生命体征
心跳
雷达
计算机科学
远程病人监护
非视线传播
连续波雷达
多普勒雷达
实时计算
遥感
信号(编程语言)
杂乱
雷达工程细节
多普勒效应
计算机视觉
声学
电信
雷达成像
无线
地理
计算机安全
外科
放射科
程序设计语言
物理
医学
天文
作者
Zhanjun Hao,Hao Yan,Xiaochao Dang,Zhongyu Ma,Wenze Ke,Peng Jin
标识
DOI:10.1145/3556558.3558578
摘要
Indoor vital signs monitoring is beneficial for people's healthy life. However, the monitoring distance limits most existing mm-wave radar-based vital signs monitoring methods. Enhancing and analyzing the echo signal helps to improve the monitoring distance. In this work, we propose remote monitoring of vital signs with the mm-wave radar (RMVS) method to achieve long-range vital signs monitoring of indoor personnel. RMVS fully uses multiple antennas to characterize the reflected signal from the chest cavity. By overlaying the signals, the dynamic signal of vital signs is enhanced, and the ambient static clutter is suppressed. RMVS constructs the mapping relationship between distance and micro-Doppler by overlaying the Doppler information at different distances. It solves the problem of low accuracy of thoracic localization in the Line-of-Sight (LOS) and Non-Line-of-Sight (NLOS) paths by the traditional radar respiratory heartbeat monitoring method. It uses a new vital sign data extraction method to accurately discriminate vital sign data by the amplitude contribution of each frequency band. Experiments show that RMVS has a respiration monitoring error of less than 1.52 Beat Per Minute (BPM) within 3m.
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