论文标题
从智能手表收集的心率和体育锻炼的纵向分析
Longitudinal Analysis of Heart Rate and Physical Activity Collected from Smartwatches
论文作者
论文摘要
智能手表（SWS）可以连续，自主监测生命体征，包括涉及手腕运动的心率和体育活动。 SWS的监测能力具有一些关键的健康益处，这是由于它们在预防和诊断医学中的作用而产生的。但是，当前的研究并未探索包括纵向研究在内的许多机会。在我们的工作中，我们收集了来自1,014个用户所穿的各种SWS的纵向数据点，例如心率和体育活动。我们的分析显示睡眠期间三种常见的心率模式，但白天有两个常见的模式。我们发现，与其他几个月相比，夏季和新年的第一个月的心率和体育活动都更高。此外，与工作日相比，周末的体育活动减少。有趣的是，体育锻炼的最高峰是在晚上。
Smartwatches (SWs) can continuously and autonomously monitor vital signs, including heart rates and physical activities involving wrist movement. The monitoring capability of SWs has several key health benefits arising from their role in preventive and diagnostic medicine. Current research, however, has not explored many of these opportunities, including longitudinal studies. In our work, we gathered longitudinal data points, e.g., heart rate and physical activity, from various brands of SWs worn by 1,014 users. Our analysis shows three common heart rate patterns during sleep but two common patterns during the day. We find that heart rate and physical activities are higher in summer and the first month of the new year compared to other months. Moreover, physical activities are reduced on weekends compared with weekdays. Interestingly, the highest peak of physical activity is during the evening.
