Publication:
Model Order Sensitivity of Burg Method for EEG Diagnosis

dc.authorscopusid24460465000
dc.contributor.authorAydın, S.
dc.date.accessioned2025-12-10T21:21:10Z
dc.date.issued2008
dc.departmentOndokuz Mayıs Üniversitesien_US
dc.department-temp[Aydın] Serap, Ondokuz Mayis Üniversitesi, Samsun, Turkeyen_US
dc.description.abstractIn the present study, eyes open and eyes closed EEG records of healthy volunteersa and intracrinal EEG records of epilepsy patiants are analysed by the Burg Method. The results of power spectral densities shows that clinical long EEG data correspondes with high order autoregressive (AR) model. The higher frequency resolution is obtained as empirically selected model order increases. High order for AR modeling provides us to more sensitive diagnose in EEG analysis. ©2008 IEEE.en_US
dc.identifier.doi10.1109/SIU.2008.4632553
dc.identifier.isbn9781424419999
dc.identifier.scopus2-s2.0-56449117872
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/SIU.2008.4632553
dc.identifier.urihttps://hdl.handle.net/20.500.12712/34647
dc.identifier.wosqualityN/A
dc.institutionauthorAydın, S.
dc.language.isotren_US
dc.relation.ispartof-- 2008 IEEE 16th Signal Processing, Communication and Applications Conference, SIUen_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.titleModel Order Sensitivity of Burg Method for EEG Diagnosisen_US
dc.title.alternativeEEG Tanisinda Burg Yönteminin Model Derecesi Hassasiyetien_US
dc.typeConference Objecten_US
dspace.entity.typePublication

Files