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...

Full description

Bibliographic Details

Published in:	IEEE transactions on neural systems and rehabilitation engineering Vol. 28; no. 1; pp. 94 - 103
Main Authors:	Kim, Keun-Tae, Guan, Cuntai, Lee, Seong-Whan
Format:	Journal Article
Language:	English
Published:	United States IEEE 01.01.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subjects:	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 Access:	Get full text
Tags:	Add Tag No Tags, Be the first to tag this record!