Title: A dataset of neonatal EEG recordings with seizures annotations
Type Dataset Nathan Stevenson, Karoliina Tapani, Leena Lauronen, Sampsa Vanhatalo (2018): A dataset of neonatal EEG recordings with seizures annotations. Zenodo. Dataset. https://zenodo.org/record/1280684
Links
- Item record in Zenodo
- Digital object URL
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. This dataset contains EEG recordings from human neonates and the visual interpretation of the EEG by the human expert. Multi-channel EEG was recorded from 79 term neonates admitted to the neonatal intensive care unit (NICU) at the Helsinki University Hospital. The median recording duration was 74 minutes (IQR: 64 to 96 minutes). EEGs were annotated by three experts for the presence of seizures. An average of 460 seizures were annotated per expert in the dataset, 39 neonates had seizures by consensus and 22 were seizure free by consensus. The dataset can be used as a reference set of neonatal seizures, for the development of automated methods of seizure detection and other EEG analysis, as well as for the analysis of inter-observer agreement.
More information
- DOI: 10.5281/zenodo.1280684
- Language: en
Subjects
- neonatal seizures, automated seizure detection, electroencephalography
Dates
- Publication date: 2018
- Issued: June 05, 2018
Notes
Other: Other Funding Organisations Finnish Academy: RIB - Rhythms in Infant Brain: Wearables for Computational Diagnostics and Mobile Monitoring of Treatment (314450) Finnish Academy: EBA - Early Brain Activity: Embedding Adversities in Neurodevelopment (288220) Juselius Foundation: Bridging the Birth Gap: From Fetal Stress and Early Nursing to Brain Network Development (BBG) Helsinki University Central Hospital: Digital Infant Neuromonitoring in hospitals and at home (DiVaNe) and Open Database for INfant EEG (ODIN)Rights
- https://creativecommons.org/licenses/by/4.0/legalcode Creative Commons Attribution 4.0 International
- info:eu-repo/semantics/openAccess Open Access
Funding Information
| Awardnumber | Awarduri | Funderidentifier | Funderidentifiertype | Fundername |
|---|---|---|---|---|
| 656131 | info:eu-repo/grantAgreement/EC/H2020/656131/ | 10.13039/100010661 | Crossref Funder ID | European Commission |
Format
electronic resource
Relateditems
| Description | Item type | Relationship | Uri |
|---|---|---|---|
| IsVersionOf | https://doi.org/10.5281/zenodo.1280683 | ||
| IsPartOf | https://zenodo.org/communities/zenodo |