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An efficient approach for physical actions classification using surface EMG signals
Physical actions classification of surface electromyography (sEMG) signal is required in applications like prosthesis, and robotic control etc. In this paper, tunable-Q factor wavelet transform (TQWT) based algorithm is proposed for the classification of physical actions such as clapping, hugging, b...
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| Pubblicato in: | Health Inf Sci Syst |
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| Autori principali: | , , |
| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Springer International Publishing
2019
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC6928184/ https://ncbi.nlm.nih.gov/pubmed/31915522 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1007/s13755-019-0092-2 |
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