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Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems
Chest wall motion can provide information on critical vital signs, including respiration and heartbeat. Mathematical modelling of chest wall motion can reduce an extensive requirement of human testing in the development of many biomedical applications. In this paper, we propose a mathematical model...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570465/ https://www.ncbi.nlm.nih.gov/pubmed/32906804 http://dx.doi.org/10.3390/s20185094 |
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author | Singh, Anuradha Rehman, Saeed Ur Yongchareon, Sira Chong, Peter Han Joo |
author_facet | Singh, Anuradha Rehman, Saeed Ur Yongchareon, Sira Chong, Peter Han Joo |
author_sort | Singh, Anuradha |
collection | PubMed |
description | Chest wall motion can provide information on critical vital signs, including respiration and heartbeat. Mathematical modelling of chest wall motion can reduce an extensive requirement of human testing in the development of many biomedical applications. In this paper, we propose a mathematical model that simulates a chest wall motion due to cardiorespiratory activity. Chest wall motion due to respiration is simulated based on the optimal chemical–mechanical respiratory control-based mechanics. The theory of relaxation oscillation system is applied to model the motion due to cardiac activity. The proposed mathematical chest wall model can be utilized in designing and optimizing different design parameters for radar-based non-contact vital sign (NCVS) systems. |
format | Online Article Text |
id | pubmed-7570465 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-75704652020-10-28 Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems Singh, Anuradha Rehman, Saeed Ur Yongchareon, Sira Chong, Peter Han Joo Sensors (Basel) Letter Chest wall motion can provide information on critical vital signs, including respiration and heartbeat. Mathematical modelling of chest wall motion can reduce an extensive requirement of human testing in the development of many biomedical applications. In this paper, we propose a mathematical model that simulates a chest wall motion due to cardiorespiratory activity. Chest wall motion due to respiration is simulated based on the optimal chemical–mechanical respiratory control-based mechanics. The theory of relaxation oscillation system is applied to model the motion due to cardiac activity. The proposed mathematical chest wall model can be utilized in designing and optimizing different design parameters for radar-based non-contact vital sign (NCVS) systems. MDPI 2020-09-07 /pmc/articles/PMC7570465/ /pubmed/32906804 http://dx.doi.org/10.3390/s20185094 Text en © 2020 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 | Letter Singh, Anuradha Rehman, Saeed Ur Yongchareon, Sira Chong, Peter Han Joo Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems |
title | Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems |
title_full | Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems |
title_fullStr | Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems |
title_full_unstemmed | Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems |
title_short | Modelling of Chest Wall Motion for Cardiorespiratory Activity for Radar-Based NCVS Systems |
title_sort | modelling of chest wall motion for cardiorespiratory activity for radar-based ncvs systems |
topic | Letter |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7570465/ https://www.ncbi.nlm.nih.gov/pubmed/32906804 http://dx.doi.org/10.3390/s20185094 |
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