Center for Wireless Information Systems and Computational Architectures (WISCA), School of Electrical, Computer and Energy Engineering, Arizona State University, Tempe, AZ 85281, USA.
Sensors (Basel). 2021 Mar 4;21(5):1774. doi: 10.3390/s21051774.
Microwave radar technology is very attractive for ubiquitous short-range health monitoring due to its non-contact, see-through, privacy-preserving and safe features compared to the competing remote technologies such as optics. The possibility of radar-based approaches for breathing and cardiac sensing was demonstrated a few decades ago. However, investigation regarding the robustness of radar-based vital-sign monitoring (VSM) is not available in the current radar literature. In this paper, we aim to close this gap by presenting an extensive experimental study of vital-sign radar approach. We consider diversity in test subjects, fitness levels, poses/postures, and, more importantly, random body movement (RBM) in the study. We discuss some new insights that lead to robust radar heart-rate (HR) measurements. A novel active motion cancellation signal-processing technique is introduced, exploiting dual ultra-wideband (UWB) radar system for motion-tolerant HR measurements. Additionally, we propose a spectral pruning routine to enhance HR estimation performance. We validate the proposed method theoretically and experimentally. Totally, we record and analyze about 3500 seconds of radar measurements from multiple human subjects.
微波雷达技术由于其非接触、透视、隐私保护和安全等特点，相对于竞争的远程技术（如光学），非常适合无处不在的短距离健康监测。几十年来，已经证明了基于雷达的呼吸和心脏感应方法的可能性。然而，目前的雷达文献中没有关于基于雷达的生命体征监测（VSM）的稳健性的研究。在本文中，我们旨在通过对生命体征雷达方法进行广泛的实验研究来弥补这一空白。我们考虑了测试对象、健康水平、姿势/体位的多样性，更重要的是，研究中还考虑了随机身体运动（RBM）。我们讨论了一些新的见解，这些见解导致了稳健的雷达心率（HR）测量。引入了一种新颖的主动运动消除信号处理技术，利用双超宽带（UWB）雷达系统进行抗运动的 HR 测量。此外，我们还提出了一种频谱修剪例程来增强 HR 估计性能。我们从理论和实验两方面验证了所提出的方法。总共，我们从多个人体对象记录和分析了约 3500 秒的雷达测量数据。
