67 results about "Neural modulation" patented technology

Pulsed electromagnetic field systems include planar microcoil arrays integrated into clothing. The planar microcoil arrays are connected to a neuromodulation controller and configured to generate an electrical current and transmit that electrical current, in accordance with a particular stimulation protocol, to each of the planar microcoil arrays.

The embodiment of the invention relates to the field of intelligent wearable equipment, in particular to intelligent ear vagus nerve regulation and control glasses and a control method, control device and regulation and control system thereof, and the method comprises the following steps: acquiring pupil dynamic characteristic parameters monitored by the intelligent ear vagus nerve regulation and control glasses; calling a trained machine learning model to analyze real-time physiological state information according to the pupil dynamic characteristic parameters; according to the real-time physiological state information obtained through analysis, generating an electrical stimulation control instruction corresponding to the real-time physiological state information; and controlling an ear vagus electrode in the intelligent ear vagus nerve regulation and control glasses to implement nerve regulation based on the electrical stimulation control instruction. According to the method, the limitation of fixed parameter output of a traditional ear vagus nerve stimulation device can be broken through, the individualization and accuracy of an ear vagus nerve stimulation scheme are improved, and the problem that the treatment effect is insufficient or discomfort is caused is solved.

A device may include a first electrode configured to be worn on the skin of a living body at a first location. A device may include a second electrode configured to be worn on the skin of the living body at a second location. A device may include a controller configured to transmit, to the living body via the first electrode and the second electrode, a pulse waveform that includes a plurality of pulses in sequence, wherein: frequencies of the plurality of pulses are modulated based on a Brownian noise distribution, and amplitudes of the plurality of pulses are modulated in accordance with a sinusoidal pattern.

The invention provides an event type parallel online learning neuromorphic calculation method and system. The method comprises a framework construction step, a sample learning step, a sparse calculation step and a parallel calculation step. The system comprises a computing core, a Mesh-Tree mixed on-chip routing communication network, a configuration and monitoring module, a global control module and an Argmax decision module. The sparse calculation step (event-driven type) and the parallel calculation step solve the problem of low efficiency when large-scale neuromorphic hardware realizes online learning, and the neural modulation-based online learning framework and the sample learning step have the advantages that the efficiency is high, and the efficiency is high. The compatibility problem and the large-amount memory consumption problem of the current customized online learning processor are relieved; according to the computing system, the computing method is efficiently realized, and meanwhile, the compatibility, the expandability and the learning performance of the neuromorphic processor supporting online learning are improved based on a computing engine architecture capable of configuring a data path and flexible NoC communication.

A device may include a first electrode configured to be worn on the skin of a living body at a first location. A device may include a second electrode configured to be worn on the skin of the living body at a second location. A device may include a controller programmed to transmit a pulse waveform to the living body via the first electrode and the second electrode, wherein: an amplitude of the pulse waveform is modulated according to a first oscillating pattern having a first period, and a phase of the pulse waveform is modulated according to a second oscillating pattern having a second period different than the first period.

The invention discloses an optical and neural feedback multi-modal data analysis method for a nerve regulation target, and belongs to the technical field of cranial nerve treatment, and the method specifically comprises the steps: receiving a head movement instruction of a patient through an interactive interface, pausing transcranial magnetic stimulation after receiving the instruction, and switching to a head movement monitoring state; an infrared optical navigation device is combined with a magnetic resonance image to construct an individualized brain three-dimensional model, head position changes are tracked in real time, and autonomic nerve feedback signals are collected at the same time; synchronously aligning the head coordinates with the neural feedback signals to generate a multi-modal data set, and analyzing relevance to obtain real-time regulation and control parameters; the positioning and stimulation intensity of the transcranial magnetic stimulation coil are adaptively adjusted according to the parameters, and related information is displayed on a treatment interface; after the head of the patient finishes moving and is stable, a rapid re-calibration process is automatically triggered, high-precision monitoring is recovered, and magnetic stimulation output is reactivated; according to the invention, the treatment stability and adaptability are improved.

The invention discloses a brain-controlled speech enhancement method and system based on electroencephalogram signal neural decoding. The method comprises the following steps: synchronously acquiring multi-channel speech signals and EEG signals; compact features related to auditory attention are extracted from the EEG signals through the EEG coding network and serve as auditory cognitive state representation, and an auditory consensus field continuously evolved on the slow time scale is constructed; performing time-frequency modeling on the multi-channel voice signals based on deep learning, and constructing a deep voice time-frequency analysis network; and performing voice time-frequency spectrum gain modulation and neural beam forming weight gain modulation on the signal by using an auditory consensus field, converting the signal back to a time domain, and outputting a finally enhanced target voice signal. According to the invention, by constructing an auditory consensus field driven by the EEG, neural modulation of a frequency spectrum characteristic flow of a deep speech time-frequency analysis network and a space beam forming weight of a neural network beam forming module is realized, so that speech enhancement in a complex acoustic environment and robustness and stability of a system are improved.

The invention discloses an emotion intervention system and device based on a reminiscence therapy, and belongs to the technical field of mental health intervention and intelligent medical equipment. The device comprises a stimulation presentation subsystem, a physiological signal collection subsystem, a behavior response recognition subsystem, a neural response modeling subsystem, an intervention effect evaluation subsystem and a central control and feedback regulation subsystem, a closed-loop intervention framework is formed through real-time communication bus interconnection, and by presenting an individualized life event image set, multi-modal physiological signals and behavior responses are synchronously collected, so that the intervention effect is evaluated. A neural response model is constructed based on a brain region abnormal activation mode disclosed by functional magnetic resonance imaging, the activation level of a target brain region is predicted, the intervention effect is evaluated by integrating multiple indexes, and a central control system dynamically adjusts a stimulation sequence according to an evaluation result and a neural response predicted value by applying a hierarchical reinforcement learning algorithm. Personalized and precise emotion intervention aiming at the subclinical depression state is realized, and the intervention effect and the nerve regulation pertinence are effectively improved.

This invention discloses a material with high photothermal conversion efficiency, its preparation method, and its application in neural modulation, belonging to the field of biomedical technology. In this method, liquid metal is ultrasonically spun into nanoscale particles. Using these liquid metal nanoparticles as templates, hollow nanoshells composed of ultra-small metal nanoparticles can be prepared through an electrocoupling reaction with a metal salt. This method is simple, easy to operate, and applicable to various metals. The prepared material with high photothermal conversion efficiency has a hollow structure, a rough surface, and pores. This unique structure endows it with a strong photon trapping ability, significantly enhancing light absorption and exhibiting ultra-high photothermal conversion efficiency. This invention allows for the injection of this material into the nerve, utilizing its excellent photothermal effect for rapid and precise neural modulation, thereby achieving effective prevention and treatment of autonomic nervous system-related diseases, and showing promising application prospects.

Gel pad for a neuromodulation device

An implantable neuro-modulator device, including a hermetically sealed housing, wherein an antenna for communicating with external devices and / or for wirelessly receiving electrical energy is positioned within the housing, wherein a major part of the housing is electromagnetically transparent to radiation in the frequency range below 20 MHz, in particular between 5 and 15 MHz.

The application discloses a long context processing robust enhancement method and system based on neuron dynamic adjustment, and belongs to the technical field of text sequence processing, and comprises the following steps: embedding a nerve regulation unit in each Transform layer of a large language model used for a long context processing task; and the nerve regulation unit sequentially performs the following steps: dynamically activating abnormal perception, that is, adaptively calculating an abnormal detection threshold of a current layer according to activation value statistical characteristics of the current layer; activating a hard-gate truncation, that is, generating a binary hard mask according to the abnormal detection threshold, and the binary hard mask realizes deterministic isolation of abnormal components in the activation value while keeping normal components unchanged; and performing hierarchical response compression, that is, performing learnable dimension-level linear compression on the isolated abnormal components, re-integrating the compressed abnormal components and the normal components through gate fusion, and outputting an activation tensor after suppressing the abnormality. The application can prevent rank collapse and gradient oscillation, and enhance the robustness of long context task execution.

An implantable neuro-modulator device, including a hermetically sealed housing, wherein an antenna for communicating with external devices and / or for wirelessly receiving electrical energy is positioned within the housing, wherein a major part of the housing is electromagnetically transparent to radiation in the frequency range below 20 MHz, in particular between 5 and 15 MHz.

This invention describes techniques for a medical device that delivers electrical stimulation using a current or voltage regulator with an adjustable principal amplitude. An exemplary method includes: receiving user input indicating a desired current amplitude via a programmer for an electrical stimulator; and selecting a first fractional adjustment or a second fractional adjustment as a target adjustment for achieving the desired current amplitude. A neural modulation system includes: a first electrode; a second electrode; a stimulation generator configured to deliver a first stimulation pulse to the first electrode and a second stimulation pulse to the second electrode, wherein a first current amplitude of the first stimulation pulse is a first fraction of the principal amplitude and a second current amplitude of the second stimulation pulse is a second fraction of the principal amplitude; and a processor configured to: generate initial instructions for the stimulation generator to perform: (i) deliver the first analog pulse based on the first fraction of the principal amplitude, and (ii) deliver the second stimulation pulse based on the second fraction of the principal amplitude, receiving user input including the desired current amplitude. The processor determines, based on the desired current amplitude, the adjustment of the first current amplitude of the first stimulation pulse to be required, and determines a target adjustment based at least in part on a comparison of the desired current amplitude with the main amplitude, wherein the processor is further configured to: (A) determine an adjustment to at least the first fraction as the target adjustment, or (B) determine the following as the target adjustment: (i) an adjustment to the main amplitude, and (ii) an adjustment to at least the second fraction relative to the main amplitude adjustment, and, based at least in part on the target adjustment, generate adjustment instructions for the stimulation generator to deliver the first stimulation pulse with the desired current amplitude and the second stimulation pulse with approximately the same second current amplitude.

Systems and methods for programming a neuromodulation system are provided. One or more electrodes may be determined to enable at least one of a target stimulation therapy or a target alternative stimulation therapy. The device may be programmed with one or more parameters based on the target stimulation therapy or the target alternative stimulation therapy. A signal corresponding to the stimulation when a user performs an aggressor movement may be received and one or more parameters may be adjusted when the signal corresponding to the stimulation when the user performs the aggressor movement does not include an electrically evoked compound action potential (ECAP). Alternatively or additionally, one or more thresholds may be set when the signal corresponding to the stimulation when the user performs the aggressor movement includes the ECAP.

The neuromodulation device includes a movable arm coupled with the body. The movable arm is configured to transition between an open configuration and a closed configuration. The movable arm is biased toward the closed configuration. The nerve stimulation chamber is at least partially defined by the movable arm. The nerve stimulation chamber is configured to hold a nerve therein. The device has an open channel through which the nerve travels. The channel is at least partially defined by the movable arm. The size and shape of the chambers and channels are adjustable by movement of the arms in response to contact with the nerves. The channel may be continuously axial along a longitudinal axis of the channel when the movable arm is in the closed configuration. The chamber has an electrode.

The application relates to a balance ability evaluation method and device based on sensory conflict and brain network analysis, which uses virtual reality glasses and a rotating platform to regulate the visual direction and the body movement direction of a person to be evaluated, and constructs two test conditions of visual body movement consistency and visual body movement conflict; multi-channel electroencephalogram data, plantar pressure center data and self-motion perception data of the person to be evaluated under the test conditions are obtained; source analysis is performed on the electroencephalogram information activity, and a multivariate autoregressive model is established; information flow between each brain area related to balance regulation is quantified; and the balance control ability of the person to be evaluated is comprehensively evaluated according to the neural regulation ability, body stability and perception judgment ability of the person to be evaluated. The application is beneficial to fully mobilizing the balance system through multi-sensory conflict, starting from the neural mechanism of balance regulation, and comprehensively evaluating the balance ability of the person to be evaluated from multiple angles and in a comprehensive manner according to the neural regulation ability, body stability and perception judgment ability.

Controlled heating can be used to achieve selective nerve block of certain neural fibers. As an example, the selective heat-induced neural modulation can be used for pain management. A controller can determine an amount of energy to be delivered to a heat delivery component of a neural prosthetic device for conversion to a heat signal and application to a nerve to block neural conduction in at least a portion of the nerve. The amount of energy to be delivered is determined based on a thermal dose profile. The controller can receive a signal comprising a temperature of the nerve when the heat signal is applied to the nerve; and alter the amount of energy received by the heat delivery component based on the temperature of the nerve so the amount of energy follows the thermal dose profile, and the temperature of the nerve remains within an allowable range.

The invention belongs to the technical field of signal automatic modulation classification, and discloses a binary sampling operator-based adaptive neural modulation recognition model construction method and application, and the method comprises the steps: employing a training set to preliminarily train a neural modulation recognition model for automatic modulation classification; initializing a binary sampling operator in each signal-to-noise ratio environment, sampling each piece of data in the verification set by adopting the corresponding binary sampling operator, inputting the sampled data into the neural modulation recognition model after preliminary training, and taking the minimum difference between an obtained model prediction result and a label as an optimization target; obtaining a binary sampling operator in each signal-to-noise ratio environment; and sampling each data in the training set through a binary sampling operator in a corresponding signal-to-noise ratio environment, and retraining the preliminarily trained neural modulation recognition model by using the sampled data to update model parameters so as to obtain a corresponding neural modulation recognition model. According to the invention, the automatic modulation classification capability of the NMR model in a complex noise environment can be improved.

The invention relates to the technical field of intelligent health equipment, in particular to multi-mode asthenopia quantification and light-nerve regulation sleep optimization equipment which comprises an asthenopia quantification module, a light regulation module, a nerve regulation module and a central control module. The visual fatigue state is accurately quantified from multiple dimensions such as blink frequency, tear secretion, eye myoelectricity and a visual regulation function through multiple monitoring units, compared with single-index evaluation, the accuracy and comprehensiveness are greatly improved, light regulation and control and nerve regulation and control technologies are combined, and the visual fatigue state is accurately quantified. Through the synergistic effect of external visual environment optimization and internal nerve regulation, the vicious circle of asthenopia and insomnia is broken through, the intervention effect is more remarkable, personalized and intelligent regulation of light regulation and nerve regulation is achieved based on an asthenopia quantification result, the requirements of different users are met, and the user experience and the intervention effect are improved.

A system may include electrodes on at least one lead configured to be operationally positioned for use in modulating a volume of neural tissue, a neural modulation generator configured to deliver energy using at least some electrodes to modulate the volume of neural tissue, a programming system configured to program the programmed modulation parameter set, including determine electrode fractionalizations for the electrodes based on a target multipole. The programmed parameter set may include the determined electrode fractionalizations. The target multipole may be used to determine electrode fractionalizations having at least three target poles that directionally and progressively stack fractionalizations of target poles to provide a linear electric field over the volume of tissue. The neural modulation generator may be configured to use the programmed modulation parameter set to provide the linear electric field over the volume of tissue.

Gel pad for a neuromodulation device

Gel pad for a neuromodulation device

This invention relates to the field of artificial intelligence-assisted decision-making technology, providing a method and system for multimodal neural modulation individualized parameter-assisted decision-making. The method includes acquiring multimodal data of the subject, calculating tolerance, load, and activation demand indices, and determining the subject's initial set of stimulation parameters; generating a subset of candidate targets based on a target brain network driven by EEG signals and a preset scoring function; acquiring the EEG response signals of each candidate target after applying the initial stimulation parameters, calculating the scoring index of the EEG response signals to obtain the response score of each candidate target, and determining the final target; based on the initial stimulation parameters, determining whether the subject's current brain state is within a preset plasticity window, and then combining this with safety constraints to determine the stimulation duration for the final target, generating individualized stimulation parameters, and providing doctors with personalized and accurate auxiliary decision-making suggestions.

A method of downregulating and / or upregulating neural activity by applying a high frequency alternating current electrical signal to a nerve in a subject is disclosed. The signal comprises more than one microsecond cycle comprising one or more periods, each period comprising a charge recharge phase, and optionally, a pulse delay, each period having a frequency of at least 1000 Hz; and a microsecond inactive phase. In embodiments, an electrical signal treatment comprises more than one microsecond cycle to form a millisecond cycle, each millisecond cycle separated by a millisecond inactive phase during an on time. In embodiments, the electrical signal patterns can differ in amplitude.

Systems and methods for selectively sensing evoked responses (ERs) and using the ERs to guide neuromodulation are disclosed. An exemplary system includes at least one multi-electrode lead, an electrical stimulator to provide electrical stimulation to a neural target, a sensing circuit to sense an ER to the electrical stimulation, and a controller circuit. In response to electrical stimulation delivered to the neural target via the stimulation electrodes according to stimulation settings, the controller circuit may collect ER from each of a set of sensing electrodes selected from electrodes on the lead, but not including all of the electrodes. The selected electrode may be different from the stimulation electrode, or within a specific proximity distance of the stimulation electrode. Based on a comparison of the sensed ER to an acceptance criterion, the controller circuit may provide a suggestion to reposition the lead or adjust the stimulation setting.

The invention discloses a neural modulation recognition confrontation defense method and system based on a fast robust encoder, and a storage medium, and belongs to the field of automatic signal modulation classification. The method comprises the following steps: inputting an input signal into an RE-NMR model, and outputting a modulation mode of the signal; the construction of the RE-NMR model comprises the following steps: pre-placing a robust encoder RE in an NMR model to form the RE-NMR model; determining a data set, and taking a near-synonym signal set and a synonym signal set corresponding to each input signal in the data set as a training data set to train the RE-NMR model; in a process of outputting a coded signal of a corresponding signal through a robust encoder RE, training is carried out by taking a target function of enlarging a feature distance between an input signal and an abnormal signal set, reducing the feature distance between the input signal and a near-synonym signal set, and reducing classification loss of the input signal as a target function. According to the method, the structure of the NMR model is not fixed, the NMR models of different structures can be more flexibly compatible, and the adversarial disturbance of the input signal is automatically processed, so that the adversarial defense capability of the NMR model is effectively improved.

Gel pad for a neuromodulation device

An ejaculation control nerve regulating device comprises a main unit and a stimulating component. The main unit includes an electrical stimulation circuit and an outputting electrode electrically connected to the electrical stimulation circuit. The electrical stimulation circuit has a multi-frequency stimulation circuit and a mixed-frequency circuit electrically connected to each other. The stimulating component has a contacting electrode and a stimulating electrode electrically connected to each other. The electrical stimulation circuit outputs the mixed-frequency stimulation current to the outputting electrode via the multi-frequency stimulation circuit and the mixed-frequency circuit, and the outputting electrode contacts the contacting electrode of the stimulating component and conducts the mixed-frequency stimulation current to the stimulating component. The electrical stimulation circuit outputs the mixed-frequency stimulation current via a weighted frequency mixing control method or a time-based frequency mixing control method.

Disclosed is an assisted programming system for a neuromodulation device that is configured to assist a clinician to efficiently program the neuromodulation device for a particular patient. In particular, the assisted programming system comprises a user interface with a plurality of controls such as switches, each switch control corresponding to a predetermined configuration of the stimulus electrodes. Activation and de-activation of the switch controls causes stimuli to be delivered via the respective stimulus electrode configurations. Alternatively, or additionally, the user interface controls may be tiles, whose activation may cause the state of delivery of stimulation via the respective stimulus electrode configurations to be inverted.