Simultaneous multi-person vital signs monitoring using multiple-input multiple-output FMCW millimeter wave radar

IF 3 3区 计算机科学 Q2 ENGINEERING, ELECTRICAL & ELECTRONIC
Shuaikang Xue , Zhihuo Xu , Yuexia Wang , Jiajia Shi , Abdulkadir C. Yucel
{"title":"Simultaneous multi-person vital signs monitoring using multiple-input multiple-output FMCW millimeter wave radar","authors":"Shuaikang Xue ,&nbsp;Zhihuo Xu ,&nbsp;Yuexia Wang ,&nbsp;Jiajia Shi ,&nbsp;Abdulkadir C. Yucel","doi":"10.1016/j.aeue.2024.155578","DOIUrl":null,"url":null,"abstract":"<div><div>Non-contact radar-based vital signs measurement holds immense significance in the context of a rapidly ageing society, underscoring its pivotal role in modern healthcare. While substantial progress has been made in developing radar-based systems for single-person vital sign detection, there remains a conspicuous gap in the domain of simultaneous multi-person measurement. This challenge is compounded by the inherently weak heart signals captured by radar, further exacerbated when dealing with multiple individuals. This paper presents a cutting-edge non-contact measurement system with multiple-input multiple-output (MIMO) frequency modulated continuous wave (FMCW) millimeter wave (mmW) radar for simultaneous multi-person vital signs monitoring. Firstly, a fusion-based approach is presented for multi-person localization within sequential MIMO range-angle maps. Subsequently, an optimization-based method is outlined for the extraction of vital signs, adeptly retrieving respiratory and cardiac signals from the radar’s phase data for each individual. Through extensive experimental validations, the system demonstrates a remarkably low error rate of 1.03% for respiratory measurement and 2.70% for cardiac measurement, reaffirming its efficacy and reliability.</div></div>","PeriodicalId":50844,"journal":{"name":"Aeu-International Journal of Electronics and Communications","volume":"188 ","pages":"Article 155578"},"PeriodicalIF":3.0000,"publicationDate":"2024-11-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Aeu-International Journal of Electronics and Communications","FirstCategoryId":"94","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S1434841124004643","RegionNum":3,"RegionCategory":"计算机科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, ELECTRICAL & ELECTRONIC","Score":null,"Total":0}
引用次数: 0

Abstract

Non-contact radar-based vital signs measurement holds immense significance in the context of a rapidly ageing society, underscoring its pivotal role in modern healthcare. While substantial progress has been made in developing radar-based systems for single-person vital sign detection, there remains a conspicuous gap in the domain of simultaneous multi-person measurement. This challenge is compounded by the inherently weak heart signals captured by radar, further exacerbated when dealing with multiple individuals. This paper presents a cutting-edge non-contact measurement system with multiple-input multiple-output (MIMO) frequency modulated continuous wave (FMCW) millimeter wave (mmW) radar for simultaneous multi-person vital signs monitoring. Firstly, a fusion-based approach is presented for multi-person localization within sequential MIMO range-angle maps. Subsequently, an optimization-based method is outlined for the extraction of vital signs, adeptly retrieving respiratory and cardiac signals from the radar’s phase data for each individual. Through extensive experimental validations, the system demonstrates a remarkably low error rate of 1.03% for respiratory measurement and 2.70% for cardiac measurement, reaffirming its efficacy and reliability.
利用多输入多输出 FMCW 毫米波雷达同时监测多人生命体征
在快速老龄化的社会背景下,基于雷达的非接触式生命体征测量具有重要意义,凸显了其在现代医疗保健中的关键作用。虽然在开发基于雷达的单人生命体征检测系统方面取得了重大进展,但在多人同步测量领域仍存在明显差距。雷达捕捉到的心脏信号本身就很微弱,在多人同时测量时,这一挑战更加严峻。本文介绍了一种采用多输入多输出(MIMO)频率调制连续波(FMCW)毫米波(mmW)雷达的尖端非接触式测量系统,用于多人同时生命体征监测。首先,介绍了一种基于融合的方法,用于在连续的 MIMO 测距角地图内进行多人定位。随后,概述了一种基于优化的生命体征提取方法,该方法能从雷达相位数据中提取每个人的呼吸和心脏信号。通过广泛的实验验证,该系统在呼吸测量和心脏测量方面分别实现了 1.03% 和 2.70% 的极低误差率,再次证明了其功效和可靠性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
CiteScore
6.90
自引率
18.80%
发文量
292
审稿时长
4.9 months
期刊介绍: AEÜ is an international scientific journal which publishes both original works and invited tutorials. The journal''s scope covers all aspects of theory and design of circuits, systems and devices for electronics, signal processing, and communication, including: signal and system theory, digital signal processing network theory and circuit design information theory, communication theory and techniques, modulation, source and channel coding switching theory and techniques, communication protocols optical communications microwave theory and techniques, radar, sonar antennas, wave propagation AEÜ publishes full papers and letters with very short turn around time but a high standard review process. Review cycles are typically finished within twelve weeks by application of modern electronic communication facilities.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信