The ever accelerating process of urbanization urges more and more population into the swelling cities. While city residents are enjoying an entertaining life supported by advanced informatics techniques like 5G and cloud computing, the same technologies have also gradually deprived their sleep, which is crucial for their wellness. Therefore, sleep monitoring has drawn significant attention from both the research and industry communities. In this article, we first review the sleep monitoring issue and point out three essential properties of an ideal sleep healthcare system, that is, realtime guarding, fine-grained logging, and cost-effectiveness. Based on the analysis, we present SleepGuardian, a Radio Frequency (RF) based sleep healthcare system leveraging signal processing, edge computing and machine learning. SleepGuardian offers an offline sleep logging service and an online abnormality warning service. The offline service provides a fine-grained sleep log like timing and regularity of bed time, onset of sleep and night time awakenings. The online service keeps guarding the subject for any abnormal behaviors during sleep like intensive body twitches and a sudden seizure attack. Once an abnormality happens, it will automatically warn the designated contacts like a nearby emergency room or a close-by relative. We prototype SleepGuardian with low-cost WiFi devices and evaluate it in real scenarios. Experimental results demonstrate that SleepGuardian is very effective.

中文翻译：

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SleepGuardian：基于射频的医疗保健系统，远程守护您的睡眠


城市化进程的不断加快，促使越来越多的人口涌入不断膨胀的城市。在城市居民享受5G、云计算等先进信息技术支持的娱乐生活的同时，同样的技术也逐渐剥夺了他们的睡眠，而睡眠对于他们的健康至关重要。因此，睡眠监测引起了研究界和工业界的高度关注。在本文中，我们首先回顾了睡眠监测问题，并指出了理想的睡眠保健系统的三个基本属性，即实时监护、细粒度记录和成本效益。根据分析，我们推出了 SleepGuardian，这是一种基于射频 (RF) 的睡眠保健系统，利用信号处理、边缘计算和机器学习。 SleepGuardian提供离线睡眠记录服务和在线异常预警服务。离线服务提供细粒度的睡眠日志，例如就寝时间、入睡时间和夜间醒来的时间和规律。在线服务会持续监控受试者在睡眠期间的任何异常行为，例如剧烈的身体抽搐和突然的癫痫发作。一旦发生异常，它会自动向附近的急诊室或近亲等指定联系人发出警报。我们使用低成本 WiFi 设备对 SleepGuardian 进行原型设计，并在实际场景中对其进行评估。实验结果表明SleepGuardian非常有效。