基于可穿戴设备数据的睡眠质量和日常活动关联评估

B. Mahesworo, A. Budiarto, A. A. Hidayat, Haryono Soeparno, B. Pardamean
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引用次数: 2

摘要

良好的睡眠对保持身心健康很重要。然而,许多年轻人由于工作或学业需要而睡眠不足。更重要的是,睡眠与压力有关,许多年轻人都经历过这种情况。为了解决这个问题,许多流行病学研究表明,运动可以改善睡眠质量。另一方面,一些研究表明,日常活动与睡眠质量没有关系。在这项研究中,我们试图找到更多的证据来证明日常活动是否与睡眠质量有关。我们使用了一种市售的可穿戴设备,在7个月的时间里记录了受试者的心率、步数和深度睡眠时间。然后我们使用线性回归、XGBoost和长短期记忆来找到这些变量之间的关联。结果表明,这些变量之间不存在关联。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Sleep Quality and Daily Activity Association Assessment From Wearable Device Data
Having good sleep is important to maintain physical and mental health. However, many young adults suffer poor sleep due to work or academic demands. Even more, sleep is associated with stress which is many young adults experienced it. To solve this problem, many epidemiologic studies suggest that exercise may improve sleep quality. On the other hand, several studies show that daily activity has no association with sleep quality. In this study, we tried to find more evidence of whether the daily activity has an association with sleep quality or not. We used a commercially available wearable device to capture the subject's heart rate, step count and deep sleep duration for 7 months. Then we used linear regression, XGBoost, and Long Short-Term Memory to find an association between these variables. The results show that there was no association between these variables.
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