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The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets

Electromyography (EMG) signal processing has been investigated remarkably regarding various applications such as in rehabilitation systems. Specifically, wavelet transform has served as a powerful technique to scrutinize EMG signals since wavelet transform is consistent with the nature of EMG as a n...

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Main Authors: Mahdavi, Farzaneh Akhavan, Ahmad, Siti Anom, Marhaban, Mohammad Hamiruce, Akbarzadeh Totonchi, Mohammad Reza
Format: Article
Language:English
Published: World Academy of Science, Engineering and Technology 2013
Online Access:http://psasir.upm.edu.my/id/eprint/28707/1/The%20utility%20of%20wavelet%20transform%20in%20surface%20electromyography%20feature%20extraction.pdf
http://psasir.upm.edu.my/id/eprint/28707/
http://waset.org/publications/2502/the-utility-of-wavelet-transform-in-surface-electromyography-feature-extraction-a-comparative-study-of-different-mother-wavelets
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spelling my.upm.eprints.287072015-10-09T07:04:13Z http://psasir.upm.edu.my/id/eprint/28707/ The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets Mahdavi, Farzaneh Akhavan Ahmad, Siti Anom Marhaban, Mohammad Hamiruce Akbarzadeh Totonchi, Mohammad Reza Electromyography (EMG) signal processing has been investigated remarkably regarding various applications such as in rehabilitation systems. Specifically, wavelet transform has served as a powerful technique to scrutinize EMG signals since wavelet transform is consistent with the nature of EMG as a non-stationary signal. In this paper, the efficiency of wavelet transform in surface EMG feature extraction is investigated from four levels of wavelet decomposition and a comparative study between different mother wavelets had been done. To recognize the best function and level of wavelet analysis, two evaluation criteria, scatter plot and RES index are recruited. Hereupon, four wavelet families, namely, Daubechies, Coiflets, Symlets and Biorthogonal are studied in wavelet decomposition stage. Consequently, the results show that only features from first and second level of wavelet decomposition yields good performance and some functions of various wavelet families can lead to an improvement in separability class of different hand movements. World Academy of Science, Engineering and Technology 2013 Article PeerReviewed application/pdf en http://psasir.upm.edu.my/id/eprint/28707/1/The%20utility%20of%20wavelet%20transform%20in%20surface%20electromyography%20feature%20extraction.pdf Mahdavi, Farzaneh Akhavan and Ahmad, Siti Anom and Marhaban, Mohammad Hamiruce and Akbarzadeh Totonchi, Mohammad Reza (2013) The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets. International Journal of Electrical, Computer, Energetic, Electronic and Communication Engineering, 7 (2). pp. 82-87. ISSN 1307-6892 http://waset.org/publications/2502/the-utility-of-wavelet-transform-in-surface-electromyography-feature-extraction-a-comparative-study-of-different-mother-wavelets
institution Universiti Putra Malaysia
building UPM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Putra Malaysia
content_source UPM Institutional Repository
url_provider http://psasir.upm.edu.my/
language English
description Electromyography (EMG) signal processing has been investigated remarkably regarding various applications such as in rehabilitation systems. Specifically, wavelet transform has served as a powerful technique to scrutinize EMG signals since wavelet transform is consistent with the nature of EMG as a non-stationary signal. In this paper, the efficiency of wavelet transform in surface EMG feature extraction is investigated from four levels of wavelet decomposition and a comparative study between different mother wavelets had been done. To recognize the best function and level of wavelet analysis, two evaluation criteria, scatter plot and RES index are recruited. Hereupon, four wavelet families, namely, Daubechies, Coiflets, Symlets and Biorthogonal are studied in wavelet decomposition stage. Consequently, the results show that only features from first and second level of wavelet decomposition yields good performance and some functions of various wavelet families can lead to an improvement in separability class of different hand movements.
format Article
author Mahdavi, Farzaneh Akhavan
Ahmad, Siti Anom
Marhaban, Mohammad Hamiruce
Akbarzadeh Totonchi, Mohammad Reza
spellingShingle Mahdavi, Farzaneh Akhavan
Ahmad, Siti Anom
Marhaban, Mohammad Hamiruce
Akbarzadeh Totonchi, Mohammad Reza
The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets
author_facet Mahdavi, Farzaneh Akhavan
Ahmad, Siti Anom
Marhaban, Mohammad Hamiruce
Akbarzadeh Totonchi, Mohammad Reza
author_sort Mahdavi, Farzaneh Akhavan
title The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets
title_short The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets
title_full The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets
title_fullStr The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets
title_full_unstemmed The utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets
title_sort utility of wavelet transform in surface electromyography feature extraction - a comparative study of different mother wavelets
publisher World Academy of Science, Engineering and Technology
publishDate 2013
url http://psasir.upm.edu.my/id/eprint/28707/1/The%20utility%20of%20wavelet%20transform%20in%20surface%20electromyography%20feature%20extraction.pdf
http://psasir.upm.edu.my/id/eprint/28707/
http://waset.org/publications/2502/the-utility-of-wavelet-transform-in-surface-electromyography-feature-extraction-a-comparative-study-of-different-mother-wavelets
_version_ 1643829544651587584
score 13.211869

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