EEG pattern of cognitive activities for non dyslexia (engineering student) due to different gender

• Main Authors: Fuad, N., M. Nasir, E. M. N. E., Bahali, N. A., Marwan, M. E., Bakar, J. A., Md Nor, Danial
• Other Authors: Nasir, Ahmad Nor Kasruddin
• Format: Book Section
• Language: English
• Published: Springer Nature 2020
• Subjects: TK7800-8360 Electronics
• Online Access: http://eprints.uthm.edu.my/2873/1/EEG%20pattern%20of%20cognitive%20activities.pdf; http://eprints.uthm.edu.my/2873/
• Institution: Universiti Tun Hussein Onn Malaysia

The purpose of this study is to identify the electroencephalogram (EEG) pattern of male and female engineering student during the cognitive activity. EEG is a method to monitoring electrical activity in the brain and has four main brainwave signal Delta Wave, Theta Wave, Alpha Wave and Beta Wave. Delta wave is a slow wave generated in deepest meditation, Theta Wave usually occurs in sleep, Alpha Wave dominant in calming, relaxing condition and Beta Wave dominant in wakeful condition. The raw data collected analysis using SPSS and Microsoft Excel to analysis the accuracy and the brainwave pattern between male and female. The average, standard derivation, correlation and Q-Q Plot are used to identify the EEG pattern between male and female during cognitive activity. Cognitive is one of the bloom taxonomy formulate for education activities. The process involves in decision making, understanding of information, attitudes and solving. Subjects are given a set of question to answer. A total of 24 students, 12 males and 12 female involve recording their EEG signal while answering the cognitive question by wearing the Emotive Insight device. All subjects are from UTHM engineering students. Data collected are focused in Alpha Wave and Beta wave which exist in when someone is in awaken condition. The difference between male and female brainwave during the cognitive activity can be observed from the analysis and discussion of the result. For future recommendation for this research is the number of subject can be increased to get more accurate data.