A Virtual Induction Approach for EEG Signal of Patient Movement Intention with Lower Limb Motion Assisted Robot

For the problem that patients with lower limb motor dysfunction cannot generate strong exercise intention due to pain or other reasons during the rehabilitation exercise, which makes it difficult for precise control the lower limb motion assisted robot according to movement intention of patients. This paper analyzed the mechanism of virtual induction which can promote the generation of motion intention, established the virtual induction mechanism model, proposed a method to induce subjects to generate movement intention based on virtual reality (VR) technology and a lower extremity motion assisted exoskeleton robot system. The method established immersive virtual scenes that inspire the interest of subjects to induce and enhance their active movement intentions, produced electroencephalogram (EEG) signals with distinct characteristics. The experiment platform is established to perform experimental verification, and the EEG signals of subjects are collected as they move. The experimental results show that the method can effectively enhance active movement intention of subjects, it produced a stronger event-related desynchronization (ERD) phenomenon than without the virtual induction system, and the EEG signals generated have obvious characteristics after virtual induction. It lays the foundation for the movement intention perception of lower limb motion assisted robot and robot assistance control as subjects need.