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dc.contributor.authorGürkan, Serkan
dc.contributor.authorÖner, Poyraz Alper
dc.contributor.authorİstanbullu, Ayhan
dc.contributor.authorDoğan, Seydi
dc.date.accessioned2019-11-22T06:43:54Z
dc.date.available2019-11-22T06:43:54Z
dc.date.issued2015en_US
dc.identifier.urihttps://hdl.handle.net/20.500.12462/10002
dc.descriptionİstanbullu, Ayhan (Balikesir Author)en_US
dc.description.abstractIn this study, EOG signals recorded by an developed electronic hardware are processed by digital signal processing techniques and classified with Nearets Neighbor method. The DC component of the signal is suppressed with the digital signal processing techniques, and filtered with different algorithms, a classification is performed. The difference between the filtering processes can be analyzed with different algorithms by using the software that is being developed. This study can be used effectively on the human computer interface application.en_US
dc.language.isoturen_US
dc.publisherIeeeen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectEngineeringen_US
dc.subjectBiomedicalen_US
dc.subjectElectrical & Electronicen_US
dc.titleDigital signal processing and classification study for electrooculogram signalsen_US
dc.title.alternativeElektrookülogram sinyalleri için sayısal sinyal işleme ve sınıflandırma çalışmasıen_US
dc.typeconferenceObjecten_US
dc.relation.journal2015 Medical Technologies National Conference (Tiptekno)en_US
dc.contributor.departmentMühendislik -Mimarlık Fakültesien_US
dc.contributor.authorID0000-0001-9785-4990en_US
dc.contributor.authorID0000-0002-7066-4238en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US


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