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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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Detalles Bibliográficos
Autores principales: Stevenson, N. J., Tapani, K., Lauronen, L., Vanhatalo, S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400100/
https://www.ncbi.nlm.nih.gov/pubmed/30835259
http://dx.doi.org/10.1038/sdata.2019.39
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author Stevenson, N. J.
Tapani, K.
Lauronen, L.
Vanhatalo, S.
author_facet Stevenson, N. J.
Tapani, K.
Lauronen, L.
Vanhatalo, S.
author_sort Stevenson, N. J.
collection PubMed
description 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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spelling pubmed-64001002019-03-06 A dataset of neonatal EEG recordings with seizure annotations Stevenson, N. J. Tapani, K. Lauronen, L. Vanhatalo, S. Sci Data Data Descriptor 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. Nature Publishing Group 2019-03-05 /pmc/articles/PMC6400100/ /pubmed/30835259 http://dx.doi.org/10.1038/sdata.2019.39 Text en Copyright © 2019, The Author(s) http://creativecommons.org/licenses/by/4.0/ Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files made available in this article.
spellingShingle Data Descriptor
Stevenson, N. J.
Tapani, K.
Lauronen, L.
Vanhatalo, S.
A dataset of neonatal EEG recordings with seizure annotations
title A dataset of neonatal EEG recordings with seizure annotations
title_full A dataset of neonatal EEG recordings with seizure annotations
title_fullStr A dataset of neonatal EEG recordings with seizure annotations
title_full_unstemmed A dataset of neonatal EEG recordings with seizure annotations
title_short A dataset of neonatal EEG recordings with seizure annotations
title_sort dataset of neonatal eeg recordings with seizure annotations
topic Data Descriptor
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6400100/
https://www.ncbi.nlm.nih.gov/pubmed/30835259
http://dx.doi.org/10.1038/sdata.2019.39
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