Abstract: Objectives: To develop a software tool that automatically classifies EEG (Electroencephalogram) data in one of four classes: inter-ictal (normal EEG pattern); pre-ictal (two minutes prior to the seizure onset); ictal (the seizure onset); pos-ictal (two minutes subsequent to seizure end). A typical epileptic seizure event is characterized by a cycle of those four stages. Outputs: The data used in this investigation has been collected from the epilepsy database of Freiburg Center for Data Analysis and Modeling (FDM) of Albert Ludwigs University o...
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