Nasir-Faud-2022

Authors: Engku Mohd Nasri Engku Mat Nasir, Norfaiza Fuad, Mohd Erwandi Marwan, Norfatin Akila.

Article: Brainwave Distribution of Cognitive Activities Between Normal and Dyslexia Children.

Publication: Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering (Springer). LNEE, volume 842 2022 | DOI: 10.1007/978-981-16-8690-0_63

Abstract

The purpose of this study is to determine the brainwave or electroencephalogram (EEG) distribution of Normal and Dyslexia children during cognitive activity. EEG is a method for monitoring electrical activity in the brain and has four main signals in the brain: Delta Wave, Theta Wave, Alpha Wave and Beta Wave. Delta wave is a slow wave generated in the deepest meditation, Theta Wave usually occurs in sleep, Alpha Wave is dominant in calming, relaxing condition, and Beta Wave is dominant in waking condition. The raw data collected are analysed using SPSS and Microsoft Excel to analyse the accuracy and pattern of brain waves between normal children and children with dyslexia. For normal versus dyslexia during cognitive activity, the average and correlation are used. Subjects are asked to remember words in a minute. There were 20 students who were tested, 10 of them normal and 10 of them had dyslexia. All subjects are from special needs school under PPD Batu Pahat. Data is focused on Alpha and Beta wave when people are awake. Brain waves tend to vary through cognitive function. The result indicates a more powerful Theta signal compared to other signals for normal kids. Then Beta signal more dominant than other signals in cognitive function for children with dyslexia.

Tagged as: disorientation, eeg, neurofeedback, and theta waves

Citation:

Nasir E.M.N.E.M., Fuad N., Marwan M.E., Akila N. (2022) Brainwave Distribution of Cognitive Activities Between Normal and Dyslexia Children. In: Md. Zain Z., Sulaiman M.H., Mohamed A.I., Bakar M.S., Ramli M.S. (eds) Proceedings of the 6th International Conference on Electrical, Control and Computer Engineering. Lecture Notes in Electrical Engineering, vol 842. Springer, Singapore. https://doi.org/10.1007/978-981-16-8690-0_63

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