424 results about "Magnetic brain stimulation" patented technology

A system includes a magnetic stimulation coil; and a machine vision navigation device comprising a camera configured to capture successive still images and / or to stream video indicating position of the magnetic stimulation coil. The machine vision navigation device is configured to determine, based on the successive still images and / or the video, the position of the magnetic stimulation coil relative to a target treatment area of a patient, and cause, based on the position of the magnetic stimulation coil relative to the target treatment area of the patient, display of an indication of the position of the magnetic stimulation coil relative to the target treatment area of the patient.

Aspects of transcranial magnetic stimulation (TMS) devices are described. In one example, the TMS device includes a magnetic flux shutter that includes a multi-turn coil and a magnetic film. The magnetic film extends in a loop to encircle a region, and the multi-turn coil is continuously wound around the magnetic film. The TMS device also includes a magnet that is positioned in the region within a boundary of the magnetic film, with the magnet generating a magnetic flux. The TMS device also includes a current source coupled to the multi-turn coil. The current source is configured to deliver a current to the multi-turn coil, to vary a permeability of the magnetic film and a density of the magnetic flux extending outside the region of the magnetic flux shutter during operation.

A coil configuration and method for transcranial magnetic stimulation enabling stimulation of deep regions of the brain without excessively stimulating the cortex is provided. The coil configuration utilizes at least one coil to produce an off-plane magnetic field to enhance the magnetic field from a top TMS coil. In one configuration at least a single variable position coil referred to as the Variable Halo Coil and positionable vertically and / or angularly is used.

A system for administering transcranial magnetic stimulation in which two or more coils are applied to the patient's body. The coils each may emit a magnetic field which when positioned in one or more configurations result in field overlapping. Magnetic field overlap achieves therapeutic effects otherwise difficult, or impossible, to achieve from traditional single coil TMS devices.

A method, system, and apparatus for a head guide support system for use in measuring a transcranial magnetic stimulation (TMS) treatment coil on a patient's head are described herein. The coil positioning apparatus, also called a coil positioning device or a coil angle guide, may include a support structure supported by the patient's head; a first instrument configured to indicate a position angle for placement of the TMS coil; a second instrument configured to indicate a distance from the support structure for placement of the TMS coil; and / or a third instrument configured to indicate an orientation angle for rotation of the TMS coil.

The present invention provides, in part, methods of treatment for substance use disorder comprising applying repetitive transcranial magnetic stimulation (rTMS) therapy to a patient in need thereof. The present invention also provides devices that generate a low intensity pulsed magnetic field and variable frequencies.

A driving method of a transcranial magnetic stimulation 3D coil device is disclosed, which includes: determining first and second signal peaks corresponding to a specified rotating magnetic field direction, in which the first and second signal peaks respectively correspond to first and second coils in multiple coils; providing a first pulse current having the first signal peak to the first coil, in which the first pulse current signal stimulates the first coil to provide a first magnetic field; providing a second pulse current signal having a second signal peak to the second coil, in which the second pulse current signal stimulates the second coil to provide a second magnetic field, in which the first magnetic field and the second magnetic field form a rotating magnetic field having the specified rotating magnetic field direction.

The delivery of neurostimulation to a subject using a closed-loop neurostimulation device (e.g., using a brain stimulation device to provide neurostimulation to a subject's brain) is controlled based on a global optimization-based temporal prediction framework. As a result, the brain stimulation device (e.g., a transcranial magnetic stimulation (“TMS”) device) is synchronized with the ongoing neural state (e.g., brain state) in real time. For instance, a brain recording is analyzed to extract the brain process of interest (e.g., frequency of brain oscillations) and used train a prediction algorithm. After that, a stimulation stage is implemented, in which the individual brain state is analyzed in real-time, the occurrence of the biomarkers (e.g., brain oscillation phase) is predicted, and the stimulation is triggered at the expected time.

The invention provides a closed-loop nerve regulation method and device, a medium and a program product, and relates to the technical field of nerve regulation. The method comprises the steps that an electroencephalogram collection module collects electroencephalogram signals in real time and provides real-time feedback data for nerve regulation and control; the magnetic resonance imaging module provides high-precision brain structure and function positioning information; the three different stimulation modules (transcranial alternating current stimulation, low-field magnetic field stimulation and transcranial magnetic stimulation) can stimulate brain regions with different depths and ranges; the multi-mode navigation module carries out accurate positioning based on the magnetic resonance image; the electroencephalogram detection module analyzes the collected signals; and the central control module coordinates the work of each module. According to the multi-module cooperative working mode, accurate stimulation of different areas and different depths of the brain is achieved, meanwhile, the stimulation effect is ensured through real-time monitoring, and therefore the accuracy and effectiveness of nerve regulation and control are improved.

The invention discloses a transcranial magnetic stimulation treatment individualized parameter optimization system based on artificial intelligence, and relates to the technical field of transcranial magnetic stimulation optimization systems. The transcranial magnetic stimulation treatment individualized parameter optimization system based on artificial intelligence comprises a data acquisition preprocessing module, a feature extraction module, a treatment parameter prediction module and a treatment effect evaluation module, and the data acquisition module is used for acquiring brain function data of a patient in real time; the feature extraction module is used for performing feature extraction on the preprocessed brain function data and clinical data; the treatment parameter prediction module is used for determining a treatment scheme suitable for the current condition of the patient according to the transcranial magnetic stimulation treatment parameter prediction result; the treatment effect evaluation module is used for continuously monitoring brain function data of the patient in the treatment process. The problems that in traditional transcranial magnetic stimulation treatment, parameter setting depends on experience and a general guide, individualized optimization and parameter adjustment are lacked, and consequently the treatment effect is inaccurate and the treatment time is long are solved.

The invention provides a transcranial stimulation magnetic therapy closed-loop control method and system, and the method comprises the steps: determining a multi-modal physiological signal of a user, the multi-modal physiological signal at least comprising an electroencephalogram signal, an autonomic nerve physiological signal and a subjective feedback signal; constructing an individual dynamic baseline spectrum based on user multi-state data collected before treatment; the method comprises the following steps: preprocessing a multi-modal physiological signal collected in a treatment process, and extracting a real-time feature vector; calculating a comprehensive deviation index of the real-time feature vector and the individual dynamic baseline spectrum, and determining a deviation type based on the comprehensive deviation index; the adjustment amount of transcranial magnetic stimulation parameters is dynamically calculated according to the deviation type, the individual response characteristics and the historical treatment data, stimulation operation is conducted according to the adjustment amount of the transcranial magnetic stimulation parameters, and the transcranial magnetic stimulation parameters at least comprise the stimulation frequency, the intensity, the pulse width and the stimulation duration. Parameters of transcranial magnetic stimulation are adaptively changed according to changes of neuron oscillation of a patient in the treatment process.

The invention discloses an early judgment system for cognitive impairment of Parkinson's disease based on transcranial magnetic-electroencephalogram multi-dimensional features. The early judgment system comprises a transcranial magnetic-electroencephalogram combined acquisition module, a synchronous signal preprocessing module, a multi-dimensional feature extraction module, a feature intelligent fusion module and a storage and display module, the transcranial magnetic-electroencephalogram combined acquisition module is used for disturbing the neural activity of a patient through monopulse transcranial magnetic stimulation coding and acquiring an evoked state electroencephalogram signal; the synchronizing signal preprocessing module is used for denoising and filtering the evoked state electroencephalogram signals; a multi-dimensional feature extraction module performs feature extraction on the processed evoked state electroencephalogram signals by utilizing multi-dimensional electroencephalogram feature analysis to obtain multi-parameter electroencephalogram neural activity features; the feature intelligent fusion module is used for carrying out weight distribution and feature fusion on the multi-parameter electroencephalogram neural activity features to obtain cognitive disorder multi-modal neural indexes; and the storage and display module is used for storing the cognitive disorder multi-modal nerve indexes and visualizing the cognitive disorder multi-modal nerve indexes.

The invention relates to a transcranial magnetic stimulation high-precision positioning method, device and equipment based on optical navigation. Comprising the steps of selecting non-coplanar reference points based on a three-dimensional brain model of a patient, obtaining image coordinates and physical coordinates of all the reference points, carrying out corresponding point matching through the image coordinates and the physical coordinates, calculating and generating an optimal rigid transformation matrix, carrying out target registration error calculation, and realizing registration of an image coordinate system and a physical coordinate system. And according to the registered brain tissue conductivity parameters, calculating electric field space distribution induced by the transcranial magnetic stimulation coil in a target brain area, dynamically correcting stimulation target point coordinates of the virtual coil, and according to a completed coordinate system registration result, dynamically displaying the position and direction of the virtual coil corresponding to the transcranial magnetic stimulation coil on the three-dimensional brain model. And synchronously updating the brain slice view based on the corrected target point coordinates, and highlighting the actually stimulated brain region boundary. According to the method, adaptive neural navigation is driven through electric field remapping, and compensation target point correction is achieved.

The invention discloses a transcranial magnetic navigation and curative effect evaluation system based on electroencephalogram power spectrum analysis, particularly relates to the technical field of electroencephalogram signal processing, and is used for solving the technical problem that existing transcranial magnetic stimulation treatment lacks interference evaluation and stimulation path optimization on a cortical collaborative area. According to the method, electroencephalogram signals of a testee in a resting state and a task state are collected, phase-amplitude coupling indexes between frequency bands are extracted, a frequency-crossing coupling matrix is constructed, a nested chain structure with modulation direction consistency is identified, a stable resonance channel group is extracted from a channel intersection set to form a collaborative active region, and the collaborative active region is constructed. And after mapping to a standard brain map, carrying out space matching with a TMS target spot, evaluating an interference risk level, formulating a stimulation avoidance strategy, recording side reactions during treatment, and constructing a curative effect scoring window in a normalization manner, so as to realize synchronous optimization of stimulation planning and curative effect evaluation.

The invention discloses a transcranial magnetic stimulation target region recommendation method based on craniocerebral position estimation. The method comprises the following steps: constructing a face key point cloud based on binocular stereo vision; reconstructing the face key point cloud into a cranial surface model by using a pre-trained generative model; the method comprises the following steps: collecting magnetic resonance imaging data of patients with various diseases, establishing a transcranial magnetic stimulation target region standardized template with disease specificity, and determining a stimulation target region of each disease in a standard space; and based on the transcranial magnetic stimulation target region standardization template, mapping the corresponding stimulation target region from the standard space brain region to the scalp of the patient according to the disease type of the patient so as to realize recommendation. According to the method, the graph neural network is innovatively combined with the SHAP algorithm, the scientificity and interpretability of target spot selection are improved, important brain region target spots are obtained by calculating the contribution value of classification model features to classification decision of each sample, and then intervention target spots are sorted and selected to obtain an optimal treatment target spot recommendation scheme.

The invention belongs to the technical field of transcranial magnetic stimulation medical treatment. The problems that in an existing transcranial magnetic stimulation technology, the focusing performance of a deep specific brain area is not high, positioning is not accurate, and full-path superficial layer tissue is strongly stimulated are solved. According to the deep transcranial magnetic stimulation positioning navigation system based on time interference, based on the time interference principle, stimulation currents with different frequencies are applied to two sets of transmitting coils, low-frequency envelope waves are overlaid in the skull, and therefore the current magnitude is reduced, and the focusing degree is improved. Data support is provided for accurate positioning of the head posture of a patient based on a depth camera, and a multi-degree-of-freedom coil capable of generating an omni-directional magnetic field in space is provided. By reasonably adjusting the amplitude of the current introduced into the coil, the magnetic field can automatically move to the stimulation point of the head of the patient for treatment, the stimulation target is changed by adjusting the electrical parameters, and the low-frequency envelope magnetic field is obtained by modulation at the stimulation target, so that the target neurons are magnetically stimulated.

The invention provides a control method and device for a transcranial magnetic robot. The control method comprises the steps that whether the current pressure borne by a transcranial magnetic stimulation racket at the tail end of a robot arm of the transcranial magnetic robot is zero or not is monitored; if the current pressure is not zero, determining a current control strategy of the transcranial magnetic robot according to a relationship between the current pressure and a preset pressure threshold range; and controlling the mechanical arm of the transcranial magnetic robot to move according to the current control strategy. Therefore, the movement of the mechanical arm is adjusted according to the current pressure borne by the transcranial magnetic stimulation racket, so that the transcranial magnetic stimulation racket is ensured not to be separated from the target spot and be tightly attached to the to-be-attached part of the patient, and the treatment experience of the patient is improved.

The invention belongs to the technical field of transcranial magnetic stimulation coil design, and particularly provides a transcranial magnetic stimulation coil design method and system based on an inverse boundary element method.The method comprises the steps that firstly, a stream function calculation formula based on the inverse boundary element method and a regulation and control mechanism of current density constraint on wire spacing are deduced; and completing the design of the rat frontal and parietal lobe targeted stimulation coil. Aiming at the frontal top lobe area of a rat, a reverse method of an inverse boundary element method is adopted, the interference of the coil on experimental observation is reduced, and a small cambered surface TMS coil is designed. Compared with a circular coil and an 8-shaped coil of a conventional human body commercial coil which is reduced in equal ratio, the half-value volumes of the coil are respectively reduced by 79.78% and 57.14%, and the focusing degree of stimulation is remarkably improved; meanwhile, by adding the current density constraint, on the premise that the influence on the stimulation effect is small, the minimum distance between the wires is increased to 1.02 mm from 0.39 mm, and the feasibility of coil winding is ensured.

The invention discloses a transcranial magnetic stimulation positioning system based on a deep effect brain region, and the system comprises the steps: obtaining the data of a tested magnetic resonance image, which comprises a resting state functional image and a high-resolution T1 structure image; performing data preprocessing on the function image and the structure image, and establishing an individual space; the deep effect brain region template is converted to an individual space through nonlinear registration, and a target region of interest is defined; calculating functional connections between voxels of the deep effect brain region and the cortical region by adopting a Granger causality analysis method based on wavelet transformation; and screening Top block masses according to the functional connection strength, calculating the gravity centers of the Top block masses, and determining individualized stimulation targets in combination with the skull surface distance. According to the method, spontaneous brain activity function variation of the brain of an individual and the brain signal propagation direction are fully considered, accurate positioning of different individual levels is achieved, relatively stable cortex stimulation targets are obtained, and therefore the clinical curative effect of TMS is optimized.

Provided herein are apparatuses, systems and methods for non-invasively assessing synaptic dysfunction in a patient with Alzheimer's Disease. Transcranial magnetic stimulation (TMS) is applied to at least one brain region of the patient. A plurality of TMS evoked potentials generated in response to the TMS applied to the at least one brain region of the patient is recorded with a plurality of electroencephalography (EEG) electrodes. At least one characteristic of the plurality of TMS evoked potentials is analyzed to assess synaptic dysfunction in the patient. An indication of the synaptic dysfunction assessment of the patient is output.

The invention provides a brain-computer interface closed-loop nerve regulation and control method, a storage medium, a system and a program product, and the method comprises the following steps: circularly executing the following steps according to a first period until an end condition is met: controlling transcranial magnetic stimulation equipment to run for a first time length according to a set stimulation parameter to stimulate a testee; collecting an electroencephalogram signal sequence of the testee in the target brain area; the electroencephalogram signal sequence is processed, a preset index is obtained, and the preset index is used for reflecting the active condition of the target brain area; and processing the preset index by using a deep reinforcement learning network to obtain a stimulation parameter of the next period. According to the method, the brain state is adjusted according to accurate individual characteristics in a self-adaptive closed-loop mode, and a more accurate and effective nerve regulation and control scheme can be provided.

The invention relates to the technical field of transcranial magnetic stimulation target spot positioning, and provides a head MRI registration method, system and program product based on a 3D scanner, and the method comprises the steps: obtaining the MRI three-dimensional data of a patient; the method comprises the following steps: scanning the face of a patient through a 3D scanner to obtain scanning data, and generating three-dimensional model data according to the scanning data; the scanning data comprises a depth map; performing coordinate transformation on MRI space coordinates and space coordinates of a 3D scanner according to the MRI three-dimensional data and the three-dimensional model data to obtain a first transformation matrix; cutting a face region on the depth map to obtain a face partial region; and according to the first conversion matrix, the MRI three-dimensional data and the three-dimensional model data of the face partial region, registering the face partial region and the MRI three-dimensional data to obtain a second conversion matrix, so that the precision and efficiency of head MRI registration can be improved through a 3D scanner, and the precision and efficiency of transcranial magnetic stimulation treatment are improved.

The invention discloses a transcranial stimulation magnetic therapy coil navigation method, a transcranial stimulation magnetic therapy coil navigation system, a storage medium and equipment. The method comprises the following steps: acquiring three-dimensional structure information of the head of a target object, magnetic resonance imaging (MRI) data of an individual target object, or three-dimensional model data obtained by matching from a general MRI template library; real-time surface geometric information of the head of the target object is collected through an infrared optical tracking system; performing registration fusion on the three-dimensional structure information and the real-time surface geometric information, and generating an individualized three-dimensional brain model synchronized with a real space coordinate system on a navigation interface; the spatial position and posture of the optical marker fixed on the magnetic therapy coil are tracked in real time through an infrared optical tracking system and correspondingly mapped to the individualized three-dimensional brain model, and visual navigation of the magnetic therapy coil relative to the brain anatomical structure is achieved. Through the individualized three-dimensional navigation and real-time visualization technology, the problems that a traditional TMS is low in positioning precision, invisible in operation and poor in treatment repeatability are solved.

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 invention relates to a heterogeneous human head model construction method and system oriented to multi-physics field simulation, based on real human head T1 weighted magnetic resonance image data, key tissues such as white matter, gray matter and cerebrospinal fluid are accurately segmented, and a three-dimensional geometric model used for generating carrying tissue identification information is researched and developed; converting the model data into a file format conforming to the NASTRAN standard by utilizing an independently developed format conversion program, and completely retaining organization classification information; finally, different tissue areas are automatically recognized through physical field simulation software, corresponding frequency dependent material attributes are distributed, and a finite element model capable of being directly used for simulation is formed. According to the method, seamless integration of the high-precision heterogeneous human head model and the simulation platform is achieved, tedious manual repairing and assignment operation is not needed, the method has the advantages of being high in precision, high in efficiency and good in compatibility, and the authenticity and reliability of biomedical simulation such as transcranial magnetic stimulation and radio frequency coil design can be remarkably improved.

The invention relates to the technical field of transcranial magnetic stimulation target spot positioning, and provides a transcranial magnetic stimulation individual target spot positioning method and system and a program product, and the method comprises the steps: obtaining the magnetic resonance brain imaging data of a tested individual; preprocessing the magnetic resonance brain imaging data to obtain preprocessed magnetic resonance brain imaging data, and performing superficial brain region division according to the preprocessed magnetic resonance brain imaging data to obtain a plurality of functional sub-regions; individual target stimulation targets of transcranial magnetic stimulation are determined according to the multiple functional sub-regions, fluctuation of functional connection strength between different voxels can be reduced, instability of resting state functional connection in a tested individual is effectively counteracted, and even if the connection strength of some voxels changes along with time, the tested individual cannot be affected. And the functional characteristics of the whole functional sub-region are still kept relatively consistent, so that the robustness of target spot positioning is improved.

The invention discloses an optical and neural feedback multi-modal data analysis method for a nerve regulation target, and belongs to the technical field of cranial nerve treatment, and the method specifically comprises the steps: receiving a head movement instruction of a patient through an interactive interface, pausing transcranial magnetic stimulation after receiving the instruction, and switching to a head movement monitoring state; an infrared optical navigation device is combined with a magnetic resonance image to construct an individualized brain three-dimensional model, head position changes are tracked in real time, and autonomic nerve feedback signals are collected at the same time; synchronously aligning the head coordinates with the neural feedback signals to generate a multi-modal data set, and analyzing relevance to obtain real-time regulation and control parameters; the positioning and stimulation intensity of the transcranial magnetic stimulation coil are adaptively adjusted according to the parameters, and related information is displayed on a treatment interface; after the head of the patient finishes moving and is stable, a rapid re-calibration process is automatically triggered, high-precision monitoring is recovered, and magnetic stimulation output is reactivated; according to the invention, the treatment stability and adaptability are improved.

Offline prior to operation, an optimised control sequence is derived for a pulse system comprising a reactive circuit for generating electromagnetic pulses, such as a transcranial magnetic stimulation circuit, and cascaded switching modules for switchably connecting capacitive discharge elements to provide a multi-level output voltage for the reactive circuit. A discrete-time model predicts an electrical state of the pulse system. A target profile for an electromagnetic pulse is received. For respective time-steps of the control sequence taken in succession, an optimal path of switching states over a window of time-steps starting with the respective time-step is derived, optimising a cost function having a deviation cost contribution representing deviation of an electrical state of the pulse system predicted by the discrete-time model from the target profile over the window. The switching state of the determined path at the respective time-step is selected for the control sequence.

The invention discloses a task state brain-computer interface training system for closed-loop transcranial magnetic stimulation, and particularly relates to the field of cognitive rehabilitation assistion.The task state brain-computer interface training system comprises the steps that multi-channel electroencephalogram signals and brain function activation records are synchronously collected in the rehabilitation training process, task segments are divided, and frequency domain energy characteristics of all channels are extracted; identifying a state transition candidate segment based on the frequency band energy distribution change; the method comprises the following steps: constructing a cross-channel phase synchronization matrix, and inputting a graph convolutional neural network to generate an activation topology vector reflecting a brain region cooperation mode; the system constructs an activation state recognizer by taking a topological vector and a brain function activation label as supervision data, and realizes real-time judgment of different function states. The recognition result drives a stimulation parameter recommendation module, a preset stimulation strategy mapping table is inquired according to the recognition state, recommended stimulation parameters are dynamically generated and transmitted to a magnetic stimulation execution interface, and personalized closed-loop nerve regulation and control are achieved.

The invention discloses a voice control-based augmented reality precise transcranial magnetic stimulation system, which comprises augmented reality equipment, a voice recognition and control module and transcranial magnetic stimulation TMS equipment, and is characterized in that a magnetic resonance structure image of a tested head is projected to a real head, precise intracranial intervention sites are visualized, precise placement of a TMS coil is guided online, and the accuracy of the TMS coil is improved. The accuracy of transcranial magnetic stimulation is effectively improved, and the TMS equipment can be controlled through voice to switch a preset stimulation target, a stimulation mode, stimulation duration and the like according to a testee; the operation platform is transferred from a far-end computer screen to a tested actual head, a transcranial magnetic stimulation practitioner only needs to place a coil according to a visual model, the operation difficulty is greatly reduced, dependence on expensive and non-portable existing neural navigation hardware is reduced, and the transcranial magnetic stimulation system has the advantages of being easy and convenient to operate, portable, movable, low in cost, easy to popularize and suitable for popularization and application. And the use efficiency and the application range of the TMS equipment are greatly improved.