Explainable AI for wearable seizure logging: Impact of data quality, patient age, and antiseizure medication on performance

Objective seizure count estimates are crucial for ambulatory epilepsy management. Wearables have shown promise for the detection of tonic-clonic seizures but may suffer from false alarms and undetected seizures. Seizure signatures recorded by wearables often occur over prolonged periods, including i...

Full description

Saved in:

Bibliographic Details
Published in:	Seizure (London, England) Vol. 110; p. 99
Main Authors:	Halimeh, Mustafa, Jackson, Michele, Vieluf, Solveig, Loddenkemper, Tobias, Meisel, Christian
Format:	Journal Article
Language:	English
Published:	England 01.08.2023
Subjects:	Child Data Accuracy Electroencephalography - methods Epilepsy Humans Infant Retrospective Studies Seizures - diagnosis Seizures - drug therapy Wearable Electronic Devices Deep learning Antiseizure medication Epilepsy Autonomous nervous system Explainable artificial intelligence Wearables Automatic seizure logging Tonic-clonic seizure
ISSN:	1532-2688, 1532-2688
Online Access:	Get more information
Tags:	Add Tag No Tags, Be the first to tag this record!

Be the first to leave a comment!