Improving transient state myoelectric signal recognition in hand movement classification using gyroscopes
EMBC 2013
Volume: 2013, Pages: 6035 - 6038
Published: Jul 3, 2013
Abstract
Pattern recognition of myoelectric signals in upper-limb prosthesis control has been subject to intense research for several years. However, few systems have yet been successfully clinically implemented. One possible explanation for this discrepancy is that published reports mostly focus on classification accuracy of myoelectric signals recorded under laboratory conditions as the metric for the system's performance. These data are usually...
Paper Details
Title
Improving transient state myoelectric signal recognition in hand movement classification using gyroscopes
Published Date
Jul 3, 2013
Volume
2013
Pages
6035 - 6038
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