47 results about "Evoked potential" patented technology

The invention provides a nerve stimulation system which comprises a stimulation device, the stimulation device comprises a signal generation circuit, a control module, a signal acquisition circuit and a reuse electrode, and the stimulation device is arranged to be implantable in a body, generates a stimulation signal and applies the stimulation signal to a target nerve through the reuse electrode; the signal generation circuit applies a titration stimulation signal to a target nerve according to a preset mode, the signal intensity of the titration stimulation signal in the preset mode is gradually increased to a peak value from an initial threshold value, and then the titration stimulation signal is generated after the peak value is kept for a period of time or some stimulation periods; gradually reducing to a termination threshold value and ending; when a titration stimulation signal is applied to a target nerve, the signal acquisition circuit can correspondingly acquire an evoked potential; and selecting the stimulation parameter with the lowest stimulation signal intensity in the evoked potential time period meeting the target threshold value as a parameter of a treatment stimulation signal for subsequent treatment stimulation signal application.

The invention discloses an MEP automatic measurement and threshold discrimination method and system based on a mechanical arm. The MEP automatic measurement and threshold discrimination method comprises the following steps: constructing a scalp hotspot probability distribution map based on a brain map; dividing the hotspot scalp map into a plurality of sub-regions, and selecting candidate points from the plurality of sub-regions to obtain a candidate scalp stimulation point list; carrying out transcranial magnetic stimulation according to a point position sequence of the candidate scalp stimulation point list, simultaneously collecting a motor evoked potential signal triggered by each stimulation, and simultaneously collecting a motor evoked potential signal triggered by each stimulation; preprocessing and feature extraction are carried out on the collected motor evoked potential signals, whether stimulation evokes effective MEP response or not is judged through a response judgment method, and a candidate point-MEP response database is formed; screening an optimal motion hotspot point location in the candidate area, and taking the optimal motion hotspot point location as a target site; and searching an individualized resting motion threshold value on the optimal motion hotspot point location.

An electrical stimulation device for a cortical evoked potential capable of acquiring an electrical stimulation sequence on the basis of a task. Different channel sets related to a plurality of functions are constructed and sorted, that is, channels in any channel set that have not undergone electrical stimulation acquire alternative values of the channel sets on the basis of task-related electroencephalogram activation levels, and the alternative values corresponding to different channel sets are sorted to obtain a sequence of the channel sets; channels are sorted on the basis of the task-related electroencephalogram activation levels; and the order of the sorted channels is used as a preset electrical stimulation sequence for a cortical evoked potential. The device can characterize the relevance of channels across different functional areas, and can indicate the importance of the channels in the functional areas, such that a doctor is guided more objectively to obtain more useful electrical stimulation data within a shorter surgical time, so as to determine whether the positions of the channels affect functions and whether resection is allowed.

1. Name of the product in this design: Electromyography Evoked Potential Instrument. 2. Purpose of this design: To determine the functional status and suspected lesions of the peripheral neuromuscular system and central nervous system, detect subclinical lesions, and accurately locate lesions. 3. The key design feature of this product is its shape. 4. The image or photograph that best illustrates the design's key points: a 3D model. 5. The bottom surface of this product is a part that is not easily seen or cannot be seen during use, so the bottom view is omitted.

1. The name of the design product: electromyographic evoked potential instrument head box. 2. The use of the design product: used for collecting signals through electromyography and evoked electricity collection channel, and for differential, filtering and other pretreatment. 3. The design points of the design product: in shape. 4. The picture or photo that best indicates the design points: perspective view.

The present application belongs to the technical field of medical signal processing and neural electrophysiological diagnosis, and particularly relates to a method for establishing an epilepsy diagnosis system based on time-varying brain network and evoked potential regulation. The present application aims to solve the problems that the prior art is difficult to capture the dynamic causal flow of neural activity, cannot accurately depict the transient reorganization characteristics of brain regions of juvenile myoclonic epilepsy (JME) patients, and lacks multi-modal feature integration analysis. The present application comprises the following steps: collecting whole brain electroencephalogram signals; extracting TMS evoked potential waveform after preprocessing; constructing a time-varying adaptive directional transfer function matrix; screening a time-varying brain network visualization atlas; performing baseline correction and superimposed averaging on the evoked potential; identifying the differences in connection and potential between JME patients and healthy controls and different clinical subgroups; and finally integrating the whole process to establish a standardized automated analysis system and a structured database. Through the method, the joint quantification of cortical excitability and time-varying causal connection is realized, and the objectivity, sensitivity and mechanism analysis ability of epilepsy diagnosis are significantly improved.

1. The name of the design product: the control panel of electromyographic evoked potential instrument. 2. The use of the design product: used for starting, stopping and adjusting the intensity of stimulation by pressing the keys and rotating the knobs. 3. The design points of the design product: in shape. 4. The picture or photo that best shows the design points: perspective view.

Methods and systems for proving spinal cord stimulation (SCS) for treating pain in a patient are described. Embodiments of the described methods and systems can provide sub-perception SCS that has a fast wash-in time by using stimulation parameters that activate surround inhibition in the patient. Measuring retrograde potentials evoked by the stimulation can be performed to facilitate choosing the best stimulation parameters, in particular, the best stimulating electrode contact configurations for activating surround inhibition. For example, peripheral electrodes may be placed at the center of the patient's pain (within a local receptive field (LRF), with respect to the patient's pain center) and within an area surrounding the patient's pain center (within a surrounding receptive field (SRF), with respect to the patient's pain center). Retrograde evoked potentials measured and the SRF and / or the LRF can be used to guide the selection of the stimulation parameters.

This invention relates to the field of brain-computer interface (BCI) data processing technology, and discloses a BCI data processing method that integrates steady-state motor visual evoked potentials and motor imagery. The method includes: generating a bimodal task configuration table; generating a bimodal synchronized stimulation sequence; acquiring and labeling multi-lead EEG signals; extracting visual response features and motor imagery response features; performing motor intention recognition; and generating rehabilitation feedback information. Compared to the single visual evoked paradigm in existing technologies, especially under conditions of significant differences in subjects' motor imagery abilities and low EEG noise ratios, this invention addresses the technical problem of failing to achieve stable motor intention recognition. By synchronously binding motor visual stimulation with motor imagery tasks and jointly extracting visual frequency response and motor imagery desynchronization features, stable recognition of motor intention is achieved, improving the recognition accuracy of rehabilitation BCI training.

The present invention relates to an apparatus for treating neurological or psychiatric disorders using i-wave periodicity-dependent Quadri-Pulse Theta Burst Stimulation (iQPS). The system comprises a transcranial magnetic stimulation (TMS) stimulator configured to deliver test pulses to a target motor cortical area and therapeutic theta bursts to a treatment area with pulse frequency tailored to the patient's individual i-wave periodicity. An electromyography (EMG) device records motor evoked potentials (MEPs) from a target muscle and analyzes the intervals between MEPs to determine the i-wave periodicity. The personalized stimulation enhances cortical plasticity by synchronizing stimulation with the brain's intrinsic neural timing. The invention is applicable to neurological and psychiatric conditions that include depression, schizophrenia, stroke recovery and neuropathic pain. Advantages include improved treatment efficacy, reduced variability in patient response and a non-invasive, adaptive therapy model that aligns with the patient's unique neurophysiological characteristics, offering a precise and scalable approach to brain stimulation.

The application discloses an electrode sheet for auditory evoked potential detection and a use method thereof, which comprises a skin-friendly layer, a conductive layer and a bearing layer arranged in sequence in the thickness direction of the electrode sheet, wherein the skin-friendly layer comprises a leakage-stopping rubber ring located at an outer ring, a physiotherapy rubber block arranged at an inner ring of the leakage-stopping rubber ring and a non-woven fabric, the non-woven fabric is located at a side away from the conductive layer and covers the physiotherapy rubber block; the physiotherapy rubber block comprises a temperature-sensitive solvent and solute particles arranged in the temperature-sensitive solvent, the temperature-sensitive solvent can change with temperature and transform between solid and liquid states; through the coating cooperation of the temperature-sensitive solvent and the solute particles in the skin-friendly layer, the electrode sheet can warm, massage and medicate the used object before auditory evoked detection, thereby providing effective calming effect, and the solute particles provide a uniform and stable current channel, thereby ensuring the stability of evoked electrical signals and the safety of external input current.

The invention provides a coupled physiological index calculation method and device based on synchronous respiration, continuous blood pressure and electroencephalogram signals. The method comprises the steps that synchronous physiological signals are preprocessed; a continuous blood pressure signal feature point detection and processing step; identifying a peak point of systolic pressure for each period of the continuous blood pressure signal; each peak point is an SBP event; detecting and processing respiratory signal feature points; defining an inspiration phase from the current breathing valley point to the next breathing peak point and an expiration phase from the current breathing peak point to the next breathing valley point; a breathing phase classification step of the SBP event; traversing the SBP events, and judging whether each SBP event belongs to an inspiratory phase or an expiratory phase; taking the SBP event corresponding to the inspiration phase as an anchor point to obtain an inspiration phase systolic pressure evoked potential; taking the SBP event corresponding to the expiration phase as a reference point to obtain an expiration phase systolic pressure evoked potential; the inspiratory phase systolic pressure evoked potential and the expiratory phase systolic pressure evoked potential are coupling physiological indexes.

The invention discloses a child hyperactivity degree evaluation system based on heartbeat evoked potential, comprising: a signal acquisition module for synchronously acquiring an electroencephalogram signal and an electrocardiosignal of a testee in two resting states of eye-open rest and eye-closed rest; the signal preprocessing module is used for carrying out filtering and artifact removal on the collected electroencephalogram signals and carrying out R-wave detection and marking on the electrocardiosignals; the feature extraction module is used for extracting heartbeat evoked potential features based on the preprocessed signals; wherein the step of extracting the heartbeat evoked potential features comprises the following substeps: identifying a heartbeat evoked potential significant cluster with significant difference between the hyperactivity children and the typical development children by using a cluster-based arrangement test method, and extracting the average amplitude in the cluster; and the evaluation application module is used for constructing a multiple linear regression model based on the extracted heartbeat evoked potential characteristics so as to predict the severity of the hyperactivity symptom. According to the invention, accurate evaluation of the hyperactivity of children can be realized.

The present disclosure relates to an apparatus, a method, and a computer program for detecting cortical-cortical evoked potentials (CCEP) using transcranial magnetic stimulation (TMS). In particular, the apparatus comprises: a communication module for communicating with an external device; a memory storing at least one process for performing CCEP detection using the TMS; and a processor for performing CCEP detection using the TMS according to the process. The processor can be configured to: calculate noise intervals by collecting electroencephalogram (EEG) signals induced by TMS; cluster EEG channels excluding the calculated noise intervals; perform clustering EEG analysis on the basis of representative EEG signals of each cluster; perform individual EEG analysis on the basis of individual EEG signals within each of the clusters; and then detect CCEP signals on the basis of the clustering EEG analysis results and the individual EEG analysis results.

This invention relates to the field of neuroelectric stimulation technology, specifically a method and system for current regulation during neuroelectric stimulation. The method identifies the target nerve location and depth based on tissue impedance distribution data and patient characteristic parameters, using a deep neural network model to obtain a recommended initial stimulation current value and a personalized target amplitude. It acquires the deviation between the evoked potential amplitude and the personalized target amplitude, and analyzes this deviation with waveform characteristic parameters to obtain a first current regulation step value to adjust the coarse stimulation current until the evoked potential amplitude exceeds the personalized target amplitude. At this point, the current coarse stimulation current value is recorded as the optimized stimulation current value, and a comprehensive quality score is obtained. Based on the comprehensive quality score, a second current regulation step value is dynamically calculated to adjust the fine-tuned stimulation current value. When the comprehensive quality score exceeds a preset quality score threshold, the final stimulation current value is obtained. This effectively improves the accuracy of current regulation during neuroelectric stimulation for different patients.

The invention discloses an intraoperative nerve stimulation monitoring system, method and device and a medium. The system comprises a signal acquisition module which is used for acquiring a target somatosensory evoked potential signal and target physiological parameter information in an operation process; the signal processing module is used for carrying out noise reduction and standardization processing on the target somatosensory evoked potential signal; the signal anomaly detection module is used for judging whether the target somatosensory evoked potential signal is abnormal or not according to the waveform interpretation model and the target physiological parameter information; wherein the waveform interpretation model is constructed based on a convolutional neural network, a long-short-term memory network and an attention mechanism, and is trained by adopting a double-branch knowledge distillation structure; and the alarm module is used for triggering real-time alarm if the target somatosensory evoked potential signal is abnormal. According to the technical scheme, the waveform interpretation model can be combined with the physiological parameter information to carry out efficient and accurate signal anomaly detection and alarm on the SEP signal in the operation, so that the safety and the accuracy of the operation are guaranteed.

1. The name of the design product: electromyographic evoked potential instrument. 2. The use of the design product: used for judging the integrity and distance of nerve or muscle through myoelectric signal in the process of operation. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view 1.

The invention provides an anesthesia depth monitoring method, system and device based on auditory response and a medium, and the method comprises the following steps: constructing and outputting a composite auditory stimulation sequence formed by alternate circulation of a steady state evoked segment and a cognitive probing segment, the cognitive probing segment being a rapid presentation with a stimulation interval smaller than evoked potential duration; the continuous scalp electroencephalogram of the subject is acquired. Intercepting steady-state evoked section data, extracting steady-state auditory evoked response features and calculating a first anesthesia depth index; intercepting cognitive exploration section data, extracting event-related potential by adopting an overlapped signal separation algorithm, and calculating a second anesthesia depth index. And determining two confidence coefficients weights based on the signal quality of the steady-state section and the residual noise of the cognitive section, carrying out weighted fusion on the two indexes according to the weights, and generating and outputting a comprehensive anesthesia depth index for real-time and robust anesthesia depth evaluation and prompt. By implementing the technical scheme provided by the invention, the problem of low updating rate of traditional cognitive potential monitoring data can be solved.

The invention discloses a psychological stress layering recognition method and related equipment, and the method comprises the steps: extracting a feature index according to the information of a heartbeat evoked potential of a target object, and constructing a stress state layering standard; collecting multi-channel electroencephalogram signals and electrocardiosignals and preprocessing the electroencephalogram signals and the electrocardiosignals to obtain a multi-modal time sequence data set; a pressure state sensing attention mechanism and a multi-scale time window analysis module are introduced for pressure layering and causal analysis modeling, and causal relationship modes under different pressure states are obtained; and carrying out brain nerve-heart electrophysiological activity coupled pressure layering identification on the target object to obtain a psychological pressure layering identification result of the target object. According to the embodiment of the invention, the method improves the efficiency and precision of pressure recognition, achieves the interpretability of the neurophysiological mechanism of pressure recognition, improves the transparency and clinical credibility of the model, is high in practicality, and can be widely used in the technical field of artificial intelligence.

1. The name of the design product: electromyographic evoked potential instrument host. 2. The use of the design product: for outputting acousto-optic-electric multi-modal stimulation, collecting and processing electromyographic signals, and communicating and data transmitting with upper computer. 3. The design points of the design product: in shape. 4. The picture or photo that can best show the design points: perspective view.

Provided herein is a method for predicting: a proxy evoked potential pattern, EP pattern (124'), and / or one or more proxy evoked potential parameters, proxy EP parameters (126'), of the EP pattern (124'), and / or one or more parameters derivable from the one or more proxy EP parameters, proxy dEP parameters (126'), the method comprising: receiving test electroencephalogram data, test EEG data, of the test subject containing at least one data segment, test FP EEG data segment, of the test EEG data, wherein the test FP EEG data segment is a portion of the test EEG data devoid of influence of an evoked potential, - determining from the at least one test FP EEG data segment, or one or more test FP EEG parameters determined from the FP EEG data segment, the proxy EP pattern, and / or the proxy EP parameter, and / or the proxy dEP parameter.

The invention provides a nerve stimulation system which comprises a stimulation device, the stimulation device comprises a control unit, a stimulation signal generation circuit, a signal acquisition circuit and a reuse electrode, and the stimulation device is arranged to generate a stimulation signal and apply the stimulation signal to a target nerve through the reuse electrode; the stimulation signal comprises a forward signal and a reverse signal, and the signal acquisition circuit is set to acquire evoked potential generated by the stimulation signal on a target nerve through the multiplex electrode; after the stimulation signal generated by the stimulation signal generation circuit is applied to the target nerve, the stimulation device can adjust the parameters of the subsequent stimulation signal according to the evoked potential, and the stimulation device can selectively execute signal acquisition; the ratio of the signal acquisition times to the stimulation signal sending times is in a preset ratio range.

The application discloses a psychological stress layering identification method and related equipment, and the method comprises the following steps: extracting a characteristic index according to information of a heartbeat evoked potential of a target object, and constructing a stress state layering standard; collecting multi-channel electroencephalogram signals and electrocardiogram signals and performing pretreatment to obtain a multi-modal time sequence dataset; introducing a stress state perception attention mechanism and a multi-scale time window analysis module to perform stress layering and causal analysis modeling, and obtaining a causal relationship mode under different stress states; performing stress layering identification of brain nerve-heart electrical physiological activity coupling on the target object, and obtaining a psychological stress layering identification result of the target object. The application embodiment improves the efficiency and accuracy of stress identification, realizes the neurophysiological mechanism interpretability of stress identification, improves the transparency and clinical credibility of the model, has high practicability, and can be widely applied to the field of artificial intelligence technology.

This invention relates to an instrument for treating neurological or psychiatric disorders using i-wave periodicity-dependent four-pulse theta burst stimulation (iQPS). The system includes a transcranial magnetic stimulation (TMS) stimulator configured to deliver test pulses to a target motor cortex region and therapeutic theta bursts to a treatment region, wherein the pulse frequency is customized according to the patient's individual i-wave periodicity. An electromyography (EMG) device records motor evoked potentials (MEPs) from the target muscles and analyzes the intervals between MEPs to determine the i-wave periodicity. Personalized stimulation enhances cortical plasticity by synchronizing stimulation with the brain's intrinsic neural timing. This invention is applicable to neurological and psychiatric conditions including depression, schizophrenia, stroke recovery, and neuropathic pain. Advantages include improved therapeutic efficacy, reduced patient response variability, and a non-invasive adaptive therapy model aligned with the patient's unique neurophysiological characteristics, thus providing a precise and scalable approach to brain stimulation.

Methods and systems for providing stimulation to a patient's brain using one or more electrode leads implanted in the patient's brain are described. The methods and systems use evoked potentials (EPs) and other indicators of therapeutic effectiveness / side effects to provide closed-loop control of the stimulation. Some embodiments involve recording EPs and using one or more features of the EPs to model how the stimulation activates networks within the patient's brain. A control algorithm can be used to maintain the network activation within a predetermined ranges.

The invention provides a nerve stimulation system. The nerve stimulation system comprises a signal generation module, a control module, a signal acquisition module and a reuse electrode, the control module can control the signal generation module to generate a stimulation signal and output the stimulation signal to a target nerve through the reuse electrode; the control module can also control the signal acquisition module to acquire a potential signal of a target nerve through the multiplex electrode; the control module processes the acquired potential signal as follows: inputting the acquired potential signal into a pre-trained evoked potential extraction model to obtain an evoked potential signal corresponding to the stimulation signal; the control module adjusts parameters of the subsequent stimulation signals based on the evoked potential signals. According to the nerve stimulation system, the evoked potential signal is extracted from the potential signal acquired by the signal acquisition module through the pre-trained model, and the hardware requirement and the energy consumption requirement on the signal acquisition module are reduced, so that the nerve stimulation system which is smaller in implantation volume and longer in effective use time can be provided.

Provided is a closed-loop neuromodulation system involving coordinated intervention of the brain, the spinal cord, and the lumbosacral region, which comprises a deep brain stimulation unit (401), a deep brain field potential sensing unit (402), a spinal cord stimulation unit (501), an evoked potential sensing unit (502), a control decision-making unit (10), a deep brain electrode (403), a spinal cord electrode (503), a lumbosacral electrode (602), a docking lead (601), a radio frequency transmission unit (20), and a wireless charging and power management unit (30). By constructing an application strategy for coordinated regulation of the brain, the spinal cord, and the lumbosacral region, only one neurostimulator needs to be implanted. It can be used alone for brain diseases or spinal cord-related diseases, and can also be used for coordinated stimulation for motor function reconstruction and recovery in paralyzed patients and patients with motor dysfunction, as well as for the treatment of urinary system complications. The whole system is modular in application, can be selectively used according to disease conditions, and has a wider application range.

The application provides a nerve stimulation system, comprising a stimulation device, the stimulation device comprising a signal generating circuit, a control module, a signal collecting circuit and a multiplexed electrode, the stimulation device being configured to be implanted in vivo, to generate a stimulation signal and to apply the stimulation signal to a target nerve through the multiplexed electrode; the control module being configured to perform a closed-loop titration procedure: the signal generating circuit applies a titration stimulation signal to the target nerve according to a preset mode, in which the signal intensity of the titration stimulation signal starts from an initial threshold value, stepwise increases to a peak value, and then gradually decreases to an end threshold value after the peak value is maintained for a period of time or a plurality of stimulation cycles; the signal collecting circuit is capable of collecting an evoked potential corresponding to the application of the titration stimulation signal to the target nerve; and when an evoked potential period meeting a target threshold value is selected, a stimulation parameter with the lowest signal intensity in the evoked potential period is selected as a parameter of a treatment stimulation signal, which is used for the subsequent application of the treatment stimulation signal.

The invention provides a nerve stimulation device, which comprises a control unit, a stimulation signal generation circuit, a signal acquisition circuit and a reuse electrode, and is characterized in that the stimulation signal generation circuit generates a stimulation signal and applies the stimulation signal to a target nerve through the reuse electrode; the stimulation signal comprises a forward signal and a reverse signal, and the signal acquisition circuit is configured to acquire evoked potential generated by the stimulation signal on the target nerve through the multiplex electrode; after a stimulation signal generated by the stimulation signal generation circuit is applied to a target nerve, the control unit can adjust the parameters of the subsequent stimulation signal according to the evoked potential, and the adjustment comprises the steps of eliminating a basic evoked potential from the evoked potential, obtaining an incremental evoked potential and outputting the incremental evoked potential. The incremental evoked potential is used as a response to the stimulation signal, and then the parameters of the stimulation signal are adjusted.

The invention provides a cardio-cerebral coupling-based graph convolution addiction craving prediction method and system. The method comprises the following steps of: obtaining an electrocardiosignal and an electroencephalogram signal generated when a subject watches a video containing a craving clue; performing fragment interception on the electroencephalogram signal near the R wave peak value by using the electrocardiosignal to obtain an electroencephalogram fragment sequence; and inputting the electroencephalogram fragment sequence into the trained desire prediction model so as to predict the desire state. According to the method, multi-mode data of electrocardio and electroencephalogram are fused, an electroencephalogram fragment sequence is intercepted in combination with heartbeat evoked potential, and a deep learning desire state prediction model is input to predict the current desire state of a subject. According to the method, subjective deviation of a traditional self-reporting method can be avoided, more objective and timely intervention measures are provided for treatment, the treatment effect is effectively improved, invalid treatment is reduced, and more scientific support is provided for rehabilitation of patients abstained from drugs.