Published on in Vol 9, No 11 (2021): November
![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](https://asset.jmir.pub/assets/f5d1913a0d9b7f2e4887ca4b4d75bd91.png 480w,https://asset.jmir.pub/assets/f5d1913a0d9b7f2e4887ca4b4d75bd91.png 960w,https://asset.jmir.pub/assets/f5d1913a0d9b7f2e4887ca4b4d75bd91.png 1920w,https://asset.jmir.pub/assets/f5d1913a0d9b7f2e4887ca4b4d75bd91.png 2500w)
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