Novel Methods for Stress Features Identification using EEG Signals

• 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/16488/1/2011_IJSSST_Vol_12_No_1_Norizam.pdf; http://umpir.ump.edu.my/id/eprint/16488/; http://ijssst.info/Vol-12/No-1/paper4.pdf

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...