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Methodology for the determination of human respiration rate by using Doppler radar and Empirical Modal Decomposition
In this work, a methodology is presented for the determination of the respiration rate of a person under test (PUT), the detection of movements, as well as the elimination of the spurious effects produced by the movements of the PUT. The methodology is based on Empirical Modal Decomposition (EMD) ap...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127072/ https://www.ncbi.nlm.nih.gov/pubmed/35606407 http://dx.doi.org/10.1038/s41598-022-12726-z |
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author | Hernandez-Aguila, Miguel Olvera-Cervantes, Jose-Luis Perez-Ramos, Aldo-Eleazar Corona-Chavez, Alonso |
author_facet | Hernandez-Aguila, Miguel Olvera-Cervantes, Jose-Luis Perez-Ramos, Aldo-Eleazar Corona-Chavez, Alonso |
author_sort | Hernandez-Aguila, Miguel |
collection | PubMed |
description | In this work, a methodology is presented for the determination of the respiration rate of a person under test (PUT), the detection of movements, as well as the elimination of the spurious effects produced by the movements of the PUT. The methodology is based on Empirical Modal Decomposition (EMD) applied to the phase signal obtained by means of a quadrature Doppler radar operating in S band. The EMD allows to automatically eliminate the continuos component (CC) which is present in the phase signal since one of the main characteristics of the modes generated by the EMD is that its mean is equal to zero. On the other hand, the first mode of the EMD is used for the detection of movements while the sum of the second and third modes are used for the elimination of the CC drift caused by the DC drift and the high frequency components produced by the movements of the PUT. The proposed methodology was successfully tested in a PUT at rest and performing movements of the head, arm and combination of head, arm, and torso. The average respiration rate measured was 20.78 breaths / min with a standard deviation of 2.53 breaths/min. |
format | Online Article Text |
id | pubmed-9127072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-91270722022-05-25 Methodology for the determination of human respiration rate by using Doppler radar and Empirical Modal Decomposition Hernandez-Aguila, Miguel Olvera-Cervantes, Jose-Luis Perez-Ramos, Aldo-Eleazar Corona-Chavez, Alonso Sci Rep Article In this work, a methodology is presented for the determination of the respiration rate of a person under test (PUT), the detection of movements, as well as the elimination of the spurious effects produced by the movements of the PUT. The methodology is based on Empirical Modal Decomposition (EMD) applied to the phase signal obtained by means of a quadrature Doppler radar operating in S band. The EMD allows to automatically eliminate the continuos component (CC) which is present in the phase signal since one of the main characteristics of the modes generated by the EMD is that its mean is equal to zero. On the other hand, the first mode of the EMD is used for the detection of movements while the sum of the second and third modes are used for the elimination of the CC drift caused by the DC drift and the high frequency components produced by the movements of the PUT. The proposed methodology was successfully tested in a PUT at rest and performing movements of the head, arm and combination of head, arm, and torso. The average respiration rate measured was 20.78 breaths / min with a standard deviation of 2.53 breaths/min. Nature Publishing Group UK 2022-05-23 /pmc/articles/PMC9127072/ /pubmed/35606407 http://dx.doi.org/10.1038/s41598-022-12726-z Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Hernandez-Aguila, Miguel Olvera-Cervantes, Jose-Luis Perez-Ramos, Aldo-Eleazar Corona-Chavez, Alonso Methodology for the determination of human respiration rate by using Doppler radar and Empirical Modal Decomposition |
title | Methodology for the determination of human respiration rate by using Doppler radar and Empirical Modal Decomposition |
title_full | Methodology for the determination of human respiration rate by using Doppler radar and Empirical Modal Decomposition |
title_fullStr | Methodology for the determination of human respiration rate by using Doppler radar and Empirical Modal Decomposition |
title_full_unstemmed | Methodology for the determination of human respiration rate by using Doppler radar and Empirical Modal Decomposition |
title_short | Methodology for the determination of human respiration rate by using Doppler radar and Empirical Modal Decomposition |
title_sort | methodology for the determination of human respiration rate by using doppler radar and empirical modal decomposition |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9127072/ https://www.ncbi.nlm.nih.gov/pubmed/35606407 http://dx.doi.org/10.1038/s41598-022-12726-z |
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