Original paper
A strategy for minimizing the effect of misclassifications during real time pattern recognition myoelectric control
Published: Sep 1, 2009
Abstract
Pattern recognition myoelectric control in combination with targeted muscle reinnervation (TMR) may provide better real-time control of upper limb prostheses. Current pattern recognition algorithms can classify movements with an off-line accuracy of ~95%. When amputees use these systems to control prostheses, motion misclassifications may hinder their performance. This study investigated the use of a decision based velocity profile that limited...
Paper Details
Title
A strategy for minimizing the effect of misclassifications during real time pattern recognition myoelectric control
Published Date
Sep 1, 2009
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History