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.