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使用数字睡眠追踪器评估疲劳和睡眠:一项多设备初步研究的新发现。

Fatigue and Sleep Assessment using Digital Sleep Trackers: Insights from a Multi-Device Pilot Study.

出版信息

Annu Int Conf IEEE Eng Med Biol Soc. 2022 Jul;2022:1133-1136. doi: 10.1109/EMBC48229.2022.9870923.

Abstract

For the patient community with neurodegenerative disorders (NDD) and immune-mediated inflammatory diseases (IMID), fatigue and sleep disturbances stand out as two of the most common and disabling symptoms, which mightily impair patient's quality of life. Traditional questionnaire-oriented approaches to reflect such symptoms suffer from recall bias and poor sensitivity to change. By virtue of multiple sensing modalities at home, IDEA-FAST project aims to identify novel digital endpoints of fatigue and sleep disturbances, that are objective, reliable and sensitive to change. This article presents and discusses results from a pilot study of IDEA-FAST to evaluate the feasibility of capturing sleep and fatigue measures from three sleep trackers. Data collected from 143 participants (age range: 21-82) across 6 disease groups and healthy cohort for a period of 9 months, were investigated using our proposed sensor analytical pipeline. The overall performance reveals that the median coverage rate of sleep trackers ranged from 48.3% to 76.9%. Furthermore, the digital measures obtained from each device, indicated a higher association with sleep related patient reported outcomes (PROs) than fatigue related ones, when taking all participants into account.

摘要

对于患有神经退行性疾病 (NDD) 和免疫介导的炎症性疾病 (IMID) 的患者群体而言,疲劳和睡眠障碍是最常见和最具致残性的症状之一,极大地影响了患者的生活质量。传统的基于问卷的方法在反映这些症状时存在回忆偏差和对变化的敏感性差的问题。IDEAFAST 项目利用家庭中的多种传感模式,旨在确定疲劳和睡眠障碍的新的数字终点,这些终点是客观的、可靠的且对变化敏感的。本文介绍并讨论了 IDEA-FAST 试点研究的结果,以评估从三个睡眠追踪器中捕获睡眠和疲劳测量的可行性。该研究在 9 个月的时间里,从 6 个疾病组和健康队列中收集了 143 名参与者(年龄范围:21-82 岁)的数据,使用我们提出的传感器分析管道对这些数据进行了研究。整体性能表明,睡眠追踪器的中位覆盖率范围为 48.3%至 76.9%。此外,当考虑所有参与者时,从每个设备获得的数字测量值与睡眠相关的患者报告结果 (PRO) 的相关性高于与疲劳相关的 PRO。

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