Observed shape detection from EEG time series

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dc.authorid0000-0001-5988-8882en_US
dc.contributor.authorAlobaidi, May
dc.contributor.authorDuru, Adil Deniz
dc.contributor.authorBayat, Oğuz
dc.date.accessioned2022-03-08T06:19:18Z
dc.date.available2022-03-08T06:19:18Z
dc.date.issued2021en_US
dc.departmentFakülteler, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.description.abstractBrain computer interface studies required recording of a physiological response of a subject to exhibit relevant information. This extracted information can be used to perform an action and the amount of the information plays a significant role in the determination of brain computer interface (BCI) performance. The use of improved experimental paradigms as well as measuring the brain responses using electroencephalogram (EEG) is the most common approach for the BCI studies. In this study, the classification of the ongoing brain activity occurring as response to the four shapes is managed and reported. We applied Fourier transform to obtain the frequency spectrum regarding the one second time series of each channel with a time overlap of 50% to the feature set of each stimulus type. Four machine learning classifiers are implemented, and in the concept of the classification, (delta, theta, alpha, beta, and gamma) band power values for one second period constituted the feature set, resulting in a total of 315 features. Among the four ML classifier Quadratic Discriminant 87.1% recorded the highest accuracy.en_US
dc.identifier.citationAlobaidi, M., Duru, A. D., & Bayat, O. (2021, November). Observed Shape Detection from EEG Time Series. In 2021 IEEE 19th Student Conference on Research and Development (SCOReD) (pp. 278-283). IEEE.en_US
dc.identifier.endpage283en_US
dc.identifier.scopus2-s2.0-85124420006
dc.identifier.scopusqualityN/A
dc.identifier.startpage278en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12939/2264
dc.identifier.wosWOS:000786193400051
dc.identifier.wosqualityN/A
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorAlobaidi, May
dc.institutionauthorBayat, Oğuz
dc.language.isoen
dc.publisherULAKBİMen_US
dc.relation.ispartofIEEE
dc.relation.isversionof10.1109/SCOReD53546.2021.9652681en_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectElectroencephalogramen_US
dc.subjectShape Detectionen_US
dc.subjectClassificationen_US
dc.subjectMachine Learningen_US
dc.titleObserved shape detection from EEG time series
dc.typeArticle

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