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...
| Published in: | Journal of Telecommunication, Electronic and Computer Engineering |
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| Main Author: | |
| Format: | Article |
| Language: | English |
| Published: |
Universiti Teknikal Malaysia Melaka
2017
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| Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85020840963&partnerID=40&md5=7b241643f6416468fdc1628450de4819 |