Information Theoretic Aspects for enhancement of accuracy in Epilepsy diagnosis

Sachin Goel¹ , Harshvardhan Mishra²

Section:Research Paper, Product Type: Isroset-Journal
Vol.2 , Issue.1 , pp.1-5, Jan-2014

Online published on Feb 28, 2014

Copyright © Sachin Goel , Harshvardhan Mishra . This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
 

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Abstract :
An EEG recording remains a major source for analyzing epilepsy disease in the human being. There are various challenges associated with analyzing EEG signals. So we need such methods which can enhance the accuracy in analyzing these signals. We propose a technique towards enhancing diagnostic accuracy of the current state and provide a better estimation of survivability. The proposed methodology utilizes information theoretic approach associated with EEG recordings of epilepsy in developing a model with enhanced inferences with respect to current state of disease and future estimates of survivability.

Key-Words / Index Term :
Information Theory, Electroencephalogram, Epilepsy, Shannon Entropy

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