ArticleScientific data2019
A dataset of neonatal EEG recordings with seizure annotations.
Article in Scientific data, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 49 papers, 2 of them syntheses that pooled it.
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Who cites it
49 citing papers in PubMed, 2 syntheses or guidelines pooled it, 200 citations in OpenAlex.
- Accuracy of Machine Learning in Detecting Pediatric Epileptic Seizures: Systematic Review and Meta-Analysis.Journal of medical Internet research · 2024Pooled it
- EEG-Based Epileptic Seizure Detection via Machine/Deep Learning Approaches: A Systematic Review.Computational intelligence and neuroscience · 2022Pooled it
- Seizure detection using hierarchical temporal trend integration and self-supervised learning.Scientific reports · 2026Article
- Quantifying Cortical Maturational Aspects During Different Vigilance States in Preterm Infants by Advanced EEG Analysis.Journal of sleep research · 2026Article
- M2EEG-VR: Validation of EEG Visualization and Sonification for the Detection of Neonatal Seizures on a Virtual Reality Platform.Sensors (Basel, Switzerland) · 2026Article
- Artificial Intelligence and Machine Learning in Pediatric Epilepsy: A Systematic Review.Neurology and therapy · 2026Review
- Differential quadruple pattern: A new EEG signal classification framework.IBRO neuroscience reports · 2026Article
- Machine-learning methods for epilepsy diagnosis and therapeutic prevention: advances, setbacks, and opportunities.Neurological sciences : official journal of the Italian Neurological Society and of the Italian Society of Clinical Neurophysiology · 2026Review
- Behavioral and electroencephalographic dataset simultaneously acquired during the Iowa gambling task.Scientific data · 2026Article
- Generalization or mirage? Data leakage and reported performance in neonatal EEG seizure detection models: a systematic review.BioData mining · 2026Review
- Reimagining paediatric care: technology, trust, and the global movement for child-centred innovation.Frontiers in medicine · 2026Review
- An open-source JavaScript clinical neurophysiology library for education and clinical research.Clinical neurophysiology practice · 2026Article
- Comprehensive review of machine learning and deep learning techniques for epileptic seizure detection and prediction based on neuroimaging modalities.Visual computing for industry, biomedicine, and art · 2025Review
- Different Patterns of Cortical Electrical Activity by Tactile, Acoustic and Visual Stimuli in Infants: An EEG Exploratory Study.Diagnostics (Basel, Switzerland) · 2025Article
- Neonatal seizure detection from EEG using inception ResNetV2 feature extraction and XGBoost optimized with particle swarm optimization.Scientific reports · 2025Article
- Short-horizon neonatal seizure prediction using EEG-based deep learning.PLOS digital health · 2025Article
- Canine EEG helps human: cross-species and cross-modality epileptic seizure detection via multi-space alignment.National science review · 2025Article
- Retraining and evaluation of machine learning and deep learning models for seizure classification from EEG data.Scientific reports · 2025Article
- Scaling convolutional neural networks achieves expert level seizure detection in neonatal EEG.NPJ digital medicine · 2025Article
- Co-developing sleep-wake and sensory foundations for cognition in the human fetus and newborn.Developmental cognitive neuroscience · 2025Review
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Neonatal seizures are a common emergency in the neonatal intensive care unit (NICU). There are many questions yet to be answered regarding the temporal/spatial characteristics of seizures from different pathologies, response to medication, effects on neurodevelopment and optimal detection. The dataset presented in this descriptor contains EEG recordings from human neonates, the visual interpretation of the EEG by the human experts, supporting clinical data and codes to assist access. Multi-channel EEG was recorded from 79 term neonates admitted to the NICU at the Helsinki University Hospital. The median recording duration was 74 min (IQR: 64 to 96 min). The presence of seizures in the EEGs was annotated independently by three experts. An average of 460 seizures were annotated per expert in the dataset; 39 neonates had seizures and 22 were seizure free, by consensus. The dataset can be used as a reference set of neonatal seizures, in studies of inter-observer agreement and for the development of automated methods of seizure detection and other EEG analyses.
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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.