Geng Fanglin, Bai Zhongrui, Zhang Hao, Liu Changyu, Wang Peng, Li Zhenfeng, Du Lidong, Chen Xianxiang, Fang Zhen
Aerospace Information Research Institute, Chinese Academy of Sciences (AIRCAS), Beijing 100094, China.
School of Electronic, Electrical and Communication Engineering, University of Chinese Academy of Sciences, Beijing 101408, China.
Bioengineering (Basel). 2024 Nov 28;11(12):1203. doi: 10.3390/bioengineering11121203.
Pulse signals can serve as important indicators of one's cardiovascular condition. However, capturing signals with stable morphology using radar under varying measurement periods remains a significant challenge. This paper reports a non-contact arterial pulse measurement method based on mmWave radar, with stable signals achieved through a range-angle focusing algorithm. A total of six subjects participated in the experiment, and the results showed that, under different measurement times, the pulse morphology of the same body part for each subject had good consistency, reaching a correlation of over 0.84, and four selected pulse signs remained stable. This is a quantitative assessment revealing a high correlation in pulse morphology measured by radar over different periods. In addition, the influence of array size and measurement distance was analyzed, providing a reference of array selection for research work with different requirements. This work offers an effective reference framework for long-term pulse measurement using radar technology.
脉搏信号可作为一个人心血管状况的重要指标。然而,在不同测量时间段内使用雷达捕获形态稳定的信号仍然是一项重大挑战。本文报道了一种基于毫米波雷达的非接触式动脉脉搏测量方法,通过距离 - 角度聚焦算法实现了稳定的信号。共有六名受试者参与了实验,结果表明,在不同测量时间下,每个受试者同一身体部位的脉搏形态具有良好的一致性,相关性超过0.84,且四个选定的脉搏特征保持稳定。这是一项定量评估,揭示了雷达在不同时间段测量的脉搏形态具有高度相关性。此外,分析了阵列大小和测量距离的影响,为不同需求的研究工作提供了阵列选择参考。这项工作为利用雷达技术进行长期脉搏测量提供了一个有效的参考框架。