A Rehabilitation Robot Arm Based on Electromyographic

A sEMG analysis method based on neural network is proposed, which is applied to the control of rehabilitation robot arm. In this study, the sEMG acquisition system is designed to amplify and filter the original sEMG signal, the output signal are converted into digital signal by the NI acquisition card and sent to computer, and the data are analysed and patterned. Finally, the results are employed to control the rehabilitation robot arm. Experiments show that the proposed method can reduce the training time, overcome the lack of traditional EMG prosthetic control, and easily to be used. Rehabilitation patients can directly choose a variety of different limb movements with multi-degree of freedom of the arm control.