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

Eroğlu, Günet and Aydın, Serap and Çetin, Müjdat and Balcısoy, Selim (2018) Improving cognitive functions of dyslexies using multi-sensory learning and EEG neurofeedback. In: 26th Signal Processing and Communications Applications Conference (SIU 2018), Izmir, Turkey

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AutoTrainBrain is a neurofeedback and multi-sensory based mobile phone software application, designed in Sabancı 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.
Item Type: Papers in Conference Proceedings
Uncontrolled Keywords: Dyslexia; EEG signal processing; Multi sensory learning; Neurofeedback
Divisions: Faculty of Engineering and Natural Sciences > Academic programs > Computer Science & Eng.
Faculty of Engineering and Natural Sciences
Depositing User: Selim Balcısoy
Date Deposited: 09 Aug 2018 14:14
Last Modified: 03 Jun 2023 20:15

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