Systems and methods to sense stimulation electrode tissue impedance

Information

  • Patent Grant
  • 12151107
  • Patent Number
    12,151,107
  • Date Filed
    Monday, February 7, 2022
    2 years ago
  • Date Issued
    Tuesday, November 26, 2024
    3 days ago
Abstract
A method includes: transmitting a first set of radio-frequency (RF) pulses to an implantable wireless stimulator device such that electric currents are created from the first set of RF pulses and flown through a calibrated internal load on the implantable wireless stimulator device; in response to the electric currents flown through a calibrated internal load, recording a first set of RF reflection measurements; transmitting a second set of radio-frequency (RF) pulses to the implantable wireless stimulator device such that stimulation currents are created from the second set of RF pulses and flown through an electrode of the implantable wireless stimulator device to tissue surrounding the electrode; in response to the stimulation currents flown through the electrode to the surrounding tissue, recording a second set of RF reflection measurements; and characterizing an electrode-tissue impedance by comparing the second set of RF reflection measurements with the first set of RF reflections measurements.
Description
TECHNICAL FIELD

This application relates generally to systems and methods to operation of an implantable stimulator device that has been implanted inside a subject.


BACKGROUND

Modulation of excitable tissue in the body by electrical stimulation has become an important type of therapy for patients with chronic disabling conditions, including pain, movement initiation and control, involuntary movements, vascular insufficiency, heart arrhythmias and various other modalities. A variety of therapeutic intra-body electrical stimulation techniques can be utilized to provide therapeutic relief for these conditions. For instance, devices may be used to deliver stimulatory signals to excitable tissue, record vital signs, perform pacing or defibrillation operations, record action potential activity from targeted tissue, control drug release from time-release capsules or drug pump units, or interface with the auditory system to assist with hearing.


SUMMARY

In one aspect, some implementations provide a method to adjust stimulation by an implantable wireless stimulator device to surrounding tissue, the method including: transmitting, from an external pulse generator and via electric radiative coupling, a first set of radio-frequency (RF) pulses to the implantable wireless stimulator device such that electric currents are created from the first set of RF pulses and flown through a calibrated internal load on the implantable wireless stimulator device; in response to the electric currents flown through the calibrated internal load, recording, on the external pulse generator, a first set of RF reflection measurements; transmitting, from the external pulse generator and via electric radiative coupling, a second set of radio-frequency (RF) pulses to the implantable wireless stimulator device such that stimulation currents are created from the second set of RF pulses and flown through an electrode of the implantable wireless stimulator device to tissue surrounding the electrode; in response to the stimulation currents flown through the electrode to the surrounding tissue, recording, on the external pulse generator, a second set of RF reflection measurements; and characterizing an electrode-tissue impedance by comparing the second set of RF reflection measurements with the first set of RF reflections measurements.


Implementations may include one or more of the following features. In response to characterizing the electrode-tissue impedance as resistive, the method may include adjusting one or more input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device such that stimulus currents created from the input pulses on the implantable wireless stimulator device are adjusted to compensate for a resistive electrode-tissue impedance. Adjusting input pulses may include: maintaining a steady-state delivery of electrical power to the implantable wireless stimulator device such that electrical energy is extracted from the input pulses as fast as electrical energy is consumed by the implantable wireless stimulator device to (i) generate the stimulus currents with one or more pulse parameters that have been varied to accommodate the resistive electrode-tissue impedance, and (ii) deliver the stimulus currents from the electrode on the implantable wireless stimulator device to the surrounding tissue. The pulse parameters may include: a pulse width, a pulse amplitude, and a pulse frequency.


The method may include: in response to characterizing the electrode-tissue impedance as capacitive, adjusting one or more input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device such that stimulus currents created from the input pulses and delivered by the electrode on the implantable wireless stimulator device to the surrounding tissue are adjusted to compensate for a capacitive electrode-tissue impedance. Adjusting input pulses may include: maintaining a steady-state delivery of electrical power to the implantable wireless stimulator device such that electrical energy is extracted from the input pulses as fast as electrical energy is consumed by the implantable wireless stimulator device to (i) generate the stimulus currents with one or more pulse parameters that have been varied to accommodate the capacitive electrode-tissue impedance, and (ii) deliver the stimulus currents from the electrode on the implantable wireless stimulator device to the surrounding tissue. The pulse parameters may include: a pulse width, a pulse amplitude, and a pulse frequency.


The method may further include: based on results of characterizing the electrode-tissue impedance, automatically choosing a stimulation session by determining input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device such that stimulus currents are created on the implantable wireless stimulator device and delivered by the electrode on the implantable wireless stimulator device to the surrounding tissue. Determining input pulses may include: updating the second set of radio-frequency (RF) pulses to obtain updated second set of RF reflection measurements; and comparing the updated second set of RF reflection measurements with the first set of RF reflection measurements. Updating and comparing may be performed iteratively until desired RF reflection measurements are obtained.


The method may further include: automatically performing fault checking according to results of characterizing the electrode-tissue impedance. Automatically performing fault checking may include: detecting a damaged wire in a circuit leading to the electrode on the implantable wireless stimulator device.


In another aspect, some implementations provide a system that includes: an implantable wireless stimulator device including: a first non-inductive antenna; one or more electrodes; and a circuit between the first non-inductive antenna and the one or more electrodes, the circuit comprising: a calibrated internal load that represents a pre-determined load condition on the one or more electrodes; an external pulse generator including: a second non-inductive antenna configured to: transmit, via electric radiative coupling, a first set of radio-frequency (RF) pulses to the first non-inductive antenna on the implantable wireless stimulator device such that electric currents are created from the first set of RF pulses and flown through the calibrated internal load on the implantable wireless stimulator device; and transmit, via electric radiative coupling, a second set of radio-frequency (RF) pulses to the first non-inductive antenna on the implantable wireless stimulator device such that stimulation currents are created from the second set of RF pulses and flown through an electrode of the implantable wireless stimulator device to tissue surrounding the electrode; and a reflection sensor subs-system coupled to the second non-inductive antenna and configured to: in response to the electric currents flown through the calibrated internal load, obtain a first set of RF reflection measurements; and in response to the stimulation currents flown through the electrode to the surrounding tissue, obtain a second set of RF reflection measurements; and a signal processor in communication with the reflection sensor subs-system and configured to: characterize an electrode-tissue impedance by comparing the second set of RF reflection measurements with the first set of RF reflections measurements.


Implementations may include one or more of the following features. The reflection sensor subs-system includes: a directional coupler coupled to the second non-inductive antenna and configured to detect a radio frequency (RF) signal reflected from the first non-inductive antenna; and a radio frequency (RF) phase detector coupled to the directional coupler and configured to detect phase differences between the RF signal reflected from the first non-inductive antenna and an RF signal transmitted from the second non-inductive antenna to the first non-inductive antenna. The reflection sensor subs-system may further include: an analog-to-digital converter (ADC) coupled to the directional coupler and configured to convert the RF signal reflected from the first non-inductive antenna into digital recordings.


The signal processor may be a digital signal processor. The signal processor may be further configured to: in response to characterizing the electrode-tissue impedance as resistive, adjust one or more input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device such that one or more stimulus pulses created from the input pulses and delivered by the electrode on the implantable wireless stimulator device to the surrounding tissue are adjusted to compensate for a resistive electrode-tissue impedance. The signal processor may be further configured to: in response to characterizing the electrode-tissue impedance as capacitive, adjust one or more input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device such that stimulus currents created from the input pulses and delivered by the electrode on the implantable wireless stimulator device to the surrounding tissue are adjusted to compensate for a capacitive electrode-tissue impedance. The signal processor may be further configured to: based on results of characterizing the electrode-tissue impedance, automatically choose a stimulation session by determining input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device such that stimulus currents are created on the implantable wireless stimulator device and delivered by the electrode on the implantable wireless stimulator device to the surrounding tissue. The signal processor may be further configured to: automatically perform fault checking according to results of characterizing the electrode-tissue impedance.





BRIEF DESCRIPTION OF THE DRAWINGS


FIG. 1 depicts a high-level diagram of an example of a wireless stimulation system.



FIG. 2 depicts a more detailed diagram of an example of the wireless stimulation system.



FIG. 3A is an illustration of an example of an implementation of the microwave field stimulator (MFS) transmitter for wireless power transfer to an implanted dipole antenna.



FIG. 3B is another illustration of another example of the implementation with a directional coupler and power detector.



FIGS. 4A-4D illustrate examples of normalized reflection versus normalized power under various loading conditions.



FIG. 5 illustrates an example of a flow chart.





Like reference symbols in the various drawings indicate like elements.


DETAILED DESCRIPTION

In various implementations, systems and methods are disclosed for applying one or more electrical impulses to targeted excitable tissue, such as nerves, for treating chronic pain, inflammation, arthritis, sleep apnea, seizures, incontinence, pain associated with cancer, incontinence, problems of movement initiation and control, involuntary movements, vascular insufficiency, heart arrhythmias, obesity, diabetes, craniofacial pain, such as migraines or cluster headaches, and other disorders. In certain embodiments, a device may be used to send electrical energy to targeted nerve tissue by using remote radio frequency (RF) energy without cables or inductive coupling to power an implanted wireless stimulator device. The targeted nerves can include, but are not limited to, the spinal cord and surrounding areas, including the dorsal horn, dorsal root ganglion, the exiting nerve roots, nerve ganglions, the dorsal column fibers and the peripheral nerve bundles leaving the dorsal column and brain, such as the vagus, occipital, trigeminal, hypoglossal, sacral, coccygeal nerves and the like.


A wireless stimulation system can include an implantable stimulator device with one or more electrodes and one or more conductive antennas (for example, dipole or patch antennas), and internal circuitry for detecting pulse instructions, and rectification of RF electrical energy. The system may further comprise an external controller and antenna for transmitting radio frequency or microwave energy from an external source to the implantable stimulator device with neither cables nor inductive coupling to provide power.


In various implementations, the wireless implantable stimulator device is powered wirelessly (and therefore does not require a wired connection) and contains the circuitry necessary to receive the pulse instructions from a source external to the body. For example, various embodiments employ internal dipole (or other) antenna configuration(s) to receive RF power through electrical radiative coupling, and the received RF power is used to power the implantable stimulator device. This allows such devices to produce electrical currents capable of stimulating nerve bundles without a physical connection to an implantable pulse generator (IPG) or use of an inductive coil.


In some implementations, a passive relay module may be configured as an implantable device to couple electromagnetic energy radiated from an external transmitting antenna to a wireless implantable stimulator device. In one example, the implantable device includes two monopole coupler arms connected to each other by a cable. One monopole coupler arm may be implanted in a parallel configuration with the external transmitting antenna such that linearly polarized electromagnetic waves radiated from the external transmitting antenna are received by this monopole coupler arm. Through the cable, the received electromagnetic waves may propagate to the other monopole coupler arm. In a reciprocal manner, this monopole coupler arm may radiate the received electromagnetic energy to the receiving antenna of the stimulator device. To effectively radiate the received electromagnetic energy to the receiving antenna of the stimulator device, parallel alignment of this other monopole coupler arm and the receiving antenna again may be used. In some cases, lengths of the monopole arms and length of the cable can be tailored to improve transmission efficiency, for example, at a particular operating frequency.


Some implementations utilize non-battery wireless power transfer implants, a new class of devices that can be constructed in very small form factors, enabling a minimal surgical incision and potentially unlimited product life, free of limitations and complications associated with battery powered devices. However, wireless power transfer faces various challenges. An implanted antenna is ideally very small in size to pass through a needle or cannula in order to enable a minimally invasive surgery. Generally a small antenna receives less RF power than a larger antenna, meaning the efficiency of power transfer to a very small antenna can be poor. Compounding the problem is the limited RF power that can be delivered by the external transmitting source because the Specific Absorption Rate (SAR) of RF inside the human body must be kept within safety limits. As such, optimum power transfer efficiency (or minimum path loss) must be maintained during wireless power transfer for implantable medical devices. To affect optimum power transfer, the external transmitting antenna must be aligned on the body in a favorable position relative to the implant. Estimating the location of the implant was historically only feasible using a medical imaging system, such as x-ray or ultrasound. Some implementations disclosed herein enable locating the in-situ receiver antenna, without the use of complex and expensive medical imaging techniques.


Further descriptions of exemplary wireless systems for providing neural stimulation to a patient can be found in commonly-assigned, published PCT applications PCT/US2012/23029 filed Jan. 28, 2011 and published Aug. 2, 2012, PCT/US2012/32200 filed Apr. 11, 2011 and published Oct. 11, 2012, PCT/US2012/48903, filed Jan. 28, 2011 and published Feb. 7, 2013, PCT/US2012/50633, filed Aug. 12, 2011 and published Feb. 21, 2013 and PCT/US2012/55746, filed Sep. 15, 2011 and published Mar. 21, 2013, the complete disclosures of which are incorporated by reference.



FIG. 1 depicts a high-level diagram of an example of a wireless stimulation system. The wireless stimulation system may include four major components, namely, a programmer module 102, a RF pulse generator module 106, a transmitting (TX) antenna 110 (for example, a patch antenna, slot antenna, or a dipole antenna), and an implanted wireless stimulator device 114. The programmer module 102 may be a computer device, such as a smart phone, running a software application that supports a wireless connection 104, such as Bluetooth®. The application can enable the user to view the system status and diagnostics, change various parameters, increase/decrease the desired stimulus amplitude of the electrical pulses, and adjust feedback sensitivity of the RF pulse generator module 106, among other functions.


The RF pulse generator module 106 may include communication electronics that support the wireless connection 104 and the battery to power the generator electronics. In some implementations, the RF pulse generator module 106 includes the TX antenna embedded into its packaging form factor, while in other implementations, the TX antenna is connected to the RF pulse generator module 106 through a wired connection 108 or a wireless connection (not shown). The TX antenna 110 may be coupled directly to tissue to create an electric field that powers the implanted wireless stimulator device 114. The TX antenna 110 communicates with the implanted wireless stimulator device 114 through an RF interface. For instance, the TX antenna 110 radiates an RF transmission signal that is modulated and encoded by the RF pulse generator module 110. The implanted wireless stimulator device of module 114 contains one or more antennas, such as dipole antenna(s), to receive and transmit through RF interface 112. In particular, the coupling mechanism between antenna 110 and the one or more antennas on the implanted wireless stimulation device of module 114 utilizes electrical radiative coupling and not inductive coupling. In other words, the coupling is through an electric field rather than a magnetic field.


Through this electrical radiative coupling, the TX antenna 110 can provide an input signal to the implanted wireless stimulator device 114. This input signal contains energy and may contain information encoding stimulus waveforms to be applied at the electrodes of the implanted wireless stimulator device 114. In some implementations, the power level of this input signal directly determines an applied amplitude (for example, power, current, or voltage) of the one or more electrical pulses created using the electrical energy contained in the input signal. Within the implanted wireless stimulator device 114 are components for demodulating the RF transmission signal, and electrodes to deliver the stimulation to surrounding neural tissue.


The RF pulse generator module 106 can be implanted subcutaneously, or it can be worn external to the body. When external to the body, the RF generator module 106 can be incorporated into a belt or harness design to allow for electric radiative coupling through the skin and underlying tissue to transfer power and/or control parameters to the implanted wireless stimulator device 114. In either event, receiver circuit(s) internal to the wireless stimulator device 114 can capture the energy radiated by the TX antenna 110 and convert this energy to an electrical waveform. The receiver circuit(s) may further modify the waveform to create an electrical pulse suitable for the stimulation of neural tissue.


In some implementations, the RF pulse generator module 106 can remotely control the stimulus parameters (that is, the parameters of the electrical pulses applied to the neural tissue) and monitor feedback from the wireless stimulator device 114 based on RF signals received from the implanted wireless stimulator device 114. A feedback detection algorithm implemented by the RF pulse generator module 106 can monitor data sent wirelessly from the implanted wireless stimulator device 114, including information about the energy that the implanted wireless stimulator device 114 is receiving from the RF pulse generator and information about the stimulus waveform being delivered to the electrodes. In order to provide an effective therapy for a given medical condition, the system can be tuned to provide the optimal amount of excitation or inhibition to the nerve fibers by electrical stimulation. A closed loop feedback control method can be used in which the output signals from the implanted wireless stimulator device 114 are monitored and used to determine the appropriate level of neural stimulation for maintaining effective therapy, or, in some cases, open loop control can be used.



FIG. 2 depicts a detailed diagram of an example of the wireless stimulation system. As depicted, the programming module 102 may comprise user input system 202 and communication subsystem 208. The user input system 221 may allow various parameter settings to be adjusted (in some cases, in an open loop fashion) by the user in the form of instruction sets. The communication subsystem 208 may transmit these instruction sets (and other information) via the wireless connection 104, such as Bluetooth or Wi-Fi, to the RF pulse generator module 106, as well as receive data from module 106.


For instance, the programmer module 102, which can be utilized for multiple users, such as a patient's control unit or clinician's programmer unit, can be used to send stimulation parameters to the RF pulse generator module 106. The stimulation parameters that can be controlled may include pulse amplitude, pulse frequency, and pulse width in the ranges shown in Table 1. In this context the term pulse refers to the phase of the waveform that directly produces stimulation of the tissue; the parameters of the charge-balancing phase (described below) can similarly be controlled. The patient and/or the clinician can also optionally control overall duration and pattern of treatment.









TABLE 1





Stimulation Parameter



















Pulse Amplitude:
0 to 25
mA



Pulse Frequency:
0 to 20000
Hz



Pulse Width:
0 to 2
ms










The RF pulse generator module 106 may be initially programmed to meet the specific parameter settings for each individual patient during the initial implantation procedure. Because medical conditions or the tissue properties can change over time, the ability to re-adjust the parameter settings may be beneficial to ensure ongoing efficacy of the neural modulation therapy.


The programmer module 102 may be functionally a smart device and associated application. The smart device hardware may include a CPU 206 and be used as a vehicle to handle touchscreen input on a graphical user interface (GUI) 204, for processing and storing data.


The RF pulse generator module 106 may be connected via wired connection 108 to an external TX antenna 110. Alternatively, both the antenna and the RF pulse generator are located subcutaneously (not shown).


The signals sent by RF pulse generator module 106 to the implanted wireless stimulator device 114 may include both power and parameter-setting attributes in regards to stimulus waveform, amplitude, pulse width, and frequency. The RF pulse generator module 106 can also function as a wireless receiving unit that receives feedback signals from the implanted wireless stimulator device 114. To that end, the RF pulse generator module 106 may contain microelectronics or other circuitry to handle the generation of the signals transmitted to the device 114 as well as handle feedback signals, such as those from the stimulator device 114. For example, the RF pulse generator module 106 may comprise controller subsystem 214, high-frequency oscillator 218, RF amplifier 216, a RF switch, and a feedback subsystem 212.


The controller subsystem 214 may include a CPU 230 to handle data processing, a memory subsystem 228 such as a local memory, communication subsystem 234 to communicate with programmer module 102 (including receiving stimulation parameters from programmer module), pulse generator circuitry 236, and digital/analog (D/A) converters 232.


The controller subsystem 214 may be used by the patient and/or the clinician to control the stimulation parameter settings (for example, by controlling the parameters of the signal sent from RF pulse generator module 106 to the stimulator device 114). These parameter settings can affect, for example, the power, current level, or shape of the one or more electrical pulses. The programming of the stimulation parameters can be performed using the programming module 102, as described above, to set the repetition rate, pulse width, amplitude, and waveform that will be transmitted by RF energy to the receiving (RX) antenna 238, typically a dipole antenna (although other types may be used), in the implanted wireless stimulation device 214. The clinician may have the option of locking and/or hiding certain settings within the programmer interface, thus limiting the patient's ability to view or adjust certain parameters because adjustment of certain parameters may require detailed medical knowledge of neurophysiology, neuro-anatomy, protocols for neural modulation, and safety limits of electrical stimulation.


The controller subsystem 214 may store received parameters in the local memory subsystem 228, until the parameters are modified by new data received from the programming module 102. The CPU 206 may use the parameters stored in the local memory to control the RF pulse generator circuitry 236 to generate a pulse timing waveform that is modulated by a high frequency oscillator 218 in the range from 300 MHz to 8 GHz (preferably between about 700 MHz and 5.8 GHz and more preferably between about 800 MHz and 1.3 GHz). The resulting RF signal may then be amplified by RF amplifier 226 and then sent through an RF switch 223 to the TX antenna 110 to reach through depths of tissue to the RX antenna 238.


In some implementations, the RF signal sent by TX antenna 110 may simply be a power transmission signal used by the wireless stimulation device module 114 to generate electric pulses. In other implementations, a digital signal may also be transmitted to the wireless stimulator device 114 to send instructions about the configuration of the wireless stimulator device 114. The digital signal is used to modulate the carrier signal that is coupled onto the implanted antenna(s) 238 and does not interfere with the input received on the same stimulator device to power the device. In one embodiment the digital signal and powering signal are combined into one signal, where the digital signal is used to modulate the RF powering signal, and thus the wireless stimulation device is powered directly by the received digital signal; separate subsystems in the wireless stimulation device harness the power contained in the signal and interpret the data content of the signal.


The RF switch 223 may be a multipurpose device such as a dual directional coupler, which passes the RF pulses to the TX antenna 110 with minimal insertion loss while simultaneously providing two low-level outputs to the feedback subsystem 212; one output delivers a forward power signal to the feedback subsystem 212, where the forward power signal is an attenuated version of the RF pulse sent to the TX antenna 110, and the other output delivers a reverse power signal to a different port of the feedback subsystem 212, where reverse power is an attenuated version of the reflected RF energy from the TX Antenna 110. The reflected RF energy and/or RF signals from the wireless stimulator device 114 are processed in the feedback subsystem 212.


The feedback subsystem 212 of the RF pulse generator module 106 may include reception circuitry to receive and extract telemetry or other feedback signals from the wireless stimulator device 114 and/or reflected RF energy from the signal sent by TX antenna 110. The feedback subsystem may include an amplifier 226, a filter 224, a demodulator 222, and an A/D converter 220.


The feedback subsystem 212 receives the forward power signal and converts this high-frequency AC signal to a DC level that can be sampled and sent to the controller subsystem 214. In this way the characteristics of the generated RF pulse can be compared to a reference signal within the controller subsystem 214. If a disparity (error) exists in any parameter, the controller subsystem 214 can adjust the output to the RF pulse generator 106. The nature of the adjustment can be, for example, proportional to the computed error. The controller subsystem 214 can incorporate additional inputs and limits on its adjustment scheme such as the signal amplitude of the reverse power and any predetermined maximum or minimum values for various pulse parameters.


The reverse power signal can for example be used to detect fault conditions in the RF-power delivery system. In an ideal condition, when the TX antenna 110 has perfectly matched impedance to the tissue that it contacts, the electromagnetic waves generated from the RF pulse generator 106 pass unimpeded from the TX antenna 110 into the body tissue. However, in real-world applications a large degree of variability may exist in the body types of users, types of clothing worn, and positioning of the antenna 110 relative to the body surface. Since the impedance of the antenna 110 depends on the relative permittivity of the underlying tissue and any intervening materials, and also depends on the overall separation distance of the antenna from the skin, in any given application there can be an impedance mismatch at the interface of the TX antenna 110 with the body surface. When such a mismatch occurs, the electromagnetic waves sent from the RF pulse generator 106 are partially reflected at this interface, and this reflected energy propagates backward through the antenna feed.


The dual directional coupler RF switch 223 may prevent the reflected RF energy propagating back into the amplifier 226, and may attenuate this reflected RF signal and send the attenuated signal as the reverse power signal to the feedback subsystem 212. The feedback subsystem 212 can convert this high-frequency AC signal to a DC level that can be sampled and sent to the controller subsystem 214. The controller subsystem 214 can then calculate the ratio of the amplitude of the reverse power signal to the amplitude of the forward power signal. The ratio of the amplitude of reverse power signal to the amplitude level of forward power may indicate severity of the impedance mismatch.


In order to sense impedance mismatch conditions, the controller subsystem 214 can measure the reflected-power ratio in real time, and according to preset thresholds for this measurement, the controller subsystem 214 can modify the level of RF power generated by the RF pulse generator 106. For example, for a moderate degree of reflected power the course of action can be for the controller subsystem 214 to increase the amplitude of RF power sent to the TX antenna 110, as would be needed to compensate for slightly non-optimum but acceptable TX antenna coupling to the body. For higher ratios of reflected power, the course of action can be to prevent operation of the RF pulse generator 106 and set a fault code to indicate that the TX antenna 110 has little or no coupling with the body. This type of reflected-power fault condition can also be generated by a poor or broken connection to the TX antenna. In either case, it may be desirable to stop RF transmission when the reflected-power ratio is above a defined threshold, because internally reflected power can result in unwanted heating of internal components, and this fault condition means the system cannot deliver sufficient power to the implanted wireless stimulation device and thus cannot deliver therapy to the user.


The controller 242 of the wireless stimulator device 114 may transmit informational signals, such as a telemetry signal, through the antenna 238 to communicate with the RF pulse generator module 106. For example, the telemetry signal from the wireless stimulator device 114 may be coupled to its dipole antenna(s) 238. The antenna(s) 238 may be connected to electrodes 254 in contact with tissue to provide a return path for the transmitted signal. An A/D (not shown) converter can be used to transfer stored data to a serialized pattern that can be transmitted on the pulse-modulated signal from the internal antenna(s) 238 of the wireless stimulator device 114.


A telemetry signal from the implanted wireless stimulator device 114 may include stimulus parameters such as the power or the amplitude of the current that is delivered to the tissue from the electrodes. The feedback signal can be transmitted to the RF pulse generator module 116 to indicate the strength of the stimulus at the nerve bundle by means of coupling the signal to the implanted RX antenna 238, which radiates the telemetry signal to the external (or remotely implanted) RF pulse generator module 106. The feedback signal can include either or both an analog and digital telemetry pulse modulated carrier signal. Data such as stimulation pulse parameters and measured characteristics of stimulator performance can be stored in an internal memory device within the implanted stimulator device 114, and can be sent via the telemetry signal. The frequency of the carrier signal may be in the range of at 300 MHz to 8 GHz (preferably between about 700 MHz and 5.8 GHz and more preferably between about 800 MHz and 1.3 GHz).


In the feedback subsystem 212, the telemetry signal can be down-modulated using demodulator 222 and digitized through an analog to digital (A/D) converter 220. The digital telemetry signal may then be routed to a CPU 230 for interpretation. The CPU 230 of the controller subsystem 214 can compare the reported stimulus parameters to those held in local memory 228 to verify the wireless stimulator device 114 delivered the specified stimuli to tissue. For example, if the wireless stimulation device reports a lower current than was specified, the power level from the RF pulse generator module 106 can be increased so that the implanted wireless stimulator device 114 will have more available power for stimulation. The implanted wireless stimulator device 114 could alternatively generate telemetry data in real time, for example, at a rate of 8 Kbits per second. All feedback data received from the implanted stimulator device 114 can be logged against time and sampled to be stored for retrieval to a remote monitoring system accessible by the health care professional.


The RF signals received by the internal antenna(s) 238 may be conditioned into waveforms that are controlled within the implantable wireless stimulator device 114 by the control subsystem 242 and routed to the appropriate electrodes 254 that are placed in proximity to the tissue to be stimulated. For instance, the RF signal transmitted from the RF pulse generator module 106 may be received by RX antenna 238 and processed by circuitry, such as waveform conditioning circuitry 240, within the implanted wireless stimulator device 114 to be converted into electrical pulses applied to the electrodes 254 through electrode interface 252. In some implementations, the implanted wireless stimulator device 114 contains between two to sixteen electrodes 254.


The waveform conditioning circuitry 240 may include a rectifier 244. The rectified signal may be fed to the controller 242 for receiving encoded instructions from the RF pulse generator module 106. The rectifier signal may also be fed to a charge balance component 246 that is configured to create one or more electrical pulses such that the one or more electrical pulses result in a charge balanced electrical stimulation waveform at the one or more electrodes. The charge-balanced pulses are passed through the current limiter 248 to the electrode interface 252, which applies the pulses to the electrodes 254 as appropriate.


The current limiter 248 insures the current level of the pulses applied to the electrodes 254 is not above a threshold current level. In some implementations, an amplitude (for example, current level, voltage level, or power level) of the received RF pulse directly determines the amplitude of the stimulus. In this case, it may be particularly beneficial to include current limiter 248 to prevent excessive current or charge being delivered through the electrodes, although current limiter 248 may be used in other implementations. Generally, for a given electrode having several square millimeters surface area, it is the charge per phase that should be limited for safety (where the charge delivered by a stimulus phase is the integral of the current). But, in some cases, the limit can instead be placed only on the current amplitude. The current limiter 248 can automatically limit or “clip” the stimulus phase to maintain the phase within the safety limit.


The controller 250 of the stimulator 205 may communicate with the electrode interface 252 to control various aspects of the electrode setup and pulses applied to the electrodes 254. The electrode interface 252 may act as a multiplex and control the polarity and switching of each of the electrodes 254. For instance, in some implementations, the wireless stimulator 106 has multiple electrodes 254 in contact with tissue, and for a given stimulus the RF pulse generator module 106 can assign one or more electrodes to 1) act as a stimulating electrode, 2) act as a return electrode, or 3) be inactive. The assignment can be effectuated by virtue of RF pulse generator module 106 sending instructions to the implantable stimulator 205.


Also, in some implementations, for a given stimulus pulse, the controller 250 may control the electrode interface 252 to divide the current among the designated stimulating electrodes. This control over electrode assignment and current control can be advantageous because in practice the electrodes 254 may be spatially distributed along various neural structures, and through strategic selection of the stimulating electrode location and the proportion of current specified for each location, the aggregate current distribution in tissue can be modified to selectively activate specific neural targets. This strategy of current steering can improve the therapeutic effect for the patient.


In another implementation, the time course of stimuli may be manipulated. A given stimulus waveform may be initiated and terminated at selected times, and this time course may be synchronized across all stimulating and return electrodes; further, the frequency of repetition of this stimulus cycle may be synchronous for all the electrodes. However, controller 250, on its own or in response to instructions from pulse generator 106, can control electrode interface 252 to designate one or more subsets of electrodes to deliver stimulus waveforms with non-synchronous start and stop times, and the frequency of repetition of each stimulus cycle can be arbitrarily and independently specified.


In some implementations, the controller 250 can arbitrarily shape the stimulus waveform amplitude, and it may do so in response to instructions from pulse generator 106. The stimulus phase may be delivered by a constant-current source or a constant-voltage source, and this type of control may generate characteristic waveforms that are static, e.g. a constant-current source generates a characteristic rectangular pulse in which the current waveform has a very steep rise, a constant amplitude for the duration of the stimulus, and then a very steep return to baseline. Alternatively, or additionally, the controller 250 can increase or decrease the level of current at any time during the stimulus phase and/or during the charge-balancing phase. Thus, in some implementations, the controller 250 can deliver arbitrarily shaped stimulus waveforms such as a triangular pulse, sinusoidal pulse, or Gaussian pulse for example. Similarly, the charge-balancing phase can be arbitrarily amplitude-shaped, and similarly a leading anodic pulse (prior to the stimulus phase) may also be amplitude-shaped.


As described above, the wireless stimulator device 114 may include a charge-balancing component 246. Biphasic stimulating current pulses ensure that no net charge appears at the electrode after each stimulation cycle and the electrochemical processes are balanced to prevent net DC currents. The wireless stimulator device 114 may be configured to ensure that the resulting stimulus waveform has a net zero charge. Charge balanced stimuli are thought to have minimal damaging effects on tissue by reducing or eliminating electrochemical reaction products created at the electrode-tissue interface.


In some implementations, the charge balance component 246 uses a DC-blocking capacitor(s) placed electrically in series with the stimulating electrodes and body tissue, between the point of stimulus generation within the stimulator circuitry and the point of stimulus delivery to tissue. In a multi-electrode stimulator, one charge-balance capacitor(s) may be used for each electrode or a centralized capacitor(s) may be used within the stimulator circuitry prior to the point of electrode selection. The stimulus waveform created prior to the charge-balance capacitor, called the drive waveform, may be controlled such that its amplitude is varied during the duration of the drive pulse. The shape of the stimulus waveform may be modified in this fashion to create a physiologically advantageous stimulus.


In some implementations, the wireless stimulator device 114 may create a drive-waveform envelope that follows the envelope of the RF pulse received by the receiving dipole antenna(s) 238. In this case, the RF pulse generator module 106 can directly control the envelope of the drive waveform within the wireless stimulator device 114, and thus no energy storage may be required inside the stimulator itself. In this implementation, the stimulator circuitry may modify the envelope of the drive waveform or may pass it directly to the charge-balance capacitor and/or electrode-selection stage.


In some implementations, the implanted wireless stimulator device 114 may deliver a single-phase drive waveform to the charge balance capacitor or it may deliver multiphase drive waveforms. In the case of a single-phase drive waveform, for example, a negative-going rectangular pulse, this pulse comprises the physiological stimulus phase, and the charge-balance capacitor is polarized (charged) during this phase. After the drive pulse is completed, the charge balancing function is performed solely by the passive discharge of the charge-balance capacitor, where is dissipates its charge through the tissue in an opposite polarity relative to the preceding stimulus. In one implementation, a resistor within the stimulator facilitates the discharge of the charge-balance capacitor.


In the case of multiphase drive waveforms the wireless stimulator may perform internal switching to pass negative-going or positive-going pulses (phases) to the charge-balance capacitor. These pulses may be delivered in any sequence and with varying amplitudes and waveform shapes to achieve a desired physiological effect.


In some implementations, the amplitude and timing of stimulus and charge-balancing phases is controlled by the amplitude and timing of RF pulses from the RF pulse generator module 106, and in others this control may be administered internally by circuitry onboard the wireless stimulator device 114, such as controller 250. In the case of onboard control, the amplitude and timing may be specified or modified by data commands delivered from the pulse generator module 106.


Referring to FIGS. 3A to 3B, some implementation use the microwave field stimulator (MFS) transmitter for wireless power transfer, as illustrated in system level diagram 300. The MFS may include a digital signal processor 301, gain control 302, phase-locked loop 303, gating amplifier 304, pulse-amplitude input matching network 305, boost regulator 306, radio-frequency (RF) amplifier 307, pulse-amplitude harmonic filter 308, antenna 309, tissue boundary 310, passive neural stimulator 311, directional coupler 312, analog-digital converter (ADC) 313, and receiving dipole antenna 314. As illustrated, implanted electrodes may be used to pass pulsatile electrical currents of controllable frequency, pulse width and amplitudes. A variety of therapeutic intra-body electrical stimulation techniques may be utilized to treat conditions that are known to respond to neural modulation.


Digital signal processor 301 may generate pulse parameters such as pulse width, amplitude, and repetition rate. Digital signal processor 301 may feed pulse parameters to gain control 302, which can include a digital to analog converter (DAC). Gain control 302 may generate RF envelope 302A to gating amplifier 304. Digital signal processor 301 may feed phase-locked loop 303 with stimulus timing control 301A, which is a voltage signal that drives crystal XTAL 303A to generate RF carrier burst 303B. RF carrier burst 303B arrives at gating amplifier to modulate RF envelope 302A such that RF pulse 304A is generated to feed pulse-amplitude input matching network 305.


Output from pulse-amplitude input matching network 305 is provided to RF amplifier 307 under a bias voltage from boost regulator 306. Subsequently, a harmonic filter 308 mitigates harmonic distortions and feeds the filtered output as a high power RF pulse to antenna 309. The high power RF pulse is transmitted from antenna 309 through skin layer 310 to reach receiver dipole antenna 314 of the implanted neural stimulator device 311 so that therapies are applied at tissue electrodes.


In some implementations, the Rx antenna 238 and Tx antenna 110 may exhibit mutual coupling. In some implementations the mutual coupling of the Rx antenna 238 and Tx antenna 110 may be observed for the purpose of assessing the state of the Implanted Neural Stimulator 114.


In some implementations an estimated geometric factor may be included in the measurement normalization that may account for the change in mutual coupling for various thicknesses of tissue that separates the Rx antenna 238 from the Tx antenna 110.


Some implementations incorporate RF complex impedance measurement via F Sensor subsystem, which may include an RF phase detector 312A, shown in FIG. 3B. The reflected RF signal is received at antenna 110 and routed via directional coupler 312 to analog-digital converter (ADC) 313, and from this signal the RF impedance, or reflection coefficient, may be calculated.


In some implementations, the wireless stimulation system 100 may utilize the RF reflection measurements to obtain the impedance at the electrode-tissue interface of FIG. 3A. At the implantation site, the extracellular environment around implanted electrodes can change due to insertion-related damage and the presence of the electrodes (foreign material) in the tissue, both of which instigate formation of scar tissue, a compact sheath of cells and extracellular matrix surrounding the implant. Some studies have found that this encapsulating tissue can alter electrical impedance relative to normal (or unscarred) tissue. Since a change of the electrode-tissue impedance may alter the effectiveness of the Implanted Neural Stimulator 114, it would be advantageous for the wireless stimulation system 100 to have the capability of assessing the impedance of the electrode-tissue interface.


In some implementations, based on the deduced impedance of the electrode-tissue interface, the strategy for stimulation can be modified to compensate for the impedance. For example, if the electrode-tissue impedance is found to be highly resistive, the wireless stimulation system 100 may compensate by providing higher voltage to the current driver within the Implantable Neural Stimulator 114.


As discussed in detail through FIGS. 1-2, the RF waveform 112 is received by the stimulator's Rx antenna 238 and subsequently rectified via an RF-to-DC bridge 244 connected to the feed point of the Rx antenna. The received energy is stored in a capacitor in the Implantable Neural Stimulator 114. The energy stored in the capacitor is a function of the charge held by the capacitor and the voltage across the capacitor.


In some implementations, the signal received at the F Sensor of FIG. 3B is processed to deduce the state of charge of the capacitor in the Implanted Neural Stimulator 114. In more detail, the time-varying currents and voltages at the rectifier and capacitor act to create a variable RF impedance at the feed point of Rx antenna 238. When the capacitor has low charge, the RF current flows freely across the bridge 244, which is a near RF short circuit at the feed point. When the capacitor approaches full charge, the RF current is impeded, such that there is a near RF open circuit at the feed point. It follows that the complex impedance at the feed point of Rx antenna 238 is an indicator of the state of charge of the capacitor in the Implanted Neural Stimulator 114. Because the dynamic impedance at the Rx antenna is coupled to the Tx antenna 110, the impedance at the Rx antenna can be observed by the Γ Sensor of FIG. 3B, and from this measurement, the RF pulse generator module 106 can deduce the charge of the capacitor in the Implanted Neural Stimulator 114.


In some implementations, the transmitted RF signal 112 can be judiciously selected to maintain the voltage on the capacitor in the Implanted Neural Stimulator 114 at a desired, constant level. For example, the RF pulse rate and width can be strategically selected to maintain a steady-state delivery of power to the stimulator such that energy is delivered at the same rate that it is consumed by the stimulator circuitry.


In some implementations, the state of charge of the capacitor in the Implanted Neural Stimulator 114 is an indicator of the stimulator's present operational state and environment. The voltage at the capacitor will decay proportionally to the rate at which energy is depleted by the load connected to the capacitor. The load may encompass the load at the stimulator's electrodes (the tissue) and the load of the circuitry associated with transferring charge from the capacitor to the electrodes.


In some implementations, the rate at which charge is depleted from the capacitor in the Implanted Neural Stimulator 114 depends on the stimulus parameters, the electrode-tissue load, and the internal circuitry of the stimulator. By virtue of such dependence, the rate of charge depletion from the capacitor can be used to determine the impedance of the electrode-tissue interface. The rate of charge depletion may reveal an RF impedance characteristic of the Rx antenna 238 from which the electrode-tissue impedance can be extracted. For example, if the electrode-tissue impedance is mostly resistive and is sufficiently low (for example, z=300-500Ω), the intended stimulus current will be driven to the targeted tissue, and the charge on the capacitor will deplete at an expected rate. In contrast, if the electrode-tissue impedance has a high-value resistance or is dominated by series-capacitance, the intended stimulus current may not be delivered. An example of high-value resistance is demonstrated in FIG. 4D below. If the programmed stimulus current is not delivered to the tissue, the charge on the capacitor will deplete at a lower rate than expected. In both cases, the rate of charge depletion may revealed the RF impedance characteristic of the Rx antenna, and from this rate a deduction about the impedance of the electrode-tissue interface can be made.


In some implementations, a circuit internal to the Implanted Neural Stimulator 114 may allow connection of the current-driver circuit to a calibrated internal load.


In some implementations, a calibrated internal load in the Implanted Neural Stimulator 114 may be programmed to specific impedance values. In these implementations, the calibrated internal load can be placed anywhere on the Implanted Neural Stimulator 114.


In some implementations, the Implanted Neural Stimulator 114 may drive current into the calibrated internal load while either the current or the load is swept through a range of values, and the corresponding family of unique complex RF reflection coefficients may be captured for reference. Subsequently, when the stimulator is configured to drive current through the electrode-tissue load, which is unknown, the RF reflection coefficient curve may be captured and compared to the family of reference curves. By matching the curve of the unknown electrode-tissue load to the curve of a known load, the electrode-tissue impedance may be deduced.


In some implementations, a circuit internal to the Implanted Neural Stimulator 114 may facilitate a system self-check to ascertain the suitability of the wireless stimulation system 100 to provide stimulation therapy. For example, for a system self-check, the stimulator may drive various currents into an internal load, and for each current level the average RF power is swept while the RF reflection is observed. These measurements may be used for a reference to compare to electrode-tissue load measurements during the self-check.


For purpose of the analysis it may be advantageous to view the change of the measurand (RF reflection, or reverse RF voltage) relative to its initial value, and the change in the independent variable (average RF power) relative to its initial value. For example, for measurand V, the change would be (V−Vmin). Further, it may be advantageous to normalize the data. The data shown in FIG. 4A through 4B was normalized to the reference measurements as follows: The maximum and minimum RF reflections (reverse RF voltages, Vmax and Vmin) of these reference measurements were extracted, and the difference was used as the normalization factor. For example, the subsequent measurand changes were normalized as follows:







v
=


(

V
-

V
min


)

/

(


V
max

-

V
min


)



,





where V is the measured reverse RF voltage, and v (lower case) implies normalized. Similarly the independent variable changes were normalized as follows:







p
=


(

P
-

P
min


)

/

(


P
max

-

P
min


)



,





where P is the average transmitted RF power and p (lower case) implies normalized.



FIG. 4A shows the reference measurements, normalized change in RF reflection versus normalized change in RF average power for three different currents driven into the internal load. The curves show: 1) minimum current through the internal load (circles), 2) medium current through the internal load (triangles), 3) maximum current through the internal load (squares). In some cases, minimum can be around 0.1 mA; medium can be around 6 mA; and maximum can be around 12 mA. In the case of low current, the charge on the capacitor builds steadily higher as the average RF power is increased. This is indicated on the plot (circles) by the rising trajectory of the RF reflection. In the case of medium current, the charge on the capacitor remains relatively flat as the average RF power is increased. This is indicated on the plot (triangles) by the relatively flat trajectory of the RF reflection. For the case of high current, the charge on the capacitor remains relatively flat (but at different level) as the average RF power is increased. This is indicated on the plot (squares) by the relatively flat trajectory (at a higher level) of the RF reflection.


In some implementations, the wireless stimulation system 100 self-check may include various fault checks. For example, when the Implanted Neural Stimulator 114 is energized but not programmed to drive stimulus current, the RF reflection should be similar to that shown for the minimum-current case of FIG. 4A. This is shown in FIG. 4B, where the RF reflection for the un-configured stimulator (dashed line) is overlaid onto the plots of FIG. 4A.


Further, based on the reference measurements shown in FIG. 4A, it is feasible for the system to test for a fault in the stimulus-current driver (such as a broken electrode). For example, the Implanted Neural Stimulator 114 could be programmed to drive stimulus current through selected pairs of electrodes, and the RF reflection for each pair is compared against the reference measurements in FIG. 4A. When the stimulator is programmed to drive a given stimulus current through tissue, the RF reflection should be similar to that of when the same current is driven through the internal load. However, should there be a damaged wire at the electrode, for example, the current through the circuit would be blocked, meaning the RF reflection would resemble the minimum-current curve of FIG. 4A. This case is shown in FIG. 4C, plotted with the reference measurements of FIG. 4A.


Further, during normal operation, the tissue impedance may be unknown, however, it will likely be within an expected range, and a fault-check could verify this condition. To illustrate, FIG. 4D shows the RF reflection (dashed line) when a 500Ω resistor is connected in series with the electrodes, and a medium current is delivered. The result shows the RF reflection falls within the expected range. However, for example, if the result showed the RF reflection overlaid the low-current curve, a fault would be evident.


By capturing the reflected RF signal and applying the analysis methods described herein, it is possible to measure the impedance at the electrode-tissue interface. Furthermore, by measuring said impedance, the system may adjust stimulus parameters to compensate, thereby maintaining the efficacy of stimulation.



FIG. 5 shows an example of a flow chart 500 for implementing stimulation adjustment on an implantable wireless stimulator device based on sensing of tissue-electrode impedance. As illustrated by step 502, a first set of radio-frequency (RF) pulses are transmitted from an external pulse generator (such as RF pulse generator module 106) to an implantable wireless stimulator device (such as implanted neural stimulator 114) via non-inductive electric radiative coupling. Consistent with discussions from FIGS. 1-3, electric currents are created from the first set of RF pulses and flown through a calibrated internal load on the implantable wireless stimulator device. The calibrated internal load represents a load condition that is pre-determined and imposed on, for example, an electrode on implanted neural stimulator 114.


In response to the electric currents flown through the calibrated internal load, flow chart 500 proceeds to recording, on the external pulse generator, a first set of RF reflection measurements (504). This recording measures, for example, RF signals reflected from the implantable neural stimulator 114 and received by RF pulse generator module 106.


Next, a second set of radio-frequency (RF) pulses are transmitted, from the external pulse generator and via electric radiative coupling, to the implantable wireless stimulator device such that stimulation currents are created from the second set of RF pulses and flown through an electrode of the implantable wireless stimulator device to tissue surrounding the electrode (506). Here, the stimulation currents flow through the stimulator circuitry, the electrode, and the electrode-tissue interface.


In response to the stimulation currents flown through the electrode to the surrounding tissue, a second set of RF reflection measurements is recorded on the external pulse generator (508). This second set of reflection measurements are based on RF signals reflected from the implantable neural stimulator 114 and received by RF pulse generator module 106.


By comparing the second set of RF reflection measurements with the first set of RF reflections measurements, an electrode-tissue impedance is characterized (510). When the electrode-tissue impedance is characterized as resistive, one or more input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device can be adjusted such that stimulus currents created from these input pulses on the implantable wireless stimulator device are likewise adjusted to compensate for a resistive electrode-tissue impedance. When the electrode-tissue impedance is characterized as capacitive, one or more input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device can be adjusted such that stimulus currents created from these input pulses on the implantable wireless stimulator device are likewise adjusted to compensate for a capacitive electrode-tissue impedance. Here, the adjustment of input pulses involves maintaining a steady-state delivery of electrical power to the implantable wireless stimulator device such that electrical energy is extracted from the input pulses as fast as electrical energy is consumed to generate the stimulus currents with one or more pulse parameters that have been varied to accommodate the resistive electrode-tissue impedance. Such stimulus currents are delivered from the electrode to the surrounding tissue. Examples of pulse parameters include: a pulse width, a pulse amplitude, and a pulse frequency.


Based on results of characterizing the electrode-tissue impedance, a stimulation session can be automatically chosen. The selection process may include: determining input pulses to be transmitted by the external pulse generator to the implantable wireless stimulator device such that stimulus currents are created on the implantable wireless stimulator device and delivered by the electrode on the implantable wireless stimulator device to the surrounding tissue in a manner that, for example, maintains therapy consistency despite variations in electrode-tissue impedance. In one instance, the second set of radio-frequency (RF) pulses may be updated to obtain updated second set of RF reflection measurements; and then the updated second set of RF reflection measurements may be compared with the first set of RF reflection measurements. In this instance, the updating and comparing steps can be performed iteratively until desired RF reflection measurements are obtained.


The characterizing step may also lead to automatic fault checking according to results from such characterization. In one instance, automatic fault checking includes automatic detecting a damaged wire in a circuit leading to the electrode on the implantable wireless stimulator device, as illustrated in, for example, FIG. 4C.


A number of implementations have been described. Nevertheless, it will be understood that various modifications may be made. Accordingly, other implementations are within the scope of the following claims.

Claims
  • 1. A method of operating an external pulse generator and an associated implantable wireless stimulator that applies stimulation to surrounding internal tissue, the method comprising: non-inductively transmitting, from an antenna of the external pulse generator to an antenna of the implantable wireless stimulator, three or more radio-frequency (RF) signals, energy from the radio-frequency (RF) signals being applied to internal tissue adjacent one or more electrodes of the implantable wireless stimulator;receiving, at the external pulse generator antenna, a reflected RF signal for each of the transmitted RF signals such that three or more reflected RF signals are received, the reflected RF signals resulting from at least a total impedance of the implantable wireless stimulator;detecting a rate-of-change of power of the reflected RF signals, the rate-of-change of power indicating how power changes from a first of the reflected RF signals to a last of the reflected RF signals; anddetermining, based on the rate-of-change of power of the reflected RF signals, a sub-impedance of the total impedance, the sub-impedance including only an electrode-tissue impedance at an electrode-tissue interface between the internal tissue and the one or more electrodes of the implantable wireless stimulator.
  • 2. The method of claim 1, further comprising storing, by the implantable wireless stimulator, the energy from the RF signals as charge in one or more capacitors of the implantable wireless stimulator, the charge then being applied to the internal tissue adjacent one or more electrodes of the implantable wireless stimulator, the rate-of-change of power of the reflected RF signals indicating a rate-of-charge depletion of the one or more capacitors as the charge is applied to the internal tissue.
  • 3. The method of claim 1, wherein a power level of each of the RF signals when transmitted is different regardless of a power level of the reflected RF signals.
  • 4. The method of claim 3, wherein the power level of each of the RF signals is increased as compared to a power level of a previously transmitted RF signal.
  • 5. The method of claim 4, wherein the determining the electrode-tissue impedance at the electrode-tissue interface includes comparing the rate-of-change of power of the reflected RF signals to one or more known rates-of-change of power of second reflected RF signals reflected from the implantable wireless stimulator, the second reflected RF signals obtained by transmitting second RF signals with power levels the same as the power levels of the RF signals and a driving circuit, configured to apply the energy to the internal tissue, being configured to be coupled to a known impedance to drive energy through the known impedance and not through the internal tissue when the second RF signals are transmitted.
  • 6. The method of claim 1, further comprising modifying the RF signals to compensate for the electrode-tissue impedance.
  • 7. The method of claim 6, wherein modifying the RF signals comprises modifying one or more of a pulse width, a pulse frequency, and a pulse amplitude.
  • 8. The method of claim 1, wherein the implantable wireless stimulator includes a plurality of electrodes, the method includes repeating the steps of non-inductively transmitting, receiving, detecting, and determining, for each of the electrodes to determine an electrode-tissue impedance for each of the plurality of electrodes.
  • 9. The method of claim 1, wherein determining the sub-impedance includes determining a malfunction of one of the one or more electrodes based on the rate-of-change of power of the reflected RF signals.
  • 10. The method of claim 1, further comprising adjusting a voltage provided to a current driver in the implantable wireless stimulator to compensate for the electrode-tissue impedance.
  • 11. A method of operating an external pulse generator and an associated implantable wireless stimulator that applies stimulation to surrounding internal tissue, the method comprising: non-inductively transmitting, from an antenna of the external pulse generator to an antenna of the implantable wireless stimulator, three or more radio-frequency (RF) signals;storing, in one or more capacitors of the implantable wireless stimulator, energy transmitted with the RF signals, energy from which is to be applied to internal tissue adjacent one or more electrodes of the implantable wireless stimulator via a driving circuit of the implantable wireless stimulator;receiving, at the external pulse generator antenna, a reflected RF signal for each of the transmitted RF signals such that three or more reflected RF signals are received, the reflected RF signals resulting from at least a total impedance of the implantable wireless stimulator, wherein a power level of each of the RF signals when transmitted is increased as compared to a power level of a previously transmitted RF signal regardless of a power level of the reflected RF signals;determining, using the reflected RF signals, a rate-of-change of power of the reflected RF, the rate-of-change of power indicating how power changes from a first of the reflected RF signals to a last of the reflected RF signals;comparing the rate-of-change of power of the reflected RF signals to one or more known rates-of-change of power of second reflected RF signals reflected from the implantable wireless stimulator, the second reflected RF signals obtained by transmitting second RF signals with power levels the same as the power levels of the RF signals and the driving circuit of the implantable wireless stimulator being configured to be coupled to a known impedance to drive energy through the known impedance and not through the internal tissue when the second RF signals are transmitted; anddetermining, based on the comparison, a sub-impedance of the total impedance, the sub-impedance including only an electrode-tissue impedance at an electrode-tissue interface between the internal tissue and the one or more electrodes of the implantable wireless stimulator.
  • 12. A system comprising: an implantable wireless stimulator device comprising: a first antenna;one or more electrodes; andone or more capacitors electrically connected to the first antenna and to the one or more electrodes; andan external pulse generator comprising: a second antenna configured to: non-inductively transmit, to the first antenna, three or more radio-frequency (RF) signals, energy from the RF signals being applied to internal tissue adjacent the one or more electrodes, andreceive a reflected RF signal for each of the transmitted RF signals such that three or more reflected RF signals are received, the reflected RF signals resulting from at least a total impedance of the implantable wireless stimulator, wherein a power level of each of the RF signals when transmitted is different regardless of a power level of the reflected RF signals; and circuitry to:detect a rate-of-change of power of the reflected RF signals, the rate-of-change of power indicating how power changes from a first of the reflected RF signals to a last of the reflected RF signals; anddetermine, based on the rate-of-change of power of the reflected RF signals, a sub-impedance of the total impedance, the sub-impedance including only an electrode-tissue impedance at an electrode-tissue interface between the internal tissue and the one or more electrodes of the implantable wireless stimulator.
  • 13. The system of claim 12, wherein the one or more capacitors stores energy transmitted with the one or more RF signals, the rate-of-change of power of the reflected RF signals indicating a rate-of-charge depletion of the one or more capacitors as a charge from the one or more capacitors is applied to the internal tissue.
  • 14. The system of claim 13, further comprising transmitting the RF signals to maintain a particular voltage of the one or more capacitors.
  • 15. The system of claim 12, wherein a power level of each of the RF signals when transmitted is increased as compared to a power level of a previously transmitted RF signal.
  • 16. The system of claim 12, wherein the determine the electrode-tissue impedance at the electrode-tissue interface includes comparing the rate-of-change of power of the reflected RF signals to one or more known rates-of-change of power of second reflected RF signals reflected from the implantable wireless stimulator, the second reflected RF signals obtained by transmitting second RF signals at same power levels as the power levels of the RF signals and a driving circuit, configured to apply the energy to the internal tissue, being configured to be coupled to a known impedance to drive energy through the known impedance and not through the internal tissue when the second RF signals are transmitted.
  • 17. The system of claim 16, wherein the implantable wireless stimulator device includes a plurality of electrodes and the electrode-tissue impedance is determined for one electrode, and the second antenna is further configured to transmit a plurality of third RF signals to determine an electrode-tissue impedance of another of the plurality of electrodes.
  • 18. The system of claim 12, wherein the circuitry automatically modifies the RF signals to compensate for the electrode-tissue impedance.
  • 19. The system of claim 12, wherein the implantable wireless stimulator device further comprises a current driver electrically connected to the one or more capacitors and electrodes, wherein a voltage provided to the current driver is adjusted to compensate for the electrode-tissue impedance.
  • 20. The method of claim 11, wherein comparing the rate-of-change of power of the reflected RF signals to the one or more known rates-of-change of power of the second reflected RF signals includes comparing the rate-of-change of power of the reflected RF signals to a plurality of rates-of-change of power of the second reflected RF signals, each of the plurality of rates-of-change of power is determined using a different subset of the second reflected RF signals and using a different known impedance such that each the plurality of rates-of-change of power are determined using a different known impedance coupled to the driving circuit of the implantable wireless stimulator.
RELATED APPLICATIONS

This application is a continuation of U.S. application Ser. No. 16/265,669, filed Feb. 1, 2019, which claims the benefit of U.S. Provisional Application Ser. No. 62/624,982, filed Feb. 1, 2018. Both of these prior applications are incorporated by reference in their entirety.

US Referenced Citations (303)
Number Name Date Kind
2990547 McDougal Jun 1961 A
3662758 Glover May 1972 A
3663758 Erbert May 1972 A
3727616 Lenzkes Apr 1973 A
4057069 Dorffer et al. Nov 1977 A
4102344 Conway et al. Jul 1978 A
4223679 Schulman et al. Sep 1980 A
4494950 Fischell Jan 1985 A
4524774 Hildebrandt Jun 1985 A
4525774 Kino et al. Jun 1985 A
4532930 Crosby Aug 1985 A
4561443 Hogrefe et al. Dec 1985 A
4592359 Galbraith Jun 1986 A
4612934 Borkan Sep 1986 A
4628933 Michelson Dec 1986 A
4665896 LaForge May 1987 A
4726378 Kaplan Feb 1988 A
4736747 Drake Apr 1988 A
4736752 Munck Apr 1988 A
4741339 Harrison et al. May 1988 A
4750499 Hoffer Jun 1988 A
4793353 Borkan Dec 1988 A
4837049 Byers et al. Jun 1989 A
4926879 Sevrain May 1990 A
4947844 McDermott Aug 1990 A
5058581 Silvian Oct 1991 A
5070535 Hochmair et al. Dec 1991 A
5193539 Schulman et al. Mar 1993 A
5262793 Sperry Nov 1993 A
5314458 Najafi et al. May 1994 A
5343766 Lee Sep 1994 A
5358514 Schulman et al. Oct 1994 A
5411535 Fujii et al. May 1995 A
5583510 Ponnapalli et al. Dec 1996 A
5591217 Barreras Jan 1997 A
5626630 Markowitz et al. May 1997 A
5735887 Barreras, Sr. et al. Apr 1998 A
5769877 Barreras Jun 1998 A
5861019 Sun et al. Jan 1999 A
5991664 Seligman Nov 1999 A
5995874 Borza Nov 1999 A
6141588 Cox et al. Oct 2000 A
6164284 Shulman et al. Dec 2000 A
6175752 Say et al. Jan 2001 B1
6321118 Hahn Nov 2001 B1
6364889 Kheiri et al. Apr 2002 B1
6415184 Ishikawa et al. Jul 2002 B1
6445953 Bulkes et al. Sep 2002 B1
6445955 Michelson et al. Sep 2002 B1
6458157 Suaning Oct 2002 B1
6463336 Mawhinney Oct 2002 B1
6516227 Meadows et al. Feb 2003 B1
6564807 Schulman et al. May 2003 B1
6611715 Boveja Aug 2003 B1
6615081 Boveja Sep 2003 B1
6647296 Fischell et al. Nov 2003 B2
6662052 Sarwal et al. Dec 2003 B1
6684104 Gordon et al. Jan 2004 B2
6690974 Archer et al. Feb 2004 B2
6889086 Mass et al. May 2005 B2
6895280 Meadows et al. May 2005 B2
6972727 West et al. Dec 2005 B1
7003350 Denker et al. Feb 2006 B2
7027874 Sawan et al. Apr 2006 B1
7110823 Whitehurst et al. Sep 2006 B2
7177690 Woods et al. Feb 2007 B2
7214189 Zdeblick May 2007 B2
7277728 Kauhanen Oct 2007 B1
7283875 Larsson Oct 2007 B2
7317947 Wahlstrand et al. Jan 2008 B2
7436752 He Oct 2008 B2
7450992 Cameron Nov 2008 B1
7471257 Candal et al. Dec 2008 B2
7489248 Gengel et al. Feb 2009 B2
7616991 Mann et al. Nov 2009 B2
7620451 Demarais Nov 2009 B2
7630771 Cauller Dec 2009 B2
7664552 Wahlstrand et al. Feb 2010 B2
7729781 Swoyer et al. Jun 2010 B2
7738963 Hickman et al. Jun 2010 B2
7738964 Von Arx et al. Jun 2010 B2
7765013 Blick et al. Jul 2010 B2
7853333 Demarais Dec 2010 B2
7869885 Begnaud et al. Jan 2011 B2
7894905 Pless et al. Feb 2011 B2
7904170 Harding Mar 2011 B2
7908014 Schulman et al. Mar 2011 B2
7917226 Nghiem et al. Mar 2011 B2
7939346 Blick et al. May 2011 B2
8170672 Weiss et al. May 2012 B2
8242968 Conrad et al. Aug 2012 B2
8320850 Khlat Nov 2012 B1
8332040 Winstrom Dec 2012 B1
8634928 O'Drisco et al. Jan 2014 B1
D714288 Aumiller et al. Sep 2014 S
8847548 Kesler et al. Sep 2014 B2
8849412 Perryman et al. Sep 2014 B2
8903502 Perryman Dec 2014 B2
D721701 Al-Nasser Jan 2015 S
D725071 Lee et al. Mar 2015 S
D725072 Kim et al. Mar 2015 S
D725652 Ishii Mar 2015 S
D734330 Huang et al. Jul 2015 S
9220897 Perryman et al. Dec 2015 B2
9242103 Perryman et al. Jan 2016 B2
9254393 Perryman et al. Feb 2016 B2
9409030 Perryman et al. Aug 2016 B2
9446255 Towe et al. Sep 2016 B2
9566449 Perryman et al. Feb 2017 B2
9757571 Perryman Sep 2017 B2
9789314 Perryman Oct 2017 B2
9974965 Andresen et al. May 2018 B2
10238874 Perryman Mar 2019 B2
10293169 Perryman et al. May 2019 B2
10315039 Perryman et al. Jun 2019 B2
10420947 Larson et al. Sep 2019 B2
10471262 Perryman et al. Nov 2019 B2
10953228 Perryman et al. Mar 2021 B2
20010010662 Saitou et al. Aug 2001 A1
20020058972 Minogue et al. May 2002 A1
20020082668 Ingman Jun 2002 A1
20020091420 Minogue et al. Jul 2002 A1
20020095195 Mass Jul 2002 A1
20020103513 Minogue et al. Aug 2002 A1
20020123779 Von Arx et al. Sep 2002 A1
20020128686 Minogue et al. Sep 2002 A1
20020128693 Minogue et al. Sep 2002 A1
20020133195 Minogue et al. Sep 2002 A1
20030078633 Firlik et al. Apr 2003 A1
20030114898 Von Arx et al. Jun 2003 A1
20030114899 Woods et al. Jun 2003 A1
20030139782 Duncan et al. Jul 2003 A1
20030169207 Beigel Sep 2003 A1
20030204224 Torgerson et al. Oct 2003 A1
20040044385 Fenn et al. Mar 2004 A1
20040059392 Parramon et al. Mar 2004 A1
20040082979 Tong et al. Apr 2004 A1
20040127942 Yomtov et al. Jul 2004 A1
20040138723 Malick et al. Jul 2004 A1
20040167587 Thompson et al. Aug 2004 A1
20040176803 Whelan et al. Sep 2004 A1
20040220621 Zhou Nov 2004 A1
20040230263 Samulski Nov 2004 A1
20040243208 Jordan Dec 2004 A1
20050027207 Westbrook et al. Feb 2005 A1
20050119716 McClure et al. Jun 2005 A1
20050137668 Khan Jun 2005 A1
20050245994 Varrichio et al. Nov 2005 A1
20060001583 Bisig Jan 2006 A1
20060003721 Bisig Jan 2006 A1
20060047327 Colvin et al. Mar 2006 A1
20060085039 Hastings et al. Apr 2006 A1
20060085042 Hastings et al. Apr 2006 A1
20060149331 Man et al. Jul 2006 A1
20060161216 Constance Jul 2006 A1
20060161225 Sormann et al. Jul 2006 A1
20060178718 Jordan Aug 2006 A1
20060206168 Minogue et al. Sep 2006 A1
20060287686 Cullen et al. Dec 2006 A1
20060289528 Chiu et al. Dec 2006 A1
20070055322 Forsberg et al. Mar 2007 A1
20070055324 Thompson et al. Mar 2007 A1
20070066995 Strother et al. Mar 2007 A1
20070100385 Rawat May 2007 A1
20070100395 Ibrahim May 2007 A1
20070100935 Miyazaki et al. May 2007 A1
20070106337 Errico et al. May 2007 A1
20070109208 Turner May 2007 A1
20070112402 Grill et al. May 2007 A1
20070123948 Dal Molin May 2007 A1
20070156179 S.E. Jul 2007 A1
20070208394 King et al. Sep 2007 A1
20070213773 Hill et al. Sep 2007 A1
20070213783 Pless Sep 2007 A1
20070239224 Bennett et al. Oct 2007 A1
20070254632 Beadle et al. Nov 2007 A1
20070255223 Phillips et al. Nov 2007 A1
20070255373 Metzler et al. Nov 2007 A1
20070257636 Phillips et al. Nov 2007 A1
20070265543 VanSickle et al. Nov 2007 A1
20070265690 Lichtenstein et al. Nov 2007 A1
20070288066 Christman et al. Dec 2007 A1
20070293909 Cowan et al. Dec 2007 A1
20080010358 Jin Jan 2008 A1
20080046012 Covalin et al. Feb 2008 A1
20080077184 Denker et al. Mar 2008 A1
20080077188 Denker et al. Mar 2008 A1
20080077189 Ostroff Mar 2008 A1
20080103558 Wenzel May 2008 A1
20080154217 Carrez et al. Jun 2008 A1
20080161883 Conor Jul 2008 A1
20080266123 Ales et al. Oct 2008 A1
20080279896 Heinen et al. Nov 2008 A1
20080281244 Jacobs Nov 2008 A1
20090018599 Hastings et al. Jan 2009 A1
20090099405 Schneider et al. Apr 2009 A1
20090105784 Massoud-Ansari Apr 2009 A1
20090105795 Minogue et al. Apr 2009 A1
20090125091 Schoenbach et al. May 2009 A1
20090132002 Kieval May 2009 A1
20090132003 Borgens et al. May 2009 A1
20090200985 Zane et al. Aug 2009 A1
20090204170 Hastings et al. Aug 2009 A1
20090234407 Hastings et al. Sep 2009 A1
20090248112 Mumbru et al. Oct 2009 A1
20090251101 Phillips et al. Oct 2009 A1
20090270948 Nghiem et al. Oct 2009 A1
20090270951 Kallmyer Oct 2009 A1
20090292339 Erickson Nov 2009 A1
20100010565 Lichtenstein et al. Jan 2010 A1
20100053789 Duric et al. Mar 2010 A1
20100114143 Albrecht et al. May 2010 A1
20100114198 Donofrio et al. May 2010 A1
20100125269 Emmons et al. May 2010 A1
20100125312 Stevenson et al. May 2010 A1
20100137938 Kishawi et al. Jun 2010 A1
20100168818 Barror et al. Jul 2010 A1
20100174340 Simon Jul 2010 A1
20100179449 Chow et al. Jul 2010 A1
20100198039 Towe Aug 2010 A1
20100198307 Toy et al. Aug 2010 A1
20100231382 Tayrani et al. Sep 2010 A1
20100234919 Minogue et al. Sep 2010 A1
20100234922 Forsell Sep 2010 A1
20100241051 Dacey, Jr. et al. Sep 2010 A1
20100268298 Moffitt et al. Oct 2010 A1
20100269339 Dye et al. Oct 2010 A1
20100298742 Perlman et al. Nov 2010 A1
20100331934 McDonald et al. Dec 2010 A1
20110021887 Crivelli et al. Jan 2011 A1
20110029043 Frysz et al. Feb 2011 A1
20110040350 Griffith Feb 2011 A1
20110054563 Janzig et al. Mar 2011 A1
20110074342 MacLaughlin Mar 2011 A1
20110077698 Tsampazis et al. Mar 2011 A1
20110098583 Pandia et al. Apr 2011 A1
20110106220 DeGiorgio et al. May 2011 A1
20110120822 Kondou et al. May 2011 A1
20110121822 Parsche May 2011 A1
20110125214 Goetz et al. May 2011 A1
20110130804 Lin et al. Jun 2011 A1
20110144468 Boggs et al. Jun 2011 A1
20110152750 Dacey, Jr. et al. Jun 2011 A1
20110166630 Phillips et al. Jul 2011 A1
20110172733 Lima et al. Jul 2011 A1
20110190849 Faltys et al. Aug 2011 A1
20110208266 Minogue et al. Aug 2011 A1
20110245892 Kast et al. Oct 2011 A1
20110276108 Crowe et al. Nov 2011 A1
20120004708 Chen et al. Jan 2012 A1
20120004709 Chen et al. Jan 2012 A1
20120095461 Herscher Apr 2012 A1
20120116477 Crowe et al. May 2012 A1
20120143282 Fukui et al. Jun 2012 A1
20120158407 Forsell Jun 2012 A1
20120194399 Bily et al. Aug 2012 A1
20120215218 Lipani Aug 2012 A1
20120239107 Kallmyer Sep 2012 A1
20120283800 Perryman et al. Nov 2012 A1
20120302821 Burnett Nov 2012 A1
20120330384 Perryman et al. Dec 2012 A1
20130016016 Lin et al. Jan 2013 A1
20130066400 Perryman et al. Mar 2013 A1
20130079849 Perryman et al. Mar 2013 A1
20130131752 Rawat May 2013 A1
20130018439 Chow et al. Jun 2013 A1
20130165991 Kim Jun 2013 A1
20130226262 Stevenson et al. Aug 2013 A1
20130310901 Perryman et al. Nov 2013 A1
20130320773 Schatz Dec 2013 A1
20140031837 Perryman et al. Jan 2014 A1
20140047713 Singh et al. Feb 2014 A1
20140058480 Perryman et al. Feb 2014 A1
20140058481 Perryman et al. Feb 2014 A1
20140169142 Heck et al. Jun 2014 A1
20140266935 Tankiewicz Sep 2014 A1
20140336727 Perryman et al. Nov 2014 A1
20150182753 Harris et al. Jul 2015 A1
20150297900 Perryman Oct 2015 A1
20150321017 Perryman et al. Nov 2015 A1
20160101287 Perryman Apr 2016 A1
20160136438 Perryman et al. May 2016 A1
20160136439 Andresen et al. May 2016 A1
20160339258 Perryman et al. Nov 2016 A1
20160361535 Perryman et al. Dec 2016 A1
20160367825 Perryman et al. Dec 2016 A1
20170036033 Perryman et al. Feb 2017 A9
20170189683 Perryman et al. Jul 2017 A1
20180008828 Perryman Jan 2018 A1
20180169423 Larson et al. Jun 2018 A1
20180236248 Perryman Aug 2018 A1
20180264277 Perryman Sep 2018 A1
20190229771 Lee et al. Jul 2019 A1
20190232057 Perryman et al. Aug 2019 A1
20190247660 Perryman Aug 2019 A1
20190381327 Perryman et al. Dec 2019 A1
20200016415 Perryman et al. Jan 2020 A1
20200016416 Perryman et al. Jan 2020 A1
20200222703 Perryman et al. Jul 2020 A1
20210187311 Perryman et al. Jun 2021 A1
20210275813 Perryman et al. Sep 2021 A1
20220088398 Perryman et al. Mar 2022 A1
20220126105 Perryman et al. Apr 2022 A1
Foreign Referenced Citations (45)
Number Date Country
1678370 Oct 2005 CN
101185789 May 2008 CN
101217320 Jul 2008 CN
101352596 Jan 2009 CN
101773701 Jul 2010 CN
101842131 Sep 2010 CN
201676401 Dec 2010 CN
102120060 Jul 2011 CN
2462981 Jun 2001 EP
1588609 Oct 2005 EP
2694154 Jan 2018 EP
3403690 Aug 2020 EP
2341347 Jun 2010 ES
H10 509901 Sep 1998 JP
2002524124 Aug 2002 JP
2005531371 Oct 2005 JP
2008023353 Feb 2008 JP
2008161667 Jul 2008 JP
2008528222 Jul 2008 JP
2009523402 Jun 2009 JP
2010534114 Nov 2010 JP
201155912 Mar 2011 JP
2011510787 Apr 2011 JP
2012508624 Apr 2012 JP
WO 9620754 Jul 1996 WO
WO 2000013585 Mar 2000 WO
WO 2004002572 Jan 2004 WO
WO 2004004826 Jan 2004 WO
WO 2006113802 Oct 2006 WO
WO 2006128037 Nov 2006 WO
WO 2007059386 May 2007 WO
WO 2007081971 Jul 2007 WO
WO 2009015005 Jan 2009 WO
WO 2010005746 Jan 2010 WO
WO 2010051189 May 2010 WO
WO 2010053789 May 2010 WO
WO 2010057046 May 2010 WO
WO 2010104569 Sep 2010 WO
WO 2011079309 Jun 2011 WO
WO 2012103519 Aug 2012 WO
WO 2012138782 Oct 2012 WO
WO 2013019757 Feb 2013 WO
WO 2013025632 Feb 2013 WO
WO 2013040549 Mar 2013 WO
WO 2017214638 Dec 2017 WO
Non-Patent Literature Citations (54)
Entry
US 5,197,469 A, 03/1993, Adams (withdrawn)
PCT International Preliminary Report on Patentability in International Appln. No. PCT/US2019/016395, dated Aug. 4, 2020, 7 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2019/16395, dated Apr. 30, 2019, 9 pages.
Search Report in European Appln. No. 19746618.8, dated Sep. 14, 2021, 7 pages.
Stensaas et al., “Histopathological Evaluation of Materials Implanted in the Cerebral Cortex,” Acta neuropath. (Berl.) 41,145-155, year 1978, 2 pages.
Turner et al., “Cerebral Astrocyte Response to Micromachined Silicon Implants,” Experimental Neurology 156, 33-49, dated Oct. 30, 1998, 17 pages.
Weiland et al., “Chronic Neural Stimulation with Thin-Film, Iridium Oxide Electrodes,” IEEE Transactions on Biomedic Engineering, vol. 47, Issue 7, dated Aug. 2000, 7 pages.
Williams et al., “Complex impedance spectroscopy for monitoring tissue responses to inserted neural implants,” J. Neural Eng. 4, 410-423, dated Nov. 27, 2007, 14 pages.
U.S. Appl. No. 14/445,159, filed Nov. 13, 2014, Perryman et al.
U.S. Appl. No. 29/478,687, filed Jan. 7, 2003, Perryman et al.
CA Office Action in Canadian Appln. No. 2831138, dated Oct. 30, 2020, 4 pages.
CN OA in Chinese Appln. No. 201710675346.5, dated Jun. 1, 2020, 11 pages (with English translation).
EP European Search Report in European Appln. No. 12831083.6, dated Aug. 17, 2015, 9 pages.
EP European Search Report in European Appln. No. 17208566.4, dated Sep. 26, 2018, 10 pages.
EP Extended European Search Report in European Appln. No. 18150779.9, dated May 9, 2018, 7 pages.
EP Extended European Search Report in European Appln. No. 20209052.8, dated Apr. 14, 2021, 7 pages.
EP Office Action in European Appln. No. 12740011.7, dated Sep. 13, 2018, 5 pages.
European Search Report in European Appln. No. 12767575.9, dated Jan. 11, 2018, 6 pages.
European Search Report in European Appln. No. 19186209.3, dated Nov. 25, 2019, 8 pages.
Extended European Search report in Appln. No. 12740011.7, dated Sep. 9, 2015, 6 pages.
Extended European Search report in Appln. No. 12767575.9, dated Nov. 7, 2014, 7 pages.
Extended European Search Report in Appln. No. 1281083.6, dated Aug. 17, 2015, 9 pages.
Extended European Search report in Appln. No. 12819482.6, dated Apr. 28, 2015, 7 pages.
Extended European Search Report in Appln. No. 12824347.4, dated Apr. 22, 2015, 6 pages.
Extended European Search Report in Appln. No. 15793285.6, dated Dec. 12, 2017, 7 pages.
Extended European Search Report in European Appln. No. 19746618.8, dated Sep. 14, 2021, 7 pages.
Extended European Search Report in European Appln. No. 21164580.9, dated Oct. 22, 2021, 8 pages.
Iannetta [online], “Nov. 2014 New Products: Wearable coil facilities positioning during prostate MRI,” Urology Times, retrieved on Nov. 10, 2014, retrieved from<URL: http://urologytimes.modernmedicine.com/urology-times/news/november-2014-new-products-wearable-coil-facilitates-positioning-during-prostate-mri?page=full>, 7 pages.
IL Office Action in Israeli Appln. No. 256280.0, dated Sep. 16, 2020, 9 pages (with English Translation).
International Preliminary Report on Patentability in International Appln. No. PCT/US2019/016395, dated Aug. 4, 2020, 7 pages.
International Preliminary Report on Patentability in International Appln. No. PCT/US2020/013155, dated Jul. 22, 2021, 8 pages.
International Search Report and Written Opinion in International Appln. No. PCT/US2019/16395, dated Apr. 30, 2019, 13 pages.
O'Driscoll et al., “A mm-Sized implantable power receiver with adaptive link compensation,” Poster, Presented at IEEE International Solid-State Circuits Conference, Session 17, 2009, 3 pages.
PCT International Preliminary Report on Patentability and Written Opinion in International Appln. No. PCT/US2012/023029, issued Jan. 28, 2014, 9 pages.
PCT International Preliminary Report on Patentability and Written Opinion in International Appln. No. PCT/US2012/032200 issued Oct. 8, 2013, 11 pages.
PCT International Preliminary Report on Patentability and Written Opinion in International Appln. No. PCT/US2012/048903, issued Mar. 25, 2014, 8 pages.
PCT International Preliminary Report on Patentability in International Appln. No. PCT/US2013/077846, issued Jun. 30, 2015, 6 pages.
PCT International Preliminary Report on Patentability issued in International Appl. No. PCT/US2012/055746, issued Jan. 2, 2013, 10 pages.
PCT International Preliminary Report on Patentability issued in International Appln. No. PCT/US2012/050633, issued Feb. 18, 2014, 7 pages.
PCT International Search Report and PCT Written Opinion of the International Searching Authority in International Appln. No. PCT/US2012/055746, dated Jan. 3, 2013, 11 pages.
PCT International Search Report and the Written Opinion in Appln. No. PCT/US2012/048903 dated Oct. 10, 2012, 9 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2012/023029, dated May 16, 2012, 10 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2012/032200, dated Jul. 27, 2012, 12 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2012/050633 dated Oct. 23, 2012, 7 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2013/077846 dated Apr. 21, 2014, 10 pages.
PCT International Search Report and Written Opinion in International Appln. No. PCT/US2020/013155, dated Apr. 1, 2020, 8 pages.
pharad.com [online], “Assembly, Wearable Antenna, 350-450 MHz,” retrieved on Oct. 14, 2010, retrieved from URL< http://www.pharad.com/pdf/UHF-Wearable-Antenna-2D.pdf>, 1 page.
Poon et al., “Optimal frequency for wireless power transmission into dispersive tissue,” IEEE Transactions on Antennas and Propagation, May 2010, 58(5):1739-1750.
Stensaas et al., “Histopathological evaluation of materials implanted in the cerebral cortex,” Acta Neuropathologica, Jan. 1978, 41(2):145-155.
Turner et al., “Cerebral astrocyte response to micromachined silicon implants,” Experimental Neurology, Mar. 1999, 156(1):33-49.
Weiland et al., “Chronic neural stimulation with thin-film, iridium oxide electrode,” IEEE Transactions on Biomedic Engineering, Jul. 2000, 47(7):911-918.
Williams et al., “Complex impedance spectroscopy for monitoring tissue responses to inserted neural implants,” Journal of Neural Engineering, Nov. 2007, 4(4):410-423.
wirelessdesignmag.com [online], “Pharad at Forefront of LTE Antenna Innovation with Development of LTE Wearable Antenna,” retrieved on Aug. 12, 2012, retrieved from<URL:http://www.wirelessdesignmag.com/product-release/2013/08/pharad-forefront-lte-antenna-innovation-development-lte-wearable-antenna>, 3 pages.
Extended European Search Report in European Appln No. 20738285.4, dated Aug. 17, 2022, 5 pages.
Related Publications (1)
Number Date Country
20220152388 A1 May 2022 US
Provisional Applications (1)
Number Date Country
62624982 Feb 2018 US
Continuations (1)
Number Date Country
Parent 16265669 Feb 2019 US
Child 17665857 US