基于COTS RFID标签的非接触式呼吸和心跳监测系统

Run Zhao, Dong Wang, Qian Zhang, Haonan Chen, Anna Huang
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引用次数: 33

摘要

监测呼吸和心跳有助于疾病预测、亚健康诊断、运动和睡眠质量分析、疲劳预警,甚至情绪估计。人们迫切需要非接触式、易于部署和长期的呼吸和心跳监测。在本文中,我们提出了CRH,一个基于rfid的非接触式呼吸和心跳监测系统。关键的洞察是,由胸部运动引起的RFID信号波动与呼吸和心跳是同步的。因此,CRH利用一系列信号处理技术,从身体附近或身体上的标签阵列收集时间相位信息,提取呼吸和心跳信号。提出了一种基于多标签经验模式分解(EMD)的信号分离方法,在预处理后得到呼吸速率和心率。此外,CRH还可以检测剧烈运动和异常呼吸。我们使用商用现货(COTS) RFID设备实施和评估CRH。不同场景下的大量实验结果表明,CRH在多用户呼吸和心率监测中具有较高的准确性,验证了其在非接触式细粒度呼吸和心率监测中的广泛适用性和高可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
CRH: A Contactless Respiration and Heartbeat Monitoring System with COTS RFID Tags
Monitoring respiration and heartbeat contributes to disease prediction, sub-health diagnosis, exercise and sleep quality analysis, fatigue warning, and even emotion estimation. There is a compelling need for contactless, easy-to-deploy and long-term respiration and heartbeat monitoring. In this paper, we present CRH, an RFID-based contactless respiration and heartbeat monitoring system. The key insight is that the RFID signal fluctuation induced by the chest motion is synchronous with respiration and heartbeat. Therefore, CRH collects the temporal phase information from the tag array near or on body to extract respiration and heartbeat signals using a sequence of signal processing techniques. We propose a signal separation method based on multi-tag empirical mode decomposition (EMD) to obtain respiration rate and heart rate after preprocessing. Furthermore, CRH can also detect intense motions and abnormal respiration. We implement and evaluate CRH using Commercial Off-The-Shelf (COTS) RFID devices. Extensive experimental results in different scenarios show that CRH can achieve high accuracy for monitoring multi-user respiration and heart rates, validating its wide applicability and high reliability for contactless fine-grained respiration and heartbeat monitoring.
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