Published on in Vol 9, No 11 (2021): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/27674, first published .
Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation

Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation

Detecting Tonic-Clonic Seizures in Multimodal Biosignal Data From Wearables: Methodology Design and Validation

Sebastian Böttcher   1, 2 , MSc ;   Elisa Bruno   3 , PhD ;   Nikolay V Manyakov   4 , PhD ;   Nino Epitashvili   1 , MD ;   Kasper Claes   5 , PhD ;   Martin Glasstetter   1 , MSc ;   Sarah Thorpe   6 , BSc Hons ;   Simon Lees   6 ;   Matthias Dümpelmann   1 , PhD ;   Kristof Van Laerhoven   2 , Prof Dr ;   Mark P Richardson   3, 7 , PhD ;   Andreas Schulze-Bonhage   1 , Prof Dr ;   The RADAR-CNS Consortium   8

1 Epilepsy Center, Department of Neurosurgery, Medical Center - University of Freiburg, Freiburg im Breisgau, Germany

2 Ubiquitous Computing, Department of Electrical Engineering and Computer Science, University of Siegen, Siegen, Germany

3 Division of Neuroscience, Institute of Psychiatry, Psychology & Neuroscience, King's College London, London, United Kingdom

4 Data Science Analytics & Insights, Janssen Research & Development, Beerse, Belgium

5 UCB Pharma, Brussels, Belgium

6 The RADAR-CNS Patient Advisory Board, King’s College London, London, United Kingdom

7 National Institute of Health Research Biomedical Research Centre, South London and Maudsley NHS Foundation Trust, London, United Kingdom

8 see Acknowledgements, London, United Kingdom

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