Improving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedback

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dc.contributor.authorEroglu G.
dc.contributor.authorAydin S.
dc.contributor.authorCetin M.
dc.contributor.authorBalcisoy S.
dc.date.accessioned2024-03-13T10:00:55Z
dc.date.available2024-03-13T10:00:55Z
dc.date.issued2018
dc.departmentİstanbul Beykent Üniversitesien_US
dc.descriptionAselsan;et al.;Huawei;IEEE Signal Processing Society;IEEE Turkey Section;Netasen_US
dc.description26th IEEE Signal Processing and Communications Applications Conference, SIU 2018 -- 2 May 2018 through 5 May 2018 -- -- 137780en_US
dc.description.abstractAutoTrainBrain is a neurofeedback and multi-sensory based mobile phone software application, designed in Sabanci University laboratory with the aim of improving the cognitive functions of dyslexic children. It reads electroencephalography (EEG) signals from 14 channels of eMotiv EPOC+ and processes these signals to provide neurofeedback to child for improving the brain signals with visual and auditory cues in real time. AutoTrainBrain software has been applied to a 14-year old dyslexic child, 10 minutes per week for 9 consecutive weeks. The EEG data has been analyzed by using the following three approaches: estimation of single-channel EEG complexity levels (entropy), spectral brain connectivity between two-channels (coherence), single channel relative Alpha band power ratio. Our experimental analysis shows that the proposed brain training system offers improvements based on the measures used in the three approaches mentioned above. This suggests such training may help increase the number of active cortical neurons and improve regional brain connectivity. © 2018 IEEE.en_US
dc.identifier.doi10.1109/SIU.2018.8404711
dc.identifier.endpage4en_US
dc.identifier.isbn9781538615010
dc.identifier.scopus2-s2.0-85050826958
dc.identifier.scopusqualityN/Aen_US
dc.identifier.startpage1en_US
dc.identifier.urihttps://doi.org/10.1109/SIU.2018.8404711
dc.identifier.urihttps://hdl.handle.net/20.500.12662/2864
dc.indekslendigikaynakScopus
dc.language.isoenen_US
dc.publisherInstitute of Electrical and Electronics Engineers Inc.en_US
dc.relation.ispartof26th IEEE Signal Processing and Communications Applications Conference, SIU 2018en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectDyslexiaen_US
dc.subjectEEG signal processingen_US
dc.subjectMulti sensory learningen_US
dc.subjectNeurofeedbacken_US
dc.titleImproving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedbacken_US
dc.typeConference Objecten_US

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