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A dataset of clinically recorded radar vital signs with synchronised reference sensor signals
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 refere...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479598/ https://www.ncbi.nlm.nih.gov/pubmed/32901032 http://dx.doi.org/10.1038/s41597-020-00629-5 |
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author | Schellenberger, Sven Shi, Kilin Steigleder, Tobias Malessa, Anke Michler, Fabian Hameyer, Laura Neumann, Nina Lurz, Fabian Weigel, Robert Ostgathe, Christoph Koelpin, Alexander |
author_facet | Schellenberger, Sven Shi, Kilin Steigleder, Tobias Malessa, Anke Michler, Fabian Hameyer, Laura Neumann, Nina Lurz, Fabian Weigel, Robert Ostgathe, Christoph Koelpin, Alexander |
author_sort | Schellenberger, Sven |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-7479598 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-74795982020-09-21 A dataset of clinically recorded radar vital signs with synchronised reference sensor signals Schellenberger, Sven Shi, Kilin Steigleder, Tobias Malessa, Anke Michler, Fabian Hameyer, Laura Neumann, Nina Lurz, Fabian Weigel, Robert Ostgathe, Christoph Koelpin, Alexander Sci Data Data Descriptor 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. Nature Publishing Group UK 2020-09-08 /pmc/articles/PMC7479598/ /pubmed/32901032 http://dx.doi.org/10.1038/s41597-020-00629-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver http://creativecommons.org/publicdomain/zero/1.0/ applies to the metadata files associated with this article. |
spellingShingle | Data Descriptor Schellenberger, Sven Shi, Kilin Steigleder, Tobias Malessa, Anke Michler, Fabian Hameyer, Laura Neumann, Nina Lurz, Fabian Weigel, Robert Ostgathe, Christoph Koelpin, Alexander A dataset of clinically recorded radar vital signs with synchronised reference sensor signals |
title | A dataset of clinically recorded radar vital signs with synchronised reference sensor signals |
title_full | A dataset of clinically recorded radar vital signs with synchronised reference sensor signals |
title_fullStr | A dataset of clinically recorded radar vital signs with synchronised reference sensor signals |
title_full_unstemmed | A dataset of clinically recorded radar vital signs with synchronised reference sensor signals |
title_short | A dataset of clinically recorded radar vital signs with synchronised reference sensor signals |
title_sort | dataset of clinically recorded radar vital signs with synchronised reference sensor signals |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7479598/ https://www.ncbi.nlm.nih.gov/pubmed/32901032 http://dx.doi.org/10.1038/s41597-020-00629-5 |
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