Hybrid Rehabilitation System with Motion Estimation Based on EMG Signals

Abstract

In this paper, the authors propose a method for rehabilitation support in accordance with the patient’s motor intention based on the control of the robot assist and functional electrical stimulation (FES). Motion estimation is performed with a probabilistic neural network by input feature patterns extracted from electromyograms (EMGs). The subject’s motions are controlled and assisted by the developed assist robot and FES control. The experimental results showed that the effective training can be realized by the proposed system, and the system has the potential to provide effective rehabilitation.