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dc.contributor.authorÜbeyli, Elif Derya-
dc.identifier.citation28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society -- AUG 30-SEP 03, 2006 -- New York, NYen_US
dc.description.abstractIn this study, a new approach based on the computation of fuzzy similarity index was presented for discrimination of electroencephalogram (EEG) signals. The EEG, a highly complex signal, is one of the most common sources of information used to study brain function and neurological disorders. The analyzed EEG signals were consisted of five sets (set A - healthy volunteer, eyes open; set B - healthy volunteer, eyes closed; set C - seizure-free intervals of five patients from hippocampal formation of opposite hemisphere; set D - seizure-free intervals of five patients from epileptogenic zone; set E - epileptic seizure segments). The EEG signals were considered as chaotic signals and this consideration was tested successfully by the computation of Lyapunov exponents. The computed Lyapunov exponents were used to represent the EEG signals. The aim of the study is discriminating the EEG signals by the combination of Lyapunov exponents and fuzzy similarity index. Toward achieving this aim, fuzzy sets were obtained from the feature sets (Lyapunov exponents) of the signals under study. The results demonstrated that the similarity between the fuzzy sets of the studied signals indicated the variabilities in the EEG signals. Thus, the fuzzy similarity index could discriminate the healthy EEG segments (sets A and 13) and the other three types of segments (sets C, D, and E) recorded from epileptic patients.en_US
dc.description.sponsorshipIEEE Engn Med & Biol Scien_US
dc.relation.ispartof2006 28Th Annual International Conference of The IEEE Engineering In Medicine And Biology Society, Vols 1-15en_US
dc.subjectfuzzy similarity indexen_US
dc.subjectchaotic signalen_US
dc.subjectelectroencephalogram (EEG) signalsen_US
dc.titleFuzzy similarity index for discrimination of EEG signalsen_US
dc.typeConference Objecten_US
dc.departmentFaculties, Faculty of Engineering, Department of Electrical and Electronics Engineeringen_US
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümütr_TR
dc.institutionauthorÜbeyli, Elif Derya-
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.relation.conference28th Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Societyen_US
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item.openairetypeConference Object-
Appears in Collections:Elektrik ve Elektronik Mühendisliği Bölümü / Department of Electrical & Electronics Engineering
PubMed İndeksli Yayınlar Koleksiyonu / PubMed Indexed Publications Collection
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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