Improving Myoelectric Pattern Recognition Robustness to Electrode Shift by Autoencoder
It is evident that the electrode shift will result in a degradation of myoelectric pattern recognition classification accuracy, which is inevitable during the prosthetic socket donning and doffing. To cope with this limitation, we propose an unsupervised feature extraction method called sparse autoe...
Uložené v:
| Vydané v: | Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Ročník 2018; s. 5652 - 5655 |
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| Hlavní autori: | , , |
| Médium: | Konferenčný príspevok.. Journal Article |
| Jazyk: | English |
| Vydavateľské údaje: |
United States
IEEE
01.07.2018
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| Predmet: | |
| ISSN: | 1557-170X, 2694-0604, 1558-4615, 2694-0604 |
| On-line prístup: | Získať plný text |
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