Novel Methods for Stress Features Identification using EEG Signals

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/
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

Internet

http://umpir.ump.edu.my/id/eprint/16488/
http://umpir.ump.edu.my/id/eprint/16488/
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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