使用数学建模和可穿戴设备进行实时、个性化的睡眠干预。

IF 5.3 2区 医学 Q1 CLINICAL NEUROLOGY Sleep Pub Date : 2023-09-08 DOI:10.1093/sleep/zsad179
Yun Min Song, Su Jung Choi, Se Ho Park, Soo Jin Lee, Eun Yeon Joo, Jae Kyoung Kim
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引用次数: 3

摘要

人工光照的普遍性使我们能够在白天或晚上的任何时候都保持活跃,这导致我们需要在传统的白天时间之外保持高度警惕。为了满足这一需求,我们开发了一个个性化的睡眠干预框架,该框架分析从可穿戴设备获得的真实世界的睡眠-觉醒模式,以最大限度地提高特定目标时期的警觉性。我们的框架利用了一个数学模型,该模型基于用户的睡眠历史来跟踪动态睡眠压力和昼夜节律。通过这种方式,该模型准确地预测了实时警觉性,即使对于睡眠和工作时间表复杂的轮班工人也是如此(N = 71,吨 = 13~21天)。这使我们发现了一种新的睡眠-觉醒模式,称为适应性昼夜节律分裂睡眠,它包括主睡眠期和晚睡,以使轮班工人在工作和非工作期间都能保持高度警觉。我们进一步开发了一个移动应用程序,该应用程序集成了该框架,为个人用户推荐实用的个性化睡眠时间表,以根据他们想要的睡眠开始时间和可用的睡眠持续时间,在有针对性的活动时间内最大限度地提高他们的警觉性。这可以降低那些在非传统活动时间需要高度警惕的人出错的风险,并改善那些过着轮班工作等生活方式的人的健康和生活质量。
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A real-time, personalized sleep intervention using mathematical modeling and wearable devices.

The prevalence of artificial light exposure has enabled us to be active any time of the day or night, leading to the need for high alertness outside of traditional daytime hours. To address this need, we developed a personalized sleep intervention framework that analyzes real-world sleep-wake patterns obtained from wearable devices to maximize alertness during specific target periods. Our framework utilizes a mathematical model that tracks the dynamic sleep pressure and circadian rhythm based on the user's sleep history. In this way, the model accurately predicts real-time alertness, even for shift workers with complex sleep and work schedules (N = 71, t = 13~21 days). This allowed us to discover a new sleep-wake pattern called the adaptive circadian split sleep, which incorporates a main sleep period and a late nap to enable high alertness during both work and non-work periods of shift workers. We further developed a mobile application that integrates this framework to recommend practical, personalized sleep schedules for individual users to maximize their alertness during a targeted activity time based on their desired sleep onset and available sleep duration. This can reduce the risk of errors for those who require high alertness during nontraditional activity times and improve the health and quality of life for those leading shift work-like lifestyles.

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来源期刊
Sleep
Sleep 医学-临床神经学
CiteScore
10.10
自引率
10.70%
发文量
1134
审稿时长
3 months
期刊介绍: SLEEP® publishes findings from studies conducted at any level of analysis, including: Genes Molecules Cells Physiology Neural systems and circuits Behavior and cognition Self-report SLEEP® publishes articles that use a wide variety of scientific approaches and address a broad range of topics. These may include, but are not limited to: Basic and neuroscience studies of sleep and circadian mechanisms In vitro and animal models of sleep, circadian rhythms, and human disorders Pre-clinical human investigations, including the measurement and manipulation of sleep and circadian rhythms Studies in clinical or population samples. These may address factors influencing sleep and circadian rhythms (e.g., development and aging, and social and environmental influences) and relationships between sleep, circadian rhythms, health, and disease Clinical trials, epidemiology studies, implementation, and dissemination research.
期刊最新文献
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