ArticleAnnals of clinical and translational neurology2015
Interobserver agreement for neonatal seizure detection using multichannel EEG.
Article in Annals of clinical and translational neurology, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 59 citations in OpenAlex.
- Pitfalls of using video-EEG for a trial endpoint in children aged <4 years with focal seizures.Annals of clinical and translational neurology · 2024Trial
- A Pilot Randomized, Controlled, Double-Blind Trial of Bumetanide to Treat Neonatal Seizures.Annals of neurology · 2021Trial
- A machine-learning algorithm for neonatal seizure recognition: a multicentre, randomised, controlled trial.The Lancet. Child & adolescent health · 2020Trial
- Assessing a reduced-channel algorithm for end-to-end seizure detection on multiday EEG using inter-rater agreement with epileptologists.Scientific reports · 2026Article
- Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG.NPJ digital medicine · 2025Article
- Analysis of the impact of deep learning know-how and data in modelling neonatal EEG.Scientific reports · 2024Article
- Automatic assessment of infant carrying and holding using at-home wearable recordings.Scientific reports · 2024Article
- A deep learning framework for epileptic seizure detection based on neonatal EEG signals.Scientific reports · 2022Article
- A method for AI assisted human interpretation of neonatal EEG.Scientific reports · 2022Article
- Ensemble Learning Using Individual Neonatal Data for Seizure Detection.IEEE journal of translational engineering in health and medicine · 2022Article
- Wearable Reduced-Channel EEG System for Remote Seizure Monitoring.Frontiers in neurology · 2021Article
- Reliability and accuracy of EEG interpretation for estimating age in preterm infants.Annals of clinical and translational neurology · 2020Article
- Attention-Based Network for Weak Labels in Neonatal Seizure Detection.Proceedings of machine learning research · 2020Article
- Characterisation of neonatal seizures and their treatment using continuous EEG monitoring: a multicentre experience.Archives of disease in childhood. Fetal and neonatal edition · 2019Article
- Analysis of a Low-Cost EEG Monitoring System and Dry Electrodes toward Clinical Use in the Neonatal ICU.Sensors (Basel, Switzerland) · 2019Article
- Recommendations for the design of therapeutic trials for neonatal seizures.Pediatric research · 2019Article
- A dataset of neonatal EEG recordings with seizure annotations.Scientific data · 2019Article
- Interrater and Intrarater Agreement in Neonatal Electroencephalogram Background Scoring.Journal of clinical neurophysiology : official publication of the American Electroencephalographic Society · 2019Article
- Causes and Factors Associated with Neonatal Seizure and its Short-term Outcome: A Retrospective Prognostic Cohort Study.Iranian journal of child neurology · 2018Article
- Network dynamics in the healthy and epileptic developing brain.Network neuroscience (Cambridge, Mass.) · 2018Article
Corrections and comments
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Authors and funding
6 authors at 5 institutions in 5 countries.
Funding
Abstract
objectiveTo determine the interobserver agreement (IOA) of neonatal seizure detection using the gold standard of conventional, multichannel EEG.
methodsA cohort of full-term neonates at risk of acute encephalopathy was included in this prospective study. The EEG recordings of these neonates were independently reviewed for seizures by three international experts. The IOA was estimated using statistical measures including Fleiss' kappa and percentage agreement assessed over seizure events (event basis) and seizure duration (temporal basis).
resultsA total of 4066 h of EEG recordings from 70 neonates were reviewed with an average of 2555 seizures detected. The IOA was high with temporal assessment resulting in a kappa of 0.827 (95% CI: 0.769-0.865; n = 70). The median agreement was 83.0% (interquartile range [IQR]: 76.6-89.5%; n = 33) for seizure and 99.7% (IQR: 98.9-99.8%; n = 70) for nonseizure EEG. Analysis of events showed a median agreement of 83.0% (IQR: 72.9-86.6%; n = 33) for seizures with 0.018 disagreements per hour (IQR: 0.000-0.090 per hour; n = 70). Observers were more likely to disagree when a seizure was less than 30 sec. Overall, 33 neonates were diagnosed with seizures and 28 neonates were not, by all three observers. Of the remaining nine neonates with contradictory EEG detections, seven presented with low total seizure burden.
interpretationThe IOA is high among experts for the detection of neonatal seizures using conventional, multichannel EEG. Agreement is reduced when seizures are rare or have short duration. These findings support EEG-based decision making in the neonatal intensive care unit, inform EEG interpretation guidelines, and provide benchmarks for seizure detection algorithms.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.