[1] Hu Xiao, Wang Zhizhong, Ren Xiaomei,. Classification of forearm action surface EMG signalsbased on fractal dimension [J]. Journal of Southeast University (English Edition), 2005, 21 (3): 324-329. [doi:10.3969/j.issn.1003-7985.2005.03.016]

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Classification of forearm action surface EMG signalsbased on fractal dimension()

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Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

21

Issue:

2005 3

Page:

324-329

Research Field:

Biological Science and Medical Engineering

Publishing date:

2005-09-30

Info

Title:

Classification of forearm action surface EMG signalsbased on fractal dimension

Author(s):

Hu Xiao;  Wang Zhizhong;  Ren Xiaomei

Department of Biomedical Engineering, Shanghai Jiaotong University, Shanghai 200030, China

Keywords:

action surface electromyogram(ASEMG)signal;  fractal dimension;  wavelet packet transform(WPT);  fuzzy self-similarity;  Bayes decision

PACS:

R318.04

DOI:

10.3969/j.issn.1003-7985.2005.03.016

Abstract:

Surface electromyogram(EMG)signals were identified by fractal dimension.Two patterns of surface EMG signals were acquired from 30 healthy volunteers’ right forearm flexor respectively in the process of forearm supination(FS)and forearm pronation(FP).After the raw action surface EMG(ASEMG)signal was decomposed into several sub-signals with wavelet packet transform(WPT), five fractal dimensions were respectively calculated from the raw signal and four sub-signals by the method based on fuzzy self-similarity.The results show that calculated from the sub-signal in the band 0 to 125 Hz, the fractal dimensions of FS ASEMG signals and FP ASEMG signals distributed in two different regions, and its error rate based on Bayes decision was no more than 2.26%.Therefore, the fractal dimension is an appropriate feature by which an FS ASEMG signal is distinguished from an FP ASEMG signal.

References:

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Memo

Memo:

Biographies: Hu Xiao(1969—), male, PhD;Wang Zhizhong(corresponding author), male, PhD, professor, zzwang@sjtu.edu.cn.

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