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A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study.

Overview

Authors: Lauren Swinnen1, Miguel Bhagubai2, Christos Chatzichristos2, Yvonne Weber3, Stefan Wolking3, Ummehan Ermis3, Elisabeth Schriewer3, Andreas Schulze‐Bonhage4, Matthias Dümpelmann4, Nicolas Zabler4, Nino Epitashvilli4, Benno Mahler5, Arjune Sen6, Mkael Symmonds6, Mark P Richardson7, Andrea Biondi7, Francisco Sales8, Abuhaiba Sulaiman I8, Maarten De Vos2,9, Wim Van Paesschen1,10
  1. Laboratory for Epilepsy Research, KU Leuven, Leuven, Belgium
  2. Department of Electrical Engineering (ESAT), STADIUS Center for Dynamical Systems, Signal Processing and Data Analytics, KU Leuven, Leuven, Belgium
  3. Section of Epileptology, Department of Neurology, RWTH University of Aachen, Aachen, Germany
  4. Epilepsy Center, University Medical Center, Freiburg University, Freiburg, Germany
  5. Department of Neurology, Karolinska University Hospital, Stockholm, Sweden
  6. Oxford Epilepsy Research Group, Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, UK
  7. Division of Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College, London, UK
  8. Epilepsy Reference Center, Coimbra University Hospital, Coimbra, Portugal
  9. Department of Development and Regeneration, KU Leuven, Leuven, Belgium
  10. Department of Neurology, University Hospitals Leuven, Leuven, Belgium
Journal: Epilepsia open, volume 11, issue 3, pages 883-894
Dates: received 14 October 2025; accepted 2 March 2026; published online 8 April 2026; in print June 2026
Type: Research article · Language: English
License: CC BY-NC-ND
Identifiers: DOI 10.1002/epi4.70260 · PMID 41949013 · PMCID PMC13238671 · OpenAlex W7151825148
Open access: gold, a free copy (OpenAlex)
Status: data only
Categories: EEG (modality), other (modality), human (organism), epilepsy (population)
Methods: Physiology & signal measures
Keywords: focal seizures, machine learning, seizure detection, wearable devices
MeSH: Drug Resistant Epilepsy*, Electroencephalography*, Epilepsies, Partial*, Seizures*, Video Recording*, Wearable Electronic Devices*, Adult, Algorithms, Electrocardiography, Female, Humans, Male, Middle Aged, Sensitivity and Specificity, Young Adult (* major topic)
Topic: EEG and Brain-Computer Interfaces (Cognitive Neuroscience, Neuroscience), according to OpenAlex
Funding: Fonds Wetenschappelijk Onderzoek (G0D8321N, 1SB5922N); EIT Health (21263); Vlaamse regering
Citations: not cited yet (Europe PMC); 29 references in the paper

Abstract

The abstract is not reproduced here: the paper's license (CC BY-NC-ND) does not allow it. Read it in the paper, at the publisher or on Europe PMC.

Code

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Data

Datasets cited

Data availability statement

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Read it in the paper: doi.org/10.1002/epi4.70260.

Versions

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Version 1, 29 September 2026: the first record

Recorded: type, language, journal, volume, issue, pages, dates, 20 authors, 4 keywords, 15 MeSH terms, 3 funders, 27 references.

Cite

This paper

Swinnen, L., Bhagubai, M., Chatzichristos, C., Weber, Y., Wolking, S., Ermis, U., Schriewer, E., Schulze‐Bonhage, A., Dümpelmann, M., Zabler, N., Epitashvilli, N., Mahler, B., Sen, A., Symmonds, M., Richardson, M. P., Biondi, A., Sales, F., Sulaiman, A., De Vos, M., & Van Paesschen, W. (2026). A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study. Epilepsia open, 11(3), 883-894. https://doi.org/10.1002/epi4.70260

BibTeX

@article{swinnen2026multicenter,
author = {Swinnen, Lauren and Bhagubai, Miguel and Chatzichristos, Christos and Weber, Yvonne and Wolking, Stefan and Ermis, Ummehan and Schriewer, Elisabeth and Schulze‐Bonhage, Andreas and Dümpelmann, Matthias and Zabler, Nicolas and Epitashvilli, Nino and Mahler, Benno and Sen, Arjune and Symmonds, Mkael and Richardson, Mark P and Biondi, Andrea and Sales, Francisco and Sulaiman, Abuhaiba and De Vos, Maarten and Van Paesschen, Wim},
title = {{A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study}},
journal = {Epilepsia open},
year = {2026},
month = apr,
volume = {11},
number = {3},
pages = {883--894},
publisher = {Wiley},
issn = {2470-9239},
doi = {10.1002/epi4.70260},
url = {https://doi.org/10.1002/epi4.70260},
pmid = {41949013},
pmcid = {PMC13238671}
}

RIS

TY - JOUR
AU - Swinnen, Lauren
AU - Bhagubai, Miguel
AU - Chatzichristos, Christos
AU - Weber, Yvonne
AU - Wolking, Stefan
AU - Ermis, Ummehan
AU - Schriewer, Elisabeth
AU - Schulze‐Bonhage, Andreas
AU - Dümpelmann, Matthias
AU - Zabler, Nicolas
AU - Epitashvilli, Nino
AU - Mahler, Benno
AU - Sen, Arjune
AU - Symmonds, Mkael
AU - Richardson, Mark P
AU - Biondi, Andrea
AU - Sales, Francisco
AU - Sulaiman, Abuhaiba
AU - De Vos, Maarten
AU - Van Paesschen, Wim
TI - A multicenter, video-EEG-based validation of a multimodal wearable device for focal seizure detection in adults: The SeizeIT2 study
T2 - Epilepsia open
J2 - Epilepsia Open
PY - 2026
DA - 2026/04/08
VL - 11
IS - 3
SP - 883
EP - 894
SN - 2470-9239
PB - Wiley
DO - 10.1002/epi4.70260
UR - https://doi.org/10.1002/epi4.70260
LA - en
ER -

CSL-JSON

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