The Comparison of Wavelet and Empirical Mode Decomposition Method in Prediction of Sleep Stages from EEG Signals

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dc.contributor.authorPolat, Hasan
dc.contributor.authorAkin, Mehmet
dc.contributor.authorOzerdem, Mehmet Sirac
dc.date.accessioned2024-04-24T17:38:16Z
dc.date.available2024-04-24T17:38:16Z
dc.date.issued2017
dc.departmentDicle Üniversitesien_US
dc.description2017 International Artificial Intelligence and Data Processing Symposium (IDAP) -- SEP 16-17, 2017 -- Malatya, TURKEYen_US
dc.description.abstractThe aim of this study was to detect sleep stages of human by using EEG signals. In accordance with this purpose, discrete wavelet transforms (DWT) and empirical mode decomposition (EMD) were separately used for feature extraction. Subcomponents of EEG signals obtained by the two methods were assumed as feature vectors. Statistical parameters were used to reduce dimension of feature vectors. The same statistical parameters were used to compare performance of methods related to DWT and EMD. K nearest neighborhood (kNN) algorithm was used in classification final feature vectors that obtained EEG segments related to different sleep stages. The classification accuracies for feature vectors based on DWT and EMD were obtained as 100% and 88.13%, respectively.en_US
dc.description.sponsorshipIEEE Turkey Sect,Anatolian Scien_US
dc.identifier.isbn978-1-5386-1880-6
dc.identifier.scopus2-s2.0-85039908657
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://hdl.handle.net/11468/21389
dc.identifier.wosWOS:000426868700093
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2017 International Artificial Intelligence and Data Processing Symposium (Idap)
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectEegen_US
dc.subjectClassificationen_US
dc.subjectEmpirical Mode Decompositionen_US
dc.subjectDiscrete Wavelet Transformen_US
dc.titleThe Comparison of Wavelet and Empirical Mode Decomposition Method in Prediction of Sleep Stages from EEG Signalsen_US
dc.titleThe Comparison of Wavelet and Empirical Mode Decomposition Method in Prediction of Sleep Stages from EEG Signals
dc.typeConference Objecten_US

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