Target achievement control test: Evaluating real-time myoelectric pattern-recognition control of multifunctional upper-limb prostheses

Research output: Contribution to journalArticle

112 Scopus citations

Abstract

Despite high classification accuracies (~95%) of myoelectric control systems based on pattern recognition, how well offline measures translate to real-time closed-loop control is unclear. Recently, a real-time virtual test analyzed how well subjects completed arm motions using a multiple-degree of freedom (DOF) classifier. Although this test provided real-time performance metrics, the required task was oversimplified: motion speeds were normalized and unintended movements were ignored. We included these considerations in a new, more challenging virtual test called the Target Achievement Control Test (TAC Test). Five subjects with transradial amputation attempted to move a virtual arm into a target posture using myoelectric pattern recognition, performing the test with various classifier (1- vs 3-DOF) and task complexities (one vs three required motions per posture). We found no significant difference in classification accuracy between the 1- and 3-DOF classifiers (97.2% +/- 2.0% and 94.1% +/- 3.1%, respectively; p = 0.14). Subjects completed 31% fewer trials in significantly more time using the 3-DOF classifier and took 3.6 +/- 0.8 timeslonger to reach a three-motion posture compared with a one-motion posture. These results highlight the need for closed-loop performance measures and demonstrate that the TAC Test is a useful and more challenging tool to test real-time pattern-recognitionperformance.

Original languageEnglish (US)
Pages (from-to)619-628
Number of pages10
JournalJournal of Rehabilitation Research and Development
Volume48
Issue number6
DOIs
StatePublished - Aug 1 2011

Keywords

  • Multifunctional prosthesis
  • Myoelectric control
  • Pattern recognition
  • Performance test
  • Proportional control
  • Prosthesis
  • Surface electromyography
  • Transradial amputation
  • Upper limb
  • Virtual environment

ASJC Scopus subject areas

  • Rehabilitation

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