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EmRad: Ubiquitous vital sign sensing using compact continuous-wave radars.
IEEE Open J. Eng. Med. Biol. 5, 725-734 (2024)
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
ISSN (print) / ISBN
2644-1276
e-ISSN
2644-1276
Quellenangaben
Band: 5,
Seiten: 725-734
Verlag
IEEE
Verlagsort
445 Hoes Lane, Piscataway, Nj 08855-4141 Usa
Nichtpatentliteratur
Publikationen
Begutachtungsstatus
Peer reviewed
Institut(e)
Institute of AI for Health (AIH)
Förderungen
Deutsche Forschungsgemeinschaft (DFG, German Research foundation)