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Öğe Complex Network Analysis of EEG Signals of Epilepsy Patients(Institute of Electrical and Electronics Engineers Inc., 2024) Olgun, N.; Özkaynak, E.Electroencephalography (EEG) signals have significant potential for understanding brain dynamics and cognitive processes. Analyzing EEG signals using traditional methods often faces difficulties in revealing complex relationships between different brain regions. In this study, complex connection structures in EEG data of epilepsy patients were revealed and interpreted with the complex network theory, whose application area has expanded in recent years. The average degree, diameter, density, modularity and clustering coefficients of EEG signals of different epileptic conditions converted into complex networks were calculated. Differences between EEG signals were interpreted by interpreting the calculated metrics. Topological metrics obtained from EEG signals show that complex network theory is applicable in classifying epilepsy patients. © 2024 IEEE.
