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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)
Verlagsversion 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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Publikationstyp Artikel: Journalartikel
Dokumenttyp Wissenschaftlicher Artikel
Schlagwörter Biomedical Monitoring ; Doppler Radar ; Machine Learning
Sprache englisch
Veröffentlichungsjahr 2024
HGF-Berichtsjahr 2024
ISSN (print) / ISBN 2644-1276
e-ISSN 2644-1276
Zeitschrift IEEE Open Journal of Engineering in Medicine and Biology
Quellenangaben Band: 5, Heft: , Seiten: 725-734 Artikelnummer: , Supplement: ,
Verlag IEEE
Verlagsort 445 Hoes Lane, Piscataway, Nj 08855-4141 Usa
Begutachtungsstatus Peer reviewed
Institut(e) Institute of AI for Health (AIH)
POF Topic(s) 30205 - Bioengineering and Digital Health
Forschungsfeld(er) Enabling and Novel Technologies
PSP-Element(e) G-540008-001
Förderungen 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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