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Albrecht, N.C.* ; Langer, D.* ; Krauss, D.* ; Richer, R.* ; Abel, L.* ; Eskofier, B.M. ; Rohleder, N.* ; Koelpin, A.*

EmRad: Ubiquitous vital sign sensing using compact continuous-wave radars.

IEEE Open J. Eng. Med. Biol. 5, 725-734 (2024)
Publ. Version/Full Text DOI PMC
Open Access Gold
Creative Commons Lizenzvertrag
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.
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Publication type Article: Journal article
Document type Scientific Article
Keywords Biomedical Monitoring ; Doppler Radar ; Machine Learning
Language english
Publication Year 2024
HGF-reported in Year 2024
ISSN (print) / ISBN 2644-1276
e-ISSN 2644-1276
Journal IEEE Open Journal of Engineering in Medicine and Biology
Quellenangaben Volume: 5, Issue: , Pages: 725-734 Article Number: , Supplement: ,
Publisher IEEE
Publishing Place 445 Hoes Lane, Piscataway, Nj 08855-4141 Usa
Reviewing status Peer reviewed
Institute(s) Institute of AI for Health (AIH)
POF-Topic(s) 30205 - Bioengineering and Digital Health
Research field(s) Enabling and Novel Technologies
PSP Element(s) G-540008-001
Grants Deutsche Forschungsgemeinschaft (DFG, German Research foundation)
DOI 10.1109/OJEMB.2024.3420241
WOS ID 001294340500012
PubMed ID 39184969
Erfassungsdatum 2024-10-02
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