Epileptic Seizure Detection from EEG Signals by Using Wavelet and Hilbert Transform

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dc.contributor.authorPolat, Hasan
dc.contributor.authorOzerdem, Mehmet Sirac
dc.date.accessioned2024-04-24T17:33:48Z
dc.date.available2024-04-24T17:33:48Z
dc.date.issued2016
dc.departmentDicle Üniversitesien_US
dc.description12th International Conference on Perspective Technologies and Methods in MEMS Design (MEMSTECH) -- APR 20-24, 2016 -- Lviv, UKRAINEen_US
dc.description.abstractIn this study, EEG signals recorded from healthy individuals and EEG signals recorded from epileptic patients during epileptic seizures were classified. In the classification process, the Hilbert and wavelet transform were applied separately for the extraction of features from the EEG signals. The same statistical parameters were used in order to reduce the size of the feature vectors obtained via both approaches. K-nearest neighborhood (kNN) was used as classification algorithm. The obtained feature vector based on wavelet and Hilbert transform were classified separately via the kNN algorithm.en_US
dc.description.sponsorshipIEEE,IEEE Ukraine Sect,Lviv Polytechn Natl Univ, Minist Educ & Sci Ukraineen_US
dc.identifier.endpage69en_US
dc.identifier.isbn978-617-607-913-2
dc.identifier.scopus2-s2.0-84981278229
dc.identifier.scopusqualityN/A
dc.identifier.startpage66en_US
dc.identifier.urihttps://hdl.handle.net/11468/20847
dc.identifier.wosWOS:000389271200017
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 Xii International Conference on Perspective Technologies and Methods in Mems Design (Memstech)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEegen_US
dc.subjectEpilepsyen_US
dc.subjectClassificationen_US
dc.subjectWavelet Transfomen_US
dc.subjectK-Nearest Neighborhooden_US
dc.titleEpileptic Seizure Detection from EEG Signals by Using Wavelet and Hilbert Transformen_US
dc.titleEpileptic Seizure Detection from EEG Signals by Using Wavelet and Hilbert Transform
dc.typeConference Objecten_US

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