Department of Mathematical Sciences, KAIST, Daejeon, Republic of Korea.
Biomedical Mathematics Group, Institute for Basic Science, Daejeon, Republic of Korea.
Sleep. 2023 Sep 8;46(9). doi: 10.1093/sleep/zsad179.
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.
人工光照的普及使我们能够在白天或晚上的任何时间保持活跃，这导致我们在传统的白天时间之外需要保持高度警觉。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，该框架分析可穿戴设备获取的真实睡眠-觉醒模式，以在特定目标时间段内最大限度地提高警觉度。我们的框架利用数学模型根据用户的睡眠历史追踪动态睡眠压力和昼夜节律。通过这种方式，该模型甚至可以准确预测轮班工人复杂的睡眠和工作时间表（N = 71，t = 13-21 天）中的实时警觉度。这使我们发现了一种新的睡眠-觉醒模式，称为适应性昼夜分割睡眠，它包含一个主要的睡眠期和一个午后小睡，以在轮班工人的工作和非工作时间都保持高度警觉。我们进一步开发了一个移动应用程序，该应用程序集成了这个框架，根据用户的期望入睡时间和可用睡眠时间，为个人用户推荐实际的、个性化的睡眠计划，以在目标活动时间最大限度地提高他们的警觉度。这可以降低那些在非传统活动时间需要高度警觉的人的错误风险，并改善那些轮班工作生活方式的人的健康和生活质量。
