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...

Full description

Saved in:

Bibliographic Details
Published in:	IEEE transactions on neural systems and rehabilitation engineering Vol. 33; pp. 1026 - 1037
Main Authors:	Deng, Hanjie, Wei, Zhikai, Hu, Xuhui, Zeng, Hong, Song, Aiguo, Zhang, Dingguo, Farina, Dario
Format:	Journal Article
Language:	English
Published:	United States IEEE 2025
Subjects:	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
Online Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!