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...

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Veröffentlicht in:	Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference Jg. 2018; S. 5652 - 5655
Hauptverfasser:	Lv, Bo, Sheng, Xinjun, Zhu, Xiangyang
Format:	Tagungsbericht Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.07.2018
Schlagworte:	Electrodes Electromyography Error analysis Feature extraction Muscles Pattern recognition Wrist
ISSN:	1557-170X, 2694-0604, 1558-4615, 2694-0604
Online-Zugang:	Volltext
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