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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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| 發表在: | Health Inf Sci Syst |
|---|---|
| Main Authors: | , , |
| 格式: | Artigo |
| 語言: | Inglês |
| 出版: |
Springer International Publishing
2019
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| 主題: | |
| 在線閱讀: | 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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