Wavelet transform to recognize muscle fatigue

Author

Chowdhury, Rajdeep ; Reaz, Mamun Bin Ibne ; Islam, Mohammad Tariqul

Author_Institution

Dept. of Electr., Univ. Kebangsaan Malaysia, Bangi, Malaysia

fYear

2012

fDate

23-25 Nov. 2012

Firstpage

1

Lastpage

5

Abstract

Electromyography (EMG) is to measure the muscle response to nervous stimulation. The power spectrum of the EMG shifts towards lower frequencies during a continued muscle contraction due to muscular fatigue. Muscle fatigue is the decline in ability of a muscle to create force. This research presents the effectiveness of the wavelet transform applied to the surface EMG (SEMG) signal as a means of understanding muscle fatigue during walk. 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 symbolized by WF Daubechies4. Moreover, bispectrum properties compared to the other WFs. To determine muscle fatigue during gait, Daubechies45 is used in this research to analyze SEMG signal.

Keywords

electromyography; medical signal processing; spectral analysis; wavelet transforms; EMG power spectrum; SEMG signal; WF Daubechies4; bispectrum analysis; bispectrum property; electromyography; muscle contraction; muscle fatigue recognition; muscle response; nervous stimulation; rectus femoris muscle; surface EMG signal; wavelet functions; wavelet transform; Discrete wavelet transforms; Electromyography; Fatigue; Frequency measurement; Linearity; Muscles; Wavelet analysis; Bispectrum; EMG; SEMG; WF;

fLanguage

English

Publisher

ieee

Conference_Titel

Internet (AH-ICI), 2012 Third Asian Himalayas International Conference on

Conference_Location

Kathmandu

ISSN

2157-0647

Print_ISBN

978-1-4673-2591-2

Type

conf

DOI

10.1109/AHICI.2012.6408445

Filename

6408445