Effectiveness of the Wavelet Transform on the Surface EMG to Understand the Muscle Fatigue During Walk

被引：29

作者：

Hussain, M. S. ^{[1
]}

Mamun, Md. ^{[2
]}

机构：

[1] Univ Sydney, Sch Elect & Informat Engn, Sydney, NSW 2006, Australia

[2] Univ Kebangsaan Malaysia, Smart Engn Syst Res Grp, Bangi 43600, Selangor, Malaysia

来源：

MEASUREMENT SCIENCE REVIEW | 2012年 / 12卷 / 01期

关键词：

Electromyography; surface electromyography; wavelet; bispectrum; HIGHER-ORDER STATISTICS; SIGNAL ANALYSIS; ELECTROMYOGRAPHY;

D O I：

10.2478/v10048-012-0005-x

中图分类号：

TH7 [仪器、仪表];

学科分类号：

0804 ; 080401 ; 081102 ;

摘要：

Muscle fatigue is the decline in ability of a muscle to create force. Electromyography (EMG) is a medical technique for measuring muscle response to nervous stimulation. During a sustained muscle contraction, the power spectrum of the EMG shifts towards lower frequencies. These effects are due to muscle fatigue. Muscle fatigue is often a result of unhealthy work practice. In this research, the effectiveness of the wavelet transform applied to the surface EMG (SEMG) signal as a means of understanding muscle fatigue during walk is presented. Power spectrum and bispectrum analysis on the EMG signal getting from right rectus femoris muscle is executed utilizing various wavelet functions (WFs). It is possible to recognize muscle fatigue appreciably with the proper choice of the WF. The outcome proves that the most momentous changes in the EMG power spectrum are symbolized by WF Daubechies45. Moreover, this research has compared bispectrum properties to the other WFs. To determine muscle fatigue during gait, Daubechies45 is used in this research to analyze the SEMG signal.

引用

页码：28 / 33

页数：6

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