Abstract: A brain-computer aided analysis method for an aviation accident is provided. The method includes the steps of obtaining historical electroencephalogram (EEG) signals and historical psychological and physiological features of various pilots during flight to be recorded as first EEG signals and first features; training a feature recognition model by using the first EEG signals as an input and the first features as an output; inputting EEG signals of a pilot of an aviation accident aircraft into the feature recognition model, and outputting psychological and physiological features of the pilot of the aviation accident aircraft to be recorded as second features; determining whether the second features are abnormal or not according to the historical psychological and physiological features of the pilot of the aviation accident aircraft and the first features.