Characterization of surface EMG signals using improved approximate entropy.

被引：26
|
作者：
Chen W.T. [1 ]
Wang Z.Z. [1 ]
Ren X.M. [1 ]
机构：
[1] Department of Biomedical Engineering, Shanghai Jiao Tong University, Shanghai
来源：
Journal of Zhejiang University SCIENCE B | 2006年 / 7卷 / 10期
基金：
中国国家自然科学基金;
关键词：
Surface EMG (sEMG) signal; Nonlinear analysis; Approximate entropy (ApEn); Fractal dimension; R318.04;
D O I：
10.1631/jzus.2006.B0844
中图分类号：
学科分类号：
摘要：
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.
引用
收藏
页码：844 / 848
页数：4
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