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  4. A dataset of clinically recorded radar vital signs with synchronised reference sensor signals

A dataset of clinically recorded radar vital signs with synchronised reference sensor signals

Citation Link: https://doi.org/10.15480/882.2900
Publikationstyp
Data Paper
Date Issued
2020-02-13
Sprache
English
Author(s)
Schellenberger, Sven
Shi, Kilin
Steigleder, Tobias
Malessa, Anke
Michler, Fabian
Hameyer, Laura
Neumann, Nina
Lurz, Fabian
Weigel, Robert
Ostgathe, Christoph
Kölpin, Alexander
Institut
Hochfrequenztechnik E-3
TORE-DOI
10.15480/882.2900
TORE-URI
http://hdl.handle.net/11420/7266
Journal
Scientific data
Volume
7
Issue
1
Article Number
291
Citation
Scientific Data 1 (7): Article No. 291 (2020)
Publisher DOI
10.1038/s41597-020-00629-5
Scopus ID
2-s2.0-85090391348
Publisher
Nature Publishing Group
Is Supplemented By
10.6084/m9.figshare.12186516
Using Radar it is possible to measure vital signs through clothing or a mattress from the distance. This allows for a very comfortable way of continuous monitoring in hospitals or home environments. The dataset presented in this article consists of 24 h of synchronised data from a radar and a reference device. The implemented continuous wave radar system is based on the Six-Port technology and operates at 24 GHz in the ISM band. The reference device simultaneously measures electrocardiogram, impedance cardiogram and non-invasive continuous blood pressure. 30 healthy subjects were measured by physicians according to a predefined protocol. The radar was focused on the chest while the subjects were lying on a tilt table wired to the reference monitoring device. In this manner five scenarios were conducted, the majority of them aimed to trigger hemodynamics and the autonomic nervous system of the subjects. Using the database, algorithms for respiratory or cardiovascular analysis can be developed and a better understanding of the characteristics of the radar-recorded vital signs can be gained.
Subjects
datenbank
radar interferometry
radar signal analysis
reference device
vital parameter detection
vital sign
DDC Class
600: Technik
Funding(s)
Publikationsfonds 2020
Lizenz
https://creativecommons.org/licenses/by/4.0/
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