Abstract: In order to solve the problem of hand function rehabilitation, a hand function rehabilitation platform system based on sensory stimulation of the finger was designed for rehabilitation doctors to manually stimulate patients to relieve spasm. The system was divided into three parts: rehabilitation training device, lower computer control system, and upper computer control software. In order to treat patients with different degrees of hand dysfunction, three training modes were set up according to different pressing forces. Based on the surface electromyogram (sEMG) signal, a quantitative method was designed to evaluate the rehabilitation effect of hand function by recognizing the patient's finger extension gestures. Finally, through the experimental test of the prototype, it is proved that the hand function rehabilitation system can replace the doctor for hand stimulation training and quantitative evaluation of the rehabilitation effect, which greatly improves the precision and efficiency of pressing stimulation. The results can provide an effective rehabilitation training device for the rehabilitation of hand function.
Keywords: hand function rehabilitation; electromyogram signal; biological characteristics; gesture recognition; system evaluation
合肥工业大学学报自科版