This paper is in the following e-collection/theme issue:

mHealth for Symptom and Disease Monitoring, Chronic Disease Management (1317) Machine Learning (1400) Wearable Devices and Sensors (825) mHealth for Data Collection and Research (917) Mobile Health (mhealth) (2777) New Methods (911) Neurology and Neurosciences (150)

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

Authors of this article:

Sebastian Böttcher1, 2 Author Orcid Image ;   Elisa Bruno3 Author Orcid Image ;   Nikolay V Manyakov4 Author Orcid Image ;   Nino Epitashvili1 Author Orcid Image ;   Kasper Claes5 Author Orcid Image ;   Martin Glasstetter1 Author Orcid Image ;   Sarah Thorpe6 Author Orcid Image ;   Simon Lees6 Author Orcid Image ;   Matthias Dümpelmann1 Author Orcid Image ;   Kristof Van Laerhoven2 Author Orcid Image ;   Mark P Richardson3, 7 Author Orcid Image ;   Andreas Schulze-Bonhage1 Author Orcid Image ;   The RADAR-CNS Consortium8
Article Authors Cited by (16) Tweetations (3) Metrics
All Time | Last Month | Last Six Months | Last Year
There are currently no tweets available for this article within the specified range.