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

doi:10.1109/BioCAS.2014.6981773

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 proceeding › Conference proceeding › Academic › peer-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 language	English
Title of host publication	IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	504-507
Number of pages	4
ISBN (Electronic)	9781479923465
DOIs	https://doi.org/10.1109/BioCAS.2014.6981773
Publication status	Published - 9 Dec 2014
Event	10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 - Lausanne, Switzerland Duration: 22 Oct 2014 → 24 Oct 2014

Publication series

Series	IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings

Conference

Conference	10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014
Country/Territory	Switzerland
City	Lausanne
Period	22/10/14 → 24/10/14

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Publisher Copyright:
© 2014 IEEE.

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10.1109/BioCAS.2014.6981773

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Van Dongen, M. N., Karapatis, A., Kros, L., Eelkman Rooda, O. H. J., Seepers, R. M., Strydis, C., De Zeeuw, C. I., Hoebeek, F. E., & Serdijn, W. A. (2014). An implementation of a wavelet-based seizure detection filter suitable for realtime closed-loop epileptic seizure suppression. In IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings (pp. 504-507). [6981773] Institute of Electrical and Electronics Engineers Inc.. IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings https://doi.org/10.1109/BioCAS.2014.6981773

Van Dongen, M. N. ; Karapatis, A. ; Kros, L. et al. / An implementation of a wavelet-based seizure detection filter suitable for realtime closed-loop epileptic seizure suppression. IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. pp. 504-507 (IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings).

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

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%.",

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

note = "Publisher Copyright: {\textcopyright} 2014 IEEE.; 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014 ; Conference date: 22-10-2014 Through 24-10-2014",

year = "2014",

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doi = "10.1109/BioCAS.2014.6981773",

language = "English",

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Van Dongen, MN, Karapatis, A, Kros, L , Eelkman Rooda, OHJ, Seepers, RM, Strydis, C , De Zeeuw, CI, Hoebeek, FE & Serdijn, WA 2014, An implementation of a wavelet-based seizure detection filter suitable for realtime closed-loop epileptic seizure suppression. in IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings., 6981773, Institute of Electrical and Electronics Engineers Inc., IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings, pp. 504-507, 10th IEEE Biomedical Circuits and Systems Conference, BioCAS 2014, Lausanne, Switzerland, 22/10/14. https://doi.org/10.1109/BioCAS.2014.6981773

An implementation of a wavelet-based seizure detection filter suitable for realtime closed-loop epileptic seizure suppression. / Van Dongen, M. N.; Karapatis, A.; Kros, L. et al.

IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc., 2014. p. 504-507 6981773 (IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings).

Research output: Chapter/Conference proceeding › Conference proceeding › Academic › peer-review

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AU - Karapatis, A.

AU - Kros, L.

AU - Eelkman Rooda, O. H.J.

AU - Seepers, R. M.

AU - Strydis, C.

AU - De Zeeuw, C. I.

AU - Hoebeek, F. E.

AU - Serdijn, W. A.

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N2 - 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%.

AB - 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%.

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Van Dongen MN, Karapatis A, Kros L , Eelkman Rooda OHJ, Seepers RM, Strydis C et al. An implementation of a wavelet-based seizure detection filter suitable for realtime closed-loop epileptic seizure suppression. In IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings. Institute of Electrical and Electronics Engineers Inc. 2014. p. 504-507. 6981773. (IEEE 2014 Biomedical Circuits and Systems Conference, BioCAS 2014 - Proceedings). doi: 10.1109/BioCAS.2014.6981773

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

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