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An RFID-Based Method for Multi-Person Respiratory Monitoring
Respiratory monitoring is widely used in the field of health care. Traditional respiratory monitoring methods bring much inconvenience to users. In recent years, a great number of respiratory monitoring methods based on wireless technology have emerged, but multi-person respiratory monitoring is sti...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416178/ https://www.ncbi.nlm.nih.gov/pubmed/36015926 http://dx.doi.org/10.3390/s22166166 |
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author | Zang, Chaowei Zhang, Chi Zhang, Min Niu, Qiang |
author_facet | Zang, Chaowei Zhang, Chi Zhang, Min Niu, Qiang |
author_sort | Zang, Chaowei |
collection | PubMed |
description | Respiratory monitoring is widely used in the field of health care. Traditional respiratory monitoring methods bring much inconvenience to users. In recent years, a great number of respiratory monitoring methods based on wireless technology have emerged, but multi-person respiratory monitoring is still very challenging; therefore, this paper explores multi-person respiratory monitoring. Firstly, the characteristics of human respiratory movement have been analyzed, and a suitable tag deployment method for respiratory monitoring is proposed. Secondly, aiming at the ambiguity and entanglement of radio frequency identification (RFID) phase data, a method of removal of phase ambiguity and phase wrapping is given. Then, in order to monitor multi-person respiration in a noisy environment, the frequency extraction method and waveform reconstruction method of multi-person respiration are proposed. Finally, the feasibility of the method is verified by experiments. |
format | Online Article Text |
id | pubmed-9416178 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-94161782022-08-27 An RFID-Based Method for Multi-Person Respiratory Monitoring Zang, Chaowei Zhang, Chi Zhang, Min Niu, Qiang Sensors (Basel) Article Respiratory monitoring is widely used in the field of health care. Traditional respiratory monitoring methods bring much inconvenience to users. In recent years, a great number of respiratory monitoring methods based on wireless technology have emerged, but multi-person respiratory monitoring is still very challenging; therefore, this paper explores multi-person respiratory monitoring. Firstly, the characteristics of human respiratory movement have been analyzed, and a suitable tag deployment method for respiratory monitoring is proposed. Secondly, aiming at the ambiguity and entanglement of radio frequency identification (RFID) phase data, a method of removal of phase ambiguity and phase wrapping is given. Then, in order to monitor multi-person respiration in a noisy environment, the frequency extraction method and waveform reconstruction method of multi-person respiration are proposed. Finally, the feasibility of the method is verified by experiments. MDPI 2022-08-17 /pmc/articles/PMC9416178/ /pubmed/36015926 http://dx.doi.org/10.3390/s22166166 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/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 (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Zang, Chaowei Zhang, Chi Zhang, Min Niu, Qiang An RFID-Based Method for Multi-Person Respiratory Monitoring |
title | An RFID-Based Method for Multi-Person Respiratory Monitoring |
title_full | An RFID-Based Method for Multi-Person Respiratory Monitoring |
title_fullStr | An RFID-Based Method for Multi-Person Respiratory Monitoring |
title_full_unstemmed | An RFID-Based Method for Multi-Person Respiratory Monitoring |
title_short | An RFID-Based Method for Multi-Person Respiratory Monitoring |
title_sort | rfid-based method for multi-person respiratory monitoring |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9416178/ https://www.ncbi.nlm.nih.gov/pubmed/36015926 http://dx.doi.org/10.3390/s22166166 |
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