Investigation of Muscle Fatigue by Processing EMG Signal

被引：0

作者：

Cakir, Oezlem ^{[1
]}

Engin, Mehmet ^{[2
]}

Engin, Erkan Zeki ^{[2
]}

Yumrukaya, Ufuk ^{[2
]}

机构：

[1] Ege Univ, Biyofiz AD, Tip Fak, Izmir, Turkey

[2] Ege Univ, Elekt & Elekt Muhendisligi Bolumu, Izmir, Turkey

来源：

BIYOMUT: 2009 14TH NATIONAL BIOMEDICAL ENGINEERING MEETING | 2009年

关键词：

WAVELET;

D O I：

暂无

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Surface EMG signals are taken from the human muscle and have some advantages over the needle electrode originated EMG's recordings. In this study, we have processed surface EMG's coming from the normal subject set (7 female and 7 male) to investigate the effects of the muscle fatigue on the 50% maximum voluntary contraction condition. We have observed great correlation between three features which are the slope of the changes of median frequency, number of zero crossing, and wavelet transform based entropy. We also found that the wavelet transform based entropy values have the great abrupt changes for some subjects.

引用

页码：413 / +

页数：2

共 8 条

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