부산대학교 도서관

We propose a novel visual electromyography biofeedback (EMG-BFB) system that encourages patients to relearn their internal models, which are said to exist in the cerebellum, by presenting the limb characteristics. These characteristics differ from themselves and are presented in a virtual reality (VR) space. Based on our previous research, we developed a system that calculates the angles of the human elbow joint using the agonist-antagonist ratio (AAR), which is an index of the equilibrium point calculated from EMG, with a time-invariant model, and then uses those values in the virtual upper limb (VL) in VR space. Furthermore, we confirmed the effectiveness of this system by analyzing the change in equilibrium point velocity.