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- W2389772262 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,P0.05), inversely, the frequency of EMG signals increased significantly (F=6.71,8.67,P0.05). At the same time, the ApEn value of EMG signals decreased remarkably (F=5.42,2.81,P0.05), but the value of Cross-ApEn between EMG and EEG signals increased remarkably (F=13.77~19.52,P0.05) after each EMG biofeedback. Remarkable difference also existed in ApEn and cross-ApEn between biofeedback group and control group after the last two EMG biofeedback (P0.05). Conclusion: The EMG biofeedback may modulate EMG signals by strengthening the voluntary regulation and weakening the non-linear facilitation of brain to unit of lower motor neuron and muscle system." @default.
- W2389772262 created "2016-06-24" @default.
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- W2389772262 date "2006-01-01" @default.
- W2389772262 modified "2023-09-25" @default.
- W2389772262 title "A Pilot Study on Electromyographic Biofeedback Mechanism by Nonlinear Analysis" @default.
- W2389772262 hasPublicationYear "2006" @default.
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