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Complexity Analysis of EEG Data during Rest State and Visual Stimulus

This paper presents an approach to analyze physiological states by observing sample entropy (SampEn) and composite permutation entropy index (CPEI) in the complexity measure of an electroencephalographic (EEG) time series. Three states are observed (eyes closed (EC), eyes open (EO) and game playing)...

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Main Authors: Mumtaz, Wajid, Xia, Likun, Malik, Aamir Saeed, Yasin, Mohd Azhar Mohd
Format: Book Section
Published: Springer 2012
Subjects:
BF Psychology
QP Physiology
Online Access:http://eprints.utp.edu.my/10904/1/ICONIP_2013.pdf
http://eprints.utp.edu.my/10904/
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spelling my.utp.eprints.109042013-12-16T23:48:28Z Complexity Analysis of EEG Data during Rest State and Visual Stimulus Mumtaz, Wajid Xia, Likun Malik, Aamir Saeed Yasin, Mohd Azhar Mohd BF Psychology QP Physiology This paper presents an approach to analyze physiological states by observing sample entropy (SampEn) and composite permutation entropy index (CPEI) in the complexity measure of an electroencephalographic (EEG) time series. Three states are observed (eyes closed (EC), eyes open (EO) and game playing) during 2D game environment: the last state is observed during visual stimulus, whereas the rest of them are in resting states. This analysis provides an insight into EEG data for frontal, parietal, occipital, temporal and central regions. The results show a clear discrimination among physiological conditions based on values of SampEn and CPEI in the brain regions. The physiological states discrimination based on EEG recordings may be performed in clinical settings. In addition, based on the discovery, a real-time time monitoring system is being developed for the road safety issue by observing vehicle drivers'activity and motorbikes on the road in Malaysia. Springer 2012-11 Book Section PeerReviewed application/pdf http://eprints.utp.edu.my/10904/1/ICONIP_2013.pdf Mumtaz, Wajid and Xia, Likun and Malik, Aamir Saeed and Yasin, Mohd Azhar Mohd (2012) Complexity Analysis of EEG Data during Rest State and Visual Stimulus. In: Neural Information Processing. Lecture Notes in Computer Science, 7663 . Springer, pp. 84-91. ISBN 978-3-642-34474-9 http://eprints.utp.edu.my/10904/
institution Universiti Teknologi Petronas
building UTP Resource Centre
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Petronas
content_source UTP Institutional Repository
url_provider http://eprints.utp.edu.my/
topic BF Psychology
QP Physiology
spellingShingle BF Psychology
QP Physiology
Mumtaz, Wajid
Xia, Likun
Malik, Aamir Saeed
Yasin, Mohd Azhar Mohd
Complexity Analysis of EEG Data during Rest State and Visual Stimulus
description This paper presents an approach to analyze physiological states by observing sample entropy (SampEn) and composite permutation entropy index (CPEI) in the complexity measure of an electroencephalographic (EEG) time series. Three states are observed (eyes closed (EC), eyes open (EO) and game playing) during 2D game environment: the last state is observed during visual stimulus, whereas the rest of them are in resting states. This analysis provides an insight into EEG data for frontal, parietal, occipital, temporal and central regions. The results show a clear discrimination among physiological conditions based on values of SampEn and CPEI in the brain regions. The physiological states discrimination based on EEG recordings may be performed in clinical settings. In addition, based on the discovery, a real-time time monitoring system is being developed for the road safety issue by observing vehicle drivers'activity and motorbikes on the road in Malaysia.
format Book Section
author Mumtaz, Wajid
Xia, Likun
Malik, Aamir Saeed
Yasin, Mohd Azhar Mohd
author_facet Mumtaz, Wajid
Xia, Likun
Malik, Aamir Saeed
Yasin, Mohd Azhar Mohd
author_sort Mumtaz, Wajid
title Complexity Analysis of EEG Data during Rest State and Visual Stimulus
title_short Complexity Analysis of EEG Data during Rest State and Visual Stimulus
title_full Complexity Analysis of EEG Data during Rest State and Visual Stimulus
title_fullStr Complexity Analysis of EEG Data during Rest State and Visual Stimulus
title_full_unstemmed Complexity Analysis of EEG Data during Rest State and Visual Stimulus
title_sort complexity analysis of eeg data during rest state and visual stimulus
publisher Springer
publishDate 2012
url http://eprints.utp.edu.my/10904/1/ICONIP_2013.pdf
http://eprints.utp.edu.my/10904/
_version_ 1738655909559664640
score 13.18916

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