An Application for Electroencephalogram Mining for Epileptic Seizure Prediction

  • Bruno Direito
  • António Dourado
  • Francisco Sales
  • Marco Vieira
Conference paper

DOI: 10.1007/978-3-540-70720-2_7

Volume 5077 of the book series Lecture Notes in Computer Science (LNCS)
Cite this paper as:
Direito B., Dourado A., Sales F., Vieira M. (2008) An Application for Electroencephalogram Mining for Epileptic Seizure Prediction. In: Perner P. (eds) Advances in Data Mining. Medical Applications, E-Commerce, Marketing, and Theoretical Aspects. ICDM 2008. Lecture Notes in Computer Science, vol 5077. Springer, Berlin, Heidelberg

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.

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

Copyright information

© Springer-Verlag Berlin Heidelberg 2008

Authors and Affiliations

  • Bruno Direito
    • 1
  • António Dourado
    • 1
  • Francisco Sales
    • 2
  • Marco Vieira
    • 1
  1. 1.Department of Informatics EngineeringCentro de Informática e Sistemas da Universidade de CoimbraCoimbraPortugal
  2. 2.Hospitais da Universidade de CoimbraCoimbraPortugal