EMG‐Based Estimation of Limb Movement Using Deep Learning With Recurrent Convolutional Neural Networks
Abstract
A novel model based on deep learning is proposed to estimate kinematic information for myoelectric control from multi-channel electromyogram (EMG) signals. The neural information of limb movement is embedded in EMG signals that are influenced by all kinds of factors. In order to overcome the negative effects of variability in signals, the proposed model employs the deep architecture combining convolutional neural networks (CNNs) and recurrent...
Paper Details
Title
EMG‐Based Estimation of Limb Movement Using Deep Learning With Recurrent Convolutional Neural Networks
Published Date
Oct 25, 2017
Journal
Volume
42
Issue
5
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