A dataset of neonatal EEG recordings with seizure annotations

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 datas...

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Bibliographic Details
Published inScientific data Vol. 6; no. 1; p. 190039
Main Authors Stevenson, N. J., Tapani, K., Lauronen, L., Vanhatalo, S.
Format Journal Article
LanguageEnglish
Published London Nature Publishing Group UK 05.03.2019
Nature Publishing Group
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Summary: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. Design Type(s) time series design • data annotation objective • subject-based data analysis objective Measurement Type(s) seizures Technology Type(s) electroencephalography Factor Type(s) Sample Characteristic(s) Homo sapiens • brain Machine-accessible metadata file describing the reported data (ISA-Tab format)
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S.V. designed and organized original data collection from clinical archives. N.S. and S.V. designed the collation of dataset for the present use. N.S. and K.T. performed the technical preparation for open access use. S.V. and L.L. collated and verified clinical aspects of dataset. N.S. and S.V. drafted the article, and all authors revised the article.
ISSN:2052-4463
2052-4463
DOI:10.1038/sdata.2019.39