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. © 2009 Springer Berlin Heidelberg.
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CITATION STYLE
Buteneers, P., Schrauwen, B., Verstraeten, D., & Stroobandt, D. (2009). Real-Time epileptic seizure detection on intra-cranial rat data using reservoir computing. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5506 LNCS, pp. 56–63). https://doi.org/10.1007/978-3-642-02490-0_7
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