Automatic Removal of Ocular Artefacts In EEG Signal by Using Independent Component Analysis and Chauvenet Criterion

dc.authorid0000-0003-1186-3058en_US
dc.contributor.authorCinar, Salim
dc.contributor.authorAcır, Nurettin
dc.date.accessioned2021-03-20T20:15:22Z
dc.date.available2021-03-20T20:15:22Z
dc.date.issued2017
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.descriptionMedical Technologies National Conference (TIPTEKNO) -- OCT 27-29, 2016 -- Antalya, TURKEYen_US
dc.description.abstractEye movements (saccade, blink and cause artefacts in Electroencephalogram recordings. The ocular artefact can distort the EEG signals. Removal of ocular artefact is important issue in EEG signal analysis. The main task of artefact removal algorithms is to obtain cleaned EEG without losing meaningful EEG signal. The main focus of this work is to remove ocular artefact automatically by using Independent Component Analysis and Chauvenet criterion. The method is tested on real dataset. Relative error and Correlation coefficient are used for the performance test. The performance of the proposed method was Relative error= 0.273 +/- 0.148, Correlation coefficient= 0.943 +/- 0.042 in the dataset. The results show that the porposed method effectively removes ocular artefacts in EEG.en_US
dc.identifier.isbn978-1-5090-2386-8
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/1186
dc.identifier.wosWOS:000455003600042en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorAcır, Nurettin
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2016 Medical Technologies National Conference (Tiptekno)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectICAen_US
dc.subjectremoval of arefactsen_US
dc.subjectChauvenet criterionen_US
dc.titleAutomatic Removal of Ocular Artefacts In EEG Signal by Using Independent Component Analysis and Chauvenet Criterionen_US
dc.typeConference Objecten_US

Dosyalar