50 results about "Transcranial direct-current stimulation" patented technology

The invention provides a multichannel transcranial direct current stimulation cognitive function assessment method and system, and belongs to the field of neuroscience and brain cognitive function assessment. The method comprises the steps that electroencephalogram signal data of a subject under multi-channel transcranial direct current stimulation are collected and preprocessed; respectively performing micro-state analysis, brain function connectivity analysis and oscillation power analysis on the preprocessed data; constructing a linear mixed effect model, and inputting the results of the micro-state analysis, the brain function connectivity analysis and the oscillation power analysis into the model for quantitative evaluation of the cognitive function state; and a time sequence database is constructed, and the time sequence database is used for storing cross-time-point analysis results and analyzing the long-term change trend of the cognitive function based on a statistical model. Dynamic, accurate and high-temporal-spatial-resolution evaluation of the cognitive state of the subject is achieved, the long-term change trend of the cognitive state is dynamically monitored, and technical support is provided for early warning and rehabilitation effect tracking of neurodegenerative diseases.

The invention discloses a peripheral-central-peripheral evaluation system based on electroencephalogram-myoelectricity dual-channel bidirectional mixed feedback, and the system is characterized in that a muscle electrical stimulation module is used for providing a current with a specific frequency, and carrying out the electrical stimulation of muscles; the transcranial direct current stimulation module is used for providing current with specific frequency and performing electrical stimulation on the cerebral cortex; the myoelectricity acquisition module and the electroencephalogram acquisition module respectively acquire electric signal data of tested muscles and cerebral cortex and transmit the electric signal data to the upper computer feedback module, and the upper computer feedback module is used for controlling the muscle electrical stimulation module and the transcranial direct current stimulation module to generate electrical stimulation and acquiring data acquired by the myoelectricity acquisition module and the electroencephalogram acquisition module; and the data is evaluated after being processed, and an evaluation result is sent to the terminal display module for real-time display. According to the scheme, in the evaluation process, through a bidirectional mixed feedback mechanism, accurate positioning of cerebral cortex and muscle group stimulation targets is achieved, the electrical stimulation and evaluation effect can be optimized, quantitative evaluation is conducted on the result through a bidirectional evaluation model, scientific quantitative indexes are provided, the influence of individual differences and state changes on the evaluation result is reduced, and the evaluation accuracy is improved. And the reliability and stability of evaluation are improved.

The invention belongs to the related technical field of neural rehabilitation engineering, and particularly relates to a cerebral apoplexy rehabilitation method based on fusion of a motor imagery brain-computer interface and transcranial direct current stimulation, which comprises the following steps: acquiring a corresponding artifact template based on transcranial direct current stimulation parameters; carrying out source separation on the collected electroencephalogram test times by adopting a joint blind source separation algorithm to obtain clean electroencephalogram signal components; wherein the construction mode of the artifact template library comprises the following steps: extracting electroencephalogram trial artifact samples of multiple stimulation periods, and generating a transcranial direct current stimulation artifact template through an average analysis or principal component analysis mode to obtain the artifact template library; performing motion intention decoding on the clean electroencephalogram signal component to obtain a motion intention of the patient; inputting the motion intention, pre-collected patient body state evaluation information and patient feedback comfort into a fuzzy system algorithm to obtain stimulation parameters of to-be-applied transcranial direct current stimulation, and realizing active rehabilitation through the transcranial direct current stimulation. According to the invention, algorithm-driven closed-loop rehabilitation regulation and control can be realized.

The invention discloses a transcranial electrical stimulation control method and system for regulating mental fatigue, and belongs to the technical field of mental state regulation. The system comprises an EEG collecting and processing module and an electrical stimulation module which are in wireless communication to form a closed loop. The EEG collecting and processing module collects a forehead lobe three-lead EEG signal, after preprocessing (baseline drift and high-frequency interference are removed through FIR filtering, and eye movement artifacts are removed through combination of wavelet transform and Kalman filtering), the mental fatigue state is classified through an onboard lightweight convolutional neural network (CNN) algorithm, and a control command is generated; the electrical stimulation module receives the command, generates bipolar pulse width modulation transcranial direct current stimulation (tPWMDCs) current, and stimulates the prefrontal lobe. Local low-power-consumption reasoning of EEG signals is achieved, tPWMDCs avoid skin injury, a closed-loop system dynamically adapts to individual differences, portability, safety and accuracy are achieved, and the system is suitable for driving, office and other scenes.

The invention relates to the technical field of transcranial direct current stimulation, and particularly discloses a transcranial direct current stimulation intervention system which analyzes a brain structure network and a brain function network marked as effective before and after treatment by using a data processing and image analysis algorithm based on a machine learning and artificial intelligence technology. According to the method, brain structure-function network features before treatment are captured, and brain network state features of a new individual are reflected by performing feature extraction and splicing on a brain structure network and a brain function network of the new individual when brain positive reaction possibility identification and potential effectiveness detection are actually performed on the new individual. And taking the brain network state features of the new individual as an index to query feature information with similar response from a brain network state database with effective intervention, so as to identify the possibility of positive reaction of the brain of the new individual, thereby predicting whether the classical tDcs intervention normal form is effective to a patient object to be evaluated or not.

A headset for transcranial brain stimulation including: a forehead frame defining an elongated arch; a first electrode arranged at a first end portion of the forehead frame; a second electrode arranged at a second end portion of the forehead frame; a bracket arranged at a center portion of the forehead frame; and a circuit comprising the first and second electrodes and configured to be powered according to a schedule for performing the transcranial brain stimulation.

A headset for transcranial brain stimulation including: a forehead frame defining an elongated arch; a first electrode arranged at a first end portion of the forehead frame; a second electrode arranged at a second end portion of the forehead frame; a bracket arranged at a center portion of the forehead frame; and a circuit comprising the first and second electrodes and configured to be powered according to a schedule for performing the transcranial brain stimulation.

The invention relates to the technical field of artificial intelligence and big data, and discloses a learning disorder assessment and adaptive training system and method based on multi-dimensional behaviors, and the system comprises a multi-modal assessment module, a path generation module, a nerve regulation and control module and an adaptive engine module. By fusing multi-modal data features of language behaviors, electroneurographic signals and task response behaviors and combining a cross-modal attention mechanism to dynamically construct a cognitive state recognition model, learning disorder typing accuracy is improved, multi-dimensional ability defects such as attention, memory, language understanding and execution control are quantified based on a three-dimensional cognitive map, and learning disorder typing accuracy is improved. It is ensured that the assessment result comprehensively covers the core dimension of cognitive impairment; transcranial direct current stimulation is synchronously triggered in the cognitive task starting stage, space-time precise matching of task state nerve regulation and brain region activation is achieved, stimulation target point coordinates and current intensity are dynamically adjusted according to real-time nerve feedback, and the neuroplasticity reconstruction efficiency is improved.

The invention discloses a wearable electrode slice and a transcranial direct current stimulator thereof, and belongs to the technical field of transcranial direct current stimulators, the wearable electrode slice comprises an elastic band and a clamping assembly, the clamping assembly comprises a fixing frame and an insertion block, and the fixing frame and the insertion block are fixedly connected to the two ends of the elastic band respectively; the electrode plate body is mounted on the inner side surface of the fixed frame; when the inserting blocks are inserted into the fixing frames, the inserting blocks and the fixing frames are mutually inserted, the elastic bands are connected end to end, meanwhile, the inserting blocks have abutting force enabling the electrode plate bodies to abut against the human body, the electrode plate bodies can be always kept to be attached to the human body in the wearing process, and the electrode plates are prevented from falling off.

The invention discloses an integrated multi-mode transcranial electrical stimulation and high-intensity deep brain stimulation device, and belongs to the field of neuromedical treatment, in the device, a main control module is used for receiving data sent by a serial port display screen communication module and processing and analyzing the data, and then a signal source module is driven to output a target signal; the signal source module selectively outputs a transcranial alternating current stimulation waveform, a time intervention electrical stimulation waveform, a high-current phase modulation time intervention electrical stimulation waveform, a transcranial pulse electrical stimulation waveform and a transcranial direct current stimulation waveform based on a plurality of waveform generators and digital potentiometers; and the signal amplification and constant current output module is used for amplifying the waveform voltage signal output by the signal source module, converting the waveform voltage signal into a constant current signal and outputting the constant current signal to the output module. According to the invention, the electric field intensity generated by the stimulation current at the deep brain target spot is improved, so that the deep brain region is effectively stimulated, and a more remarkable stimulation intervention effect is achieved.

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

The invention relates to the technical field of medical artificial intelligence, and discloses an online game barrier recognition, prediction and intervention effect evaluation method and system based on electroencephalogram characteristics and a machine learning model, and the method comprises the steps: building an online game barrier recognition model through obtaining electroencephalogram data of a target group in a resting state and a game clue reaction task; an objective judgment basis is provided, and the limitation of a traditional subjective scale is overcome; an online game craving degree prediction model is constructed by obtaining electroencephalogram data of an addict under a task and craving score data after the task, the craving degree is predicted in real time, and personalized intervention is supported; an online game addiction intervention effect evaluation model is constructed by obtaining electroencephalogram data and desire score data of addicts before and after transcranial direct current stimulation intervention, the intervention effect is quantified, and the durability of the intervention effect is evaluated. According to the method, a whole-process closed loop from identification, prediction to evaluation can be realized, the judgment objectivity, the prediction accuracy and the intervention pertinence are remarkably improved, and the method has important scientific value and application prospect.

The invention relates to the technical field of neurological rehabilitation, in particular to a transcranial direct current closed-loop regulation and control method based on near-infrared brain oxygen real-time feedback, which comprises the following steps: collecting brain oxygen baseline signals of each region of the whole brain, calculating the mean value and the standard deviation of each brain region, and establishing a whole brain blood oxygen regulation and control threshold matrix of sub-regions and sub-parameters; dynamically adjusting the core target brain region, and adjusting the sampling frequency and the single detection duration according to the fluctuation frequency of the oxyhemoglobin concentration of the core target brain region; according to the signal fluctuation frequency, continuously adapting the detection parameters, and combining the comparison result of the core characteristic parameters and the whole brain blood oxygen regulation threshold matrix, optimizing the transcranial direct current regulation parameters, and outputting optimized data; by means of the mode, dynamic adaptation of the detection parameters and the signal fluctuation characteristics is carried out, and regulation and control collaboration is improved.

The invention relates to an electromagnetic synchronous stimulation control device and method, equipment, a medium and a program product, and the device comprises a target spot information generation module which is used for generating target spot position information; the stimulation parameter configuration module is used for generating a combined stimulation scheme data packet based on the stimulation parameter template and the target position information; the synchronous control instruction generation module is used for analyzing the combined stimulation scheme data packet and generating a first time sequence control signal and a second time sequence control signal; and the stimulation execution and feedback module is used for driving the transcranial direct current stimulation unit and the repeated transcranial magnetic stimulation unit to synchronously apply physical stimulation to the target spot position through the first time sequence control signal and the second time sequence control signal, collecting an electroencephalogram signal of the target object in real time and generating a stimulation execution log. Electromagnetic synchronous stimulation is applied to the same target spot at the same time, and the physiological addition and synergistic effect of an electric field and a magnetic field are utilized, so that the effect on reducing the epileptic seizure frequency and electroencephalogram epilepsy-like discharge is remarkable.

The invention discloses a research method for influence on a post-TBI impulse behavior, and relates to the technical field of traumatic brain injury treatment. The method comprises the following steps: S1, preparing experimental animals, instruments and equipment, reagents and solutions, and grouping the experimental animals; s2, establishing a mouse TBI model by adopting a controllable cortex attack (CCI) mode, and judging the injury severity of the mouse TBI model through nerve function defect scoring (NSS); according to the method, by adopting an immune western blot method, immunofluorescent staining and real-time fluorescent quantitative PCR, the change of lipid droplet metabolism and neuronal functions after TBI can be deeply analyzed from protein and gene levels, multi-level data support is provided, transcranial direct current stimulation and adenosine A2a receptor regulation are used as intervention means, and the method has the advantages that the method is simple and convenient to operate, and the application prospect is wide. The improvement effect of the tDCS on the impulse behavior after the TBI is explored, and particularly, a mechanism that the tDCS regulates A2AR and Plin2 to inhibit lipid droplet accumulation provides a new thought for TBI treatment.

The invention discloses a nerve and blood vessel coupling model personalized real-time regulation and control method and device based on transcranial direct current stimulation response. According to the device, finite element simulation modeling and large-scale dynamic average field model building are carried out by obtaining multi-modal data (such as T1w, DWI and rs-fMRI) of a patient, and electric field distribution and neuron group activity of tDCS in the brain are simulated. In combination with nerve and blood vessel coupling characteristics, an individualized tDCS real-time regulation and control model is constructed, and stimulation parameters such as current intensity, electrode position and stimulation duration are dynamically adjusted. In the regulation and control process, neural activity and cerebral blood flow changes are monitored in real time, and the stimulation effect is optimized through a closed-loop feedback mechanism. The problems of individual difference, inaccurate real-time feedback and complicated equipment in the existing tDCS regulation and control are solved, the dependence on high-end equipment is reduced, the operation process is simplified, the accuracy and effectiveness of a personalized regulation and control scheme are improved, and the method is suitable for wide application in a clinical environment.

The invention discloses a wearable transcranial direct current stimulation rehabilitation head cap, and particularly relates to the technical field of medical instruments, the wearable transcranial direct current stimulation rehabilitation head cap comprises a rehabilitation head cap, a fixing structure is arranged at the bottom of the outer wall of the rehabilitation head cap, and filtering structures are arranged on the left and right sides of the middle position of the outer wall of the rehabilitation head cap; self-adaptive structures are arranged on the left side and the right side of the top of the outer wall of the rehabilitation head cap, and a temperature and humidity sensor is arranged in the rehabilitation head cap. According to the wearable transcranial direct current stimulation rehabilitation head cap, the fixing structure and the self-adaptive structure are arranged, so that the problem that the rehabilitation head cap is unstable to wear can be effectively solved, the accuracy of the electrode position is ensured, flexible adjustment can be performed according to the head shape of a user, air circulation can be promoted by arranging the filtering structure, and the rehabilitation effect is improved. By means of the structure, the proper temperature can be provided in the cold environment, the user experience is further optimized, stable locking can be achieved, looseness caused by external vibration or movement is prevented, and the reliability of the overall structure is enhanced.

The invention relates to a magnetic resonance imaging system comprising a device with a coil (7) with which a homogeneous magnetic field can be generated, a device with a coil (9) with which a high-frequency alternating magnetic field can be generated, with at least one antenna (1, 1a, 1b) for receiving an MR response signal, with an evaluation device which is set up in such a way that it can evaluate an MR response signal, with two electrodes (1, 1a, 1b, 13) and a control unit (4) which are set up in such a way that transcranial direct current stimulation can be carried out. The invention also relates to a method using such a magnetic resonance imaging system, wherein transcranial direct current stimulation (tDCS) and MRI or MRS are performed simultaneously. It can be used with a single modality. The invention therefore relates to an integrated multi-channel TDCS MRI system.

The invention discloses a collaborative intervention control method based on binaural frequency and transcranial direct current, and the method comprises the steps: controlling a preset intervention stimulation electrode to carry out micro-electrical stimulation when transcranial direct current stimulation equipment works; obtaining a binaural frequency, determining a frequency difference value based on the binaural frequency, and determining whether the frequency difference value accords with a preset target frequency range; and if the frequency difference value accords with the target frequency range, performing cooperative intervention based on the frequency difference value and the micro current output by the intervention stimulation electrode. According to the invention, intervention stimulation can be carried out on the user in an acoustic-electric cooperative intervention mode, so that a specific wave band is influenced, and the intervention effect of the transcranial direct current stimulation equipment is improved.

The application discloses a deep learning-based electroencephalogram slow wave real-time feedback transcranial electrical stimulation method and system, relates to the cross technical field of neural regulation and deep learning, and comprises the following steps: collecting electroencephalogram signals of a target object and pre-processing the electroencephalogram signals to obtain pre-processed electroencephalogram signals; inputting the pre-processed electroencephalogram signals into a pre-constructed deep learning model for analysis to obtain a latent representation representing the dynamic state of electroencephalogram slow waves; wherein the deep learning model is obtained through the collaborative training of three types of self-supervised targets, namely self-predictive representation, unsupervised target conditional reinforcement learning and inverse dynamics modeling; transcranial electrical stimulation parameters are decided based on the latent representation, wherein the stimulation parameters at least include a stimulation type, a stimulation intensity and a stimulation frequency; and corresponding transcranial direct current stimulation or transcranial alternating current stimulation is output to specific brain regions of the target object according to the transcranial electrical stimulation parameters.

The application discloses a kind of cognitive evaluation training method and system based on cortical network compensation mechanism.The method comprises the following steps: S1: the cognitive evaluation of patient is carried out, while detecting the brain electrical signal of patient;S2: by the first data processing module, the cognitive evaluation data and brain electrical signal of step S1 are received and carried out real-time processing and fusion calculation;S3: according to the comprehensive ability level value of each brain network and the overall cognitive function level value output by step S2, cognitive training scheme is given;S4: in the process of implementing cognitive training scheme, by transcranial direct current stimulation module, synchronous electric stimulation is carried out.The application realizes the targeted evaluation of whole brain network by combining cognitive evaluation and EEG monitoring, so as to accurately locate damaged brain network;Further, the method of cognitive training combined with EEG and transcranial direct current stimulation is used, the effective complement of cognitive training and transcranial direct current stimulation is realized, and the purpose of enhancing training effect is achieved.

The invention discloses a transcranial direct current stimulation data analysis method based on electroencephalogram signal processing. The method comprises the following steps of electroencephalogram signal collection, signal transmission and conversion, signal processing, feature selection, model training and prediction, transcranial direct current stimulation parameter adjustment, real-time monitoring and feedback and data analysis and evaluation. According to the method, continuous signal and discrete signal classification, imaging, image filtering and feature extraction are performed on the electroencephalogram signals by using the CNN, so that the signal processing efficiency and accuracy are remarkably improved. In the feature selection stage, feature importance evaluation based on a tree model is adopted, and a feature subset which has the most influence on subsequent prediction can be quickly screened out, so that the data dimension is reduced, the over-fitting risk is reduced, and the generalization ability of the model is improved.

The present invention relates to a non-invasive stimulation device and method, the device comprising: a helmet in which a plurality of electrodes each including a patch configured to come into close contact with the head of a subject are disposed; at least one sensor module for sensing biometric information of a subject wearing the helmet; and a control unit for applying a direct current stimulation signal to at least one selected electrode in a transcranial direct current stimulation (tDCS) step, providing an alternating current stimulation signal to at least one selected electrode in a transcranial alternating current stimulation (tACS) step, and automatically switching from the tDCS step to the tACS step when an abnormal state in which a resistance value of the electrode exceeds a reference value or the biometric information exceeds a normal range is detected.

A headset for transcranial brain stimulation including: a forehead frame defining an elongated arch; a first electrode arranged at a first end portion of the forehead frame; a second electrode arranged at a second end portion of the forehead frame; a bracket arranged at a center portion of the forehead frame; and a circuit comprising the first and second electrodes and configured to be powered according to a schedule for performing the transcranial brain stimulation.

1. Name of the product in this design: Transcranial Direct Current Stimulation Therapy Device (TDCS). 2. Purpose of this design: For adjunctive treatment of mental illness and neurological rehabilitation. 3. The key design feature of this product is its shape. 4. Images or photos that best illustrate the design key points: Use a combination of state diagrams.

A headset for transcranial brain stimulation including: a forehead frame defining an elongated arch; a first electrode arranged at a first end portion of the forehead frame; a second electrode arranged at a second end portion of the forehead frame; a bracket arranged at a center portion of the forehead frame; and a circuit comprising the first and second electrodes and configured to be powered according to a schedule for performing the transcranial brain stimulation.

The invention provides a transcranial direct current stimulation electrode positioning method based on artificial intelligence image recognition and application. In order to solve the technical problem that it is difficult for a user to autonomously and accurately place tDCS electrodes in a family environment, the method comprises the steps that real-time face image data of the user is obtained through a camera of intelligent equipment; using an artificial intelligence model to identify and output coordinates of a plurality of key points of the face; calculating the target position of the electrode on the head through an algorithm based on the geometrical relationship of the key points; and generating a visual mark on a display interface, and guiding a user to adjust the electrode to the target position in real time. The method can also comprise the steps of performing electrode attachment detection through a sub-electrode, and performing dual positioning verification by using an Apri lTag two-dimensional code. According to the method, a user can conveniently and quickly complete high-precision electrode positioning, and the usability, the treatment accuracy and the safety of tDCS equipment in a family scene are remarkably improved.

Embodiments may provide the capability to provide Transcranial Photobiomodulation (tPBM), Transcranial Direct Current Stimulation (tDCS), and Transcranial Alternating Current Stimulation (tACS) with dynamic closed loop feedback, such as may be provided by an Electro Encephalogram (EEG), as well as local and network-based processing to analyze and generate such signals. For example, in an embodiment, a device may comprise apparatus configured to apply Transcranial Photobiomodulation (tPBM) to a person, apparatus configured to apply Transcranial Direct Current Stimulation (tDCS) to the person, apparatus configured to obtain Electro Encephalogram (EEG) signals from the person, and apparatus configured to perform dynamic closed loop feedback of the tPBM and the tDCS based on the obtained EEG signals.

The application discloses a wearable electrode sheet and a transcranial direct current stimulation instrument thereof, and belongs to the technical field of the transcranial direct current stimulation instrument, which comprises an elastic band and a clamping assembly, the clamping assembly comprises a fixed frame and an insertion block, and the fixed frame and the insertion block are fixedly connected at two ends of the elastic band respectively; an electrode sheet body is installed on the inner side surface of the fixed frame; wherein when the insertion block is inserted into the fixed frame, the insertion block and the fixed frame are mutually inserted, the elastic band is connected end to end, and meanwhile, the insertion block has a pressing force for pressing the electrode sheet body against the human body, the application can always keep the electrode sheet body and the human body mutually adhered during wearing, and electrode sheet falling is avoided.

The invention discloses a head-mounted therapeutic apparatus for treating tinnitus through transcranial direct current stimulation and sound, which comprises an annular head band, and the two ends of the annular head band are connected through a first buckle structure; the inner side of the annular head band is connected with a longitudinal head band through a second buckle structure; the therapeutic apparatus further comprises electrode modules which are respectively arranged on the annular head band and the longitudinal head band. The sound modules are arranged on the two sides of the annular head band respectively; the control module is respectively connected with the electrode module and the sound module through lines; and the power supply module is arranged on the annular head band. By synchronously applying electrical stimulation and sound treatment, the tinnitus treatment effect is improved, the operation is simple and convenient, and the wearing adaptability is high.