The Target Achievement Control Test: Evaluating real-time myoelectric pattern recognition control of a multifunctional upper-limb prosthesis

Despite high classification accuracies (~95%) of myoelectric control systems based on pattern recognition, it is unclear how well offline measures translate to real-time closed-loop control. Recently, a real-time virtual test analyzed how well subjects completed motions using a multiple–degree of fr...

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Bibliographic Details
Published in:J Rehabil Res Dev
Main Authors: Simon, Ann M., Hargrove, Levi J., Lock, Blair A., Kuiken, Todd A.
Format: Artigo
Language:Inglês
Published: 2011
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Article
Online Access:https://ncbi.nlm.nih.gov/pmc/articles/PMC4232230/
https://ncbi.nlm.nih.gov/pubmed/21938650
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