A method for gait rehabilitation training using EMG fatigue analysis

Although physical exercise of patients is very important for their quality of life, the guide line for physical movement considering muscle fatigue is not insufficient. In this study, we propose an easy detection algorithm for muscle fatigue estimation. EMG signals of five healthy volunteers were measured at the quadriceps femoris muscle and the tibialis anterio in order to estimate muscle fatigue. RMMV (ratio between maximum and minimum value) of median frequency components of EMG is proposed as a muscle fatigue parameter. With our proposed parameter, muscle fatigue state was detected easily. It is expected that our method could be used for a parameter that recommend exercise intensity during gait rehabilitation.