The invention relates to an attention rehabilitation training and evaluation method based on spectral entropy. The method comprises the step S1 of collecting an EEG related potential of a rehabilitation training object to a simple speech attention task and preprocessing the EEG data; the step S2 of calculating the power spectral density of the preprocessed EEG data; the step S3 of calculating thespectral entropy value; the step S4 of utilizing a support vector machine to train attention EEG signals in the rehabilitation training with the spectral entropy value as the characteristic to obtaina classification model; the step S5 of collecting the resting state data before training of the rehabilitation training object; the step S6 of conducting rehabilitation training on the rehabilitationtraining object to classify the EEG data during the rehabilitation training process in real time; the step S7 of feeding back based on a real-time classification result and giving corresponding prompts to help pay attention; the step S8 of collecting the resting state data after the training of the rehabilitation training object; the step S9 of judging the rehabilitation training effect accordingto the change of the spectral entropy value collected by the resting state data before and after the training.