Cover Image

EEG calmness index establishment using computational of Z-score

A lot of useful information can be obtained through observation of the electroencephalogram (EEG) signal such as the human psychophysiology. It has been proven that EEG is handy in human diagnosis and tools to observe the brain condition. The study aims to establish a calmness index, which can diffe...

Full description

Saved in:
Bibliographic Details
Main Authors: Aris, S. A. M., Bani, N. A., Muhtazaruddin, M. N., Taib, M. N.
Format: Article
Language:English
Published: Science Publishing Corporation Inc. 2018
Subjects:
T Technology (General)
Online Access:http://eprints.utm.my/id/eprint/84798/1/SAMAris2018_EEGCalmnessIndexEstablishmentUsing.pdf
http://eprints.utm.my/id/eprint/84798/
http://dx.doi.org/10.14419/ijet.v7i4.11.20686
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utm.84798
record_format eprints
spelling my.utm.847982020-02-27T04:58:57Z http://eprints.utm.my/id/eprint/84798/ EEG calmness index establishment using computational of Z-score Aris, S. A. M. Bani, N. A. Muhtazaruddin, M. N. Taib, M. N. T Technology (General) A lot of useful information can be obtained through observation of the electroencephalogram (EEG) signal such as the human psychophysiology. It has been proven that EEG is handy in human diagnosis and tools to observe the brain condition. The study aims to establish a calmness index, which can differentiate the calmness level of an individual. Alpha waves were selected as the data features and computed into asymmetry index. The data features were clustered using Fuzzy C-Means (FCM) and resulted in three clusters. Wilcoxon Signed Ranks test was applied to determine the significance of the data features clustered by FCM. The Z-score obtained successfully distinguish three level of calmness index from the lower index until the higher index. With the advancement of signal processing techniques, the feature extractions for calmness index establishment computation is achievable. Science Publishing Corporation Inc. 2018 Article PeerReviewed application/pdf en http://eprints.utm.my/id/eprint/84798/1/SAMAris2018_EEGCalmnessIndexEstablishmentUsing.pdf Aris, S. A. M. and Bani, N. A. and Muhtazaruddin, M. N. and Taib, M. N. (2018) EEG calmness index establishment using computational of Z-score. International Journal of Engineering & Technology, 7 (4.11). pp. 44-48. ISSN 2227-524X http://dx.doi.org/10.14419/ijet.v7i4.11.20686 DOI:10.14419/ijet.v7i4.11.20686
institution Universiti Teknologi Malaysia
building UTM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknologi Malaysia
content_source UTM Institutional Repository
url_provider http://eprints.utm.my/
language English
topic T Technology (General)
spellingShingle T Technology (General)
Aris, S. A. M.
Bani, N. A.
Muhtazaruddin, M. N.
Taib, M. N.
EEG calmness index establishment using computational of Z-score
description A lot of useful information can be obtained through observation of the electroencephalogram (EEG) signal such as the human psychophysiology. It has been proven that EEG is handy in human diagnosis and tools to observe the brain condition. The study aims to establish a calmness index, which can differentiate the calmness level of an individual. Alpha waves were selected as the data features and computed into asymmetry index. The data features were clustered using Fuzzy C-Means (FCM) and resulted in three clusters. Wilcoxon Signed Ranks test was applied to determine the significance of the data features clustered by FCM. The Z-score obtained successfully distinguish three level of calmness index from the lower index until the higher index. With the advancement of signal processing techniques, the feature extractions for calmness index establishment computation is achievable.
format Article
author Aris, S. A. M.
Bani, N. A.
Muhtazaruddin, M. N.
Taib, M. N.
author_facet Aris, S. A. M.
Bani, N. A.
Muhtazaruddin, M. N.
Taib, M. N.
author_sort Aris, S. A. M.
title EEG calmness index establishment using computational of Z-score
title_short EEG calmness index establishment using computational of Z-score
title_full EEG calmness index establishment using computational of Z-score
title_fullStr EEG calmness index establishment using computational of Z-score
title_full_unstemmed EEG calmness index establishment using computational of Z-score
title_sort eeg calmness index establishment using computational of z-score
publisher Science Publishing Corporation Inc.
publishDate 2018
url http://eprints.utm.my/id/eprint/84798/1/SAMAris2018_EEGCalmnessIndexEstablishmentUsing.pdf
http://eprints.utm.my/id/eprint/84798/
http://dx.doi.org/10.14419/ijet.v7i4.11.20686
_version_ 1662754308982046720
score 13.211869

Similar Items