38 results about "Neural modulation" patented technology

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.

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.

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.

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 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.

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.

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 herein are systems and methods that can involve a neuromodulation device configured to perform in multiple electrical modulation modes with a single architecture.

This application relates to a neural modulation method, system, and medium for controlling premature ejaculation based on multimodal biosensing and AI algorithms, belonging to the field of communication stimulation control technology. The neural modulation method for controlling premature ejaculation includes: monitoring and collecting and processing different physiological activities of the human perineum to obtain multidimensional physiological response signal clusters; calculating the comprehensive arousal level based on historical multidimensional physiological signals and a preset physical pattern, and constructing an arousal curve model; identifying and judging the multidimensional physiological response signal clusters based on the arousal curve model, determining the type of arousal node, and matching behavioral intervention strategies; updating and optimizing the arousal curve model based on active behavioral actions and implicit feedback mechanisms; and by monitoring the user's biophysiological signals in real time, using AI algorithms to analyze the trend of arousal changes, and performing physical intervention through electrical stimulation at key nodes, thereby reducing sensitivity, delaying the ejaculation threshold, and achieving the goal of prolonging sexual intercourse time.

This invention relates to the field of autism spectrum disorder technology, specifically to a personalized social skills training system for autism, comprising a multimodal data acquisition module, a personalized cognitive state assessment module, a parameterized social scenario generation module, an adaptive decision control module, and a closed-loop neural modulation module. The system synchronously acquires the user's electroencephalogram (EEG), eye movements, and other physiological signals, calculates quantitative indicators such as the cognitive load index in real time, and dynamically generates adjustment instructions for the difficulty parameters of virtual social scenarios using methods such as model predictive control, so as to match the training task with the user's real-time cognitive load. Simultaneously, the system can trigger non-invasive brain stimulation synchronized with the user's own EEG phase when specific neural oscillation characteristics are detected. This invention achieves personalized, adaptive social skills training based on real-time feedback of intrinsic physiological state, and also possesses the ability to target and modulate abnormal neural activity patterns.

Autonomic nervous system control via high frequency spinal cord modulation, and associated systems and methods. A method for treating a patient in accordance with a particular embodiment includes selecting a neural modulation site to include a neural population of the patient's spinal cord, and selecting parameters of a neural modulation signal to at least reduce an autonomic system deficit in the patient.

This disclosure relates to the field of electroencephalogram (EEG) signal processing technology, specifically to a method, device, system, and electronic device for synchronous feedback of proprioceptive brainwave audio auditory perception. The method receives EEG signals from an EEG acquisition device online via a host computer, acquires EEG signals of a specified frequency band, extracts corresponding EEG features, and, based on a specified audio representation and audio generation method, segments the specified frequency band EEG signals into multiple EEG segments according to the EEG features or preset rhythm parameters. Multiple audio representations corresponding to these segments are then generated. The feature parameters of the audio representations are determined based on the EEG features of the corresponding EEG segments. Brainwave audio representation data is generated based on the audio representations corresponding to one or more specified frequency band EEG signals, and brainwave audio is obtained from the brainwave audio representation data. This simultaneously satisfies the physiological adaptability of neural modulation and the artistic expressiveness of audio generation, achieving an organic unity between neural modulation and audio generation.

The invention provides a big language model reasoning method and electronic equipment. The method comprises the following steps: carrying out value projection calculation on a hidden representation output by a self-attention sub-layer through a value projection branch to obtain a value output vector; performing gated projection calculation on the hidden representation output by the self-attention sub-layer through a gated projection branch to obtain a neural modulation factor; performing linear projection calculation on the hidden representation output by the self-attention sub-layer through a modulation projection branch to obtain a modulation output vector; performing bilinear interaction calculation on the value output vector and the modulation output vector to obtain an intermediate interaction vector, and adjusting the intermediate interaction vector by using a neural modulation factor to obtain an interaction vector; carrying out vector fusion on the interaction vector and the value output vector to obtain a fusion feature; and carrying out residual and normalization calculation on the fusion feature and the hidden representation output by the self-attention sub-layer to obtain the output of the feed-forward sub-layer. According to the invention, the modeling capability of the model for semantic combination is improved.

Systems for nerve and tissue modulation are disclosed. An example system may include a first elongate element having a distal end and a proximal end and having at least one nerve modulation element disposed adjacent the distal end. The nerve modulation element may be positioned or moveable to target a particular target region. The nerve modulation element may be an ultrasound transducer. The nerve modulation element may be configured to be operated at a low intensity to provide a thermal nerve block or a high intensity to effect tissue modulation.

Systems for nerve and tissue modulation are disclosed. An example system may include a first elongate element having a distal end and a proximal end and having at least one nerve modulation element disposed adjacent the distal end. The nerve modulation element may be positioned or moveable to target a particular target region. The nerve modulation element may be an ultrasound transducer. The nerve modulation element may be configured to be operated at a low intensity to provide a thermal nerve block or a high intensity to effect tissue modulation.

Gel pad for a neuromodulation device

This invention discloses a system for early warning and closed-loop inhibition of epileptic discharges, belonging to the fields of quantum biosensing, brain nerve signal monitoring, and closed-loop regulation. The system includes quantum biomagnetic signal acquisition, data processing, quantum magnetic field intervention, communication transmission, and safety monitoring and protection units. The acquisition unit employs a room-temperature quantum weak magnetic sensing structure to non-contactly acquire weak magnetic field signals from brain nerves, eliminating contact impedance fluctuations and motion artifacts. The processing unit identifies early warning abnormal signals through a multi-level anomaly detection algorithm. The intervention unit outputs a matching magnetic field based on the principle of quantum coherence, achieving non-invasive suppression of abnormal discharges and neural modulation. The system is flexible in deployment and compatible with multiple transmission methods, addressing the pain points of traditional devices such as low accuracy, high misjudgment, crude intervention, and structural limitations. It possesses advantages such as high sensitivity, anti-interference, non-irritation, and wide applicability, making it suitable for epileptic early warning and closed-loop inhibition of abnormal discharges. It is highly versatile and offers broad protection.

The application discloses an emotion intervention system and device based on nostalgia therapy, and belongs to the technical field of mental health intervention and intelligent medical equipment. The device comprises a stimulus presentation, a physiological signal collection, a behavior reaction identification, a neural response modeling, an intervention effect evaluation, and a central control and feedback adjustment subsystem. A closed-loop intervention architecture is formed through a real-time communication bus interconnection. An individualized life event image set is presented. Multi-modal physiological signals and behavior reactions are synchronously collected. A neural response model is constructed based on abnormal activation patterns of brain regions revealed by functional magnetic resonance imaging. The activation level of target brain regions is predicted. The intervention effect is evaluated by comprehensively evaluating multiple indicators. The central control system uses a hierarchical reinforcement learning algorithm. The stimulus sequence is dynamically adjusted according to the evaluation results and the neural response prediction value. The individualized and precise emotion intervention for subclinical depression is realized. The intervention effect and the neural regulation pertinence are effectively improved.

Computer-implemented methods and apparatus that use neural modulation codes as an alternative to training many individual recognition models or to loosing performance by training mixed models. Large neural models are modulated by codes that model the different conditions. The codes directly alter (modulate) the behavior of connections in a multiconditional perceptual classifier, so as to permit the most appropriate neuronal units and their features to be applied to each condition. The approach may be applied to multilingual ASR, where the resulting multilingual network arrangement is able to achieve performance that is competitive or better than individually trained mono-lingual network. Moreover, the approach requires no adaptation data or extensive adaptation / training time to operate in a manner tuned to each condition. Beyond multilingual speech processing systems the approach can be applied to many other perceptual processing problems (e.g. speech recognition, speech synthesis, language translation, image processing) to factor the processing task from the conditioning variables that drive the actual realization. Instead of adapting or retraining neural systems to individual conditions, it modulates a large invariant network to operate in different modes based on conditioning codes that are provided by auxiliary networks that model these conditions.

The present disclosure relates generally to devices, systems and methods for neuromodulation and neural recording and, in particular, to transient electrodes and associated systems and methods for neuromodulation and neural recording.