{"title":"RMVS: Remote Monitoring of Vital Signs with mm-Wave Radar","authors":"Zhanjun Hao, Hao Yan, Xiao-chao Dang, Zhongyu Ma, Wenze Ke, Peng Jin","doi":"10.1145/3556558.3558578","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":166834,"journal":{"name":"Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing","volume":"52 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-21","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 1st ACM Workshop on AI Empowered Mobile and Wireless Sensing","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3556558.3558578","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.