Conjoint analysis method for electroencephalograph and electromyography signals based on autonomous movement and imagination movement

Abstract

A conjoint analysis method for electroencephalograph and electromyography signals based on autonomous movement and imagination movement comprises the steps of performing system setup, and using a LabVIEW 8.6 to generate square wave pulse signals; respectively collecting electroencephalograph signals and electromyography signals including electroencephalograph signals and electromyography signals in autonomous movement modalities and in imagination movement modalities; performing noise removal pretreatment on collected original data; performing electroencephalograph and electromyography time-domain signal analysis in the autonomous movement and imagination movement modalities on electroencephalograph and electromyography signal time-domain pictures which are performed with noise removal pretreatment in the autonomous movement and imagination movement modalities; performing time-frequency signal analysis on electroencephalograph and electromyography signals performed with noise removal pretreatment and in the autonomous movement and imagination movement modalities based on Morlet wavelet transformation; and performing partial directional coherence analysis, and in particular adopting granger causality to perform the partial directional coherence analysis. The conjoint analysis method provides new evaluation parameters for monitoring recovery auxiliary equipment and assessing organism movement level.

Description

technical field [0001] The present invention relates to one. In particular, it involves a method of synchronously collecting EEG signals and EMG signals in related areas in different action modes, and performing data processing and bias-oriented coherent analysis on the EEG signals in the two action modes to obtain EEG signals. The causality of the signal when the action occurs and the flow of information are based on the joint analysis method of brain electromyography signals under voluntary actions and imagined actions. Background technique [0002] In 1924, Dr. Hans Berger (1873-1941), a professor of psychiatry at the University of Jena in Germany, first recorded human scalp EEG signals, and named the brain electrical activity electroencephalogram (EEG) for the first time. However, because there were few scholars studying the electrical activity of the central nervous system at that time, Berger's achievements were not recognized by most physiologists and neurologists. ...

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However, because there were few scholars studying the electrical activity of the central nervous system at that time, Berger's achievements were not recognized by most physiologists and neurologists.

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