2 Stages-region-based P300 Speller in Brain-Computer Interface

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dc.contributor.authorOralhan, Zeki
dc.date.accessioned2025-02-24T17:19:06Z
dc.date.available2025-02-24T17:19:06Z
dc.date.issued2019
dc.departmentFakülteler, Mühendislik Fakültesi, Elektrik-Elektronik Mühendisliği Bölümü
dc.description.abstractBrain-computer interface (BCI) applications present communication model without using peripheral nerves and neuromuscular systems. The P300 waves are used in BCI applications. Signal classification accuracy is a significant parameter for P300 BCI application. In this study, our goal is to investigate P300 speller structure for higher classification accuracy. There are a lot studies about P300 speller variations of stimulus model. This models mostly includes about row-column-based visual or audio stimuli model P300 spellers. But there is not enough study about region-based P300 spellers. This study contributes to region-based P300 spellers researches. Our new paradigm 2-stages region-based P300 speller has different amount of regions and stimulus position. During the experiment also, row-column-based P300 speller was used for comparing accuracy rates with our unique design 2-stages region-based P300 speller. The subject focused on the desired character stimulus. We used the stepwise linear discriminant analysis (SWLDA) method for classification that either included the desired P300 signal or not. According to SWLDA, the maximum mean classification accuracy value of the experiment was 83.33% with 2-stages region-based P300 speller. With this new paradigm, the classification accuracy was improved by 23.89% according to the most commonly used row-column-based P300 speller.
dc.identifier.doi10.1080/03772063.2019.1647802
dc.identifier.endpage748
dc.identifier.issn0377-2063
dc.identifier.issn0974-780X
dc.identifier.issue6
dc.identifier.scopus2-s2.0-85075406360
dc.identifier.scopusqualityQ2
dc.identifier.startpage740
dc.identifier.urihttps://doi.org/10.1080/03772063.2019.1647802
dc.identifier.urihttps://hdl.handle.net/20.500.14440/991
dc.identifier.volume65
dc.identifier.wosWOS:000479682600001
dc.identifier.wosqualityQ4
dc.indekslendigikaynakWeb of Science
dc.indekslendigikaynakScopus
dc.institutionauthorOralhan, Zeki
dc.language.isoen
dc.publisherTaylor & Francis Ltd
dc.relation.ispartofIete Journal of Research
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı
dc.rightsinfo:eu-repo/semantics/closedAccess
dc.snmzKA_WOS_20250201
dc.subjectBrain-computer interface
dc.subjectEEG
dc.subjecthuman-machine systems
dc.subjectP300
dc.title2 Stages-region-based P300 Speller in Brain-Computer Interface
dc.typeArticle

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