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

M. N. Van Dongen, A. Karapatis, L. Kros, O. H.J. Eelkman Rooda, R. M. Seepers, C. Strydis, C. I. De Zeeuw, F. E. Hoebeek, W. A. Serdijn

Research output: Chapter/Conference proceedingConference proceedingAcademicpeer-review

7 Citations (Scopus)

Abstract

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%.

Original languageEnglish
Title of host publicationIEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages504-507
Number of pages4
ISBN (Electronic)9781479923465
DOIs
Publication statusPublished - 9 Dec 2014
Event10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 - Lausanne, Switzerland
Duration: 22 Oct 201424 Oct 2014

Publication series

SeriesIEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings

Conference

Conference10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
Country/TerritorySwitzerland
CityLausanne
Period22/10/1424/10/14

Bibliographical note

Publisher Copyright:
© 2014 IEEE.

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