Objective To provide myoelectric signal of electronic artificial limb via examination and assessment of the myoelectric signals given by upper extremity muscles in light contraction.

Classifying myoelectric signals using hidden Markov model and support vector machine to process myoelectric signals, with the task of discrimination five classes of multifunction prosthesis movement.

Result The software is capable of making realtime acquisition and display of four channels of myoelectric potential signals and one channel of operation signal synchronously.