Adaptive Myoelectric Pattern Recognition Based on Hybrid Spatial Features of HD-sEMG Signals
Volume: 45, Issue: 1, Pages: 183 - 194
Published: Jun 17, 2020
Abstract
Myoelectric pattern recognition is a useful tool for identifying the user’s intended motion. However, the inherent nonstationary properties of Electromyography (EMG) signals usually limited the use of real time commercial prostheses. These variations cause the degradation of myoelectric control performance and make it unstable over time, across subjects and sessions. In this study, this challenge is overcome by combining the use of robust...
Paper Details
Title
Adaptive Myoelectric Pattern Recognition Based on Hybrid Spatial Features of HD-sEMG Signals
Published Date
Jun 17, 2020
Volume
45
Issue
1
Pages
183 - 194
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