心跳
计算机科学
睡眠(系统调用)
微控制器
延迟(音频)
睡眠质量
实时计算
召回
人工智能
模拟
嵌入式系统
电信
医学
心理学
认知
计算机网络
操作系统
精神科
认知心理学
作者
Tauhidur Rahman,Alexander T. Adams,Ruth Ravichandran,Mi Zhang,Shwetak Patel,Julie A. Kientz,Tanzeem Choudhury
标识
DOI:10.1145/2750858.2804280
摘要
In this paper, we present DoppleSleep -- a contactless sleep sensing system that continuously and unobtrusively tracks sleep quality using commercial off-the-shelf radar modules. DoppleSleep provides a single sensor solution to track sleep-related physical and physiological variables including coarse body movements and subtle and fine-grained chest, heart movements due to breathing and heartbeat. By integrating vital signals and body movement sensing, DoppleSleep achieves 89.6% recall with Sleep vs. Wake classification and 80.2% recall with REM vs. Non-REM classification compared to EEG-based sleep sensing. Lastly, it provides several objective sleep quality measurements including sleep onset latency, number of awakenings, and sleep efficiency. The contactless nature of DoppleSleep obviates the need to instrument the user's body with sensors. Lastly, DoppleSleep is implemented on an ARM microcontroller and a smartphone application that are benchmarked in terms of power and resource usage.
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