Smartphone Sonar-Based Contact-Free Respiration Rate Monitoring

Smartphone Sonar-Based Contact-Free Respiration Rate Monitoring
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DOI:
10.1145/3436822
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发表时间:
2021-02
期刊:
ACM Transactions on Computing for Healthcare
影响因子:
--
通讯作者:
Xuyu Wang;Runze Huang;Chao Yang;S. Mao
Xuyu Wang;Runze Huang;Chao Yang;S. Mao
中科院分区:
其他
文献类型:
--
作者:
Xuyu Wang;Runze Huang;Chao Yang;S. Mao

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生命体征(如呼吸频率)监测变得越来越重要,因为它为睡眠障碍等医疗状况提供了有用的线索。迫切需要能够在较长一段时间内实现无接触和轻松部署生命体征监测的技术。在本文中,我们介绍了一种SonarBeat系统,该系统利用基于相位的主动声呐来监测智能手机的呼吸速率。我们提供了声纳相位分析,并讨论了利用不可听声信号估计呼吸速率的技术挑战。此外,我们设计并实现了SonarBeat系统,包括信号生成、数据提取、接收信号预处理和呼吸频率估计等组件。我们的大量实验结果验证了SonarBeat在不同室内环境设置中的优越性能。
Vital sign (e.g., respiration rate) monitoring has become increasingly more important because it offers useful clues about medical conditions such as sleep disorders. There is a compelling need for technologies that enable contact-free and easy deployment of vital sign monitoring over an extended period of time for healthcare. In this article, we present a SonarBeat system to leverage a phase-based active sonar to monitor respiration rates with smartphones. We provide a sonar phase analysis and discuss the technical challenges for respiration rate estimation utilizing an inaudible sound signal. Moreover, we design and implement the SonarBeat system, with components including signal generation, data extraction, received signal preprocessing, and breathing rate estimation with Android smartphones. Our extensive experimental results validate the superior performance of SonarBeat in different indoor environment settings.