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Interrater agreement in visual scoring of neonatal seizures based on majority voting on a web-based system: The Neoguard EEG database
•Majority voting in neonatal seizures can be used for clinical validation and to develop uniform definitions.•The duration of events and the composition of databases influence seizure recognition and agreement.•Well-described datasets help to improve EEG interpretation and serve as learning platform...
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Published in: | Clinical neurophysiology 2017-09, Vol.128 (9), p.1737-1745 |
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Main Authors: | , , , , , , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | •Majority voting in neonatal seizures can be used for clinical validation and to develop uniform definitions.•The duration of events and the composition of databases influence seizure recognition and agreement.•Well-described datasets help to improve EEG interpretation and serve as learning platform.
To assess interrater agreement based on majority voting in visual scoring of neonatal seizures.
An online platform was designed based on a multicentre seizure EEG-database. Consensus decision based on ‘majority voting’ and interrater agreement was estimated using Fleiss’ Kappa. The influences of different factors on agreement were determined.
1919 Events extracted from 280h EEG of 71 neonates were reviewed by 4 raters. Majority voting was applied to assign a seizure/non-seizure classification. 44% of events were classified with high, 36% with moderate, and 20% with poor agreement, resulting in a Kappa value of 0.39. 68% of events were labelled as seizures, and in 46%, all raters were convinced about electrographic seizures. The most common seizure duration was |
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ISSN: | 1388-2457 1872-8952 |
DOI: | 10.1016/j.clinph.2017.06.250 |