Artificial hand using myoelectric signal.
Prosthesis is an artificial extension that replaces a missing body part. Prostheses are typically used to replace parts lost by injury or missing from birth or to supplement defective body parts. One of the main requirements of artificial arm is that functionally, it should be as near to the natural hand as possible. Various designs of artificial arm are available in the market, categorized as mechanical, electrical and Myo-electric arm. Myo-Electric arm is stimulated by muscle signal available from the stump of amputee. In this method the MES signals are picked from the surface and the time domain features associated with the intended motion are extracted using suitable technique. The intended action of the arm is understood from the EMG signal parameters which are obtained by using defined circuit The pulses are generated by using microcontroller and the respective motor is driven for movements of the hands and wrist, viz . hand open, hand close, wrist flexion, wrist extension etc. In this research the authors used proportional myoelectric control of a one-dimensional virtual object to investigate differences in efferent control between the proximal and distal muscles of the upper limbs. Restricted movement was allowed while recording EMG signals from elbow or wrist flexors/extensors during isometric contractions. The signals recorded by the surface electrodes are sufficient to control the movements of a virtual prosthesis. The presented method offers great potential for the development of future hand prostheses .