68 results about "Evoked potential" patented technology

The invention discloses a multi-modal electroencephalogram classification method under multi-source interference based on a multi-head attention mechanism, and relates to the technical field of electroencephalogram signal processing. The method comprises the following steps: synchronously acquiring three types of electroencephalogram modal signals of motor imagery, steady-state visual evoked and event-related potentials, and synchronously acquiring multi-source interference data; performing data preprocessing on the multi-mode signal data; time domain, frequency domain and spatial domain three-dimensional features of each electroencephalogram mode are extracted, and meanwhile, physical features of interference data are quantified; the multi-domain features of the three types of electroencephalogram modes serve as parallel query vectors, the multi-source interference features serve as key value vectors, interference suppression weights are dynamically distributed through a layered attention mechanism, and anti-interference enhanced multi-mode fusion features are generated; and the multi-modal fusion features are processed through a gating circulation unit and a time domain attention module, a multi-modal classification result is output, and online learning and weight updating are carried out. According to the method, a robust decoding scheme can be provided for a brain control interaction system in a complex environment.

Methods and systems for spinal cord stimulation (SCS) are disclosed. The methods and systems involve the use of electrode leads implanted within the spine of a patient to record nerve responses induced by a stimulus. The disclosed neural responses differ in various aspects from the electrical responses previously measured in the SCS context, such as stimulation artifacts and evoked compound action potentials (ECAPs). The disclosed neural responses typically occur at a later time after inducing the stimulation pulse. Another significant feature is that when the frequency of evoked stimulation is ultra-low, such as about 10 Hz or less, the disclosed neural response is most significantly observed at a consistent, relatively constant amplitude as a whole. The disclosed methods and systems may use these neural responses as indications of pain, treatment, and / or another clinically relevant dimension to guide / confirm stimulation placement, as well as feedback control for stimulation parameters.

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 a transcranial alternating current stimulation system and a transcranial alternating current stimulation method based on event-related potential double-component alignment. The system comprises an individualized feature extraction module, a dynamic phase mapping module, a real-time synchronous triggering module and a closed-loop feedback module, wherein the individualized feature extraction module extracts an ERP component latency period and a dominant oscillation frequency based on task state electroencephalogram data; the dynamic phase mapping module establishes phase alignment of an ERP component time window and a tACS waveform to realize a brain oscillation control process; the real-time synchronous triggering module calculates an evoked potential incubation period and a visual presentation incubation period of a corresponding task item, accurately matches a peak value of the evoked potential with a corresponding peak value of a tACS waveform, reads a current phase of the tACS waveform in advance, performs prospective prediction, adjusts the starting time of each stimulation, and realizes millisecond-level stimulation synchronization; the closed-loop feedback module monitors the brain state on line and dynamically corrects alignment parameters to ensure that the stimulation effect is stable; according to the method, accurate phase alignment of tACS and brain endogenous ERP components is realized, neural activities in a specific cognitive process can be effectively enhanced or inhibited, and the accuracy and individualization level of neural regulation and control are improved.

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.

The present invention discloses a method for measuring the masking level of a wide-spectrum, short-duration signal used in a bone-conduction auditory evoked potential (BAP) test. The method comprises: measuring the stimulation force level of a subject's bone vibrator; placing the BAP vibrator of the evoked potential instrument at the mastoid process on one side of the subject, outputting a short-duration signal at a set intensity as a stimulus; and simultaneously applying white noise of varying intensities to both sides of the subject; and calculating, based on the stimulation force level and the subject's response, the contralateral noise masking level sufficient to mask the BAP signal. This invention, for the first time, derives the contralateral masking level of a BAP wide-spectrum, short-duration signal, providing a reference value for the practical application of BAP.

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.

Methods and systems for recording evoked potentials evoked during electrical stimulation of nervous tissue of a patient are disclosed. These methods and systems can be used in therapeutic regimens, such as spinal cord stimulation (SCS). The disclosed methods and systems allow for reduction or removal of stimulation artifacts in recorded signals. The remainder of the stimulation artifacts may be modeled and subtracted from the recorded signal that includes the artifacts and the neural response contributions.

The present application discloses a pathological network connection method, device, equipment and storage medium for processing cortico-cortical evoked potentials. The method includes obtaining the original cortico-cortical evoked potential data, superimposing and averaging the electroencephalogram signals obtained from multiple repeated stimulations of the same evoked stimulus, performing false discovery rate verification on the thresholds obtained from all evoked stimuli, obtaining the connection relationship between the evoked electrode and the current electrode according to the verification, constructing a stimulus-response matrix diagram and constructing a connection relationship diagram between all brain electrode sites; the above solution provided by the present application obtains the position of the electrode site in the brain region through the CT and magnetic resonance imaging registration method, aggregates the stimulus responses of the electrode sites between the same brain regions together, obtains the connection relationship between the cerebral cortex brain regions, and thus can abstractly analyze the higher-level brain connection relationship, which helps to assist the surgical treatment that requires evoked stimulation and improves work efficiency.

1. The name of the design product: electromyography evoked potential instrument. 2. The use of the design product: the design product is used to determine the functional state of peripheral neuromuscular system and central nervous system and suspicious lesions, detect subclinical lesions, and accurately locate lesions. 3. The design points of the design product: the overall shape and pattern design of the product. 4. The picture or photo that best indicates the design points: perspective view 1.

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 relates to an eye disease and nerve disease integrated diagnosis and treatment system based on visual signal perception, and belongs to the technical field of visual function detection and diagnosis and treatment assistance. The method comprises the following steps: dynamically generating a black and white checkerboard stimulation signal through a visual stimulation generation unit, and triggering an eye and a nervous system to generate an original evoked potential signal; the signal acquisition and transmission unit acquires and sends the signal through an electrode plate and a wireless transmission module; the signal processing and judging unit is used for carrying out superposition processing on the signals, extracting effective waveforms and automatically executing spatial frequency threshold search to determine a minimum checkerboard; and the diagnosis and treatment scheme output unit generates a stimulation program based on the minimum checkerboard and dynamically generates a personalized diagnosis and treatment report. The full-process automation from stimulation generation, signal processing to scheme output is realized, the accuracy of threshold judgment and the personalization of the stimulation scheme are improved, and efficient and reliable technical support is provided for auxiliary diagnosis and curative effect evaluation of eye diseases and nerve diseases.

The present invention discloses a method and device for monitoring psychological stress based on heartbeat evoked potentials. The method comprises: obtaining multi-channel EEG signal sample data and single-channel ECG signal sample data under different psychological stress states; obtaining multiple heartbeat evoked potential samples based on the multi-channel EEG signal sample data and the single-channel ECG signal sample data; performing principal component analysis on the heartbeat evoked potential samples, removing outlier heartbeat evoked potential samples, and constructing a feature vector; performing classification prediction of psychological stress levels based on the constructed feature vectors, and configuring target parameters for a target model based on the prediction results; and performing predictive analysis on target EEG and ECG signals based on the target model to obtain corresponding psychological stress level monitoring results. The present invention is convenient and highly accurate, and can be widely applied in the field of data processing technology.

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.

Methods and systems for providing deep brain stimulation (DBS) for a patient are described. Electrical stimulation is provided to a patient's brain and evoked potentials (EPs) are recorded at two or more electrodes. The EPs evoked and / or recorded at different electrodes are used to estimate if the respective electrodes are located in the same or different anatomical brain regions. The EPs may also be used to predict or suggest appropriate stimulation rates for therapeutic stimulation.

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.

The invention discloses an intelligent nerve regulation and control method based on acoustic-magnetic pairing, and the method comprises the steps: enabling sound stimulation and transcranial magnetic stimulation to form paired stimulation, and introducing real-time motor evoked potential feedback; a closed-loop process from baseline acquisition and TMS intensity parameter determination, paired associated stimulation delay parameter optimization, personalized treatment scheme implementation, and curative effect evaluation and verification of RMT changes is constructed. The nerve excitability is dynamically monitored by using the objective electrophysiological indexes, so that the stimulation parameters are always personalized, the regulation and control precision is remarkably improved, and the traceability and quantification of the curative effect are ensured. According to the intelligent nerve regulation and control method based on acoustic-magnetic pairing provided by the invention, the target nerve pathway can be effectively regulated and controlled by reasonably designing paired association and delay parameters of sound stimulation and TMS stimulation, nerve function reconstruction and rehabilitation treatment are realized, and the method has the advantages of simplicity and convenience in operation, automatic parameter adjustment, safety and reliability.