A new approach for diagnosing epilepsy by using wavelet transform and neural networks

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dc.contributor.authorAkin, M
dc.contributor.authorArserim, MA
dc.contributor.authorKiymik, MK
dc.contributor.authorTurkoglu, I
dc.date.accessioned2024-04-24T17:11:22Z
dc.date.available2024-04-24T17:11:22Z
dc.date.issued2001
dc.departmentDicle Üniversitesien_US
dc.description23rd Annual International Conference of the IEEE-Engineering-in-Medicine-and-Biology-Society -- OCT 25-28, 2001 -- ISTANBUL, TURKEYen_US
dc.description.abstractToday, epilepsy keeps its importance as a major brain disorder. However, although some devices such as magnetic resonance (MR), brain tomography (BT) are used to diagnose the structural disorders of brain, for observing some special illnesses especially such as epilepsy, EEG is routinely used for observing the epileptic seizures, in neurology clinics. In our study, we aimed to classify the EEG signals and diagnose the epileptic seizures directly by using wavelet transform and an artificial neural network model. EEG signals are separated into delta, theta, alpha, and beta spectral components by using wavelet transform. These spectral components are applied to the inputs of the neural network. Then, neural network is trained to give three outputs to signify the health situation of the patients Keywords: wavelet, neural network, epilepsy, EEG.en_US
dc.description.sponsorshipNatl Sci Fdn,TUBITAK, Sci & Tech Res Ctr Turkey,ISIK Univ,COMNET,EREL Techno Grp,GUZEL SANATLAR Printinghouse,JOHNSON&JOHNSON Med,PFIZER,SIEMENS Med,TURKCELL Iletism Hizmetler A S,ALSTOM Elect Ltd Co,GANTEK Technol & SUN Microsyst,TURCOM Co Grpen_US
dc.identifier.doi10.1109/IEMBS.2001.1020517
dc.identifier.endpage1599en_US
dc.identifier.isbn0-7803-7211-5
dc.identifier.issn1094-687X
dc.identifier.scopus2-s2.0-33745887613
dc.identifier.scopusqualityN/A
dc.identifier.startpage1596en_US
dc.identifier.urihttps://doi.org/10.1109/IEMBS.2001.1020517
dc.identifier.urihttps://hdl.handle.net/11468/17451
dc.identifier.volume23en_US
dc.identifier.wosWOS:000178871900443
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartofProceedings of The 23rd Annual International Conference of The Ieee Engineering in Medicine and Biology Society, Vols 1-4: Building New Bridges At The Frontiers of Engineering and Medicine
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectWaveleten_US
dc.subjectNeural Networken_US
dc.subjectEpilepsyen_US
dc.subjectEegen_US
dc.titleA new approach for diagnosing epilepsy by using wavelet transform and neural networksen_US
dc.titleA new approach for diagnosing epilepsy by using wavelet transform and neural networks
dc.typeConference Objecten_US

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