A Large Collection of Real-world Pediatric Sleep Studies

TL;DR

This paper introduces the NCH Sleep DataBank, a large, real-world pediatric sleep dataset with clinical annotations, aimed at advancing sleep research and clinical applications.

Contribution

The creation and publication of a comprehensive pediatric sleep dataset with clinical data, enabling new research and development in sleep analysis and disorder prediction.

Findings

Large-scale dataset with 3,984 studies and 5.6 million observations

Focus on pediatric sleep in real-world clinical settings

Rich clinical annotations for diverse analyses

Abstract

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.