The invention discloses a brain wave analysis method and device. The endogenous feature change of the brain wave signal is decomposed based on a nonlinear waveform decomposition technology, the modulation signal of each separated component is extracted by means of demodulation calculation, the modulation signal includes a frequency modulation component and an amplitude modulation component, whether the extracted modulation signal is subjected to further signal component decomposition and demodulation is decided by referring to feature masking, if not, a multi-dimension change representing the brain wave endogenous feature is obtained on the basis of the feature masking, and furthermore the brain function active state is obtained through quantum calculation and classification judgment calculation. According to the invention, the distinguishing accuracy can be effectively improved, and the calculation complexity and the calculation amount can be greatly reduced by means of the feature masking effect.
Brain wave analysis method and device