Epileptic seizure prediction based on ratio and differential linear univariate features

Epileptic seizure prediction based on ratio and differential linear univariate features

Bivariate features, obtained from multichannel electroencephalogram recordings, quantify the relation between different brain regions. Studies based on bivariate features have shown optimistic results for tackling epileptic seizure prediction problem in patients suffering from refractory epilepsy. A...

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Bibliographic Details
Main Authors: Jalil Rasekhi, Mohammad Reza Karami Mollaei, Mojtaba Bandarabadi, César A Teixeira, António Dourado
Format: Article
Language:English
Published: Wolters Kluwer Medknow Publications 2015-01-01
Series:Journal of Medical Signals and Sensors
Subjects:
Classification
epilepsy
epileptic seizure prediction
features selection
support vector machine
Online Access:http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2015;volume=5;issue=1;spage=1;epage=11;aulast=Rasekhi

Internet

http://www.jmss.mui.ac.ir/article.asp?issn=2228-7477;year=2015;volume=5;issue=1;spage=1;epage=11;aulast=Rasekhi

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