Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing

  • Pieter Buteneers
  • Benjamin Schrauwen
  • David Verstraeten
  • Dirk Stroobandt
Part of the Lecture Notes in Computer Science book series (LNCS, volume 5506)


In this paper it is shown that Reservoir Computing can be successfully applied to perform real-time detection of epileptic seizures in Electroencephalograms (EEGs). Absence and tonic-clonic seizures are detected on intracranial EEG coming from rats. This resulted in an area under the Receiver Operating Characteristics (ROC) curve of about 0.99 on the data that was used. For absences an average detection delay of 0.3s was noted, for tonic-clonic seizures this was 1.5s. Since it was possible to process 15h of data on an average computer in 14.5 minutes all conditions are met for a fast and reliable real-time detection system.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2009

Authors and Affiliations

  • Pieter Buteneers
    • 1
  • Benjamin Schrauwen
    • 1
  • David Verstraeten
    • 1
  • Dirk Stroobandt
    • 1
  1. 1.Ghent UniversityBelgium

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