The invention discloses a method for preprocessing and recognizing EEG signals of epileptics based on artificial intelligence, and relates to the technical field of brain science and epileptic seizureclinical data identification. The method includes collecting the EEG signals of the epileptics and preprocessing the EEG signals; performing time-frequency analysis on the preprocessed signals to extract time-frequency characteristics and extracting statistical characteristics of the noise-free EEG signals at the same time; then constructing a random forest identification model to perform a pattern recognition test on the EEG signals of the epileptics in different degrees of disease. A characteristic extraction method can simplify the calculation process and improve the EEG signal recognitionaccuracy and effectiveness. Due to the high degree of parallelization of a random forest identification method, the operation efficiency is improved, the function of automatically recognizing the EEGsignals of the epileptics by a computer is achieved, and the method provides technical support for the demanding diagnosis of medical workers.
Method for preprocessing and recognizing EEG signals of epileptics based on artificial intelligence