A61N1/36139

Autonomous cardiac implant of the leadless capsule type, comprising an interface for external communication during transportation and storage
11691020 · 2023-07-04 · ·

The implant comprises a tubular body housing an energy harvesting module adapted to convert external stresses applied to the implant into electrical energy, and a rechargeable battery adapted to be charged by the energy harvesting module. During the storage, an external source physically separated from the implant is coupled to the implant rechargeable battery to maintain a minimum battery charge level. An interface circuit of the implant couples surface electrodes to the battery, with switching between: i) a transport and storage configuration where the electrodes are connected to the external source to receive from the latter a battery charging energy and/or to exchange communication signals with the outside through the wire link of the coupling; and ii) a functional configuration in which the surface electrodes are decoupled from the external source after the implant has been implanted. The implant further comprises a data transmitter circuit adapted, in the transport and storage configuration, to send communication signals, via the surface electrodes, on the link coupling to the external source, and/or a data receiver circuit adapted, in the transport and storage configuration, to receive, via the surface electrodes, communication signals transmitted on the link coupling to the external source.

Systems and methods for improving sleep disordered breathing
11691010 · 2023-07-04 · ·

A neuromodulation system is provided herein. The system can include a cuff electrode, an electronics package, which can be part of a neuromodulation device; an external controller; a sensor; and a computing device. The neuromodulation device can include an antenna including an upper and a lower coil electrically connected to each other in parallel. The computing device can execute a closed-loop algorithm based on physiological sensed data relating to sleep.

Method, system and apparatus for automated termination of a therapy for an epileptic event upon a determination of effects of a therapy
11541236 · 2023-01-03 · ·

A method comprising detecting an epileptic event in a patient; applying an electrical therapy to a first target area in at least one of a brain region or a cranial nerve of said patient in response to said detecting; receiving a body signal responsive to the electrical therapy, wherein said body signal is selected from an autonomic signal, a neurologic signal, a metabolic signal, an endocrine signal, or a tissue stress marker signal; determining whether said body signal indicates that said electrical therapy has an efficacious effect; and terminating the application of said electrical therapy if the response indicates that the electrical therapy has an efficacious effect. An apparatus capable of performing the method. A non-transitive, computer-readable storage device for storing data that when executed by a processor, perform the method.

Pain management based on brain activity monitoring

This document discusses, among other things, systems and methods for managing pain of a subject. A system includes one or more physiological sensors configured to sense a physiological signal indicative of patient brain activity. The physiological signals may include an electroencephalography signal, a magnetoencephalography signal, or a brain-evoked potential. The system may extract from the brain activity signal one or more signal metrics indicative of strength or pattern of brain electromagnetic activity associated with pain, and generate a pain score using the one or more signal metrics. The pain score can be output to a patient or a process. The system may select an electrode configuration for pain-relief electrostimulation based on the pain score, and deliver a closed-loop pain therapy according to the selected electrode configuration.

Determining a state of a solid tumor based on neural activity within the solid tumor

One aspect of the present disclosure relates a method of diagnosis and/or treatment of a solid tumor. The method includes directly measuring neural activity within a solid tumor for a time and determining a state of the solid tumor based on the neural activity. The diagnosis and/or treatment can be determined based on the state of the solid tumor. In some instances, the neural activity can be used in a closed loop to detect the neural activity, determine the state, determine the risk, apply treatment, check again for neural activity, and cease treatment when the neural activity is gone.

BIOMIMETIC STIMULATOR SYSTEM FOR NEURAL IMPLANT

A neural stimulator system which generates stimulation from an implantable stimulator circuit which generates stimulation outputs which mimic biological signals. The user/operator can select stimulation generated from recorded waveforms, or by selecting the characteristics for generating stimulation based on randomized inter-pulse-intervals (IPI). A control unit controls the operation of the implantable stimulator circuit, and receives sets of stimulation parameters based on user input from a user input device executing application specific programming.

SYRINGE-INJECTION-TYPE BRAIN SIGNAL MEASUREMENT AND STIMULATION STRUCTURE, AND SYRINGE INJECTION METHOD THEREFOR

The present invention relates to a syringe-injection-type brain signal measurement and stimulation structure, and a syringe injection method therefor, and provides a structure including a high-performance flexible element capable of minimizing a skull opening when inserted into the brain. Particularly, the present invention comprises: a flexible element, which includes a contact part making contact with a surface of a cortex so as to measure a signal generated in the brain or transmit an external stimulus to the brain, a transmitting/receiving part positioned between a skull and a skin, and a connection part for making a connection between the contact part and the transmitting/receiving part; and an integrated circuit connected to the transmitting/receiving part so as to transmit/receive a signal.

WEARABLE DEVICES FOR TREATING SLEEP APNEA, AND ASSOCIATED SYSTEMS AND METHODS

The present technology is generally directed to wearable devices for treating sleep apnea, and associated systems and methods. In some embodiments, a system for treating sleep apnea comprises an implantable device and a wearable device. The implantable device can be implantably positionable at a patient's head and/or neck, proximate to the patient's oral cavity, and include a signal generator configured to generate an electrical signal, an electrode coupled to the signal generator to direct the electrical signal to the patient's tissue, and a power receiver device coupled to the signal generator. The wearable device can include a power source and a power transmission device coupled to the power source and configured to transmit power wirelessly to the implantable device.

Stimulation response profiles

Techniques for providing therapy to a patient via electrical stimulation are described. The techniques include, for example, determining, relative to a start time of providing the electrical stimulation, one or more efficacy times that correspond to an efficacy indicator, determining, according to the efficacy times, efficacy data items for the patient, comparing the efficacy data items with the efficacy indicator, and generating, based on the comparison, a prediction of an expected response to the therapy manifesting in the patient at a prospective time.

SYSTEMS AND METHODS TO IMPROVE SLEEP DISORDERED BREATHING USING CLOSED-LOOP FEEDBACK
20220401738 · 2022-12-22 ·

Neural stimulation is provided according to a closed loop algorithm to treat sleep disordered breathing (SOB), including obstructive sleep apnea (OSA). The closed loop algorithm is executed by a system comprising a processor (which can be within the neural stimulator). The closed loop algorithm includes monitoring physiological data (e.g., EMG data) recorded by a sensor implanted adjacent to an anterior lingual muscle; identifying a trigger within the physiological data, wherein the trigger is identified as a biomarker for a condition related to sleep (e.g., inspiration); and applying a rule-based classification (which can learn) to the trigger to determine whether one or more parameters of a stimulation should be altered based on the biomarker.