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Title: Age and gender related variations in human EEG signals

Authors: H.B.A.C. Pradeep; R.G.N. Meegama

Addresses: Apple Research and Development Centre, Department of Computer Science, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka ' Apple Research and Development Centre, Department of Computer Science, Faculty of Applied Sciences, University of Sri Jayewardenepura, Nugegoda, Sri Lanka

Abstract: This research is aimed at analysing EEG data streams from FP1 and F7 channels that reflect activities of the human brain with respect to age and gender. It is mainly focused on finding significant variations in brainwaves detected at frontal parietal lobes of children and adults in both genders. EEG data gathering, data extraction, data cleaning and data filtering technologies were used to observe variations in brainwave patterns among children and adults especially in regions of the brain associated with logical thinking and linguistics. We used cross correlation functionality to obtain similarity between subject datasets in the sample space. Results indicate increased active brain signal patterns near the frontal parietal lobe of young male subjects than in female subjects.

Keywords: EEG; brain waves; brain activity; human behaviour.

DOI: 10.1504/IJDSSS.2020.106076

International Journal of Digital Signals and Smart Systems, 2020 Vol.4 No.1/2/3, pp.87 - 99

Received: 26 Jan 2019
Accepted: 22 May 2019

Published online: 24 Mar 2020 *

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