A physiologically motivated ECoG segmentation method for epileptic seizure onset zone detection

In this paper we propose a novel segmentation method based on the relative frequency contributions of ictal multichannel ECoG data. Segments with predominant ϑ-activity are classified as epileptic. The seizure onset zone is determined by the temporal delay of the epileptic ϑ-activity (4-9Hz) on the different channels. We apply this methodology to three seizures of one patient suffering from focal epilepsy. The resulting segments reflect the visual characteristics of the ictal ECoG well. The seizure onset zone identified by the proposed method is in very good accordance with the clinical findings.