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    Abstract
2012 (Vol. 4, Issue: 15)
Article Information:

Wavelet Denoising and Surface Electromyography Analysis

M.S. Hussain and Md. Mamun
Corresponding Author:  Md. Mamun 

Key words:  Denoising, gaussianity, SEMG, wavelet transform, , ,
Vol. 4 , (15): 2372-2374
Submitted Accepted Published
January 26, 2012 February 22, 2012 August 01, 2012
Abstract:

In this research, Surface Electromyography (SEMG) signal analysis from the right rectus femoris muscle is performed during walk. Wavelet Transform (WT) has been applied for removing noise from the surface SEMG. Gaussianity tests are conducted to understand changes in muscle contraction and to quantify the effectiveness of the noise removal process. Results show that the proposed method can effectively remove noise from the raw SEMG signals for further analysis.
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  Cite this Reference:
M.S. Hussain and Md. Mamun, 2012. Wavelet Denoising and Surface Electromyography Analysis.  Research Journal of Applied Sciences, Engineering and Technology, 4(15): 2372-2374.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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