利用超材料表面进行非接触式生命体征监测

Dat T. Nguyen, Qihang Zeng, Xi Tian, J. S. Ho
{"title":"利用超材料表面进行非接触式生命体征监测","authors":"Dat T. Nguyen, Qihang Zeng, Xi Tian, J. S. Ho","doi":"10.1109/IMBioC52515.2022.9790159","DOIUrl":null,"url":null,"abstract":"Vital sign monitoring is important for determining the health status and well-being of an individual. Despite their high level of accuracy, clinical sensing methods for vital signs, such as heart or respiration signals, often require direct skin contact and the use of wires, making them restrictive and inconvenient. In contrast, alternative sensing approaches using wireless means can be comfortable for users and are suitable for long-term, continuous health monitoring scenarios. Recent advances in physiological sensing using Doppler radars present great potential for non-contact vital sign monitoring, but face many challenges due to background clutter and large body motions. In this work, we develop an integrated system for non-contact vital sign monitoring based on microwave metamaterials and software-defined Doppler radar. Our sensor is thin, flexible, and able to monitor health through clothing. We demonstrate our system's capability in respiration and cardiac sensing through experiments on a healthy volunteer and validate its cardiac sensing accuracy against electrocardiography as the gold standard. Validation results show a Pearson's correlation coefficient $r\\approx 0.9$ and Bland-Altman agreement limits of ±37.1 ms between our sensor's and the gold standard's estimation of heart beat-to-beat intervals.","PeriodicalId":305829,"journal":{"name":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-05-16","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":"{\"title\":\"Non-Contact Vital Sign Monitoring With a Metamaterial Surface\",\"authors\":\"Dat T. Nguyen, Qihang Zeng, Xi Tian, J. S. Ho\",\"doi\":\"10.1109/IMBioC52515.2022.9790159\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Vital sign monitoring is important for determining the health status and well-being of an individual. Despite their high level of accuracy, clinical sensing methods for vital signs, such as heart or respiration signals, often require direct skin contact and the use of wires, making them restrictive and inconvenient. In contrast, alternative sensing approaches using wireless means can be comfortable for users and are suitable for long-term, continuous health monitoring scenarios. Recent advances in physiological sensing using Doppler radars present great potential for non-contact vital sign monitoring, but face many challenges due to background clutter and large body motions. In this work, we develop an integrated system for non-contact vital sign monitoring based on microwave metamaterials and software-defined Doppler radar. Our sensor is thin, flexible, and able to monitor health through clothing. We demonstrate our system's capability in respiration and cardiac sensing through experiments on a healthy volunteer and validate its cardiac sensing accuracy against electrocardiography as the gold standard. Validation results show a Pearson's correlation coefficient $r\\\\approx 0.9$ and Bland-Altman agreement limits of ±37.1 ms between our sensor's and the gold standard's estimation of heart beat-to-beat intervals.\",\"PeriodicalId\":305829,\"journal\":{\"name\":\"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-05-16\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"1\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IMBioC52515.2022.9790159\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 IEEE MTT-S International Microwave Biomedical Conference (IMBioC)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IMBioC52515.2022.9790159","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

摘要

生命体征监测对于确定个人的健康状况和福祉非常重要。尽管具有很高的准确性,但用于心脏或呼吸信号等生命体征的临床传感方法通常需要直接接触皮肤并使用电线,这使得它们具有限制性和不方便性。相比之下,使用无线手段的替代传感方法可以让用户感到舒适,并且适合长期、连续的健康监测场景。近年来,多普勒雷达在非接触式生命体征监测方面取得了很大的进展,但由于背景杂波和大的身体运动而面临许多挑战。在这项工作中,我们开发了一个基于微波超材料和软件定义多普勒雷达的非接触式生命体征监测集成系统。我们的传感器很薄,很灵活,可以通过衣服来监测健康状况。我们通过健康志愿者的实验证明了我们的系统在呼吸和心脏传感方面的能力,并以心电图作为金标准验证了其心脏传感的准确性。验证结果显示,我们的传感器与金标准估计的心跳间隔之间的Pearson相关系数r约为0.9,Bland-Altman协议限制为±37.1 ms。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Non-Contact Vital Sign Monitoring With a Metamaterial Surface
Vital sign monitoring is important for determining the health status and well-being of an individual. Despite their high level of accuracy, clinical sensing methods for vital signs, such as heart or respiration signals, often require direct skin contact and the use of wires, making them restrictive and inconvenient. In contrast, alternative sensing approaches using wireless means can be comfortable for users and are suitable for long-term, continuous health monitoring scenarios. Recent advances in physiological sensing using Doppler radars present great potential for non-contact vital sign monitoring, but face many challenges due to background clutter and large body motions. In this work, we develop an integrated system for non-contact vital sign monitoring based on microwave metamaterials and software-defined Doppler radar. Our sensor is thin, flexible, and able to monitor health through clothing. We demonstrate our system's capability in respiration and cardiac sensing through experiments on a healthy volunteer and validate its cardiac sensing accuracy against electrocardiography as the gold standard. Validation results show a Pearson's correlation coefficient $r\approx 0.9$ and Bland-Altman agreement limits of ±37.1 ms between our sensor's and the gold standard's estimation of heart beat-to-beat intervals.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
来源期刊
自引率
0.00%
发文量
0
×
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:604180095
Book学术官方微信