Journal of Rehabilitation Research & Development (JRRD)

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

Ann M. Simon, PhD, et al.

Figure 1. Target Achievement Control Test (TAC Test). Subjects moved multi-functional virtual prosthesis into target posture. Virtual hand turned green when target was reached within acceptable tolerances (+/-5?? for each degree of freedom). Figure illustrates starting and ending posi-tions for successful trials. (a) Example trial from conditions 1 and 2 requiring one motion to reach target posture (e.g., wrist flexion).(b) Example trial from condition 3 requiring three motions to reach target posture (e.g., wrist flexion, wrist supination, and hand close).

Individuals with upper-limb amputations may currently use artificial limbs controlled with signals from their residual muscles. Pattern recognition, one type of advanced control, uses the patterns produced by several muscles to control prosthesis movements. This article describes a new way to test this control by using a virtual environment performance test called the Target Achievement Control Test. During this test, we asked five individuals with a below-elbow amputation to move a virtual arm into a target posture. The results of the study demonstrated that this new test can be useful in measuring individuals' control without the initial need for a physical prosthesis.

Volume 48 Number 6, 2011
   Pages 619 — 628

View HTML  ¦  View PDF  ¦  Contents Vol. 48, No. 6
This article and any supplementary material should be cited as follows:
Simon AM, Hargrove LJ, Lock BA, Kuiken TA. Target Achievement Control Test: Evaluating real-time myoelectric pattern recognition control of multifunctional upper-limb prostheses. J Rehabil Res Dev. 2011;48(6): 619-28.

Last Reviewed or Updated  Monday, July 11, 2011 9:19 AM

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