Abstract
It is important to understand the control system of human movement when we develop robot manipulators or prosthesis devices. Although Hill type muscle models have been widely used for its simplicity, there are some limitations in the model when we calculate nonlinear behavior such as shortening-induced force depression. Then we used a systematic motor model that has a controller based on the chemical scheme of myosin cross-bridges. Surface electromyography (SEMG) is usually deformed by interference among the signals from different motor units (MUs). In order to obtain the artificial action potential pulses as an input of the muscle model, it is necessary to estimate each MU activation. In this study, we applied a 4-channel SEMG circuit to measure the muscle activity of human biceps brachii accurately.
