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Dataset Information

Interrater and Intrarater Agreement in Neonatal Electroencephalogram Background Scoring.


ABSTRACT:

Purpose

Many neonates undergo electroencephalogram (EEG) monitoring to identify and manage acute symptomatic seizures. Information about brain function contained in the EEG background data may also help predict neurobehavioral outcomes. For EEG background features to be useful as prognostic indicators, the interpretation of these features must be standardized across electroencephalographers. We aimed at determining the interrater and intrarater agreement among electroencephalographers interpreting neonatal EEG background patterns.

Methods

Five neonatal electroencephalographers reviewed 5-to-7.5-minute epochs of EEG from full-term neonates who underwent continuous conventional EEG monitoring. The EEG assessment tool used to classify background patterns was based on the Americ

SUBMITTER: Massey SL 

PROVIDER: S-EPMC6322680 | biostudies-literature | 2019 Jan

REPOSITORIES: biostudies-literature