Real-Time Epileptic Seizure Detection on Intra-cranial Rat Data Using Reservoir Computing
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.
Unable to display preview. Download preview PDF.
- 1.Annegers, J.F.: The epidemiology in epilepsy. In: The treatment of epilepsy: principle and practice, pp. 165–172. Williams and Wilkins, Baltimore (1996)Google Scholar
- 2.Schrauwen, B., Verstraeten, D., Van Campenhout, J.: An overview of reservoir computing: theory, applications and implementations. In: Proceedings of the European Symposium on Artifical Neural Networks (ESANN) (2007)Google Scholar
- 3.Jaeger, H.: The “echo state” approach to analysing and training recurrent neural networks. Technical Report GMD Report 148, German National Research Center for Information Technology (2001)Google Scholar
- 4.Verstraeten, D., Schrauwen, B., Stroobandt, D.: Isolated word recognition using a Liquid State Machine. In: Proceedings of the 13th European Symposium on Artificial Neural Networks (ESANN), Evere, May 2005, pp. 435–440. D-side Publications (2005)Google Scholar
- 5.Jaeger, H.: Tutorial on training recurrent neural networks, covering BPTT, RTRL, EKF and the “echo state network” approach. Technical Report GMD Report 159, German National Research Center for Information Technology (2002)Google Scholar
- 7.Legenstein, R.A., Maass, W.: Edge of chaos and prediction of computational performance for neural microcircuit models. Neural Networks, 323–333 (2007)Google Scholar
- 9.Westerhuis, F., Van Schaijk, W., Van Luijtelaar, G.: Automatic detection of spike-wave discharges in the cortical EEG of rats. In: Measuring Behavior 1996, International Workshop on Methods and Techniques in Behavioral Research, Utrecht, The Netherlands, October 16-18 (1996)Google Scholar
- 10.Fanselow, E., Ashlan, P., Nicolelis, A.: Reduction of pentylenetetrazole-induced seizure activity in awake rats by seizure-triggered trigeminal nerve stimulation. Journal of Neuroscience 20, 8160–8168 (2000)Google Scholar
- 13.Marescaux, C., Vergnes, M., Depaulis, A.: Genetic absence epilepsy in rats from Strasbourg - a review. Journal of Neural Transmission 35, 37–69 (1992)Google Scholar