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