An Application for Electroencephalogram Mining for Epileptic Seizure Prediction

Authors:
Bruno Direito;António Dourado;Francisco Sales;Marco Vieira
Affiliations:
Department of Informatics Engineering, Centro de Informática e Sistemas da Universidade de Coimbra, Coimbra, Portugal 3030-290;Department of Informatics Engineering, Centro de Informática e Sistemas da Universidade de Coimbra, Coimbra, Portugal 3030-290;Hospitais da Universidade de Coimbra, Coimbra, Portugal 3000-075;Department of Informatics Engineering, Centro de Informática e Sistemas da Universidade de Coimbra, Coimbra, Portugal 3030-290
Venue:
ICDM '08 Proceedings of the 8th industrial conference on Advances in Data Mining: Medical Applications, E-Commerce, Marketing, and Theoretical Aspects
Year:
2008

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Abstract

A computational framework to support seizure predictions in epileptic patients is presented. It is based on mining and knowledge discovery in Electroencephalogram (EEG) signal. A set of features is extracted and classification techniques are then used to eventually derive an alarm signal predicting a coming seizure. The epileptic patient may then take steps in order to prevent accidents and social exposure.