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[Pattern recognition of surface electromyography signal based on multi-scale fuzzy entropy]

Xiaoyang Zou1, Min Lei

  • 1Institute of Vibration, Shock and Noise, Shanghai Jiao Tong University, 200240 Shanghai, China.

Sheng Wu Yi Xue Gong Cheng Xue Za Zhi = Journal of Biomedical Engineering = Shengwu Yixue Gongchengxue Zazhi
|March 9, 2013
PubMed
Summary

This study introduces a new method using multi-scale fuzzy entropy (MSFuzzyEn) to improve the accuracy of recognizing surface electromyography (SEMG) signals for applications like prosthetics. The MSFuzzyEn approach achieved higher recognition rates than traditional fuzzy entropy methods.

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