Complex Network Analysis of EEG Signals of Epilepsy Patients

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dc.contributor.authorOlgun, N.
dc.contributor.authorÖzkaynak, E.
dc.date.accessioned2024-09-29T16:16:40Z
dc.date.available2024-09-29T16:16:40Z
dc.date.issued2024
dc.departmentKarabük Üniversitesien_US
dc.descriptionBerdan Civata B.C.; et al.; Figes; Koluman; Loodos; Tarsus Universityen_US
dc.description32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 -- 15 May 2024 through 18 May 2024 -- Mersin -- 201235en_US
dc.description.abstractElectroencephalography (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.en_US
dc.identifier.doi10.1109/SIU61531.2024.10600946
dc.identifier.isbn979-835038896-1
dc.identifier.scopus2-s2.0-85200864053en_US
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://doi.org/10.1109/SIU61531.2024.10600946
dc.identifier.urihttps://hdl.handle.net/20.500.14619/9254
dc.indekslendigikaynakScopusen_US
dc.language.isotren_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof32nd IEEE Conference on Signal Processing and Communications Applications, SIU 2024 - Proceedingsen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectcomplex networksen_US
dc.subjectdata miningen_US
dc.subjecttime seriesen_US
dc.titleComplex Network Analysis of EEG Signals of Epilepsy Patientsen_US
dc.title.alternativeEpilepsi Hastalarına Ait EEG Sinyallerinin Karmaşık Ağ Analizien_US
dc.typeConference Objecten_US

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