SzCORE : Seizure Community Open‐Source Research Evaluation framework for the validation of electroencephalography ‐based automated seizure detection algorithms

The need for high‐quality automated seizure detection algorithms based on electroencephalography (EEG) becomes ever more pressing with the increasing use of ambulatory and long‐term EEG monitoring. Heterogeneity in validation methods of these algorithms influences the reported results and makes comp...

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Bibliographic Details
Published in:	Epilepsia (Copenhagen) Vol. 66; no. S3; pp. 14 - 24
Main Authors:	Dan, Jonathan, Pale, Una, Amirshahi, Alireza, Cappelletti, William, Ingolfsson, Thorir Mar, Wang, Xiaying, Cossettini, Andrea, Bernini, Adriano, Benini, Luca, Beniczky, Sándor, Atienza, David, Ryvlin, Philippe
Format:	Journal Article
Language:	English
Published:	United States Wiley Subscription Services, Inc 01.09.2025
Subjects:	Algorithms Business metrics Convulsions & seizures Datasets Detection Algorithms EEG Electroencephalography Electroencephalography - methods Electroencephalography - standards Epilepsy Humans Learning algorithms Machine Learning Seizures Seizures - diagnosis Seizures - physiopathology electroencephalography machine‐learning benchmark brain imaging data structure seizure detection algorithms
ISSN:	0013-9580, 1528-1167, 1528-1167
Online Access:	Get full text
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