Application of a self-enhancing classification method to electromyography pattern recognition for multifunctional prosthesis control
Abstract
The nonstationary property of electromyography (EMG) signals usually makes the pattern recognition (PR) based methods ineffective after some time in practical application for multinational prosthesis. The conventional EMG PR, which is accomplished in two separate steps: training and testing, ignores the mismatch between training and testing conditions and often discards the useful information in testing dataset.This paper presents a novel...
Paper Details
Title
Application of a self-enhancing classification method to electromyography pattern recognition for multifunctional prosthesis control
Published Date
May 1, 2013
Volume
10
Issue
1
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