Intra-and Inter-Subject Perspectives on the Detection of Focal Onset Motor Seizures in Epilepsy Patients

Intra-and Inter-Subject Perspectives on the Detection of Focal Onset Motor Seizures in Epilepsy Patients

Focal onset epileptic seizures are highly heterogeneous in their clinical manifestations, and a robust seizure detection across patient cohorts has to date not been achieved. Here, we assess and discuss the potential of supervised machine learning models for the detection of focal onset motor seizur...

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Bibliographic Details
Main Authors: Böttcher, S. (Author), Bruno, E. (Author), Dümpelmann, M. (Author), Epitashvili, N. (Author), Glasstetter, M. (Author), Lees, S. (Author), Richardson, M.P (Author), Schulze-Bonhage, A. (Author), Thorpe, S. (Author), Ticcinelli, V. (Author), Van Laerhoven, K. (Author), Zabler, N. (Author)
Format: Article
Language:English
Published: MDPI 2022
Subjects:
Accelerometry
Adaptive boosting
Clinical manifestation
digital health
Digital health
eHealth
Ehealth
epilepsy
Errors
False alarm rate
Image resolution
Machine learning models
mHealth
mobile health
multimodal
Multi-modal
Neurology
seizure detection
Seizure-detection
Supervised learning
Supervised machine learning
Wearable devices
Wearable technology
wearables
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