An Application for Electroencephalogram Mining for Epileptic Seizure Prediction

  • Bruno Direito
  • António Dourado
  • Francisco Sales
  • Marco Vieira
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5077)


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.


Lyapunov Exponent Epileptic Seizure Correlation Dimension Independent Component Analysis Seizure Onset 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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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

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