Development of EEG-based stress index
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| Language: | English |
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Institute of Electrical and Electronics Engineers (IEEE)
2012
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| Online Access: | http://dspace.unimap.edu.my/xmlui/handle/123456789/21406 |
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my.unimap-214062012-10-18T07:55:16Z Development of EEG-based stress index Norizam, Sulaiman Mohd Nasir, Taib, Prof. Dr. Sahrim, Lias Zunairah, Hj Murat Siti Armiza, Mohd Aris Mahfuza, Mustafa Nazre, Abdul Rashid norizam@ump.edu.my dr.nasir@ieee.org Cognitive states Electroencephalogram (EEG) Energy Spectral Density Shannon Entropy Spectral Centroids k-Nearest Neighbor (k-NN) Stress Index Link to publisher's homepage at http://ieeexplore.ieee.org/ This paper presents a non-parametric method to produce stress index using Electroencephalogram (EEG) signals. 180 EEG datasets from healthy subjects were evaluated at two cognitive states; resting state (Eyes Closed) and working state (Eyes Open). In working cognitive state, subjects were asked to answer the Intelligence Quotient (IQ) test questions. The EEG datasets were categorized into 4 groups. Energy Spectral Density (ESD) ratios and Spectral Centroids (SC) from the two tasks were calculated and selected as input features to k-Nearest Neighbor (k-NN) classifier. Shannon’s Entropy (SE) was used to detect and quantify the distribution of ESD due to stressors (stress factors). The stress indexes were assigned based on the results of classification, ESD ratios, SC and SE. There were 3 types of stress indexes can be assigned which represent the stress level (low stress, moderate stress and high stress) at classification accuracy of 88.89%. The regression coefficient of the SC of Beta and Alpha was 77%. 2012-10-18T07:55:16Z 2012-10-18T07:55:16Z 2012-02-27 Working Paper p. 461-466 978-145771989-9 http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=6179059 http://hdl.handle.net/123456789/21406 en Proceedings of the International Conference on Biomedical Engineering (ICoBE 2012) Institute of Electrical and Electronics Engineers (IEEE) |
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English |
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Cognitive states Electroencephalogram (EEG) Energy Spectral Density Shannon Entropy Spectral Centroids k-Nearest Neighbor (k-NN) Stress Index |
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Cognitive states Electroencephalogram (EEG) Energy Spectral Density Shannon Entropy Spectral Centroids k-Nearest Neighbor (k-NN) Stress Index Norizam, Sulaiman Mohd Nasir, Taib, Prof. Dr. Sahrim, Lias Zunairah, Hj Murat Siti Armiza, Mohd Aris Mahfuza, Mustafa Nazre, Abdul Rashid Development of EEG-based stress index |
| description |
Link to publisher's homepage at http://ieeexplore.ieee.org/ |
| author2 |
norizam@ump.edu.my |
| author_facet |
norizam@ump.edu.my Norizam, Sulaiman Mohd Nasir, Taib, Prof. Dr. Sahrim, Lias Zunairah, Hj Murat Siti Armiza, Mohd Aris Mahfuza, Mustafa Nazre, Abdul Rashid |
| format |
Working Paper |
| author |
Norizam, Sulaiman Mohd Nasir, Taib, Prof. Dr. Sahrim, Lias Zunairah, Hj Murat Siti Armiza, Mohd Aris Mahfuza, Mustafa Nazre, Abdul Rashid |
| author_sort |
Norizam, Sulaiman |
| title |
Development of EEG-based stress index |
| title_short |
Development of EEG-based stress index |
| title_full |
Development of EEG-based stress index |
| title_fullStr |
Development of EEG-based stress index |
| title_full_unstemmed |
Development of EEG-based stress index |
| title_sort |
development of eeg-based stress index |
| publisher |
Institute of Electrical and Electronics Engineers (IEEE) |
| publishDate |
2012 |
| url |
http://dspace.unimap.edu.my/xmlui/handle/123456789/21406 |
| _version_ |
1643793369893175296 |