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General Information
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2015 Vol.7(2): 149-155 ISSN: 1793-8201
DOI: 10.7763/IJCTE.2015.V7.947

Analysis of Single-Electrode EEG Rhythms Using MATLAB to Elicit Correlation with Cognitive Stress

Chee-Keong Alfred Lim and Wai Chong Chia
Abstract—This paper demonstrates electroencephalogram (EEG) analysis in MATLAB environment with the objective to investigate effectiveness of cognitive stress recognition algorithm using EEG from single-electrode BCI. 25 subjects’ EEG were recorded in MATLAB with the use of Stroop color-word test as stress inducer. Questionnaire on subjects’ self-perceived stress scale during Stroop test were gathered as classification’s target output. The main analysis tool used were MATLAB, coupled with the use of Discrete Cosine Transform (DCT) as dimension reduction technique to reduce data size down to 2% of the origin. Three pattern classification algorithms’ – Artificial Neural Network (ANN), k-Nearest Neighbor (KNN) and Linear Discriminant Analysis (LDA) were trained using the resulted 2% DCT coefficients. Our study discovered the use of DCT along with KNN offers highest average classification rate of 72% compared to ANN and LDA.

Index Terms—BCI, EEG, MATLAB, stress recognition.

Chee-Keong Alfred Lima and Wai Chong Chia are with the Faculty of Science and Technology, Sunway University, Selangor, Malaysia (e-mail: 09065434@imail.sunway.edu.my; waichongc@sunway.edu.my).


Cite: Chee-Keong Alfred Lim and Wai Chong Chia, "Analysis of Single-Electrode EEG Rhythms Using MATLAB to Elicit Correlation with Cognitive Stress," International Journal of Computer Theory and Engineering vol. 7, no. 2, pp. 149-155, 2015.

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