A Subject-Transfer Framework Based on Single-Trial EMG Analysis Using Convolutional Neural Networks

In recent years, electromyography (EMG)-based practical myoelectric interfaces have been developed to improve the quality of daily life for people with physical disabilities. With these interfaces, it is very important to decode a user's movement intention, to properly control the external devi...

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Veröffentlicht in:	IEEE transactions on neural systems and rehabilitation engineering Jg. 28; H. 1; S. 94 - 103
Hauptverfasser:	Kim, Keun-Tae, Guan, Cuntai, Lee, Seong-Whan
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Artificial neural networks Classifiers convolutional neural networks Disabilities Electrodes Electromyography Feature extraction Interfaces myoelectric interfaces Myoelectricity Neural networks Pattern recognition Spectrogram Subject-transfer framework Support vector machines
ISSN:	1534-4320, 1558-0210, 1558-0210
Online-Zugang:	Volltext
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