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
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Official URL: http://maxwellsci.com/print/rjaset/v4-3588-3591.pd...
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 signa tures of general epilepsy by superimposing results of the method.
| Item Type: | Article |
|---|---|
| Uncontrolled Keywords: | EEG signal, entropy based method, epileptic patients, fuzzy cluster |
| Subjects: | Q Science > Q Science (General) |
| Divisions: | Science |
| ID Code: | 33436 |
| Deposited By: | Fazli Masari |
| Deposited On: | 28 Aug 2013 04:15 |
| Last Modified: | 05 Mar 2019 02:03 |
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