20 results about "Transcranial Electrical Stimulations" patented technology

This utility model discloses a transcranial electrical stimulation (TCS) device for children's language training, comprising a housing and a control component disposed within the housing. A stimulation electrode interface is disposed on the right side of the housing, fixedly connected to the housing and electrically connected to the control component. A mode selection button, electrically connected to the control component, is provided on the housing to switch between different TCS modes. The TCS device for children's language training provided in this application allows switching between different TCS modes via the mode selection button, enabling selection of different TCS modes to meet the safety and precise control requirements of children's language training.

The application discloses a transcranial electrical stimulation target parameter optimization method, system, device and computer readable storage medium, and belongs to the technical field of neural regulation and medical auxiliary equipment. The optimization method comprises the following steps: S1, acquiring a head medical image, and constructing a head finite element simulation model based on the medical image; S2, in the head finite element simulation model, defining a target stimulation brain area as a ventromedial prefrontal cortex area; S3, simulating transcranial electrical stimulation in the finite element simulation model, and through simulation calculation, taking the concentration of current density in the ventromedial prefrontal cortex area as an optimization target, and determining at least one transcranial electrical stimulation parameter; wherein the transcranial electrical stimulation parameter comprises an electrode position and / or an electrical stimulation waveform parameter. The optimization method changes the parameter selection from experience dependence to scientific calculation based on a biophysical model, improves the accuracy of the stimulation parameter, and thus realizes precise brain area targeted stimulation.

The application relates to a transcranial electrical stimulation control method and a transcranial electrical stimulation system for visual function, which comprises the following steps: acquiring an initial position of a stimulation target point and an initial stimulation parameter; adjusting the initial position of the stimulation target point based on a first electroencephalogram signal collected when a user performs a visual function adjustment task to obtain a target position; controlling an electrode assembly to be placed at the target position and controlling the electrode assembly to discharge based on the initial stimulation parameter; acquiring real-time state data of the user during the discharging process; and adjusting the initial stimulation parameter based on the real-time state data to change the discharging state of the electrode assembly, thereby solving the problem of insufficient optimization effect of stimulation control, fusing multi-modal data, adaptively adjusting the stimulation target point and the stimulation parameter, realizing a personalized dynamic stimulation scheme in a visual function remodeling scene, and greatly improving the optimization effect of stimulation control.

This invention provides a method for fabricating a metal electrode for signal acquisition and / or transcranial electrical stimulation. The method produces a non-polar metal electrode with a titanium substrate, a platinum layer, and a silver chloride layer arranged sequentially from inner to outer layers. The good machinability of titanium allows the electrode to be easily fabricated into various shapes, making it suitable for diverse applications. The high conductivity of platinum allows for the fabrication of a high-performance, integrated electrode that performs well as both a cathode and anode, accommodating switching between two operating modes. Platinum achieves a conductivity of 75 A / dm². 2 The loss rate at current density is extremely low, so when this metal electrode is applied to transcranial electrical stimulation, it is also corrosion resistant and has a long service life. The material properties of platinum can be utilized to easily form a silver chloride layer on its outer layer, resulting in a non-polarized electrode. The platinum layer is very thin, which allows the electrode to maintain low cost and is suitable for large-scale application in various fields.

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 multi-brain region electrode optimization method for transcranial electrical stimulation, which comprises the following steps: firstly, constructing a head simulation model, solving the electric field transfer matrix of each electrode by using a finite element method, then selecting a target region which needs to be optimized and one or more target points of brain regions which need to be inhibited, optimizing the electric field of the target region, inhibiting the electric field intensity of the specific brain region near the target region, and restraining the number of electrodes used, the current size of a single electrode and the total electrode current, and finally evaluating the optimization effect by simulating and calculating the electric field intensity of the stimulated brain region and the inhibited brain region. The electrode optimization method can inhibit the electric field intensity of one or more specific brain regions near the target brain region while applying the electric field to the target brain region. Compared with the past stimulation of a brain region, the electrode optimization method can meet the personalized and accurate demand and avoid the unpredictable influence caused by the activation of some brain regions near the target brain region.

The application discloses a transcranial electrical stimulation system, device and equipment based on electroencephalogram characteristics, and the system comprises an electroencephalogram acquisition module, an electroencephalogram analysis module, a platform central control module and a transcranial electrical stimulation execution module. The electroencephalogram acquisition module is used to acquire the electroencephalogram signal of a preset brain area of a target object under the stimulation of a preset transcranial electrical stimulation scheme, then the electroencephalogram analysis module is used to perform frequency spectrum analysis based on the electroencephalogram signal, to obtain electroencephalogram signal frequency spectrum data, and the platform central control module is used to judge whether the electroencephalogram signal reaches an expected electroencephalogram state based on the electroencephalogram signal frequency spectrum data; if not, the target transcranial electrical stimulation scheme is determined based on the electroencephalogram signal frequency spectrum data and the expected electroencephalogram state; finally, the transcranial electrical stimulation execution module is used to perform transcranial electrical stimulation on the preset brain area according to the target transcranial electrical stimulation scheme, so that the electroencephalogram signal reaches the expected electroencephalogram state. The application improves the accuracy of transcranial electrical stimulation.

A method for achieving super-resolution in localizing electrical fields measured at the head surface with electroencephalography through a generative model of the cerebral cortex that has a very high resolution of cortical surface dipoles constructed from the known properties of human cerebral cortex and adapted to optimize the Bayesian explanation the individual's cortical surface electrical fields. The iterative optimization of the prior (generative) with the posterior (observed) fields with extensive data from extended recordings provides a probabilistic estimation of the individual's functional brain activity that can be used to train artificial neural network approximations of the individual's mental activity.

Disclosed herein is a system and method for performing floating transcranial electrical stimulation in which one or more free-floating insulated wires or bundles of wires are surgically implanted in the brain. The wires have exposed electrodes at both ends and are coupled with an electrode array applied to an external surface of the skull. The single wire or a bundle of wires acts to relay an electric field generated by the electrode array to a target area deep in the brain, thereby realizing the benefits of conventional deep brain stimulation without the inherent risk of infection associated therewith.

This invention provides a high-precision neurostimulation device and its control method. The device includes: stimulation modules connected to stimulation electrodes for applying electrical stimulation signals to the cerebral cortex; an interaction module for receiving user commands to enable user interaction; a main control module for receiving commands from the interaction module and driving the stimulation modules to output electrical stimulation signals; and a stimulation module for outputting high-precision electrical stimulation signals to each stimulation electrode, and through a preset channel control module, combining the stimulation electrodes in three configurations—cathode, anode, and electrode suspension—to form an M×N high-precision electrical stimulation. Based on traditional transcranial electrical stimulation technology, this invention improves the stimulation circuitry, making the channel states flexibly adjustable, achieving flexible and high-precision electrical stimulation with more pronounced stimulation effects and more precise stimulation sites. The high-precision electrodes can be combined in various ways, possessing strong scalability and meeting the needs of complex application scenarios.

This invention relates to the interdisciplinary fields of biomedical engineering, artificial intelligence, and neuromodulation, and provides a cognitive fatigue assessment and electrical stimulation intervention system based on a combined EEG-behavioral AI model. The system includes: a data acquisition and preprocessing module for simultaneously acquiring and preprocessing the user's EEG signals and behavioral data; a real-time fatigue assessment module for extracting and fusing features from the preprocessed EEG signals and behavioral data using the combined AI model, outputting the user's real-time fatigue assessment results; the combined AI model is constructed based on the Transduction Information Maximization (TIM) algorithm to achieve cognitive fatigue assessment in scenarios with few samples; and a closed-loop electrical stimulation intervention module for dynamically adjusting transcranial electrical stimulation parameters and performing targeted intervention based on the real-time fatigue assessment results. This invention achieves real-time, accurate detection and personalized targeted intervention of cognitive fatigue states through multimodal data fusion and closed-loop intervention.

The present application relates to the technical field of medical devices and neuromodulation, and discloses an anxiety disorder transcranial electrical stimulation intervention system and method based on functional magnetic resonance, which comprises: a brain function image analysis module, which is used for acquiring functional magnetic resonance imaging data of a subject when performing a threatening stimulus attention bias task, extracting BOLD time series of the dorsolateral prefrontal cortex and the amygdala, calculating effective connection strength values from the dorsolateral prefrontal cortex to the amygdala, functional connection values between the dorsolateral prefrontal cortex and the amygdala, recording behavioral response time indicators of the subject to the threatening stimulus, and generating an individualized stimulation scheme according to the above three indicators through a dynamic grading control algorithm; a transcranial direct current stimulation intervention module, which applies electrical stimulation to the target brain area according to the individualized stimulation scheme; and a central control and data processing module, which is connected with the above two modules respectively and is used for coordinating the work flow. The present application improves the accuracy and individualization level of intervention.

Systems, methods, and computer-readable storage media for transcranial electrical stimulation, and more particularly to systems, methods and software for personalized transcranial electrical stimulation using electroencephalographic features. A system can include an electroencephalography (EEG) system, a feature extraction module, an electrical stimulation target module, and an electrical stimulation system. The EEG system can include sensor electrodes to be attached to a subject's scalp and which provide electrical signals. The electrical signals are processed by the feature extraction module, resulting in corresponding electrical signals for a first period of time and features therefrom. The electrical stimulation target designation module can use those to determine stimulation parameters which result in electrical stimulations provided via the electrodes to the subject's scalp.

This invention relates to the fields of medical devices and neuromodulation technology, and discloses a transcranial electrical stimulation intervention system and method for anxiety disorders based on functional magnetic resonance imaging (fMRI). The system includes: a brain functional imaging analysis module, used to acquire fMRI data of subjects performing a task involving attentional bias towards threatening stimuli, extracting BOLD time series of the dorsolateral prefrontal cortex and amygdala, calculating the effective connectivity strength value from the dorsolateral prefrontal cortex to the amygdala, the functional connectivity value between the dorsolateral prefrontal cortex and the amygdala, recording the subject's behavioral response time index to threatening stimuli, and generating an individualized stimulation plan based on the above three indicators using a dynamic hierarchical control algorithm; a transcranial direct current stimulation intervention module, which applies electrical stimulation to the target brain region according to the individualized stimulation plan; and a central control and data processing module, connected to the first two modules respectively, for coordinating the workflow. This invention improves the accuracy and individualization of intervention.

Provided are methods for treating depression and depression-related conditions by combining administration of pharmacologic agents and neuromodulation induced by transcranial electrical stimulation.

The application provides a multi-frequency time-domain interference stimulation simulation optimization method and device, which comprises the following steps: constructing a corresponding Gaussian function according to the time-domain interference stimulation parameters for a target clinical user and obtaining the Fourier series of each channel of a transcranial electrical stimulation instrument; generating a brain model based on brain T1-weighted imaging data and setting corresponding target point position information to optimize the target point electric field direction in any direction; determining the effective electrode arrangement area of each axial section of the brain model and arranging electrodes; optimizing the electrodes arranged in each axial section to determine each grid of the brain model and the time-domain interference stimulation electric field intensity amplitude, and optimizing the input current of each channel. The application can realize multi-frequency stimulation simulation optimization for each channel of the transcranial electrical stimulation instrument, can improve the focusing of the time-domain interference stimulation, can reduce the calculation complexity of the time-domain interference stimulation parameter configuration, and can effectively and quickly realize personalized time-domain interference stimulation simulation combined with clinical data.

The invention discloses a noise signal generation method and device for transcranial electrical stimulation and a storage medium, and is applied to a control module in a transcranial electrical stimulation system.The method comprises the steps that a target prescription corresponding to a target object is obtained; determining a target filter corresponding to the target prescription; starting a timing function of a preset timer at the starting moment of executing the target prescription; in the timing process of the preset timer, generating a first random signal; inputting the first random signal into a target filter to obtain a second random signal; determining a first current signal according to the target prescription and the second random signal; the first current signal is a digital signal; performing digital-to-analog conversion on the first current signal to obtain a second current signal; the second current signal is a noise signal for transcranial electrical stimulation. According to the embodiment of the invention, the adaptability of the generated noise signal is improved.

1. Name of the product in this design: Transcranial Electrical Stimulator (HD-I). 2. Purpose of this design: To be used as a medical device for the physiotherapy and rehabilitation of the human body. 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.