Classification of Motor Imagery Signals by Convolutional Neural Network for BCI Applications

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dc.authorid0000-0002-6685-758Xen_US
dc.contributor.authorBalım, Mustafa Alper
dc.contributor.authorAcır, Nurettin
dc.date.accessioned2021-03-20T20:12:47Z
dc.date.available2021-03-20T20:12:47Z
dc.date.issued2019
dc.departmentBTÜ, Mühendislik ve Doğa Bilimleri Fakültesi, Elektrik Elektronik Mühendisliği Bölümüen_US
dc.description27th Signal Processing and Communications Applications Conference (SIU) -- APR 24-26, 2019 -- Sivas Cumhuriyet Univ, Sivas, TURKEYen_US
dc.description.abstractElectroencephalography (EEG) signals have been using for clinical purposes for many years. However, studies on the use of EEG signals in brain computer interface (BBA) applications are increasing. It is possible to control machines using only mental activities, especially for patients with limited mobility. Motor imagery signals (MIS) which are formed as a result of the imagination of moving a limb are one of the most common signal used for this purpose. In this study, it is aimed to classify MIS signals with Convolutional Neural Network by using BCI-IV 2b dataset. As a result, higher (%75,7) performance was obtained with lower number of parameters compared to similar previous studies.en_US
dc.description.sponsorshipIEEE Turkey Sect, Turkcell, Turkhavacilik Uzaysanayii, Turitak Bilgem, Gebze Teknik Univ, SAP, Detaysoft, NETAS, Havelsanen_US
dc.identifier.isbn978-1-7281-1904-5
dc.identifier.issn2165-0608
dc.identifier.scopusqualityN/Aen_US
dc.identifier.urihttps://hdl.handle.net/20.500.12885/700
dc.identifier.wosWOS:000518994300143en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.institutionauthorBalım, Mustafa Alper
dc.language.isotren_US
dc.publisherIeeeen_US
dc.relation.ispartof2019 27Th Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.ispartofseriesSignal Processing and Communications Applications Conference
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectMotor imageryen_US
dc.subjectbrain computer interfaceen_US
dc.subjectelectroencephalographyen_US
dc.subjectdeep learningen_US
dc.titleClassification of Motor Imagery Signals by Convolutional Neural Network for BCI Applicationsen_US
dc.typeConference Objecten_US

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