A Pilot Study on Electromyographic Biofeedback Mechanism by Nonlinear Analysis / 中国心理卫生杂志

ABSTRACT

Objective: To study the mechanism of electromyographic (EMG) biofeedback. Methods: The EMG and electroencephalographic (EEG) signals were recorded dynamically during the course of EMG biofeedback. Changes of EMG amplitude and frequency during EMG biofeedback were assessed with linear analysis. We also applied the nonlinear analysis, approximate entropy (ApEn) of EMG signals and Cross Approximate entropy (Cross-ApEn) between EMG and EEG signals, to assess regularities in EMG and correlation between EMG and EEG. Results: With the processing of EMG biofeedback, the maximum, minimum and mean amplitude of EMG signals decreased significantly (F=3.85~25.59,P