Myoelectric signal processing for control of prosthetic devices

Abstract

Myoelectric signal processing techniques, used as the basis for control of a multiple-axis upper limb prosthesis, have been exceptional in providing the amputee with natural control of motion without the need for training. The approach rests on the electronic recognition of normal muscle synergies in the stabilizing musculature of the shoulder, chest, and back, in order to control the motors of the prosthesis when performing the intended motions. Observations were made of the variability and repeatability of the myoelectric patterns; the appropriate signal processing parameters were determined, and a laboratory prostheses was fabricated and tested.