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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Vydané v:	Epilepsia (Copenhagen) Ročník 66; číslo S3; s. 14 - 24
Hlavní autori:	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
Médium:	Journal Article
Jazyk:	English
Vydavateľské údaje:	United States Wiley Subscription Services, Inc 01.09.2025
Predmet:	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
On-line prístup:	Získať plný text
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