Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman

Regardless of type of stress, either mental stress, emotional stress or physical stress, it definitely affects human lifestyle and work performance. There are two prominent methods in assessing stress which are psychological assessment (qualitative method) and physiological assessment (quantitative...

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主要作者: Sulaiman, Norizam
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語言:English
出版: Institute of Graduate Studies, UiTM 2016
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http://ir.uitm.edu.my/id/eprint/19613/
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spelling my.uitm.ir.196132018-06-07T02:37:42Z http://ir.uitm.edu.my/id/eprint/19613/ Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman Sulaiman, Norizam Malaysia Regardless of type of stress, either mental stress, emotional stress or physical stress, it definitely affects human lifestyle and work performance. There are two prominent methods in assessing stress which are psychological assessment (qualitative method) and physiological assessment (quantitative method). This research proposes a new stress index based on Electroencephalogram (EEG) signals and non-parametric analysis of the signals. In non-parametric method, the EEG features that might relate to stress are extracted in term of Asymmetry Ratio (AR), Relative Energy Ratio (RER), Spectral Centroids (SC) and Spectral Entropy (SE). The selected features are fed to the k-Nearest Neighbor (k- NN) classifier to identify the stressed group among the four experimental groups being tested. The classification results are based on accuracy, sensitivity and specificity. To support the classification results using k-NN classifier, the clustering techniques using Fuzzy C-Means (FCM) and Fuzzy K-Means (FKM) are implemented. To ensure the robustness of the classifier, the cross-validation technique using k-fold and leave-oneout is performed to the classifier… Institute of Graduate Studies, UiTM 2016 Book Section PeerReviewed text en http://ir.uitm.edu.my/id/eprint/19613/1/ABS_NORIZAM%20SULAIMAN%20TDRA%20VOL%209%20IGS%2016.pdf Sulaiman, Norizam (2016) Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman. In: The Doctoral Research Abstracts. IGS Biannual Publication, 9 (9). Institute of Graduate Studies, UiTM, Shah Alam.
institution Universiti Teknologi Mara
building Tun Abdul Razak Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Mara
content_source UiTM Institutional Repository
url_provider http://ir.uitm.edu.my/
language English
topic Malaysia
spellingShingle Malaysia
Sulaiman, Norizam
Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman
description Regardless of type of stress, either mental stress, emotional stress or physical stress, it definitely affects human lifestyle and work performance. There are two prominent methods in assessing stress which are psychological assessment (qualitative method) and physiological assessment (quantitative method). This research proposes a new stress index based on Electroencephalogram (EEG) signals and non-parametric analysis of the signals. In non-parametric method, the EEG features that might relate to stress are extracted in term of Asymmetry Ratio (AR), Relative Energy Ratio (RER), Spectral Centroids (SC) and Spectral Entropy (SE). The selected features are fed to the k-Nearest Neighbor (k- NN) classifier to identify the stressed group among the four experimental groups being tested. The classification results are based on accuracy, sensitivity and specificity. To support the classification results using k-NN classifier, the clustering techniques using Fuzzy C-Means (FCM) and Fuzzy K-Means (FKM) are implemented. To ensure the robustness of the classifier, the cross-validation technique using k-fold and leave-oneout is performed to the classifier…
format Book Section
author Sulaiman, Norizam
author_facet Sulaiman, Norizam
author_sort Sulaiman, Norizam
title Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman
title_short Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman
title_full Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman
title_fullStr Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman
title_full_unstemmed Determination and classification of human stress index using nonparametric analysis of EEG signals / Norizam Sulaiman
title_sort determination and classification of human stress index using nonparametric analysis of eeg signals / norizam sulaiman
publisher Institute of Graduate Studies, UiTM
publishDate 2016
url http://ir.uitm.edu.my/id/eprint/19613/1/ABS_NORIZAM%20SULAIMAN%20TDRA%20VOL%209%20IGS%2016.pdf
http://ir.uitm.edu.my/id/eprint/19613/
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