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arXiv 2102.13284eess.SPstat.AP
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大量真实世界的儿科睡眠研究

A Large Collection of Real-world Pediatric Sleep Studies

Harlin Lee, Boyue Li, Shelly DeForte, Mark Splaingard, Yungui Huang, Yuejie Chi, Simon Lin Linwood

摘要:

尽管睡眠对健康和生活质量至关重要,但人们对睡眠,特别是儿科睡眠的了解还不够。缺乏足够的儿科睡眠数据与临床注释加剧了这一问题。为了加速对儿童睡眠及其与健康关系的研究,我们创建了全国儿童医院(NCH)睡眠数据库,并将其发布在Physionet和国家睡眠研究资源(NSRR)上,这是一个与生理数据,临床数据和分析工具共同的大型睡眠数据。NCH睡眠数据库包括2017年至2019年NCH的3,673名独特患者的3,984项多导睡眠图研究和超过560万次临床观察。该数据集的新颖性包括:1)适合通过数据挖掘发现新见解的大规模睡眠数据集,2)明确关注儿科患者,3)在真实世界的临床环境中收集,以及4)伴随的丰富临床数据集。NCH睡眠数据库是推进自动睡眠评分和实时睡眠障碍预测以及许多其他潜在科学发现的宝贵资源。

英文摘要:

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.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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