Improving Cognitive Functions of Dyslexics using Multi-sensory Learning and EEG Neurofeedback

dc.contributor.authorEroglu, Gunet
dc.contributor.authorAydin, Serap
dc.contributor.authorCetin, Mujdat
dc.contributor.authorBalcisoy, Selim
dc.date.accessioned2024-03-13T10:30:20Z
dc.date.available2024-03-13T10:30:20Z
dc.date.issued2018
dc.departmentİstanbul Beykent Üniversitesien_US
dc.description26th IEEE Signal Processing and Communications Applications Conference (SIU) -- MAY 02-05, 2018 -- Izmir, TURKEYen_US
dc.description.abstractAutoTrainBrain is a neurofeedback and multisensory 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.en_US
dc.description.sponsorshipIEEE,Huawei,Aselsan,NETAS,IEEE Turkey Sect,IEEE Signal Proc Soc,IEEE Commun Soc,ViSRATEK,Adresgezgini,Rohde & Schwarz,Integrated Syst & Syst Design,Atilim Univ,Havelsan,Izmir Katip Celebi Univen_US
dc.identifier.isbn978-1-5386-1501-0
dc.identifier.issn2165-0608
dc.identifier.urihttps://hdl.handle.net/20.500.12662/3276
dc.identifier.wosWOS:000511448500564en_US
dc.identifier.wosqualityN/Aen_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.relation.ispartof2018 26th Signal Processing And Communications Applications Conference (Siu)en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectNeurofeedbacken_US
dc.subjectEEG signal processingen_US
dc.subjectmulti sensory learningen_US
dc.subjectdyslexiaen_US
dc.titleImproving Cognitive Functions of Dyslexics using Multi-sensory Learning and EEG Neurofeedbacken_US
dc.typeConference Objecten_US

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