ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS
A method of electromyogram signals processing and identification for implementation in rehabilitation devices control is given. The method is based on the high-frequency components filtration which improves the signal/noise ratio; also it is based on the wavelet analysis for signal preprocessing and...
| Main Authors: | , , |
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| Format: | Article |
| Language: | English |
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Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)
2013-01-01
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| Series: | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
| Subjects: | |
| Online Access: | http://openbooks.ifmo.ru/read_ntv/4049/4049.pdf |
| _version_ | 1811192261036212224 |
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| author | K. A. Zimenko A. S. Borgul A. A. Margun |
| author_facet | K. A. Zimenko A. S. Borgul A. A. Margun |
| author_sort | K. A. Zimenko |
| collection | DOAJ |
| description | A method of electromyogram signals processing and identification for implementation in rehabilitation devices control is given. The method is based on the high-frequency components filtration which improves the signal/noise ratio; also it is based on the wavelet analysis for signal preprocessing and motion type classification by taught artificial neural network. Obtained accuracy of motion type classification is 94%. |
| first_indexed | 2024-04-11T23:49:32Z |
| format | Article |
| id | doaj.art-25f65590475545b394f8c76577b1074b |
| institution | Directory Open Access Journal |
| issn | 2226-1494 2500-0373 |
| language | English |
| last_indexed | 2024-04-11T23:49:32Z |
| publishDate | 2013-01-01 |
| publisher | Saint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University) |
| record_format | Article |
| series | Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki |
| spelling | doaj.art-25f65590475545b394f8c76577b1074b2022-12-22T03:56:31ZengSaint Petersburg National Research University of Information Technologies, Mechanics and Optics (ITMO University)Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki2226-14942500-03732013-01-011314143ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALSK. A. ZimenkoA. S. BorgulA. A. MargunA method of electromyogram signals processing and identification for implementation in rehabilitation devices control is given. The method is based on the high-frequency components filtration which improves the signal/noise ratio; also it is based on the wavelet analysis for signal preprocessing and motion type classification by taught artificial neural network. Obtained accuracy of motion type classification is 94%.http://openbooks.ifmo.ru/read_ntv/4049/4049.pdfelectromyogramneural networksignal processingwavelet transform |
| spellingShingle | K. A. Zimenko A. S. Borgul A. A. Margun ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS Naučno-tehničeskij Vestnik Informacionnyh Tehnologij, Mehaniki i Optiki electromyogram neural network signal processing wavelet transform |
| title | ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS |
| title_full | ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS |
| title_fullStr | ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS |
| title_full_unstemmed | ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS |
| title_short | ANALYSIS AND PROCESSING OF ELECTROMYOGRAM SIGNALS |
| title_sort | analysis and processing of electromyogram signals |
| topic | electromyogram neural network signal processing wavelet transform |
| url | http://openbooks.ifmo.ru/read_ntv/4049/4049.pdf |
| work_keys_str_mv | AT kazimenko analysisandprocessingofelectromyogramsignals AT asborgul analysisandprocessingofelectromyogramsignals AT aamargun analysisandprocessingofelectromyogramsignals |