Fig. 2
From: Machine learning applications for electroencephalograph signals in epilepsy: a quick review
General steps for EEG processing. “Feature extraction” is referred to a straightforward data procession to draw hidden information of raw EEG signals from the available channels (frequency contents or spatial connectivity). Feature is divided into univariate features (e.g. spectral power) and bivariate feature (e.g. cross-correlation)