A Pilot Study on Electromyographic Biofeedback Mechanism by Nonlinear Analysis
- VernacularTitle:肌电生物反馈的非线性机制
- Author:
Tinghuai WANG
;
Qingchun GAO
;
Xiaoyang XU
- Publication Type:Journal Article
- Keywords:
biofeedback;
case-control study;
electromyography;
electroencephalography;
approximate entropy;
nonlinear analysis
- From:
Chinese Mental Health Journal
1991;0(02):-
- CountryChina
- Language:Chinese
-
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
