Reliability and accuracy of EEG interpretation for estimating age in preterm infants.

ABSTRACT:

Objectives

To determine the accuracy of, and agreement among, EEG and aEEG readers' estimation of maturity and a novel computational measure of functional brain age (FBA) in preterm infants.

Methods

Seven experts estimated the postmenstrual ages (PMA) in a cohort of recordings from preterm infants using cloud-based review software. The FBA was calculated using a machine learning-based algorithm. Error analysis was used to determine the accuracy of PMA assessments and intraclass correlation (ICC) was used to assess agreement between experts.

Results

EEG recordings from a PMA range 25 to 38 weeks were successfully interpreted. In 179 recordings from 62 infants interpreted by all human readers, there was moderate agreement between experts (aEEG ICC = 0.724; 95%CI:0.658-0

SUBMITTER: Stevenson NJ 

PROVIDER: S-EPMC7480927 | biostudies-literature | 2020 Sep

REPOSITORIES: biostudies-literature