EmRad: Ubiquitous Vital Sign Sensing Using Compact Continuous-Wave Radars

被引:1
|
作者
Albrecht, Nils C. [1 ]
Langer, Dominik [1 ]
Krauss, Daniel [2 ]
Richer, Robert [2 ]
Abel, Luca [2 ]
Eskofier, Bjoern M. [2 ,3 ]
Rohleder, Nicolas [4 ]
Koelpin, Alexander [1 ]
机构
[1] Tech Univ Hamburg, Inst High Frequency Technol, D-21073 Hamburg, Germany
[2] Friedrich Alexander Univ Erlangen Nurnberg FAU, Machine Learning & Data Analyt Lab, D-91054 Erlangen, Germany
[3] German Res Ctr Environm Hlth, Helmholtz Zentrum Munchen, Inst AI Hlth, Translat Digital Hlth Grp, D-85764 Neuherberg, Germany
[4] Friedrich Alexander Univ Erlangen Nurnberg FAU, Chair Hlth Psychol, Inst Psychol, D-91054 Erlangen, Germany
关键词
Biomedical monitoring; doppler radar; machine learning;
D O I
10.1109/OJEMB.2024.3420241
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
In biomedical monitoring, non-intrusive and continuous tracking of vital signs is a crucial yet challenging objective. Although accurate, traditional methods, such as electrocardiography (ECG) and photoplethysmography (PPG), necessitate direct contact with the patient, posing limitations for long-term and unobtrusive monitoring. To address this challenge, we introduce the EmRad system, an innovative solution harnessing the capabilities of continuous-wave (CW) radar technology for the contactless detection of vital signs, including heart rate and respiratory rate. EmRad discerns itself by emphasizing miniaturization, performance, scalability, and its ability to generate large-scale datasets in various environments. This article explains the system's design, focusing on signal processing strategies and motion artifact reduction to ensure precise vital sign extraction. The EmRad system's versatility is showcased through various case studies, highlighting its potential to transform vital sign monitoring in research and clinical contexts.
引用
收藏
页码:725 / 734
页数:10
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