Seizure prediction using EEG spatiotemporal correlation structure

► A novel multivariate EEG feature extraction technique is introduced. ► Features are components of spatiotemporal correlation structure with the most variation. ► Features are combined with patient-specific machine learning for seizure prediction. ► Superior seizure prediction results are obtained on the Freiburg EEG database.