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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| Date: | 2015 |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Інститут фізіології ім. О.О. Богомольця НАН України
2015
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| Series: | Нейрофизиология |
| Online Access: | http://dspace.nbuv.gov.ua/handle/123456789/148211 |
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| Journal Title: | Digital Library of Periodicals of National Academy of Sciences of Ukraine |
| Cite this: | 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. |