Wavelet Transform-Based Classification of ElectroMyogram Signals Using an ANOVA Technique
Wavelet analysis of surface electromyogram (sEMG) signals has been investigated. Methods to remove noise before processing and further analysis are rather significant for these signals. The sEMG signals were estimated with the following steps, first, the obtained signal was decomposed using wavel...
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| Datum: | 2015 |
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| 1. Verfasser: | |
| Format: | Artikel |
| Sprache: | English |
| Veröffentlicht: |
Інститут фізіології ім. О.О. Богомольця НАН України
2015
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| Schriftenreihe: | Нейрофизиология |
| Online Zugang: | http://dspace.nbuv.gov.ua/handle/123456789/148211 |
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| Назва журналу: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Zitieren: | Wavelet Transform-Based Classification of ElectroMyogram Signals Using an ANOVA Technique / V. Karan // Нейрофизиология. — 2015. — Т. 47, № 4. — С. 356-363. — Бібліогр.: 18 назв. — англ. |
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