A61N1/36125

NEURAL IMPLANT FOR MICROSTIMULATION

This disclosure provides systems and methods for delivering a neural stimulation pulse. A neural implant device can include an energy harvesting circuit configured to receive an input signal and generate an electrical signal based on the received input signal. A diode rectifier in series with the energy harvesting circuit can rectify the electrical signal. The energy harvesting circuit and the diode rectifier can be encapsulated within a biocompatible electrically insulating material. A neural electrode can be exposed through the biocompatible electrically insulating material. The neural electrode can be configured to deliver a neural stimulation pulse. The neural implant device can have a volume that is less than about 1.0 cubic millimeter.

NEURAL IMPLANT FOR MICROSTIMULATION

This disclosure provides systems and methods for delivering a neural stimulation pulse. A neural implant device can include an energy harvesting circuit configured to receive an input signal and generate an electrical signal based on the received input signal. A diode rectifier in series with the energy harvesting circuit can rectify the electrical signal. The energy harvesting circuit and the diode rectifier can be encapsulated within a biocompatible electrically insulating material. A neural electrode can be exposed through the biocompatible electrically insulating material. The neural electrode can be configured to deliver a neural stimulation pulse. The neural implant device can have a volume that is less than about 1.0 cubic millimeter.

IMPEDANCE MEASUREMENT CIRCUIT ARCHITECTURE
20220266044 · 2022-08-25 ·

A lead impedance stimulation architecture and a dual current source and sink methodology to output a biphasic current pulse and measure a resulting induced voltage across the stimulation electrodes to determine lead impedance. A common mode capacitance on the electrode interface may have little impact on the stimulation architecture of this disclosure allowing for fast voltage rise time and consistent and accurate impedance measurement. In addition, the dual source and sink includes a monitor circuit on each of the source and the sink circuitry. In the event of an open circuit indicating a lead breakage, loose connection, lead migration, insulation leak, and so on, the monitor circuit may provide an output to indicate specifically which electrode is unable to reach the correct current stimulation amplitude. In this manner the techniques of this disclosure, may also detect a lead break in a single lead impedance measurement.

Neural Feedback Assisted DBS
20220266022 · 2022-08-25 ·

Methods and systems for using sensed evoked neural responses for informing aspects of neurostimulation therapy are disclosed. Electrical signals may be recorded during the provision of electrical stimulation to a patient's neural tissue. The electrical signals may be processed and analyzed using one or more classification criteria to determine if the electrical signals contain a neural response of interest. Examples of such neural responses include evoked neural responses that are oscillatory and/or resonant in nature. If the electrical signals include such responses of interest, one or more features may be extracted from the signals and used as biomarkers for informing aspects of neurostimulation therapy, such as directing lead placement, optimizing stimulation parameters, closed-loop feedback control of stimulation, and the like. Various methods and systems described herein are particularly relevant in the context of multi-site stimulation paradigms, such as coordinated reset neuromodulation.

Devices and methods for sensing physiological signals during stimulation therapy

Devices and methods provide for the sensing of physiological signals during stimulation therapy by preventing stimulation waveform artifacts from being passed through to the amplification of the sensed physiological signal. Thus, the sensing amplifier is not adversely affected by the stimulation waveform and can provide for successful sensing of physiological signals. A common mode voltage is applied to the stimulation electrodes while sensing during a recharge period where the common mode voltage approximates the stimulation pulse being received at the sensing electrodes. This common mode voltage is determined based on measuring a common mode signal for at least one of the inputs of the amplifier or by deriving the proper common mode from monitoring the output signal of the amplifier to observe the elimination of artifacts during stimulation. Blanking switches may be used to blank the sensing of the peak of the recharge period should that peak be relatively large.

Rechargeable-battery implantable medical device having a primary battery active during a rechargeable-battery undervoltage condition

A rechargeable-battery Implantable Medical Device (IMD) is disclosed including a primary battery which can be used as a back up to power critical loads in the IMD when the rechargeable battery is undervoltage and other non-critical loads are thus decoupled from the rechargeable battery. A rechargeable battery undervoltage detector provides at least one rechargeable battery undervoltage control signal to a power supply selector, which is used to set the power supply for the critical loads either to the rechargeable battery voltage when the rechargeable battery is not undervoltage, or to the primary battery voltage when the rechargeable battery is undervoltage. Circuitry for detecting the rechargeable battery undervoltage condition may be included as part of the critical loads, and so the undervoltage control signal(s) is reliably generated in a manner to additionally decouple the rechargeable battery from the load to prevent further rechargeable battery depletion.

Endovascular Nerve Monitoring Devices and Associated Systems and Methods

Endovascular nerve monitoring devices and associated systems and methods are disclosed herein. A nerve monitoring system configured in accordance with a particular embodiment of the present technology can include a shaft having a proximal portion and a distal portion and a nerve monitoring assembly at the distal portion. The shaft is configured to locate the distal portion intravascularly at a treatment site. The nerve monitoring assembly can include a bipolar stimulation electrode array and a bipolar recording electrode array disposed distal to the bipolar stimulation electrode assembly.

SPATIALLY SELECTIVE INTERVENTIONAL NEUROPARTICLE WITH MAGNETOELECTRIC MATERIAL
20170265927 · 2017-09-21 · ·

An apparatus and method stimulate or sense neurons or groups of neurons in a subject, e.g., a human or animal brain, with positional dependence. This utility is provided in part by utilizing individually-addressable Radio-Frequency IDentification (RFID) coils so that locations of those coils in the brain would be monitored and known.

Systems and methods for delivering neuroregenerative therapy

Systems, devices and methods are disclosed for the treatment of injured peripheral nerves or other tissue using electrical stimulation. The systems can be used either in intraoperative or peri-operative settings and incorporate the use of either a plurality of monopolar electrodes with a patch used as return or a plurality of bipolar electrodes such as a cuff. The systems can provide hands-free delivery of electrical stimulation therapy over a predetermined set of time.

Energy transfer control adapted to a medical device system
09808634 · 2017-11-07 ·

The disclosed invention varies the width of the energy pulses with constant frequency and constant amplitude to regulate the amount of energy transferred from an energy transmitting device placed outside a patient to an energy receiver inside the patient. The pulse width is achieved with a modulation technique, PWMT, to control the amount of energy transferred from the external energy transmitting coil in the system to the implanted receiver. The PWMT is used to digitally vary the amount of power from the power amplifier that drives the transmitting coil. Compared to previous analog systems a PWM system is a great deal more efficient and can easily be controlled from a digital domain system such as a microprocessor.