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Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means

One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzz...

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Main Authors: Ahmad, Tahir, Ghanbari, M., Askaripour, M., Behboodiyan, N.
Format: Article
Published: Maxwell Scientific Organization 2012
Subjects:
Q Science (General)
Online Access:http://eprints.utm.my/id/eprint/33436/
http://maxwellsci.com/print/rjaset/v4-3588-3591.pdf
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id my.utm.33436
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spelling my.utm.334362019-03-05T02:03:11Z http://eprints.utm.my/id/eprint/33436/ Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means Ahmad, Tahir Ghanbari, M. Askaripour, M. Behboodiyan, N. Q Science (General) One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzzy c-Means is used to cluster EEG signal of patients during an epileptic seizure.We obtained signa tures of general epilepsy by superimposing results of the method. Maxwell Scientific Organization 2012-10-01 Article PeerReviewed Ahmad, Tahir and Ghanbari, M. and Askaripour, M. and Behboodiyan, N. (2012) Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means. Research Journal of Applied Sciences, Engineering and Technology, 4 (19). pp. 3588-3591. ISSN 2040-7467 http://maxwellsci.com/print/rjaset/v4-3588-3591.pdf
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/
topic Q Science (General)
spellingShingle Q Science (General)
Ahmad, Tahir
Ghanbari, M.
Askaripour, M.
Behboodiyan, N.
Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means
description One of the major roles of Electrocephalography (EEG) is an aid to diagnose epilepsy. Abnormal patterns such as spikes, sharp wave complexes can be seen. Our main interest is to extract information about the dynamics from a few observations of this record signal. In this study, the entropy-based fuzzy c-Means is used to cluster EEG signal of patients during an epileptic seizure.We obtained signa tures of general epilepsy by superimposing results of the method.
format Article
author Ahmad, Tahir
Ghanbari, M.
Askaripour, M.
Behboodiyan, N.
author_facet Ahmad, Tahir
Ghanbari, M.
Askaripour, M.
Behboodiyan, N.
author_sort Ahmad, Tahir
title Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means
title_short Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means
title_full Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means
title_fullStr Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means
title_full_unstemmed Detection of epilepsy from EEG signal during seizure using entropy-based fuzzy C-means
title_sort detection of epilepsy from eeg signal during seizure using entropy-based fuzzy c-means
publisher Maxwell Scientific Organization
publishDate 2012
url http://eprints.utm.my/id/eprint/33436/
http://maxwellsci.com/print/rjaset/v4-3588-3591.pdf
_version_ 1643649330734694400
score 13.160551

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