Classification of frontal EEG signals of normal subjects to differentiate gender by using Artificial Neural Network

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Classification of frontal EEG signals of normal subjects to differentiate gender by using Artificial Neural Network

Varying mental states of an individual can influence their brainwave patterns. This is also true for individuals of different gender, where a male's EEG signal is different from a female's EEG signal. This provides a context for our research, where our main aim is to classify different pat...

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Bibliographic Details
Published in:	Journal of Telecommunication, Electronic and Computer Engineering
Main Author:	Ghani S.A.; Zaini N.; Norhazman H.; Yassin I.M.; Sani M.M.
Format:	Article
Language:	English
Published:	Universiti Teknikal Malaysia Melaka 2017
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020840963&partnerID=40&md5=7b241643f6416468fdc1628450de4819

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