A feedback system based on a motor imagery brain-computer interface. The feedback system comprises: a feedback module (1), an electroencephalogram collector (2), a wireless transmission module (3) and a terminal device (4), wherein the feedback module (1) is used for compiling a feedback interface; the electroencephalogram collector (2) is used for collecting a motion-related lead electroencephalogram signal; the electroencephalogram signal is detected by a scalp electrode, is amplified and filtered through the electroencephalogram collector (2), and then is transmitted by the wireless transmission module (3) to the terminal device (4); and the terminal device (4) is used for performing data processing on the electroencephalogram signal to extract a motor imagery characteristic signal, wherein the motor imagery characteristic signal is used for forming a visual feedback after pattern recognition to control the feedback interface, thereby constituting a closed-loop control system. The system better conforms to a normal thinking and action control process and is close to a practical interaction application, and is expected to provide a key technical guarantee for a novel MI-BCI.
FEEDBACK SYSTEM BASED ON MOTOR IMAGERY BRAIN-COMPUTER INTERFACE