Online Unsupervised Adaptation of Latent Representation for Myoelectric Control During User-Decoder Co-Adaptation

Myoelectric control interfaces, which map electromyographic (EMG) signals into control commands for external devices, have applications in active prosthesis control. However, the statistical characteristics of EMG signals change over time (e.g., because of changes in the electrode location), which m...

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Vydané v:	IEEE transactions on neural systems and rehabilitation engineering Ročník 33; s. 1026 - 1037
Hlavní autori:	Deng, Hanjie, Wei, Zhikai, Hu, Xuhui, Zeng, Hong, Song, Aiguo, Zhang, Dingguo, Farina, Dario
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States IEEE 2025
Predmet:	Adult Algorithms Artificial Limbs Autoencoders Calibration decoder adaptation Decoding electrode shift Electrodes Electromyography Electromyography - methods Female Humans Male Manifolds Muscle, Skeletal - physiology Myoelectric control online manifold learning Online Systems Perturbation methods Reproducibility of Results Robot sensing systems Robustness Training unsupervised autoencoder Unsupervised Machine Learning User-Computer Interface
ISSN:	1534-4320, 1558-0210, 1558-0210
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