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A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters
Vital parameters are key indicators for the assessment of health. Conventional methods rely on direct contact with the patients’ skin and can hence cause discomfort and reduce autonomy. This article presents a bistatic 24 GHz radar system based on an interferometric six-port architecture and feature...
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603780/ https://www.ncbi.nlm.nih.gov/pubmed/31159218 http://dx.doi.org/10.3390/s19112492 |
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author | Michler, Fabian Shi, Kilin Schellenberger, Sven Steigleder, Tobias Malessa, Anke Hameyer, Laura Neumann, Nina Lurz, Fabian Ostgathe, Christoph Weigel, Robert Koelpin, Alexander |
author_facet | Michler, Fabian Shi, Kilin Schellenberger, Sven Steigleder, Tobias Malessa, Anke Hameyer, Laura Neumann, Nina Lurz, Fabian Ostgathe, Christoph Weigel, Robert Koelpin, Alexander |
author_sort | Michler, Fabian |
collection | PubMed |
description | Vital parameters are key indicators for the assessment of health. Conventional methods rely on direct contact with the patients’ skin and can hence cause discomfort and reduce autonomy. This article presents a bistatic 24 GHz radar system based on an interferometric six-port architecture and features a precision of 1 µm in distance measurements. Placed at a distance of 40 cm in front of the human chest, it detects vibrations containing respiratory movements, pulse waves and heart sounds. For the extraction of the respiration rate, time-domain approaches like autocorrelation, peaksearch and zero crossing rate are compared to the Fourier transform, while template matching and a hidden semi-Markov model are utilized for the detection of the heart rate from sphygmograms and heart sounds. A medical study with 30 healthy volunteers was conducted to collect 5.5 h of data, where impedance cardiogram and electrocardiogram were used as gold standard for synchronously recording respiration and heart rate, respectively. A low root mean square error for the breathing rate (0.828 BrPM) and a high overall F1 score for heartbeat detection (93.14%) could be achieved using the proposed radar system and signal processing. |
format | Online Article Text |
id | pubmed-6603780 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-66037802019-07-17 A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters Michler, Fabian Shi, Kilin Schellenberger, Sven Steigleder, Tobias Malessa, Anke Hameyer, Laura Neumann, Nina Lurz, Fabian Ostgathe, Christoph Weigel, Robert Koelpin, Alexander Sensors (Basel) Article Vital parameters are key indicators for the assessment of health. Conventional methods rely on direct contact with the patients’ skin and can hence cause discomfort and reduce autonomy. This article presents a bistatic 24 GHz radar system based on an interferometric six-port architecture and features a precision of 1 µm in distance measurements. Placed at a distance of 40 cm in front of the human chest, it detects vibrations containing respiratory movements, pulse waves and heart sounds. For the extraction of the respiration rate, time-domain approaches like autocorrelation, peaksearch and zero crossing rate are compared to the Fourier transform, while template matching and a hidden semi-Markov model are utilized for the detection of the heart rate from sphygmograms and heart sounds. A medical study with 30 healthy volunteers was conducted to collect 5.5 h of data, where impedance cardiogram and electrocardiogram were used as gold standard for synchronously recording respiration and heart rate, respectively. A low root mean square error for the breathing rate (0.828 BrPM) and a high overall F1 score for heartbeat detection (93.14%) could be achieved using the proposed radar system and signal processing. MDPI 2019-05-31 /pmc/articles/PMC6603780/ /pubmed/31159218 http://dx.doi.org/10.3390/s19112492 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Michler, Fabian Shi, Kilin Schellenberger, Sven Steigleder, Tobias Malessa, Anke Hameyer, Laura Neumann, Nina Lurz, Fabian Ostgathe, Christoph Weigel, Robert Koelpin, Alexander A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters |
title | A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters |
title_full | A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters |
title_fullStr | A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters |
title_full_unstemmed | A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters |
title_short | A Clinically Evaluated Interferometric Continuous-Wave Radar System for the Contactless Measurement of Human Vital Parameters |
title_sort | clinically evaluated interferometric continuous-wave radar system for the contactless measurement of human vital parameters |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6603780/ https://www.ncbi.nlm.nih.gov/pubmed/31159218 http://dx.doi.org/10.3390/s19112492 |
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