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M. van Dongen (Marijn), A. Karapatis (Athanasios), L. Kros (Lieke), O.H.J. Eelkman Rooda (Oscar), R.M. Seepers (Robert), C. Strydis (Christos), C.I. de Zeeuw (Chris), F.E. Hoebeek (Freek) and W. Serdijn (Wouter)

2014

An implementation of a wavelet-based seizure detection filter suitable for realtime closed-loop epileptic seizure suppression

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Publication

Presented at the 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 (October 2014), Lausanne

This paper presents the design and implementation of a real-time epilepsy detection filter that is suitable for closed-loop seizure suppression. The design aims to minimize the detection delay, while a reasonable average detection rate is obtained. The filter is based on a complex Morlet wavelet and uses an adaptive thresholding strategy for the seizure discrimination. This relatively simple configuration allows the algorithm to run on a cheap and readily available microprocessor prototyping platform. The performance of the filter is verified using both in vivo real-time measurements as well as simulations over a pre-recorded EEG dataset (29.75 hours with 1914 seizures). An average detection delay of 492 ms is achieved with a sensitivity of 96.03% and a specificity of 93.60%.

Additional Metadata
Persistent URL doi.org/10.1109/BioCAS.2014.6981773, hdl.handle.net/1765/91722
Conference 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
Organisation Department of Neuroscience
Citation
van Dongen, M., Karapatis, A., Kros, L., Eelkman Rooda, O., Seepers, R., Strydis, C., de Zeeuw, C., Hoebeek, F.& Serdijn, W. (2014, January). An implementation of a wavelet-based seizure detection filter suitable for realtime closed-loop epileptic seizure suppression. 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014, Lausanne, October 2014.https://doi.org/10.1109/BioCAS.2014.6981773


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