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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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| Publicado en: | Health Inf Sci Syst |
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| Autores principales: | , , |
| Formato: | Artigo |
| Lenguaje: | Inglês |
| Publicado: |
Springer International Publishing
2019
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| Materias: | |
| Acceso en línea: | 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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