通过非侵入式和非接触式雷达技术进行心脏和呼吸监测

M. Varanini, P. Berardi, F. Conforti, M. Micalizzi, D. Neglia, A. Macerata
{"title":"通过非侵入式和非接触式雷达技术进行心脏和呼吸监测","authors":"M. Varanini, P. Berardi, F. Conforti, M. Micalizzi, D. Neglia, A. Macerata","doi":"10.1109/CIC.2008.4748999","DOIUrl":null,"url":null,"abstract":"The aim of this study was the evaluation of a microwave (MW) device for vital signs monitoring of patients and for MW signal characterization in terms of physiological content and meaning. Experimental tests were executed on volunteers in selected and controlled conditions and with different device setting. In each test session the MW signal was digitally acquired and saved together with true physiological signals coming from standard medical instrumentation. Single and multichannel data processing were applied in order to extract characteristic features from each signal and to identify any significant correlation. The results show the ability of the method to obtain precise indications on small physiological movements such as breathing or heartbeat; the received MW signal seems to offer specific information about the mechanical dynamics of the cardiac system. With our configuration settings, main limitations of this approach come from its low capacity to penetrate deeply into the body and to the poor spatial resolution.","PeriodicalId":194782,"journal":{"name":"2008 Computers in Cardiology","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2008-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"25","resultStr":"{\"title\":\"Cardiac and respiratory monitoring through non-invasive and contactless radar technique\",\"authors\":\"M. Varanini, P. Berardi, F. Conforti, M. Micalizzi, D. Neglia, A. Macerata\",\"doi\":\"10.1109/CIC.2008.4748999\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The aim of this study was the evaluation of a microwave (MW) device for vital signs monitoring of patients and for MW signal characterization in terms of physiological content and meaning. Experimental tests were executed on volunteers in selected and controlled conditions and with different device setting. In each test session the MW signal was digitally acquired and saved together with true physiological signals coming from standard medical instrumentation. Single and multichannel data processing were applied in order to extract characteristic features from each signal and to identify any significant correlation. The results show the ability of the method to obtain precise indications on small physiological movements such as breathing or heartbeat; the received MW signal seems to offer specific information about the mechanical dynamics of the cardiac system. With our configuration settings, main limitations of this approach come from its low capacity to penetrate deeply into the body and to the poor spatial resolution.\",\"PeriodicalId\":194782,\"journal\":{\"name\":\"2008 Computers in Cardiology\",\"volume\":\"1 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2008-09-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"25\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2008 Computers in Cardiology\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/CIC.2008.4748999\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2008 Computers in Cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/CIC.2008.4748999","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 25

摘要

本研究的目的是评估微波(MW)装置用于患者生命体征监测和微波信号表征的生理内容和意义。在选定和控制的条件下,在不同的设备设置下,对志愿者进行实验测试。在每个测试阶段,微波信号都是数字采集的,并与来自标准医疗仪器的真实生理信号一起保存。应用单通道和多通道数据处理,以便从每个信号中提取特征特征并识别任何显著的相关性。结果表明,该方法能够获得微小生理运动(如呼吸或心跳)的精确指示;接收到的毫瓦信号似乎提供了关于心脏系统机械动力学的具体信息。在我们的配置设置中,这种方法的主要限制来自于它的低穿透能力和较差的空间分辨率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Cardiac and respiratory monitoring through non-invasive and contactless radar technique
The aim of this study was the evaluation of a microwave (MW) device for vital signs monitoring of patients and for MW signal characterization in terms of physiological content and meaning. Experimental tests were executed on volunteers in selected and controlled conditions and with different device setting. In each test session the MW signal was digitally acquired and saved together with true physiological signals coming from standard medical instrumentation. Single and multichannel data processing were applied in order to extract characteristic features from each signal and to identify any significant correlation. The results show the ability of the method to obtain precise indications on small physiological movements such as breathing or heartbeat; the received MW signal seems to offer specific information about the mechanical dynamics of the cardiac system. With our configuration settings, main limitations of this approach come from its low capacity to penetrate deeply into the body and to the poor spatial resolution.
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:481959085
Book学术官方微信