Evaluation of EEG features as indicators of physiological conditions
This paper aims to quantify physiological conditions based on two EEG features, composite permutation entropy index (CPEI) and sample entropy (SampEn), to identify healthy (unstressed) and stressed conditions. An experiment with 28 participants (17 healthy, 11 stressed) was designed. It was conduc...
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2012
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| Online Access: | http://eprints.utp.edu.my/8441/1/Abstract-journal_V6.pdf http://www.springer.com/biomed/journal/13246 http://eprints.utp.edu.my/8441/ |
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my.utp.eprints.84412017-01-19T08:21:17Z Evaluation of EEG features as indicators of physiological conditions Xia, Likun Mumtaz, Wajid Malik, Aamir Saeed QP Physiology This paper aims to quantify physiological conditions based on two EEG features, composite permutation entropy index (CPEI) and sample entropy (SampEn), to identify healthy (unstressed) and stressed conditions. An experiment with 28 participants (17 healthy, 11 stressed) was designed. It was conducted using visual stimulus in the 2D and 3D game environments, respectively. The dataset was recorded in eyes close (EC), eyes open (EO), and game playing in two dimension (2D), three dimension (3D) Active and Passive stages. It was then analysed using CPEI and SampEn. Springer 2012-12 Article NonPeerReviewed application/pdf http://eprints.utp.edu.my/8441/1/Abstract-journal_V6.pdf http://www.springer.com/biomed/journal/13246 Xia, Likun and Mumtaz, Wajid and Malik, Aamir Saeed (2012) Evaluation of EEG features as indicators of physiological conditions. Australasian Physical & Engineering Sciences in Medicine . ISSN 0158-9938 (In Press) http://eprints.utp.edu.my/8441/ |
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QP Physiology Xia, Likun Mumtaz, Wajid Malik, Aamir Saeed Evaluation of EEG features as indicators of physiological conditions |
| description |
This paper aims to quantify physiological conditions based on two EEG features, composite permutation entropy index (CPEI) and sample entropy (SampEn), to identify healthy (unstressed) and stressed conditions.
An experiment with 28 participants (17 healthy, 11 stressed) was designed. It was conducted using visual stimulus in the 2D and 3D game environments, respectively. The dataset was recorded in eyes close (EC), eyes open (EO), and game playing in two dimension (2D), three dimension (3D) Active and Passive stages. It was then analysed using CPEI and SampEn.
|
| format |
Article |
| author |
Xia, Likun Mumtaz, Wajid Malik, Aamir Saeed |
| author_facet |
Xia, Likun Mumtaz, Wajid Malik, Aamir Saeed |
| author_sort |
Xia, Likun |
| title |
Evaluation of EEG features as indicators of physiological conditions |
| title_short |
Evaluation of EEG features as indicators of physiological conditions |
| title_full |
Evaluation of EEG features as indicators of physiological conditions |
| title_fullStr |
Evaluation of EEG features as indicators of physiological conditions |
| title_full_unstemmed |
Evaluation of EEG features as indicators of physiological conditions |
| title_sort |
evaluation of eeg features as indicators of physiological conditions |
| publisher |
Springer |
| publishDate |
2012 |
| url |
http://eprints.utp.edu.my/8441/1/Abstract-journal_V6.pdf http://www.springer.com/biomed/journal/13246 http://eprints.utp.edu.my/8441/ |
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1738655655908081664 |