Review of epileptic EEG feature extraction methods

Abstract

Epilepsy is a typical non-contagious chronic disease of the brain. Electroencephalogram (EEG) is an important tool for clinical epilepsy diagnosis, so the use of machine learning and deep learning models to diagnose and treat epilepsy has become a popular method, of which epilepsy EEG feature extraction is the basis for establishing a model. In this paper, several methods of epilepsy EEG feature extraction are summarized from four aspects: time domain analysis, frequency domain analysis, time frequency analysis and nonlinear dynamics, and each method is systematically summarized.