Method for analyzing relativity between electroencephalograph and myoelectricity based on autonomous and stimulation movement modalities

Abstract

A method for analyzing relativity between electroencephalograph and myoelectricity based on autonomous and stimulation movement modalities comprises the steps of performing system setup, and using a LabVIEW 8.6 to generate synchronizing pulse signals; respectively collecting electroencephalograph signals and electromyography signals including electroencephalograph signals and electromyography signals in autonomous movement modalities and in stimulation movement modalities; analyzing electroencephalograph and electromyography time-domain signals in the autonomous movement and stimulation movement modalities according to time domain pictures of electroencephalograph and electromyography signals of a subject in the autonomous movement and stimulation movement modalities; removing noise of the electromyography signals in the stimulation modality; performing time-frequency analysis on electroencephalograph signals based on Morlet wavelet transformation; and performing coherence analysis. The method can obtain activating or restraining information of electroencephalograph in different time frequency in initiative and passive states to be used for guiding and feeding back recovery indexes of physical disability patients of apoplexy patients and the like, thereby enabling recovery to be a quantitative process instead of a qualitative definition.

Description

technical field [0001] The invention relates to a method for analyzing the correlation of brain myoelectricity. In particular, it relates to an analysis method of brain electromyography correlation based on voluntary and stimulated action mode, which can enable people to understand how brain neural activity controls muscle movement. Background technique [0002] At present, some international institutions and scholars have begun to pay attention to and devote themselves to the research on the relationship between EEG and EMG. Gradual decrease in functional skin-muscle coupling performance caused by fatigue; the University of New South Wales, Australia, conducts research on the brain-myoelectric correlation and the myoelectric coherence between the two hands when both hands move at the same time, and explores the signal from different frequency bands The relationship between source and frequency; the University of Rome explores the balance of judgment through the study of th...

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Problems solved by technology

In addition, some foreign universities and research institutions have also conducted research on the EEG correlation under different conditions, and domestic research on this aspect is still very limited.

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