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Received: 2006-01-13

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Journal of Zhejiang University SCIENCE B 2006 Vol.7 No.10 P.844~848


Characterization of surface EMG signals using improved approximate entropy

Author(s):  CHEN Wei-ting, WANG Zhi-zhong, REN Xiao-mei

Affiliation(s):  Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China

Corresponding email(s):   zzwang@sjtu.edu.cn

Key Words:  Surface EMG (sEMG) signal, Nonlinear analysis, Approximate entropy (ApEn), Fractal dimension

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CHEN Wei-ting, WANG Zhi-zhong, REN Xiao-mei. Characterization of surface EMG signals using improved approximate entropy[J]. Journal of Zhejiang University Science B, 2006, 7(10): 844~848.

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T1 - Characterization of surface EMG signals using improved approximate entropy
A1 - CHEN Wei-ting
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A1 - REN Xiao-mei
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DOI - 10.1631/jzus.2006.B0844

An improved approximate entropy (ApEn) is presented and applied to characterize surface electromyography (sEMG) signals. In most previous experiments using nonlinear dynamic analysis, this certain processing was often confronted with the problem of insufficient data points and noisy circumstances, which led to unsatisfactory results. Compared with fractal dimension as well as the standard ApEn, the improved ApEn can extract information underlying sEMG signals more efficiently and accurately. The method introduced here can also be applied to other medium-sized and noisy physiological signals.

Darkslateblue:Affiliate; Royal Blue:Author; Turquoise:Article


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