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 , DE

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

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

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

5 UCB Pharma , Brussels , BE

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

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

8 see Acknowledgements , London , GB

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