386 results about "Neurostimulation" patented technology

Systems, devices, and methods for electrically stimulating peripheral nerve(s) to treat various disorders are disclosed, as well as signal processing systems and methods for enhancing diagnostic and therapeutic protocols relating to the same. Personalized therapy based on algorithms and aggregated data are also provided.

Embodiments described herein relate to systems, devices, and methods for monitoring brain activity and delivering electrical brain stimulation to a patient. In some embodiments, a system can deliver responsive electrical stimulation in a closed-loop manner and can offer real-time or near real-time monitoring of induced neurophysiological effects. After detecting a targeted brain pattern (i.e., an epileptic seizure), the system may deliver high-intensity ultra-short electrical stimulation impulses non-invasively or minimal-invasively to diminish or stop the neural oscillations underlying the epileptic seizure. The stimuli are delivered in time and space, relative to the emerging seizure rhythm patterns, such that they diminish or terminate the seizure. The system may include an implantable device including one or more electrodes electrically coupled to one or more processors. The processor(s) may be operatively coupled to a memory, one or more communication modules, and may optionally be coupled to a battery and one or more additional sensor(s).

The invention relates to the technical field of neural engineering and brain-computer interfaces, in particular to a closed-loop multi-modal nerve stimulation system and method based on time interference, and the system comprises a multi-modal stimulation module which is used for integrating electrical stimulation, magnetic stimulation and optical genetic stimulation, and generating a time interference field domain; the neural state sensing module is used for collecting real-time electroencephalogram signals, blood oxygen concentration and neural metabolite level data; the neural control center is used for fusing neural state data and stimulation parameters, and dynamically adjusting time interference frequency and stimulation intensity through an adaptive algorithm; the time sequence cooperation engine predicts a neural response time phase based on a deep learning model, and optimizes a stimulation time sequence and a mode switching strategy; and the visual interaction platform is used for rendering the nerve activation thermodynamic diagram and the stimulation parameter adjustment curve in real time. Therefore, the problems of adjustment strategy solidification, low adjustment precision, insufficient energy conversion efficiency and the like in the prior art are solved.

The invention discloses a brain deep nerve stimulation method and system based on adaptive adjustment, and relates to the technical field of brain deep nerve regulation, and the method comprises the steps: collecting a local field potential signal of a brain deep target region of a target patient, and extracting a beta frequency band power spectrum density and a gamma frequency band phase synchronization index as neural activity characteristic parameters; determining an individual baseline value and a preset threshold value based on historical data, and outputting a stimulation adjustment trigger signal when the beta frequency band power spectral density exceeds the individual baseline value and the gamma frequency band phase synchronization index is lower than the preset threshold value; in response to the trigger signal, calculating an optimal stimulation parameter combination through a gradient descent optimization algorithm and executing nerve regulation; and monitoring the signal change after regulation and control, calculating a relative change rate and updating a threshold value. Through a two-parameter joint judgment mechanism and a threshold updating strategy, individualized adaptive adjustment of stimulation parameters is realized, and the stimulation accuracy and the treatment effect are improved.

An example of a system for delivering neurostimulation may include a programming control circuit and a user interface. The programming control circuit may be configured to generate stimulation parameters controlling delivery of the neurostimulation according to a pulse sequence. The pulse sequence may include a series of neurostimulation pulses and be defined by sequence parameters and one or more modulation functions each modulating an adjustable parameter selected from the sequence parameters. The user interface may be configured to set the pulse sequence to a tonic pulse sequence by determining an initial value for each adjustable parameter and set the pulse sequence to a modulated pulse sequence by selecting one or more adjustable parameters, determining a modulation function for each selected adjustable parameter, and applying the determined modulation function to that selected adjustable parameter to modulate the tonic pulse sequence.

Described herein are systems, devices, and methods for delivering enhanced stimulation to provide therapy for a patient. A neurostimulation system may include an implantable stimulation device, a base station, and an external device. The external device may include a first antenna for communicating with the implantable device, and a second antenna for receiving power from the base station. Additionally, the external device may have one or more shielding layers between the first and second antennae. A method for reprogramming a neurostimulation system may include receiving data at a base station via a remote connection, transferring the data from the base station to an external device via a location connection, and instructing an implantable stimulation device to stimulation tissue of a patient using the data.

Systems, devices, and methods for neurostimulation using a combination of implantable and external devices to treat pain are disclosed.

A system for automated programming of stimulation devices uses machine learning with multimodal medical imaging data to determine optimal patient-specific parameters. The system stores voxel-level intensity and functional imaging data from patients who previously underwent stimulation therapy. Similarity metrics calculated directly between the raw imaging data are used to cluster patients into phenotypic groups. Known therapeutic outcomes for each patient are linked to the associated stimulation parameters. For a new patient, biomarkers are extracted from their medical imaging data and used to identify phenotypically similar groups. The stimulation parameters with beneficial outcomes in those groups are analyzed to determine target recommended settings or discard suboptimal settings for the new patient. This data-driven approach leverages machine learning on multimodal medical imaging to automate patient-specific programming of stimulation therapy devices for optimal therapeutic benefit without requiring spatial normalization or atlas registration.

The disclosure provides devices, systems, and methods for physical therapy. Electrical signals are applied to a subject via electrodes in a device worn on the body part receiving the therapy. The device can be operated remotely. The device can use artificial intelligence to evaluate and design physical therapy routines using the electrodes.

The invention discloses a hidden multi-mode brain state real-time monitoring and closed-loop intervention system, and relates to the technical field of intelligent wearable equipment. The system comprises a cap body, and further comprises a multi-point electrode array used for collecting EEG (electroencephalogram) signals, EOG (eye movement) signals and EMG (electromyography) signals of a human body; the brain blood oxygen monitoring module is used for monitoring brain blood oxygen saturation; the signal receiving and processing module is used for preprocessing and analyzing data acquired by the multi-point electrode array and the brain blood oxygen monitoring module; the multi-mode stimulation module is used for implementing sensory and nerve stimulation on the user according to a judgment result of the state judgment module so as to intervene in a drowsiness or attention decline state; and the power supply module and the communication unit are used for providing a working power supply for the modules needing power supply in the system and carrying out data communication with external terminal equipment. The system can monitor the waking degree of the user with high precision and carry out closed-loop feedback intervention by various stimulation means.

The invention belongs to the field of big data, and provides a wearable nerve regulation and control method and system based on cloud AI control, and the method comprises the steps: collecting user data through a wearable nerve regulation and control device worn on the limb part of a user, the user data being physiological data and / or motion data; uploading the user data to a cloud server, wherein the cloud server is provided with an artificial intelligence model; the artificial intelligence model receives the user data, and generates personalized nerve electrical stimulation parameters in combination with pre-stored user historical treatment data and / or medical history data; the cloud server issues the personalized nerve electrical stimulation parameters to the wearable nerve regulation and control device, and the wearable nerve regulation and control device executes transcutaneous nerve electrical stimulation operation based on the personalized nerve electrical stimulation parameters.

A system for personalized neuromodulation includes a neuroimaging recording device including sensors for detecting neural activity in a patient. An optimization module determines a personalized neuromodulation treatment protocol for the patient. The optimization module includes a neuromodulation target optimization module for determining neural targets in the patient for the personalized neuromodulation treatment protocol. The optimization module includes a neuromodulation parameters optimization module for determining optimized neural stimulation parameters for the personalized neuromodulation treatment protocol. A personalized neural stimulation device receives the neural targets from the neuromodulation target optimization module and receives the optimized neural stimulation parameters from the neuromodulation parameters optimization module. The personalized neural stimulation device delivers the personalized neuromodulation treatment protocol to the patient. The personalized neural stimulation device includes at least one neural stimulation device for stimulating the targets in the patient. A neuroimaging navigation system determines a placement of the neural stimulation device(s) about the patient.

Systems, devices, and methods for electrically stimulating peripheral nerve(s) to treat various disorders are disclosed, as well as signal processing systems and methods for enhancing diagnostic and therapeutic protocols relating to the same.

A combined neuromodulation and / or neurostimulation system for mitigating locomotor deficits of / or neuronal disorders, especially Parkinson's disease, said system comprises: at least one Deep Brain Stimulation System for providing Deep Brain Stimulation to brain tissue of a subject, at least one control unit, configured and adapted to provide stimulation data, at least one stimulation unit, operatively connected to the at least one control unit, the at least one stimulation unit being configured and adapted to deliver epidural electrical stimulation to the dorsal side of the spinal cord of said subject, and at least one implantable pulse generator, wherein the at least one stimulation unit includes one or more electrodes configured to be implanted epidurally, the one or more electrodes being operatively connected to the at least one IPG.

The present application discloses and describes neurostimulation systems and methods that include, among other features, (i) neural stimulation through audio with dynamic modulation characteristics, (ii) audio content serving and creation based on modulation characteristics, (iii) extending audio tracks while avoiding audio discontinuities, and (iv) non-auditory neurostimulation and methods, including non-auditory neurostimulation for anesthesia recovery.

A neurostimulation system can include a skin electrode pad configured to be attached to an external electrostimulation electronics unit for treating a subject using transcutaneous neurostimulation therapy, and the electrode pad can include a rehydratable hydrophilic foam layer. The rehydratable hydrophilic foam layer can be sized and shaped to be received within a receptacle of an electrode rehydrator to recurrently receive moisture from the electrode rehydrator to be rehydrated.

An implantable device for controllably delivering neural stimuli, comprising a stimulus source configured to provide neural stimuli to be delivered via one or more stimulus electrodes to a neural pathway of a patient; measurement circuitry configured to capture signal windows from signals sensed on the neural pathway by one or more measurement electrodes subsequent to respective neural stimuli; and a control unit. The control unit is configured to: control the stimulus source to provide a direct current (DC) pulse according to a stimulus intensity parameter; control the stimulus source to provide a titration pulse in order to evoke a neural response from the neural pathway; measure an intensity of an evoked neural response in a captured signal window subsequent to the titration pulse; and adjust, using a feedback controller, the stimulus intensity parameter so as to maintain the measured intensity at or near a target value.

The utility model provides an expansion device with a nerve monitoring function. The expansion device comprises a base and a function switching circuit, the base is provided with a high-frequency connecting end used for being connected with high-frequency generator equipment, a nerve monitoring connecting end used for being connected with a nerve monitor and an equipment connecting end used for being connected with surgical equipment, and the high-frequency connecting end is matched with the interface type of the equipment connecting end; the function switching circuit comprises a first input end, a second input end and an output end; under the condition that the first input end is electrically connected with the output end, the function switching circuit outputs a high-frequency excitation signal output by the high-frequency generator equipment to the surgical equipment through the output end, so that the surgical equipment realizes an electrocoagulation and electroresection function; under the condition that the second input end is electrically connected with the output end, the function switching circuit transmits the nerve stimulation signal output by the nerve monitor to the surgical equipment so that the surgical equipment can achieve the nerve monitoring function, and therefore the nerve monitoring function can be expanded for the surgical equipment connected with the expansion device in an inserted mode.

A system and method for locating and guiding a peripheral nerve evaluation (PNE) lead. The system comprising an X-ray system to capture images of the patient. The images are processed by the system and are provided to a user to utilize an augmented reality (AR) system for inserting a needle for placing leads for the PNE procedure.

A closed-loop neuromodulation system includes at least one implantable neurostimulator configured to deliver electrical stimulation to a target nerve innervating a muscle; at least one biosignal sensor configured to detect a physiological signal associated with the target muscle, wherein the physiological signal may include an electromyographic (EMG) or electroneurographic (ENG) signal; and a controller operatively coupled to the neurostimulator and the sensor. The controller is configured to receive the physiological signal from the sensor, determine whether the signal satisfies a predefined condition indicative of weakness, strength, fatigue, muscle underactivity, or overstimulation, and, in response to detecting that the condition is satisfied, automatically adjust one or more stimulation parameters selected from amplitude, frequency, pulse width, train duration, or train count.

A system for application of neurostimulation includes an outer sheath, an elongate inner member in the outer sheath and movable relative to the outer sheath. The inner lumen has a distal end. An expandable member is coupled to the distal end of the inner member and is in the outer sheath. The expandable member is self-expanding upon from a compressed state in the outer sheath to an expanded state out of the outer sheath. The expandable member includes a distal portion including a plurality of wires woven together and a proximal portion including the plurality of wires extending parallel to a longitudinal axis. The system includes a plurality of electrode assemblies outward of the expandable member and circumferentially spaced around the expandable member. Each electrode assembly is coupled to two of the wires extending parallel to the longitudinal axis. Each electrode assembly includes a plurality of longitudinally-spaced electrodes.

A method of transplanting a desired emotional state from a donor to a recipient, comprising determining an emotional state of the donor, recording neural correlates of the emotional state of the donor who is in the desired emotional state; analyzing neural correlates of the emotional state of the donor to decode at least one of a temporal and a spatial pattern corresponding to the desirable emotional state; converting said at least one of a temporal and a spatial pattern corresponding to the desirable emotional state into a neurostimulation pattern; storing the neurostimulation pattern in the nonvolatile memory; retrieving the neurostimulation pattern from the nonvolatile memory; stimulating the recipients brain with at least one stimulus modulated with the neurostimulation pattern to induce the desired emotional state in the recipient.

In an illustrative embodiment, an apparatus for controlling or reducing stress levels includes an ear-mounted device having an earpiece for positioning over a wearer's ear contacting tissue regions surrounding the ear, and electrodes for delivering non-piercing neurostimulation, with first electrode(s) arranged on a first surface of the earpiece to contact a first tissue region, and second electrode(s) are arranged on a second surface to contact a second tissue region. The auricular branch of the vagus nerve or the auriculotemporal nerve is situated beneath the first tissue region. The apparatus includes a controller to deliver therapeutic stimulation pulses via the stimulation device, where the pulses in combination with the positioning of the first electrode(s) and the second electrode(s) are configured to modulate the activity ratio between the sympathetic nervous system and the parasympathetic nervous system, thereby increasing vagal tone.

The invention relates to the technical field of nerve regulation and control, and discloses a nerve stimulation signal output control method and device, equipment and a storage medium, which are used for improving the accuracy of anomaly detection and the flexibility of nerve stimulation signal output control. The nerve stimulation signal output control method comprises the following steps: inputting an original cortex electroencephalogram signal and an original deep electroencephalogram signal into an anomaly analysis model for analysis, and outputting a target anomaly type and a corresponding anomaly degree; selecting a plurality of pulse groups which are arranged in sequence from a preset dynamic stimulation group library according to the target anomaly type and the corresponding anomaly degree, sequentially controlling the cortex electrode or the deep electrode to output the pulse groups, performing recovery detection among the pulse groups, and if the anomaly of the current detection period is continuous, determining that the current detection period is abnormal. And if the abnormality is detected, executing the next pulse group until all the pulse groups are output, if the abnormality is not detected, not executing the remaining pulse groups, and when the abnormality is detected in the next detection period, re-outputting a plurality of pulse groups in sequence.

The invention discloses a programmable electrical nerve stimulation system based on ultrasonic energy supply. The programmable electrical nerve stimulation system comprises an ultrasonic transmitter, a piezoelectric receiver, a rectifier, a power management module, a data demodulation circuit, a control module, an H-bridge driving circuit, a current digital-to-analog converter and an H-bridge circuit, the external ultrasonic transmitter can transmit ultrasonic waves to supply power to the system and transmit data, and the piezoelectric receiver receives ultrasonic signals and converts the ultrasonic signals into alternating current signals. The rectifier and the power management module can convert alternating current signals into direct current signals to provide power for other circuits of the system, the data demodulation circuit processes the alternating current signals to recover data information in ultrasonic waves, the control module controls the H-bridge driving circuit and the current digital-to-analog converter according to the data information, and finally electrical stimulation is achieved through the H-bridge. The system provided by the invention has the characteristics of wireless energy supply, high safety and programmable stimulation parameters, and can realize accurate control of output current parameters.

Targeted and individualized methods are provided herein for determining specific treatment sites based on an individual patient. Embodiments described herein may use functional and / or structural connections to create brain mapping of the patient and / or control groups having the same metrics as the patient, and combinations thereof in determining target locations for stimulation treatment.

A system may include a neurostimulator and a processing system configured to provide a stimulation effects map by testing stimulation parameter sets from a plurality of available stimulation parameter sets, acquiring clinical effect data indicative of a patient response to electrical energy delivered to the tissue using at least a first subset of the tested stimulation parameter sets, acquiring sensed data indicative of a sensed response to the electrical energy delivered to the tissue using at least a second subset of the tested stimulation parameter sets, and evaluating parameter sets from the plurality of untested stimulation parameter sets including for each of the evaluated parameter sets, determining an estimated response by estimating at least one of the patient response or the sensed response to the electrical energy using the acquired clinical effect data and the acquired sensed data. A stimulation parameter set may be chosen based on the map.

The present disclosure relates to a neurostimulation system, in particular for Cortical and / or Deep Brain Stimulation, comprising:at least one implant unit comprising:at least one first antenna, andat least one lead having at least one electrode array with at least one electrode; andat least one wearable device comprising at least one second antenna,wherein the at least one wearable device is configured to wirelessly control and wirelessly communicate with the at least one implant unit, and wherein the at least one electrode is made of reduced graphene oxide, such as hydrothermally reduced graphene oxide.

The invention discloses an auxiliary artificial olfaction compensation method and device based on a brain-computer interface. The method comprises the steps that a scalp electroencephalogram cap is combined with a nasal cavity near infrared spectrum sensor to synchronously collect non-invasive signals; performing time-frequency analysis on the non-intrusive signal, and converting an alpha wave, a gamma wave and an individualized characteristic frequency band into a Poincare map and nonlinear kinetic parameters; according to the individualized olfactory brain network connection atlas, transcranial magnetic stimulation and transcranial direct current stimulation, setting a targeted stimulation position and intensity for a specific brain region related to olfactory perception; presenting a preset odor stimulus to the subject, evaluating the attention, emotion and olfactory perception state of the subject, and adaptively adjusting the intensity, frequency and odor concentration of the nerve stimulus and artificial olfactory stimulus to optimize the compensation effect. The olfactory functions of different regions of the brain of the olfactory disorder patient are collected through the brain-computer interface, and the regions corresponding to the brain are simulated and stimulated through gases with different smells to assist in stimulation and recovery of olfaction.

The present disclosure provides systems and methods for providing neurostimulation therapy according to gait features. The gait features may be analyzed to develop a patient model between gait features and optimal settings for a neurostimulation therapy using machine learning operations. The model is used to control ongoing neurostimulation therapy for the patient.