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A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals
Radar systems allow for contactless measurements of vital signs such as heart sounds, the pulse signal, and respiration. This approach is able to tackle crucial disadvantages of state-of-the-art monitoring devices such as the need for permanent wiring and skin contact. Potential applications include...
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/PMC7018953/ https://www.ncbi.nlm.nih.gov/pubmed/32054854 http://dx.doi.org/10.1038/s41597-020-0390-1 |
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author | Shi, Kilin Schellenberger, Sven Will, Christoph Steigleder, Tobias Michler, Fabian Fuchs, Jonas Weigel, Robert Ostgathe, Christoph Koelpin, Alexander |
author_facet | Shi, Kilin Schellenberger, Sven Will, Christoph Steigleder, Tobias Michler, Fabian Fuchs, Jonas Weigel, Robert Ostgathe, Christoph Koelpin, Alexander |
author_sort | Shi, Kilin |
collection | PubMed |
description | Radar systems allow for contactless measurements of vital signs such as heart sounds, the pulse signal, and respiration. This approach is able to tackle crucial disadvantages of state-of-the-art monitoring devices such as the need for permanent wiring and skin contact. Potential applications include the employment in a hospital environment but also in home care or passenger vehicles. This dataset consists of synchronised data which are acquired using a Six-Port-based radar system operating at 24 GHz, a digital stethoscope, an ECG, and a respiration sensor. 11 test subjects were measured in different defined scenarios and at several measurement positions such as at the carotid, the back, and several frontal positions on the thorax. Overall, around 223 minutes of data were acquired at scenarios such as breath-holding, post-exercise measurements, and while speaking. The presented dataset contains reference-labeled ECG signals and can therefore easily be used to either test algorithms for monitoring the heart rate, but also to gain insights about characteristic effects of radar-based vital sign monitoring. |
format | Online Article Text |
id | pubmed-7018953 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70189532020-03-03 A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals Shi, Kilin Schellenberger, Sven Will, Christoph Steigleder, Tobias Michler, Fabian Fuchs, Jonas Weigel, Robert Ostgathe, Christoph Koelpin, Alexander Sci Data Data Descriptor Radar systems allow for contactless measurements of vital signs such as heart sounds, the pulse signal, and respiration. This approach is able to tackle crucial disadvantages of state-of-the-art monitoring devices such as the need for permanent wiring and skin contact. Potential applications include the employment in a hospital environment but also in home care or passenger vehicles. This dataset consists of synchronised data which are acquired using a Six-Port-based radar system operating at 24 GHz, a digital stethoscope, an ECG, and a respiration sensor. 11 test subjects were measured in different defined scenarios and at several measurement positions such as at the carotid, the back, and several frontal positions on the thorax. Overall, around 223 minutes of data were acquired at scenarios such as breath-holding, post-exercise measurements, and while speaking. The presented dataset contains reference-labeled ECG signals and can therefore easily be used to either test algorithms for monitoring the heart rate, but also to gain insights about characteristic effects of radar-based vital sign monitoring. Nature Publishing Group UK 2020-02-13 /pmc/articles/PMC7018953/ /pubmed/32054854 http://dx.doi.org/10.1038/s41597-020-0390-1 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 Shi, Kilin Schellenberger, Sven Will, Christoph Steigleder, Tobias Michler, Fabian Fuchs, Jonas Weigel, Robert Ostgathe, Christoph Koelpin, Alexander A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals |
title | A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals |
title_full | A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals |
title_fullStr | A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals |
title_full_unstemmed | A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals |
title_short | A dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals |
title_sort | dataset of radar-recorded heart sounds and vital signs including synchronised reference sensor signals |
topic | Data Descriptor |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7018953/ https://www.ncbi.nlm.nih.gov/pubmed/32054854 http://dx.doi.org/10.1038/s41597-020-0390-1 |
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