Long-Distance Heart Sound Detection using 122 GHz CW Radar with 3D Printed High-Gain Antennas

Nils C. Albrecht, Markus Heyder, Marvin Wenzel, Dominik Langer, Hui Lu, Alexander Koelpin
{"title":"Long-Distance Heart Sound Detection using 122 GHz CW Radar with 3D Printed High-Gain Antennas","authors":"Nils C. Albrecht, Markus Heyder, Marvin Wenzel, Dominik Langer, Hui Lu, Alexander Koelpin","doi":"10.1109/RWS55624.2023.10046319","DOIUrl":null,"url":null,"abstract":"This contribution presents a 122 GHz continuous wave (CW) radar system capable of detecting human heart sounds over a distance of at least five meters. A bidirectional long short-term memory (LSTM) neural network is used to extract precise inter-beat-intervals (IBIs) from the radar data. A small-scale human trial with two persons is carried out, and the resulting accuracy of the system is compared to a gold-standard electrocardiogram (ECG). The proposed system shows a mean absolute error of 5 ms and a standard deviation (SD) of 63 ms compared to the ECG IBIs.","PeriodicalId":110742,"journal":{"name":"2023 IEEE Radio and Wireless Symposium (RWS)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2023-01-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2023 IEEE Radio and Wireless Symposium (RWS)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/RWS55624.2023.10046319","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0

Abstract

This contribution presents a 122 GHz continuous wave (CW) radar system capable of detecting human heart sounds over a distance of at least five meters. A bidirectional long short-term memory (LSTM) neural network is used to extract precise inter-beat-intervals (IBIs) from the radar data. A small-scale human trial with two persons is carried out, and the resulting accuracy of the system is compared to a gold-standard electrocardiogram (ECG). The proposed system shows a mean absolute error of 5 ms and a standard deviation (SD) of 63 ms compared to the ECG IBIs.
使用3D打印高增益天线的122 GHz连续波雷达进行远距离心音检测
这一贡献提出了一个122 GHz连续波(CW)雷达系统,能够在至少5米的距离上探测到人类的心脏声音。利用双向长短期记忆(LSTM)神经网络从雷达数据中提取精确的温度间隔(ibi)。进行了两个人的小规模人体试验,并将该系统的准确度与金标准心电图(ECG)进行了比较。与ECG ibi相比,该系统的平均绝对误差为5 ms,标准差(SD)为63 ms。
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
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