results of a Prospective Multicenter European Clinical Study,” Neuromodulation Technology at the Neural Interface, International Neuromodulation Society, 2012, 8 pages.
Van Buyten et al., “Pain Relief for Axial Back Pain Patients,” INS Meeting Poster, 1 page.
Verrills et al., “Peripheral Nerve Field Stimulation for Chronic Pain: 100 Cases and Review of the Literature,” Pain Medicine, 2011, 11 pages.
Verrills et al., “Salvaging Failed Neuromodulation Implants with Nevro High Frequency Spinal Cord System,” NANS Poster, 2013, 1 page.
Von Korff et al., “Assessing Global Pain Severity by Self-Report in Clinical and Health Services Research,” SPINE, vol. 25, No. 24, 2000, 12 pages.
Ward et al., “Electrical Stimulation Using Kilohertz-Frequency Alternating Current,” Journal of the American Physical Therapy Association, vol. 89, No. 2, Feb. 2009, 12 pages.
Ward et al., “Variation in Motor Threshold with Frequency Using kHz Frequency Alternating Current,” Muscle and Nerve, Oct. 2001, 9 pages.
Weinberg et al., “Increasing the oscillation frequency of strong magnetic fields above 101 kHz significantly raises peripheral nerve excitation thresholds,” Medical Physics Letter, May 2012, 6 pages.
Wesselink et al., Analysis of Current Density and Related Parameters in Spinal Cord Stimulation, IEEE Transaction on Rehabilitation Engineering vol. 6, No. 2, Jun. 1998, 8 pages.
Yearwood et al., “A Prospective Comparison of Spinal Cord Stimulation (SCS) Using Dorsal Column Stimulation (DCS), Intraspinal Nerve Root Stimulation (INRS), and Varying Pulse Width in the Treatment of Chronic Low Back Pain,” Congress of Neurological Surgeons 56th Annual Meeting, Oct. 7-12, 2006, 2 pages.
Yearwood et al., “Pulse Width Programming in Spinal Cord Stimulation: A Clinical Study,” Pain Physician Journal, Jul./Aug. 2010, 16 pages.
Yearwood et al., Case Reports: “A Prospective Comparison of Spinal Cord Stimulation (SCS) Using Dorsal Column Stimulation (DCS), Intraspinal Nerve Root Stimulation (INRS), and Varying Pulse Width in the Treatment of Chronic Low Back Pain,” Presented at the Congress of Neurological Surgeons 56th Annual Meeting, Oct. 7-12, 2006, 7 pages.
Zhang et al., Changes Across Time in Spike Rate and Spike Amplitude of Auditory Nerve Fibers Stimulated by Electric Pulse Trains, Journal of the Association for Research of Otolaryngology, 2007, 17 pages.
“The Need for Mechanism-Based Medicine in Neuromodulation,” Neuromodulation: Technology at the Neural Interface, 2012, 7 pages.
Acticare.com website, http://web.archive.org/web/*/acticare.com, Internet Archive Way Back Machine, 2012, 22 pages.
Advanced Neuromodulation Systems, Compustim SCS Systems, Clinical Manual, 1997, 52 pages.
Al-Kaisy et al., “Sustained Effectiveness of 10kHz High-Frequency Spinal Cord Stimulation for Patients with Chronic, Low Back Pain: 24-month Results of Prospective Multicenter Study,” Pain Medicine, 2014, 8 pages.
International Search Report and Written Opinion for International Patent Application No. PCT/US2017/014784, Applicant: Nevro Corp., dated May 1, 2017, 13 pages.
Amendment in Response to Ex Parte Office Action for U.S. Appl. No. 13/446,970, First Named Inventor: Konstantinos Alataris, dated Nov. 28, 2012, 14 pages.
Amendment in Response to Non-Final Office Action for U.S. Appl. No. 13/245,450, First Named Inventor: Konstantinos Alataris, filed Feb. 7, 2012, 15 pages.
Amendment in Response to Non-Final Office Action for U.S. Appl. No. 12/765,747, First Named Inventor: Konstantinos Alataris, dated Jan. 24, 2014, 21 pages.
Applicant-Initiated Interview Summary for U.S. Appl. No. 13/245,450, First Named Inventor: Konstantinos Alataris, dated Feb. 1, 2012, 2 pages.
Applicant-Initiated Interview Summary for U.S. Appl. No. 13/725,770, First Named Inventor: Konstantinos Alataris, dated Apr. 5, 2013, 3 pages.
Applicant-Initiated Interview Summary for U.S. Appl. No. 12/765,747, First Named Inventor: Konstantinos Alataris, dated Sep. 11, 2013, 3 pages.
Application Data Sheet for U.S. Appl. No. 13/446,970 (U.S. Pat. No. 8,359,102), First Named Inventor: Konstantinos Alataris, filed Apr. 13, 2012, 6 pages.
Augustinsson et al., “Spinal Cord Stimulation in Cardiovascular Disease,” Functional Neurosurgery, vol. 6, No. 1, Jan. 1995, 10 pages.
Barolat et al., “Multifactorial Analysis of Epidural Spinal Cord Stimulation,” Stereotactic and Functional Neurosurgery, 1991; 56: 77-103.
Barolat et al., “Spinal Cord Stimulation for Chronic Pain Management,” Seminars in Neurosurgery, vol. 15, Nos. 2/3, 2004, 26 pages.
Barolat et al., “Surgical Management of Pain—Spinal Cord Stimulation: Equipment and Implantation Techniques,” Chapter 41, Thieme Medical Publishers, New York, 2002, 11 pages.
Benyamin et al., “A Case of Spinal Cord Stimulation in Raynaud's Phenomenon: Can Subthreshold Sensory Stimulation Have an Effect?” Pain Physician www.painphysicianjournal.com, 2007, 6 pages.
Bhadra et al., “High Frequency electrical conduction block of the pudendal nerve,” Journal of Neural Engineering—Institute of Physics Publishing, 2006, 8 pages.
Bhadra et al., Stimulation of High-Frequency Sinusoidal Electrical Block of Mammalian Myelinated Axons, J Comput Neurosci, 22:313-326, 2007.
Bhadra MD, Niloy et al., “High-Frequency Electrical Conduction Block of Mammalian Peripheral Motor Nerve,” Muscle and Nerve, Dec. 2005, 9 pages.
Boger et al., “Bladder Voiding by Combined High Frequency Electrical Pudendal Nerve Block and Sacral Root Stimulation,” Neurourology and Urodynamics, 27, 2008, 5 pages.
Boston Scientific “Precision™ Spinal Cord Stimulator System Clinician Manual—Directions for Use,” 2015, 74 pages.
Boston Scientific, News Release: “New Data Presented at NANS 2014 Demonstrate Long-Term, Low Back Pain Relief with Boston Scientific Precision Spectra™ Spinal Cord Stimulator System,” Dec. 12, 2014, 8 pages.
Bowman and McNeal, Response of Single Alpha Motoneurons to High-Frequency Pulse Trains, Appl. Neurophysiol. 49, p. 121-138, 1986, 10 pages.
Burton, Charles, “Dorsal Column Stimulation: Optimization of Application,” Surgical Neurology, vol. 4, No. 1, Jul. 1975, 10 pages.
Butt et al., “Histological Findings Using Novel Stimulation Parameters in a Caprine Model,” European Journal of Pain Supplements, 2011, 2 pages.
ClinicalTrials.gov, “Safety and Effectiveness Study of the Precision SCS System Adapted for High-Rate Spinal Cord Stimulation (ACCELERATE),” https://clinicaltrials.gov/ct2/show/NCT02093793?term=boston+scientific&recr=Open&cond=%22Pain%22&rank=3, Feb. 2015, 3 pages.
Crosby et al., “Stimulation Parameters Define the Effectiveness of Burst Spinal Cord Stimulation in a Rat Model of Neuropathic Pain,” Neuromodulation Technology at the Neural Interface, International Neuromodulation Society, 2014, 8 pages.
Curriculum Vitae and Declaration of Dr. Ganesan Baranidharan on behalf of European Patent No. 2630984, 19 pages, 2016.
Curriculum Vitae and Declaration of Dr. Jonathan Miller on behalf of European Patent No. 2630984,42 pages, Oct. 25, 2016.
Curriculum Vitae and Declaration of Dr. Simon James Thomson on behalf of European Patent No. 2630984, Oct. 24, 2016, 13 pages.
Curriculum Vitae and Declaration of Prof. Bengt Linderoth on behalf of European Patent No. 2630984, Oct. 21, 2016, 6 pages.
Curriculum Vitae of Michael A. Moffitt for European Patent No. 2630984, 2015, 2 pages.
Declaration of Cameron C. McIntyre, Ph.D., May 6, 2015, 57 pages.
Declaration of Cameron C. McIntyre, Ph.D., May 6, 2015, 88 pages.
Declaration of M. Jason D. Rahn for European Patent No. 2243510, dated Feb. 2, 2017, 2 pages.
Declaration of M. Jason D. Rahn, Jan. 7, 2015, 7 pages.
Declaration of Prof. Bengt Linderoth for European Patent No. 2421600, dated Dec. 16, 2016 2 pages.
DeRidder et al., “Are Paresthesias necessary for pain suppression in SCS—Burst Stimulation,” Brain, Brain Research Center Antwerp of Innovative and Interdisciplinary Neuromodulation, 2010, 27 pages.
DeRidder et al., “Burst Spinal Cord Stimulation: Toward Paresthesia-Free Pain Suppression,” www.neurosurgery-online.com, vol. 66, Nos. 5, May 2010, 5 pages.
Dorland's Illustrated Medical Dictionary, Twenty-sixth Edition, “Paresthesia,” 1981, 4 pages.
Doug Atkins of Medtronic Neurological, “Medtronic Neurostimulation Leads, 510(k) Summary,” Submission Prepared: Feb. 27, 2004, 6 pages.
Eddicks et al., “Thoracic Spinal Cord Stimulation Improves Functional Status and Relieves Symptoms in Patients with Refractory Angina Pectoris: The First Placebo-Controlled Randomised Study,” Heart Journal, 2007, 6 pages.
Ex Parte Office Action for U.S. Appl. No. 13/446,970, First Inventor Named: Konstantinos Alataris, dated Oct. 15, 2012, 9 pages.
Feeling vs. Function Poster, Mager and Associates Consulting, 2009, 1 page.
First Preliminary Amendment for U.S. Appl. No. 13/446,970, First Named Inventor: Konstantinos Alataris, dated May 18, 2012, 7 pages.
Grill, Warren et al., “Stimulus Waveforms for Selective Neural Stimulation,” IEEE Engineering in Medicine and Biology, Jul./Aug. 1995, pp. 375-385.
Guo et al., “Design and Implement of a Mini-Instrument for Rehabilitation with Transcutaneous Electrical Nerve Stimulation,” School of Medical Instrument and Food Engineering, University of Shanghai for Science and Technology, Shanghai China, Mar. 31, 2007, 5 pages.
Hefferman et al., “Efficacy of Transcutaneous Spinal Electroanalgesia in Acute Postoperative Pain Management,” Anesthesiology, 2001, 2 pages.
Hilberstadt et al., “The Effect of Transcutaneous Spinal Electroanalgesia upon Chronic Pain: A single case study,” Physiotherapy, vol. 86 No. 3, Mar. 2000, 2 pages.
Holsheimer—Effectiveness of Spinal Cord Stimulation in the Management of Chronic Pain: Analysis of Technical Drawbacks and Solutions, Neurosurgery, vol. 40, No. 5, May 1997, pp. 990-999.
Hopp et al., “Effect of anodal blockade of myelinated fibers on vagal c-fiber afferents,” American Journal Physiological Society, Nov. 1980; 239(5), 9 pages.
Hoppenstein, Reuben, “Electrical Stimulation of the Ventral and Dorsal Columns of the Spinal Cord for Relief of Chronic Intractable Pain: Preliminary Report,” Surgical Neurology, vol. 4, No. 1, Jul. 1975, 9 pages.
Huxely et al., “Excitation and Conduction in Nerve: Quantitative Analysis,” Science, Sep. 11, 1964; 145: 1154-9.
J.P. Morgan North America Equity Research, “Nevro—Let the Launch Begin: Senza Approved, Raising PT to $54,” www.jpmorganmarkets.com, May 10, 2015, 8 pages.
J.P. Morgan North America Equity Research, “Nevro—Welcome to the Future of Spinal Cord Stimulation Initiating at OW with $34 Price Target,” www.jpmorganmarkets.com, Dec. 1, 2014, 39 pages.
Jain et al., Abstract—“Accelerate: A Prospective Multicenter Trial Evaluating the Use of High-Rate Spinal Cord Stimulation in the Management of Chronic Intractable Pain,” The American Academy of Pain Medicine, 2015, 1 page.
Jang et al., “Analysis of Failed Spinal Cord Stimulation Trails in the Treatment of Intractable Chronic Pain,” J. Korean Neurosurg Soc 43, 2008, 5 pages.
JMP Securities, “Nevro Corp. (NVRO) Initiating Coverage on Nevro Corp, with a Market Outperform Rating—Investment Highlights,” Dec. 1, 2014, 42 pages.
Kapural et al., “Novel 10-Khz High Frequency Therapy (HF10 Therapy) is Superior to Traditional Low-Frequency Spinal Cord Stimulation for Treatment of Chronic Back and Leg Pain,” Anesthesiology The Journal of American Society of Anesthesiologists, Inc., 2015, 11 pages.
Kilgore et al. “Nerve Conduction Block Utilizing High-Frequency Alternating Current” Medical & Biology Engineering and Computing, 2004, vol. 24, pp. 394-406.
Kilgore et al. “Reversible Nerve Conduction Block Using Kilohertz Frequency Alternating Current,” Neuromodulation Technology at the Neural Interface, International Neuromodulation Society, 2013, 13 pages.
Kreitler et al., “Chapter 15: Implantable Devices and Drug Delivery Systems—The Handbook for Chronic Pain,” NOVA Biomedical Books, New York, 2007, 17 pages.
Krista Oakes of Neuromed, Inc., “Implanted Spinal Cord Stimulator Lead 510(k) Summary of Safety and Effectiveness,” Submission Prepared Feb. 21, 1996, 3 pages.
Kuechmann et al., Abstract #853: “Could Automatic Position Adaptive Stimulation Be Useful in Spinal Cord Stimulation?” Medtronic, Inc., Minneapolis, MN, European Journal of Pain 13, 2009, 1 page.
Kumar et al., “Spinal Cord Stimulation in Treatment of Chronic Benign Pain: Challenges in Treatment Planning and Present Status, a 22-Year Experience,” Neurosurgery, vol. 58, No. 3, Mar. 2006, 16 pages.
Kumar et al., “The Effects of Spinal Cord Stimulation in Neuropathic Pain Are Sustained: A 24-month Follow-Up of the Prospective Randomized Controlled Multicenter Trial of the Effectiveness of Spinal Cord Stimulation,” www.neurosurgery-online.com, vol. 63, No. 4, Oct. 2008, 9 pages.
Lempka et al., “Computational Analysis of Kilohertz Frequency Spinal Cord Stimulation for Chronic Pain Management,” Anesthesiology, vol. 122, No. 6, Jun. 2015, 15 pages.
Linderoth et al., “Mechanisms of Spinal Cord Stimulation in Neuropathic and Ischemic Pain Syndromes,” Neuromodulation, Chapter 25, 2009, 19 pages.
Linderoth et al., “Mechanisms of Spinal Cord Stimulation in Painful Syndromes: Role of Animal Models,” Pain Medicine, vol. 7, No. S1, 2006, 13 pages.
Linderoth et al., “Physiology of Spinal Cord Stimulation: Review and Update,” Neuromodulation, vol. 2, No. 3, 1999, 15 pages.
MacDonald, Alexander J. R, and Coates, Tim W., “The Discovery of Transcutaneous Spinal Electroanalgesia and Its Relief of Chronic Pain,” Physiotherapy, vol. 81. No. 11, Nov. 1995, 9 pages.
Manola et al., “Technical Performance of Percutaneous Leads for Spinal Cord Stimulation: A Modeling Study,” International Neuromodulation Society, 2005, 12 pages.
Mediati, R.D., “Mechanisms of Spinal Cord Stimulation,” Florence, Oct. 2, 2002, 31 pages.
Medtronic—Neurological Division, QuadPlus, Model 3888, Lead Kit for Spinal Cord Stimulation (SCS) Implant Manual, 1996, 33 pages.
Medtronic—Neurological Division, Resume II, Model 3587A, Lead Kit for Spinal Cord Stimulation (SCS) and Peripheral Nerve Stimulation (PNS), Implant Manual, 1996, 32 pages.
Medtronic commercial leaflet entitled: Surgical Lead Comparison, 1999, 4 pages.
Medtronic, “Medtronic Pain Therapy—Using Neurostimulation for Chronic Pain, Information for Prescribers” 2007, 29 pages.
Medtronic, Pain Therapy Product Guide, Dec. 2008, 31 pages.
Medtronic, Pisces Quad 3487A, Pisces Quad Compact model 3887, Pisces Quad Plus 3888 Lead Kit, Implant Manual, 2008, 16 pages.
Medtronic: Spinal Cord Stimulation Systems, 2013, 4 pages.
Melzack, Ronald et al., “Pain Mechanisms: A New Theory,” Science, vol. 150, No. 3699, Nov. 19, 1965, 9 pages.
Merriam Webster's Collegiate Dictionary, Tenth Edition, definition of “Implantable,” 1995, 3 pages.
Miller, Jonathan, “Neurosurgery Survival Guide—A Comprehensive Guide to Neurosurgical Diagnosis and Treatment,” http://d3jonline.tripod.com/neurosurgery/, Nov. 14, 2016, 4 pages.
Morgan Stanley Research North America, “Nevro Corp—There's Something Happening Here,” Dec. 15, 2014, 12 pages.
Mosby's Medical Dictionary, 8th Edition, “Paresthesia,” 2009, 3 pages.
Muller and Hunsperger, “Helvetica Physiologica et Pharmacologica Acta—Reversible Blockierung der Erregungsleitung im Nerven durch Mittelfrequenz—Daverstrom,” Schwabe & Co. Basel, vol. 25, Fasc. 1, 1967, 4 pages.
Munglani, Rajesh, “The Longer Term Effect of Pulsed Radiofrequency for Neuropathic Pain,” Pain 80, 1999, 3 pages.
Nashold et al., “Dorsal Column Stimulation for Control Pain—Preliminary Report on 30 Patients,” J. Neurosurg., vol. 36, May 1972, 8 pages.
Nevro—Chronic Pain and Treatments, http://www.nevro.com/English/Patients/Chronic-Pain-and-Treatments/default.aspx, 2016, 3 pages.
Nevro—Clinical Evidence www.nevro.com/English/Physicians/Clinical-Evidence/default.aspx, 2016, 2 pages.
Nevro—HF10™ Therapy Fact Sheet, http://www.nevro.com/English/Newsroom/Resources/default.aspx, 2015, 4 pages.
Nevro—Physician Overview, www.nevro.com/English/Physicians/Physician-Overview/default.aspx, 2016, 5 pages.
Nevro—Senza System, http://www.nevro.com/English/Physicians/Senza-System/default.aspx, 2016, 3 pages.
Nevro HF10 Therapy—New Hope for Chronic Back Pain and Leg Pain Sufferers, http://s21.q4cdn.com/478267292/files/doc_downloads/HF10-Therapy-New-Hope-for-Chronic-Pain.pdf, 2016, 2 pages.
Nevro Observations and Response to Notice of Oppositions filed by Medtronic Inc., and Boston Scientific for European Patent No. 2207587, mailed Aug. 26, 2016, 16 pages.
Nevro Response to Notice of Oppositions filed by Boston Scientific for European Patent No. 2421600, mailed Jul. 22, 2015, 16 pages.
Nevro Response to Notice of Oppositions filed by Medtronic and Boston Scientific for European Patent No. 2630984, mailed Dec. 7, 2015, 26 pages.
Nevro Response to Opposition of Division's Comments and Summons to Oral Proceedings for European Patent No. 2630984, mailed Oct. 25, 2016, 8 pages.
Nevro Senza Patient Manual, Jan. 16, 2015, 53 pages.
Nevro Senza Physician Implant Manual, Jan. 16, 2015, 31 pages.
Nevro website: HF10 Therapy Advantages, www.nevro.com/English/Patients/HF10-Therapy-Advantages/default.aspx, 2016, 3 pages.
Nevro Written Submissions and Response to Notice of Oppositions filed by Medtronic Inc., and Boston Scientific for European Patent No. 2243510, mailed Aug. 28, 2015, 17 pages.
Nevro, PMA Approval Letter and Referenced Summary of Safety and Effectiveness Data (SSED) May 8, 2015, 60 pages.
Nevro's Response to Further Submission by Medtronic, Inc., and Boston Scientific Neuromodulation Corporation for European Patent No. 2243510, mailed Feb. 24, 2017, 9 pages.
Nevro's Response to Preliminary Opinion for Opposition by Medtronic, Inc., and Boston Scientific Neuromodulation Corporation for European Patent No. 2243510, dated Feb. 3, 2017, 36 pages.
Nevro's presentation of HF10 therapy on Nevro's website, http://www.nevro.com/English/Home/default.aspx, 2016, 2 pages.
Nevros Response to Opponent Submission of Declaration of Jonathan Miller in European Patent No. 2630984, mailed Nov. 18, 2016, 4 pages.
News Release Details, “Nevro Corp. Announces Pricing of Initial Public Offering,” 2014, 1 page.
Non-Final Office Action for U.S. Appl. No. 12/765,747, First Named Inventor: Konstantinos Alataris, dated Jul. 25, 2013, 7 pages.
Non-Final Office Acton for U.S. Appl. No. 13/245,450, First Named Inventor: Konstantinos Alataris, dated Nov. 18, 2011, 11 pages.
North American Neuromodulation Society—14th Annual Meeting, “Neuromodulation: Vision 2010,” Dec. 2-5, 2010, 9 pages.
North American Neuromodulation Society—16th Annual Meeting, “From Innovation to Reality Syllabus,” Dec. 6-9, 2012, 198 pages.
North American Neuromodulation Society—Celebrating 20 years, 18th Annual Meeting Program Book, Dec. 11-14, 2014, 28 pages.
North American Neuromodulation Society, “Today's Vision, Tomorrow's Reality—17th Annual Meeting,” Dec. 5-8, 2013, 12 pages.
North American Neuromodulation, “15th Annual Meeting, Our Crystal Anniversary,” Dec. 8-11, 2011, 8 pages.
North et al., “Failed Back Surgery Syndrome: 5-year Follow-Up after Spinal; Cord Stimulator Implantation,” Neurosurgery, Official Journal of the Congress of Neurological Surgeons, vol. 28, No. 5, May 1991, 9 pages.
North et al., “Spinal Cord Stimulation for Axial Low Back Pain,” SPINE, vol. 30, No. 12, 2005, 7 pages.
North et al., “Spinal Cord Stimulation for Chronic, Intractable Pain: Experience over Two Decades,” Neurosurgery, vol. 32, No. 2, Mar. 1993, 12 pages.
Notice of Allowance for U.S. Appl. No. 13/245,450, First Named Inventor: Konstantinos Alataris, dated Mar. 14, 2012, 8 pages.
Notice of Opposition to a European Patent for European Patent No. 2586488, Proprietor of the Patent: Nevro Corporation; Opponent: Medtronic, Inc., Mar. 15, 2017, 7 pages.
Notice of Opposition to a European Patent, Argument and Facts, for European Patent No. 2243510, Proprietor of the Patent: Nevro Corporation, Opponent: Medtronic, Jan. 8, 2015, 22 pages.
Notice of Opposition to a European Patent, Argument and Facts, and Annex for European Patent No. 2243510, Proprietor of the Patent: Nevro Corporation; Opponent: Boston Scientific Neuromodulation Corporation, Jan. 8, 2015, 28 pages.
Notice of Opposition to a European Patent, Argument and Facts, for European Patent No. 2207587, Proprietor of the Patent: Nevro Corporation; Opponent: Medtronic, Inc., Jan. 12, 2016, 22 pages.
Notice of Opposition to a European Patent, Argument and Facts, for European Patent No. 2207587, Proprietor of the Patent: Nevro Corporation; Opponent: Boston Scientific Neuromodulation Corporation, Jan. 8, 2016, 17 pages.
Notice of Opposition to a European Patent, Argument and Facts for European Patent No. 2630984, Proprietor of the Patent: Nevro Corporation; Opponent: Medtronic, Mar. 17, 2015, 17 pages.
Notice of Opposition to a European Patent, Argument and Facts, and Annex for European Patent No. 2630984, Proprietor of the Patent: Nevro Corporation; Opponent: Boston Scientific Neuromodulation Corporation, Mar. 17, 2015, 21 pages.
Notice of Opposition to a European Patent, Argument and Facts, and Annex for European Patent No. 2421600, Proprietor of the Patent: Nevro Corporation; Opponent: Boston Scientific Neuromodulation Corporation, Dec. 4, 2014, 22 pages.
Oakley et al., “A New Spinal Cord Stimulation System Effectively Relieves Chronic, Intractable Pain: A Multicenter Prospective Clinical Study,” Neuromodulation: Technology at the Neural Interface, vol. 10, No. 3, 2007, 17 pages.
Oakley et al., “Spinal Cord Stimulation in Axial Low Back Pain: Solving the Dilemma,” Pain Medicine, vol. 7, No. S1, 2006, 6 pages.
Oakley, John C., “Spinal Cord Stimulation Mechanisms of Action,”SPINE vol. 27, No. 22, copyright 2002, 10 pages.
Opponent Boston Scientific: Response to Attend Oral Proceedings for European Patent No. 2630984, mailed Oct. 25, 2016, 21 pages.
Opponent Response to Patent Proprietor Comments to Declaration of Dr. Jonathan Miller for European Patent No. 2630984, mailed Nov. 22, 2016, 3 pages.
Opponents Boston Scientific Neuromodulation Corp.: Additional Observations in view of Oral Proceedings for European Patent No. 2243510, mailed Feb. 3, 2017, 8 pages.
Opponents Boston Scientific: Response to Summons to Attend Oral Proceedings for European Patent No. 2421600, mailed Jan. 2, 2017, 15 pages.
Opponents Medtronic, Inc.: Additional Observations in view of Oral Proceedings for European Patent No. 2243510, mailed Feb. 3, 2017, 10 pages.
Opponents Medtronic, Inc.: Response to Attend Oral Proceedings for European Patent No. 2630984, mailed Oct. 25, 2016, 26 pages.
Opponents Response to Patentee's (Nevro) Written Submissions for European Patent No. 2243510, mailed Feb. 22, 2016, 21 pages.
Palmer et al., “Transcutaneous electrical nerve stimulation and transcutaneous spinal electroanalgesia: A preliminary efficacy and mechanisms-based investigation,” Physiotherapy, 95, 2009, 7 pages.
Partial European Search Report, European Application No. EP10160641, Applicant: Nevro Corporation, dated Aug. 30, 2010, 3 pages.
Patent Owner's Preliminary Response for Inter Partes Review for U.S. Pat. No. 8,359,102, Case No. IPR2015-01203, Petitioner: Boston Scientific Neuromodulation Corporation, Patent Owner: Nevro Corporation, dated Sep. 1, 2015, 70 pages.
Patent Owner's Preliminary Response for Inter Partes Review for U.S. Pat. No. 8,359,102, Case No. IPR2015-01204, Petitioner: Boston Scientific Neuromodulation Corporation, Patent Owner: Nevro Corporation, dated Sep. 1, 2015, 63 pages.
Perruchoud et al., “Analgesic Efficacy of High-Frequency Spinal Cord Stimulation: A Randomized Double-Blind Placebo-Controlled Study,” Neuromodulation: Technology at Neural Interface, International Neuromodulation Society, 2013, 7 pages.
Petition for Inter Partes Review of Claims 1, 2, 11-15, 17-23, 25 and 26 for U.S. Pat. No. 8,359,102, Petitioner: Boston Scientific Neuromodulation Corporation, Patent Owner: Nevro Corporation, May 14, 2015, 45 pages.
Petition for Inter Partes Review of Claims 1, 2, 11-15, 17-23, 25 and 26 for U.S. Pat. No. 8,359,102, Petitioner: Boston Scientific Neuromodulation Corporation, Patent Owner: Nevro Corporation, May 14, 2015, 67 pages.
Prausnitz et al., “The Effects of Electric Current Applied to Skin: A Review for Transdermal Drug Delivery,” Advanced Drug Delivery Reviews 18, 1996, 31 pages.
Reddy et al., “Comparison of Conventional and Kilohertz Frequency Epidural Stimulation in Patients Undergoing Trailing for Spinal Cord Stimulation: Clinical Considerations,” World Neurosurgery, www.sciencedirect.com, 6 pages, 2015.
Remedi Pain Relief—ENM (Electronic Nerve Modulation), https://web.archive.org/web/20050906181041/http://www.remediuk.com/trials.htm, 2005, 5 pages.
Resume of Jason D. Rahn, Jan. 7, 2015, 2 pages.
Robb et al., “Transcutaneous Electrical Nerve Stimulation vs. Transcutaneous Spinal Electroanalgesia for Chronic Pain Associated with ; Breast Cancer Treatments,” Journal of Pain and Symptom Management, vol. 33, No. 4, Apr. 2007, 10 pages.
Royle, John., “Transcutaneous Spinal Electroanalgesia and Chronic Pain,” Physiotherapy, vol. 86, No. 5, May 2000, 1 page.
Science Daily, “Chronic Pain Costs U.S. up to $635 billion, study shows,” www.sciencedaily.com/releases/2012/09/120911091100.htm, Sep. 11, 2012, 2 pages.
Senza Spinal Cord Stimulation (SCS) System—P130022, http://www.fda.gov/MedicalDevices/ProductsandMedicalProcedures/DeviceApprovalsandClearances/Recently-ApprovedDevices/ucm449963.htm Oct. 14, 2016, 2 pages.
Shealy MD, C. Norman et al., “Electrical Inhibition of Pain by Stimulation of the Dorsal Columns: Preliminary Clinical Report,” Anesthesia and Analgesia Current Researches, vol. 446, No. 4, Jul.-Aug. 1967, 3 pages.
Simpson et al., “A Randomized, Double-Blind, Crossover Study of the Use of Transcutaneous Spinal Electroanalgesia in Patients with Pain from Chronic Critical Limb Ischemia,” Journal of Pain and Symptom Management, vol. 28, No. 5, Nov. 2004, 6 pages.
Simpson, BA, “Spinal Cord Stimulation in 60 cases of Intractable Pain.” Journal of Neurology, Neurosurgery and Psychiatry, 1991; 54 pp. 196-199.
Simpson, BA, “Spinal Cord Stimulation.” British Journal of Neurosurgery, 1997, Feb. 11 (1), 5-11, 7 pages.
Sluijter et al., “The Effects of Pulsed Radiofrequency Fields Applied to the Dorsal Root Ganglion—A Preliminary Report,” The Pain Clinic, vol. 11, No. 2, 1998, 12 pages.
Solomonow et al., “Control of Muscle Contractile Force through Indirect High-Frequency Stimulation,” AM Journal of Physical Medicine, 1983, vol. 62, No. 3, pp. 71-82.
St. Jude Medical, “Eon Mini™ Rechargeable IPG,” Apr. 29, 2013, 3 pages.
St. Jude Medical, “Individualized Therapy through Diverse Lead Options,” 2008, 6 pages.
Stimwave, News Release: “Stimwave Receives FDA Approval for High Frequency IDE,” http://stimwave.com/newsroom/latest-news, Jun. 9, 2015, 2 pages.
Sweet et al., “Paresthesia-Free High Density Spinal Cord Stimulation for Postlaminectomy Syndrome in a Prescreened Population: A Prospective Case Series,” Neuromodulation: Technology at the Neural Interface, 2015, 7 pages.
Swigris et al., “Implantable Spinal Cord Stimulator to Treat the Ischemic Manifestations of Thromboangiitis Obliterans (Buerger's disease),” Journal of Vascular Surgery, vol. 29, No. 5, 1998, 8 pages.
Tan et al., “Intensity Modulation: A Novel Approach to Percept Control in Spinal Cord Stimulation,” Neuromodulation Technology at the Neural Interface, International Neuromodulation Society 2015, 6 pages.
Tanner, J.A., “Reversible blocking of nerve conduction by alternating-current; excitation,” Nature, Aug. 18, 1962; 195: 712-3.
Tesfaye et al., “Electrical Spinal Cord Stimulation for Painful Diabetic Peripheral Neuropathy,” The Lancet, vol. 348, Dec. 21-28, 1996, 4 pages.
Thompson et al., “A double blind randomised controlled clinical trial on the effect of transcutaneous spinal electroanalgesia (TSE) on low back pain,” European Journal of Pain, vol. 12, Issue 3, Apr. 2008, 6 pages.
Tollison et al., “Practical Pain Management Neurostimulation Techniques,” Chapter 12, Lippincott Williams and Wilkins, Third Edition, 2002, 13 pages.
Towell et al., “High Frequency non-invasive stimulation over the spine: Effects on mood and mechanical pain tolerance in normal subjects,” Behavioral Neurology, vol. 10, 1997, 6 pages.
Urban et al., “Percutaneous epidural stimulation of the spinal cord for relief of pain—Long Term Results,” Journal of Neurosurgery, vol. 48, Mar. 1978, 7 pages.
Van Butyen et al., “High Frequency Spinal Cord Stimulation for the Treatment of Chronic Back Pain Patients: Results of a Prospective Multicenter European Clinical Study,” Neuromodulation Technology at the ; Neural Interface, International Neuromodulation Society, 2012, 8 pages.
Van Den Honert et al. “Generation of Unidirectionally Propagated Action Potentials Nerve by Brief Stimuli” Science, vol. 26, pp. 1311-1312.
Van Den Honert, Mortimer JT, “A Technique for Collision Block of Peripheral Nerve: Frequency Dependence,” MP-11 IEEE Trans. Biomed, Eng. 28: 379-382, 1981.
Van Havenbergh et al., “Spinal Cord Stimulation for the Treatment of Chronic Back Pain Patients: 500-Hz vs. 1000-Hz Burst Stimulation,” Neuromodulation: Technology at the Neural Interface, International Neuromodulation Society, 2014, 4 pages.
Wallace et al., Poster: “Accelerate: A Prospective Multicenter Trial Evaluating the Use of High-Rate Spinal Cord Stimulation in the Management of Chronic Intractable Pain,” Boston Scientific Corporation, 2015, 1 page.
Webster's Third New International Dictionary of the English Language Unabridged, “Paresthesia,” 1993, 3 pages.
Wolter et al., “Continuous Versus Intermittent Spinal Cord Stimulation: An Analysis of Factors Influencing Clinical Efficacy,” Neuromodulation: Technology at Neural Interface, www.neuromodulationjournal.com, 2011, 8 pages.
Woo MY, Campbell B. “Asynchronous Firing and Block of Peripheral Nerve Conduction by 20KC Alternating Current,” Los Angeles Neuro Society, Jun. 1964; 87-94, 5 pages.
Zhang et al., “Simulation Analysis of Conduction Block in Myelinated Axons Induced by High-Frequency Biphasic Rectangular Pulses,” IEEE Transactions on Biomedical Engineering, vol. 53., No. 7, Jul. 2006, 4 pages.
Medtronic—Neurological Division, Resume TL, Model 3986, Lead Kit for Spinal Cord Stimulation (SCS) and Peripheral Nerve Stimulation (PNS), Implant Manual, 1996, 27 pages.
Medtronic—Neurostimulation Systems: Expanding the Array of Pain Control Solutions, 1999, 6 pages.
Kulkarni et al., “A two-layered forward model of tissue for electrical impedance tomography,” Physiol Meas., 30(6); pp. 1-24, Jun. 2009.
Related Publications (1)
Number Date Country
20210060338 A1 Mar 2021 US
Provisional Applications (1)
Number Date Country
62286892 Jan 2016 US
Divisions (1)
Number Date Country
Parent 15414561 Jan 2017 US
Child 17030349 US