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Epilepsy Prediction using Entropies

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IJCA Special Issue on International Conference on Electronic Design and Signal Processing
© 2013 by IJCA Journal
ICEDSP - Number 4
Year of Publication: 2013
Authors:
Ashwini Holla V R
Akshatha Kamath
Sandeep Prabhu

Ashwini Holla V R, Akshatha Kamath and Sandeep Prabhu. Article: Epilepsy Prediction using Entropies. IJCA Special Issue on International Conference on Electronic Design and Signal Processing ICEDSP(4):33-37, February 2013. Full text available. BibTeX

@article{key:article,
	author = {Ashwini Holla V R and Akshatha Kamath and Sandeep Prabhu},
	title = {Article: Epilepsy Prediction using Entropies},
	journal = {IJCA Special Issue on International Conference on Electronic Design and Signal Processing},
	year = {2013},
	volume = {ICEDSP},
	number = {4},
	pages = {33-37},
	month = {February},
	note = {Full text available}
}

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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