Paper Title
ICTAL AND PREICTAL SEIZURE PHASE DETECTION WITH EEG SIGNALS USING COLEEG OPEN-SOURCE SOFTWARE

Abstract
Seizures are complex neurological events that often have different phases. Understanding these phases is important for diagnosis and treatment of epilepsy. The three main phases of a seizure are ictal, preictal, and interictal. The preictal phase refers to the period of time before the onset of a seizure, where individuals may experience alterations in mood, anxiety, or irritability. The preictal phase's duration varies among individuals and can range from minutes to hours. The ictal phase is the actual occurrence of the seizure, characterized by abnormal electrical activity in the brain, and it lasts from seconds to a few minutes. The interictal phase is the period between seizures when the brain's electrical activity returns to its normal baseline, and it can last from minutes to days, weeks, or longer. In this paper, an automatic preictal and ictal phase detection system using electroencephalogram (EEG) signals is proposed. Coleeg open-source software and CHB-MIT Scalp EEG dataset are used in the implementation of this system. Coleeg is open-source software that aims to provide a unified and open environment for using neural networks in the classification of EEG signal with support of different datasets and neural network models. Keywords - Seizure detection, Ictal, Preictal, Interictal, Coleeg, EEG, Open-Source