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    Abstract
2012 (Vol. 4, Issue: 19)
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 

Key words:  EEG signal, entropy based method, epileptic patients, fuzzy cluster, , ,
Vol. 4 , (19): 3588-3591
Submitted Accepted Published
January 27, 2012 March 02, 2012 October 01, 2012
Abstract:

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.
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  Cite this Reference:
Tahir Ahmad, M. Ghanbari, M. Askaripour and N.Behboodiyan, 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): 3588-3591.
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ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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