EMG feature assessment for myoelectric pattern recognition and channel selection: A study with incomplete spinal cord injury

Volume: 36, Issue: 7, Pages: 975 - 980
Published: Jul 1, 2014
Abstract
Myoelectric pattern recognition with a large number of electromyogram (EMG) channels provides an approach to assessing motor control information available from the recorded muscles. In order to develop a practical myoelectric control system, a feature dependent channel reduction method was developed in this study to determine a small number of EMG channels for myoelectric pattern recognition analysis. The method selects appropriate raw EMG...
Paper Details
Title
EMG feature assessment for myoelectric pattern recognition and channel selection: A study with incomplete spinal cord injury
Published Date
Jul 1, 2014
Volume
36
Issue
7
Pages
975 - 980
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