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Detection of epilepsy from EEG signal during seizure using heuristic algorithm of fixed point iterations

Ahmad, Tahir and Ghanbari, M. and Askaripour, M. and Behboodiyan, N. (2012) Detection of epilepsy from EEG signal during seizure using heuristic algorithm of fixed point iterations. Research Journal of Applied Sciences, Engineering and Technology, 4 (19). pp. 3584-3587. ISSN 2040-7467

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Official URL: http://maxwellsci.com/print/rjaset/v4-3584-3587.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 Heuristic algorithm of Fixed point Iteration is used to cluster EEG signal of patients during an epileptic seizure. We obtained signatures of general epilepsy by superimposing results of the method.

Item Type:Article
Uncontrolled Keywords:Cluster, EEG signal, epileptic patients, heuristic algorithm of fixed point
Subjects:Q Science > Q Science (General)
Divisions:Science
ID Code:33437
Deposited By: Fazli Masari
Deposited On:28 Aug 2013 04:16
Last Modified:05 Mar 2019 02:03

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