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Abstract
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Article Information:
Wavelet Denoising and Surface Electromyography Analysis
M.S. Hussain and Md. Mamun
Corresponding Author: Md. Mamun
Submitted: January 26, 2012
Accepted: February 22, 2012
Published: August 01, 2012 |
Abstract:
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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.
Key words: Denoising, gaussianity, SEMG, wavelet transform, , ,
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Abstract
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Cite this Reference:
M.S. Hussain and Md. Mamun, . Wavelet Denoising and Surface Electromyography Analysis. Research Journal of Applied Sciences, Engineering and Technology, (15): 2372-2374.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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