Automatic removal of ocular artefacts in EEG signal by using independent component analysis and Chauvenet criterion

Basit Öğe Kaydı
dc.contributor.authorÇinar, Salim
dc.contributor.authorAcir, Nurettin
dc.date.accessioned2026-02-12T21:02:48Z
dc.date.available2026-02-12T21:02:48Z
dc.date.issued2017
dc.departmentBursa Teknik Üniversitesi
dc.description2016 Medical Technologies National Conference, TIPTEKNO 2016 -- 2016-10-27 through 2016-10-29 -- Antalya -- 126633
dc.description.abstractEye movements (saccade, blink and etc.) 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 coefficients 0.943± 0.042 in the dataset. The results show that the porposed method effectively removes ocular artefacts in EEG. © 2016 IEEE.
dc.identifier.doi10.1109/TIPTEKNO.2016.7863103
dc.identifier.isbn9781509023868
dc.identifier.scopus2-s2.0-85016111773
dc.identifier.scopusqualityN/A
dc.identifier.urihttps://doi.org/10.1109/TIPTEKNO.2016.7863103
dc.identifier.urihttps://hdl.handle.net/20.500.12885/6530
dc.indekslendigikaynakScopus
dc.language.isotr
dc.publisherInstitute of Electrical and Electronics Engineers Inc.
dc.relation.ispartof2016 Medical Technologies National Conference, TIPTEKNO 2016
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanı
dc.snmzKA_Scopus_20260212
dc.subjectChauvenet criterion
dc.subjectICA
dc.subjectremoval of arefacts
dc.titleAutomatic removal of ocular artefacts in EEG signal by using independent component analysis and Chauvenet criterion
dc.title.alternativeBaglmslz bileşen analizi ve chauvenet kriteri kullanarak EEG sinyallerindeki oktiler artefaktlan otomatik yok etme
dc.typeConference Object

Dosyalar

Koleksiyon

Scopus İndeksli Yayınlar Koleksiyonu