Novel Methods for Stress Features Identification using EEG Signals

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Novel Methods for Stress Features Identification using EEG Signals

This paper introduces new methods to extract stress features from electroencephalogram (EEG) signals during two cognitive states; Closed-Eyes (CE) and Open-Eyes (OE) using Relative Energy Ratio (RER), Shannon Entropy (SE) and Spectral Centroids (SC). The group with the stress features was identified...

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Bibliographic Details
Main Authors:	Norizam, Sulaiman, Mohd Nasir, Taib, Sahrim, Lias, Zunairah, Murat, Siti Armiza, Mohd Aris, Noor Hayatee, Abdul Hamid
Format:	Article
Language:	English
Published:	United Kingdom Simulation Society 2011
Subjects:	TK Electrical engineering. Electronics Nuclear engineering
Online Access:	http://umpir.ump.edu.my/id/eprint/16488/ http://umpir.ump.edu.my/id/eprint/16488/1/2011_IJSSST_Vol_12_No_1_Norizam.pdf

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