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Abstract
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Article Information:
Detection of Epilepsy from EEG Signal during Seizure Using Entropy-Based Fuzzy c-Means
Tahir Ahmad, M. Ghanbari, M. Askaripour and N.Behboodiyan
Corresponding Author: Mahdi Ghanbari
Submitted: January 27, 2012
Accepted: March 02, 2012
Published: October 01, 2012 |
Abstract:
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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 signatures of general epilepsy
by superimposing results of the method.
Key words: EEG signal, entropy based method, epileptic patients, fuzzy cluster, , ,
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Abstract
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Cite this Reference:
Tahir Ahmad, M. Ghanbari, M. Askaripour and N.Behboodiyan, . Detection of Epilepsy from EEG Signal during Seizure Using Entropy-Based Fuzzy c-Means . Research Journal of Applied Sciences, Engineering and Technology, (19): 3588-3591.
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ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
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