The expectations for artificial upper-limbs have always been high because of their portrayal in popular media and comparisons with nondisabled dexterity. In the United States, approximately 30,000 persons have an above-elbow amputation and 60,000 have a below-elbow amputation. Only a small percentage of patients with an upper-limb amputation regularly use a prosthesis, mainly because of a perceived lack of function. This article describes the use of pattern recognition to enhance the dexterity of upper-limb prostheses and the current challenges in transferring this dexterity to commercial devices.
Volume 48 Number 6, 2011
Pages 643 — 660
Last Reviewed or Updated Monday, July 11, 2011 9:17 AM