A new wavelet based algorithm for estimating respiratory motion rate using UWB radar

M. Baboli, S. Ghorashi, N. Saniei, A. Ahmadian
{"title":"A new wavelet based algorithm for estimating respiratory motion rate using UWB radar","authors":"M. Baboli, S. Ghorashi, N. Saniei, A. Ahmadian","doi":"10.1109/ICBPE.2009.5384095","DOIUrl":null,"url":null,"abstract":"UWB signals have become attractive for their particular advantage of having narrow pulse width which makes them suitable for remote sensing of vital signals. In this paper a novel approach to estimate periodic motion rates, using Ultra Wide Band (UWB) signals is proposed. The proposed algorithm which is based on wavelet transform is used as a non-contact tool for measurement of respiration motion rate. Compared with traditional contact measurement devices, experimental results utilizing a 3.2 GHz bandwidth transceiver, demonstrate 99% similar results. The standard deviation of the proposed algorithm for 30 independent experiments has obtained 19% for respiration motion.","PeriodicalId":384086,"journal":{"name":"2009 International Conference on Biomedical and Pharmaceutical Engineering","volume":"55 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2009-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"33","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2009 International Conference on Biomedical and Pharmaceutical Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICBPE.2009.5384095","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 33

Abstract

UWB signals have become attractive for their particular advantage of having narrow pulse width which makes them suitable for remote sensing of vital signals. In this paper a novel approach to estimate periodic motion rates, using Ultra Wide Band (UWB) signals is proposed. The proposed algorithm which is based on wavelet transform is used as a non-contact tool for measurement of respiration motion rate. Compared with traditional contact measurement devices, experimental results utilizing a 3.2 GHz bandwidth transceiver, demonstrate 99% similar results. The standard deviation of the proposed algorithm for 30 independent experiments has obtained 19% for respiration motion.
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
一种基于小波的超宽带雷达呼吸运动速率估计新算法
超宽带信号以其具有窄脉冲宽度的特殊优势而受到人们的青睐,这使得超宽带信号适用于生命信号的遥感。提出了一种利用超宽带(UWB)信号估计周期运动速率的新方法。提出了一种基于小波变换的非接触式呼吸运动速率测量方法。与传统的接触式测量装置相比,利用3.2 GHz带宽收发器的实验结果相似度达到99%。在30个独立实验中,该算法的呼吸运动标准差为19%。
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
Noise reduction in DEXA image based on system noise modeling Feature selection and classification for Wireless Capsule Endoscopic frames The unique gene expression profile of the anti-tumour agent, cisplatin, compared with its clinically ineffective isomer, transplatin Genome-Wide Association study for glaucoma A surgical training simulator for temporal bone anatomy education
×
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