Estimation of muscle activation during ankle rehabilitation

With the widespread application of rehabilitation robots, surface electromyography (sEMG), as a non-invasive way, has become an effective tool to judge the activation state of the related muscles. The traditional muscle activation model is not accurate enough for the reason that the sEMG signals contain wealth of unknown information. To estimate the muscle activation state and to evaluate the effect of ankle rehabilitation training, the activation mean sample entropy is proposed in this paper which is modified by the sample entropy of the complexity of the expression sequence based on the traditional muscle activation model. The degree of muscle activation in the process of ankle rehabilitation training was evaluated by using a parallel ankle robotic system, and the accuracy of the index was verified by conducting experiments with a healthy subject.