Abstract—An electromyography signal that was taken from the surface of the stump-muscle of an amputee is used to control over the myoelectric prosthesis. We present a method of acquiring these signals over the surface of the skin by using a surface-EMG electrode connected to it. In this study, a five fingered prosthetic hand, actuated by five motors, one motor for each finger was used to simulate some of the hand action movements and assess its capability of giving control over each hand action movement. The study was concerned with the signal acquisition that controls the myoelectric prosthesis. ICA was applied to separate mutually independent components that are the result of surface electromyography signals which provided a promising method in the classification of hand action movement based on each level of muscle contraction. The study determined the pattern of each hand action based on the correlation between estimated percent Muscle Voluntary Contraction (%MVC) vs. degree of movement of the motor, and the correlation between the motor frequencies vs. the degree of movement of the motor.

Index Terms—electromyography, independent component analysis, percent muscle voluntary contraction, motor, microcontroller

Cite: Jose B. Lazaro Jr., Donabel D. Abuan, Noel B. Linsangan, and Ayra G. Panganiban, "Surface Electromyography Signal for Control of Myoelectric Prosthesis of the Upper-Limb Using Independent Component Analysis," Jounal of Automation and Control Engineering, Vol. 2, No. 1, pp. 94-98, March, 2014. doi: 10.12720/joace.2.1.94-98