On the surface electromyography sensor network of human ankle movement

This paper is concerned with studying human ankle movement based on surface electromyographic(sEMG) signals. The sEMG signals were collected from the lateral gastrocnemius(LA), medial gastrocnemius(MG), tibialis anterior(TA) and peroneus longus(PER) muscles of normal subjects when they moved their ankle flexion-extension. Four types of movement were designed including maximum voluntary contraction, bending/extending, going down, walking. The raw EMG signals were processed and analysis. The experimental results also showed that (1) The sEMG signals of TA and MG are profitable during movement of ankle joint, (2)There are some regularities of EMG signals in gait period. The characteristics of sEMG signals are favorable for using them for control purposes.