This invention belongs to the field of brain-computer interface technology, specifically a brain-computer interface-based intelligent interactive
rehabilitation training
system, including a brain-computer
signal acquisition unit, a
rehabilitation robot unit, a central
control unit, and a feedback sensing unit. This application uses the brain-computer
signal acquisition unit to realize the brain-computer interface and collect the patient's motor intentions. Subsequently, it controls the
rehabilitation robot unit to assist the patient in
rehabilitation exercise training. During the training process, the feedback sensing unit collects and provides feedback on the patient's motor and physiological states. This continuous output of brain intentions and motor feedback can effectively enhance the
activity level of the patient's
cerebral cortex, assisting the patient in accelerating rehabilitation until later stages of
rehabilitation training no longer require the assistance of the
rehabilitation robot, allowing the patient to autonomously control their lower limbs to complete training movements.