Poster: Continuous and Fine-grained Respiration Volume Monitoring Using Continuous Wave Radar

Phuc Nguyen, Xinyu Zhang, A. Halbower, Tam N. Vu
{"title":"Poster: Continuous and Fine-grained Respiration Volume Monitoring Using Continuous Wave Radar","authors":"Phuc Nguyen, Xinyu Zhang, A. Halbower, Tam N. Vu","doi":"10.1145/2789168.2795177","DOIUrl":null,"url":null,"abstract":"An unobtrusive and continuous estimation of breathing volume could play a vital role in health care, such as for critically ill patients, neonatal ventilation, post-operative monitoring, just to name a few. While radar-based estimation of breathing rate has been discussed in the literature, estimating breathing volume using wireless signal remains relatively intact. With the presence of patient body movement and posture changes, long-term monitoring of breathing volume at fine granularity is even more challenging. In this work, we propose for the first time an autonomous system that monitors a patient's breathing volume with high resolution. We discuss the key research components and challenges in realizing the system. We also present an initial system design encompassing a continuous wave radar, motion tracking and control system, and a set of methods to accurately derive breathing volume from the reflected signal and to address challenges caused by body movement and posture changes. Our implementation shows promising results in estimating breathing volume with fine granularity.","PeriodicalId":424497,"journal":{"name":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","volume":"35 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 21st Annual International Conference on Mobile Computing and Networking","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2789168.2795177","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5

Abstract

An unobtrusive and continuous estimation of breathing volume could play a vital role in health care, such as for critically ill patients, neonatal ventilation, post-operative monitoring, just to name a few. While radar-based estimation of breathing rate has been discussed in the literature, estimating breathing volume using wireless signal remains relatively intact. With the presence of patient body movement and posture changes, long-term monitoring of breathing volume at fine granularity is even more challenging. In this work, we propose for the first time an autonomous system that monitors a patient's breathing volume with high resolution. We discuss the key research components and challenges in realizing the system. We also present an initial system design encompassing a continuous wave radar, motion tracking and control system, and a set of methods to accurately derive breathing volume from the reflected signal and to address challenges caused by body movement and posture changes. Our implementation shows promising results in estimating breathing volume with fine granularity.
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
海报:使用连续波雷达进行连续和细粒度呼吸量监测
一个不引人注目的连续的呼吸量估计可以在医疗保健中发挥至关重要的作用,如危重病人,新生儿通气,术后监测,仅举几例。虽然基于雷达的呼吸频率估计已经在文献中进行了讨论,但使用无线信号估计呼吸量仍然相对完整。随着患者身体运动和姿势变化的存在,对细粒度呼吸量的长期监测更具挑战性。在这项工作中,我们首次提出了一种高分辨率监测患者呼吸量的自主系统。讨论了实现该系统的关键组成部分和面临的挑战。我们还提出了一个初始系统设计,包括连续波雷达,运动跟踪和控制系统,以及一套从反射信号中准确获取呼吸量的方法,并解决由身体运动和姿势变化引起的挑战。我们的实现在细粒度估计呼吸量方面显示了有希望的结果。
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 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Reusing 60GHz Radios for Mobile Radar Imaging Extending Mobile Interaction Through Near-Field Visible Light Sensing Demo: OpenVLC1.0 Platform for Research in Visible Light Communication Networks Poster: Continuous and Fine-grained Respiration Volume Monitoring Using Continuous Wave Radar Poster: Use your Senses: A Smooth Multipath TCP WiFi/Mobile Handover
×
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
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 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 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1