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ABSTRACT: Context
Improving the function of prosthetic arms remains a challenge, because access to the neural-control information for the arm is lost during amputation. A surgical technique called targeted muscle reinnervation (TMR) transfers residual arm nerves to alternative muscle sites. After reinnervation, these target muscles produce electromyogram (EMG) signals on the surface of the skin that can be measured and used to control prosthetic arms.Objective
To assess the performance of patients with upper-limb amputation who had undergone TMR surgery, using a pattern-recognition algorithm to decode EMG signals and control prosthetic-arm motions.Design, setting, and participants
Study conducted between January 2007 and January 2008 at the Rehabilitation Institute of Chicago
SUBMITTER: Kuiken TA
PROVIDER: S-EPMC3036162 | biostudies-literature | 2009 Feb
REPOSITORIES: biostudies-literature