Classification of multichannel surface-electromyography signals based on convolutional neural networks

Volume: 15, Pages: 201 - 206
Published: Sep 1, 2019
Abstract
Electromyography is a science that studies or detects bioelectrical activity of muscles to analyze skills and morphological changes of the neuromuscular system and contributes to studies on the neuromuscular system. Surface electromyography (SEMG) signal is a bioelectrical signal emitted when nervous and muscular activities are recorded from the surface of human skeletons by means of poles, which can reflect the functional state of nerves and...
Paper Details
Title
Classification of multichannel surface-electromyography signals based on convolutional neural networks
Published Date
Sep 1, 2019
Volume
15
Pages
201 - 206
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