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...
Saved in:
Published in | Scientific data Vol. 6; no. 1; p. 190039 |
---|---|
Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
London
Nature Publishing Group UK
05.03.2019
Nature Publishing Group |
Subjects | |
Online Access | Get full text |
Cover
Loading…
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) |
---|---|
Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 14 ObjectType-Article-2 ObjectType-Undefined-1 ObjectType-Feature-3 content type line 23 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 |