Disclosed are a brain-computer interface method and system based on real-time closed-loop vibration stimulation enhancement. The method comprises: displaying and providing a motor imagery task for a subject, and collecting a generated digital electroencephalogram signal; reading the digital electroencephalogram signal and determining whether a pre-set time period is exceeded, and if so, performing capturing, otherwise continuing to perform reading; performing band-pass filtering, using the fast Fourier transform to calculate and obtain a time-frequency feature of the digital electroencephalogram signal, and extracting a frequency value with the highest frequency energy to serve as a main frequency; using the Hilbert transform to calculate and obtain an instantaneous phase of the digital electroencephalogram signal; respectively taking the main frequency and the instantaneous phase as the frequency and initial phase of a sine wave, generating a predicted sine wave, and predicting and acquiring real-time phase information; and determining whether the phase is located in a phase interval where vibration stimulation is applied, generating and outputting a control instruction, and controlling, according to the control instruction, a vibration motor to vibrate to stimulate a sensory channel of the subject. The present invention improves the signal-to-noise ratio of a brain-computer interface system, and increases the recognition rate of a motor imagery signal.
BRAIN-COMPUTER INTERFACE METHOD AND SYSTEM BASED ON REAL-TIME CLOSED-LOOP VIBRATION STIMULATION ENHANCEMENT