Dyskinesia cortex plasticity management method based on transcranial electrical stimulation brain-muscle coupling

A technology for movement disorders and management methods, which is applied in the field of pattern recognition and can solve problems such as restricting the effect of central nervous system remodeling on motor functions

Active Publication Date: 2019-11-26
HANGZHOU DIANZI UNIV
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Problems solved by technology

[0004] At present, most rehabilitation methods based on tDCS use fixed stimulation methods and parameters, and there is no flexible change mech

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  • Dyskinesia cortex plasticity management method based on transcranial electrical stimulation brain-muscle coupling
  • Dyskinesia cortex plasticity management method based on transcranial electrical stimulation brain-muscle coupling

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Embodiment Construction

[0022] The embodiments of the present invention will be described in detail below in conjunction with the accompanying drawings: this embodiment is implemented on the premise of the technical solution of the present invention, and provides detailed implementation methods and specific operating procedures.

[0023] Such as figure 1 As shown, this embodiment includes the following steps:

[0024] Step 1: Build a rehabilitation experiment platform, determine the experimental paradigm and formulate a rehabilitation training plan. The specific process is as follows:

[0025] The tDCS device is used to form the electrical stimulation intervention channel of the cerebral cortex, and the multi-channel EEG signal acquisition function of the tDCS device and the wireless EMG signal acquisition device are used to form the EEG and EMG signal acquisition channels respectively.

[0026] The experimental subjects were 40 patients with upper limb dysfunction after stroke who met the inclusion...

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Abstract

The invention provides a dyskinesia cortex plasticity management method based on transcranial electrical stimulation brain-muscle coupling. The method comprises the following steps: firstly, a functional brain area multi-lead EEG signal is analyzed; a brain function network modeling method is adopted to calculate brain function network indexes of connectivity and small-world characteristics, the brain function network characteristics before and after tDCS stimulation are compared, and functional connection and nerve remodeling rules of a functional anterior region, a functional region and a functional perception region of a stimulated hemisphere in the exercise activity period are revealed; then, brain-brain, brain-muscle and muscle-muscle coupling characteristic indexes are extracted by adopting a multi-level neuromuscular coupling analysis method based on causal measurement of a dynamic regression model, and the rehabilitation effect of upper limb movement functions is described fromdifferent side surfaces; and finally, the correlation between the brain-muscle electric coupling characteristics and the influence rule of the tDCS on the nerve plasticity is studied, a basis is provided for further improvement of the stimulation mode and parameters of the tDCS, and effective guidance and management of motor function cortex nerve remodeling are achieved.

Description

technical field [0001] The invention belongs to the field of pattern recognition, and relates to a method for managing plasticity of motor dysfunction cortex based on external stimulus intervention and exercise rehabilitation evaluation based on the use of motor imagery in active rehabilitation robots, and in particular to a method based on transcranial direct current stimulation A method for the management of cortical plasticity in motor dysfunction by coupling analysis with brain electromyography. Background technique [0002] Stroke is one of the common cerebrovascular diseases in the world. After the onset, patients often have motor dysfunction, and the recovery of motor function is slow, difficult, and poor prognosis, which has become the focus and difficulty in rehabilitation treatment. In recent years, the rapid development of brain science, neurophysiology, brain function network theory, brain-computer interface and other interdisciplinary research results have broug...

Claims

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Application Information

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IPC IPC(8): A61B5/0476A61B5/0488A61B5/00A61N1/36G06Q10/06G16H20/30
CPCA61B5/7203A61B5/725A61B5/7225A61N1/36003G16H20/30G06Q10/06393A61B5/369A61B5/389
Inventor 陆晟罗志增席旭刚马存斌
Owner HANGZHOU DIANZI UNIV
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