A large collection of real-world pediatric sleep studies.

Autor: Lee H; Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA., Li B; Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA., DeForte S; Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA., Splaingard ML; Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA., Huang Y; Nationwide Children's Hospital, 700 Children's Drive, Columbus, OH, 43205, USA., Chi Y; Department of Electrical and Computer Engineering, Carnegie Mellon University, 5000 Forbes Avenue, Pittsburgh, PA, 15213, USA. yuejiechi@cmu.edu., Linwood SL; School of Medicine, University of California, Riverside, 92521 Botanic Gardens Drive, Riverside, CA, 92507, USA. simon.linwood@ucr.edu.
Jazyk: angličtina
Zdroj: Scientific data [Sci Data] 2022 Jul 19; Vol. 9 (1), pp. 421. Date of Electronic Publication: 2022 Jul 19.
DOI: 10.1038/s41597-022-01545-6
Abstrakt: Despite being crucial to health and quality of life, sleep-especially pediatric sleep-is not yet well understood. This is exacerbated by lack of access to sufficient pediatric sleep data with clinical annotation. In order to accelerate research on pediatric sleep and its connection to health, we create the Nationwide Children's Hospital (NCH) Sleep DataBank and publish it at Physionet and the National Sleep Research Resource (NSRR), which is a large sleep data common with physiological data, clinical data, and tools for analyses. The NCH Sleep DataBank consists of 3,984 polysomnography studies and over 5.6 million clinical observations on 3,673 unique patients between 2017 and 2019 at NCH. The novelties of this dataset include: (1) large-scale sleep dataset suitable for discovering new insights via data mining, (2) explicit focus on pediatric patients, (3) gathered in a real-world clinical setting, and (4) the accompanying rich set of clinical data. The NCH Sleep DataBank is a valuable resource for advancing automatic sleep scoring and real-time sleep disorder prediction, among many other potential scientific discoveries.
(© 2022. The Author(s).)
Databáze: MEDLINE
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