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dc.contributor.authorEroğlu, Güneten_US
dc.date.accessioned2023-03-06T11:21:14Z
dc.date.available2023-03-06T11:21:14Z
dc.date.issued2023
dc.identifier.citationEroğlu, G. (2023). Auto Train Brain increases the variance of the gamma band sample entropy in the left hemisphere in dyslexia: a pilot study. Paper presented at the 6th World Conference on Smart Trends in Systems, Security and Sustainability, 578, 471-477. doi:10.1007/978-981-19-7660-5_40en_US
dc.identifier.isbn9789811976599
dc.identifier.issn2367-3370en_US
dc.identifier.urihttps://hdl.handle.net/11729/5422
dc.identifier.urihttp://dx.doi.org/10.1007/978-981-19-7660-5_40
dc.description.abstractAuto Train Brain is a mobile app that improves reading speed and reading comprehension in dyslexia. The efficacy of Auto Train Brain was proven with a clinical trial. We have analyzed the long-term training effects of the Auto Train Brain on dyslexic children. We have collected QEEG data from 14 channels from 21 dyslexic children for 100 sessions and calculated the sample entropy in the gamma bands for the left posterior brain (T7, P7, and O1). Although the gamma band values fluctuate and no permanent increase in the gamma band values is detected after Auto Train Brain training at T7, P7, and O1, the variance of gamma band sample entropy increases as the neurofeedback session number increases. We have concluded that the Auto Train Brain increases the flexibility of the left brain in dyslexia.en_US
dc.language.isoenen_US
dc.publisherSpringer Science and Business Media Deutschland GmbHen_US
dc.relation.ispartofLecture Notes in Networks and Systemsen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectAuto Train Brainen_US
dc.subjectNeurofeedbacken_US
dc.subjectSample entropyen_US
dc.titleAuto Train Brain increases the variance of the gamma band sample entropy in the left hemisphere in dyslexia: a pilot studyen_US
dc.typeConference Objecten_US
dc.description.versionPublisher's Versionen_US
dc.departmentIşık Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Bilgisayar Mühendisliği Bölümüen_US
dc.departmentIşık University, Faculty of Engineering and Natural Sciences, Department of Computer Engineeringen_US
dc.authorid0000-0001-8382-8417
dc.authorid0000-0001-8382-8417en_US
dc.identifier.volume578
dc.identifier.startpage471
dc.identifier.endpage477
dc.peerreviewedYesen_US
dc.publicationstatusPublisheden_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.institutionauthorEroğlu, Güneten_US
dc.indekslendigikaynakScopusen_US
dc.identifier.scopus2-s2.0-85147990648en_US
dc.identifier.doi10.1007/978-981-19-7660-5_40
dc.identifier.scopusqualityQ4en_US


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