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Epilepsy Prediction using Entropies

Published on February 2013 by Ashwini Holla V R, Akshatha Kamath, Sandeep Prabhu
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International Conference on Electronic Design and Signal Processing
Foundation of Computer Science USA
ICEDSP - Number 4
February 2013
Authors: Ashwini Holla V R, Akshatha Kamath, Sandeep Prabhu
c1418f8b-5c1b-4b8f-9cfa-098a556af212

Ashwini Holla V R, Akshatha Kamath, Sandeep Prabhu . Epilepsy Prediction using Entropies. International Conference on Electronic Design and Signal Processing. ICEDSP, 4 (February 2013), 33-37.

@article{
author = { Ashwini Holla V R, Akshatha Kamath, Sandeep Prabhu },
title = { Epilepsy Prediction using Entropies },
journal = { International Conference on Electronic Design and Signal Processing },
issue_date = { February 2013 },
volume = { ICEDSP },
number = { 4 },
month = { February },
year = { 2013 },
issn = 0975-8887,
pages = { 33-37 },
numpages = 5,
url = { /specialissues/icedsp/number4/10375-1036/ },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Special Issue Article
%1 International Conference on Electronic Design and Signal Processing
%A Ashwini Holla V R
%A Akshatha Kamath
%A Sandeep Prabhu
%T Epilepsy Prediction using Entropies
%J International Conference on Electronic Design and Signal Processing
%@ 0975-8887
%V ICEDSP
%N 4
%P 33-37
%D 2013
%I International Journal of Computer Applications
Abstract

A person suffering from Epilepsy experiences or exhibits spontaneous seizures during which his behavior and perceptions are altered. Prediction of seizure onsets would help the affected and the bystanders to take prudent measures. Nonlinear features of Electro EncephaloGram (EEG) are used to isolate a class of background epileptic EEG, by training Support Vector Machine (SVM) classi?er. Very good accuracy results have been seen in the results.

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Index Terms

Computer Science
Information Sciences

Keywords

Electro Encephalogram (eeg) Support Vector Machine (svm) Wavelets Non Linear Features