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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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World Academy of Science, Engineering and Technology
2013
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| Online Access: | http://psasir.upm.edu.my/id/eprint/28707/1/The%20utility%20of%20wavelet%20transform%20in%20surface%20electromyography%20feature%20extraction.pdf |
| _version_ | 1825947368933031936 |
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| author | Mahdavi, Farzaneh Akhavan Ahmad, Siti Anom Marhaban, Mohammad Hamiruce Akbarzadeh Totonchi, Mohammad Reza |
| author_facet | Mahdavi, Farzaneh Akhavan Ahmad, Siti Anom Marhaban, Mohammad Hamiruce Akbarzadeh Totonchi, Mohammad Reza |
| author_sort | Mahdavi, Farzaneh Akhavan |
| collection | UPM |
| 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. |
| first_indexed | 2024-03-06T08:12:19Z |
| format | Article |
| id | upm.eprints-28707 |
| institution | Universiti Putra Malaysia |
| language | English |
| last_indexed | 2024-03-06T08:12:19Z |
| publishDate | 2013 |
| publisher | World Academy of Science, Engineering and Technology |
| record_format | dspace |
| spelling | 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 |
| 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 |
| title | 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_short | 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 |
| url | http://psasir.upm.edu.my/id/eprint/28707/1/The%20utility%20of%20wavelet%20transform%20in%20surface%20electromyography%20feature%20extraction.pdf |
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