Real-time epileptic seizure detection on intra-cranial rat data using reservoir computing

Authors:
Pieter Buteneers;Benjamin Schrauwen;David Verstraeten;Dirk Stroobandt
Affiliations:
Ghent University, Belgium;Ghent University, Belgium;Ghent University, Belgium;Ghent University, Belgium
Venue:
ICONIP'08 Proceedings of the 15th international conference on Advances in neuro-information processing - Volume Part I
Year:
2008

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Abstract

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.