Diagnosis of Epilepsy from Electroencephalography Signals Using Multilayer Perceptron and Elman Artificial Neural Networks and Wavelet Transform

Basit Öğe Kaydı
dc.contributor.authorIsik, Hakan
dc.contributor.authorSezer, Esma
dc.date.accessioned2020-03-26T18:24:50Z
dc.date.available2020-03-26T18:24:50Z
dc.date.issued2012
dc.departmentSelçuk Üniversitesien_US
dc.description.abstractIn this study, it has been intended to perform an automatic classification of Electroencephalography (EEG) signals via Artificial Neural Networks (ANN) and to investigate these signals using Wavelet Transform (WT) for diagnosing epilepsy syndrome. EEG signals have been decomposed into frequency sub-bands using WT and a set of feature vectors which were extracted from the sub-bands. Dimensions of these feature vectors have been reduced via Principal Component Analysis (PCA) method and then classified as epileptic or healthy using Multilayer Perceptron (MLP) and ELMAN ANN. Performance evaluation of the used ANN models have been carried out by performing Receiver Operation Characteristic (ROC) analysis.en_US
dc.identifier.doi10.1007/s10916-010-9440-0en_US
dc.identifier.endpage13en_US
dc.identifier.issn0148-5598en_US
dc.identifier.issue1en_US
dc.identifier.pmid20703754en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://dx.doi.org/10.1007/s10916-010-9440-0
dc.identifier.urihttps://hdl.handle.net/20.500.12395/27914
dc.identifier.volume36en_US
dc.identifier.wosWOS:000303823600001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.language.isoenen_US
dc.publisherSPRINGERen_US
dc.relation.ispartofJOURNAL OF MEDICAL SYSTEMSen_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.selcuk20240510_oaigen_US
dc.subjectEpilepsyen_US
dc.subjectElectroencephalographyen_US
dc.subjectSignal processingen_US
dc.subjectWavelet transformen_US
dc.subjectArtificial neural networksen_US
dc.subjectReceiver operation characteristic analysisen_US
dc.subjectMultilayer perceptronen_US
dc.subjectElman networken_US
dc.subjectPrincipal component analysisen_US
dc.titleDiagnosis of Epilepsy from Electroencephalography Signals Using Multilayer Perceptron and Elman Artificial Neural Networks and Wavelet Transformen_US
dc.typeArticleen_US

Dosyalar

Koleksiyon

WoS İndeksli Yayınlar Koleksiyonu
PubMed İndeksli Yayın Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu