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Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial
Remote photoplethysmography imaging (rPPG) is a new solution proposed to measure vital signs, such as respiratory rate (RR) in teleconsultation, by using a webcam. The results, presented here, aim at evaluating the accuracy of such remote measurement methods, compared with existing measurement metho...
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/PMC9267568/ https://www.ncbi.nlm.nih.gov/pubmed/35806932 http://dx.doi.org/10.3390/jcm11133647 |
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author | Allado, Edem Poussel, Mathias Renno, Justine Moussu, Anthony Hily, Oriane Temperelli, Margaux Albuisson, Eliane Chenuel, Bruno |
author_facet | Allado, Edem Poussel, Mathias Renno, Justine Moussu, Anthony Hily, Oriane Temperelli, Margaux Albuisson, Eliane Chenuel, Bruno |
author_sort | Allado, Edem |
collection | PubMed |
description | Remote photoplethysmography imaging (rPPG) is a new solution proposed to measure vital signs, such as respiratory rate (RR) in teleconsultation, by using a webcam. The results, presented here, aim at evaluating the accuracy of such remote measurement methods, compared with existing measurement methods, in a real-life clinical setting. For each patient, measurement of RR, using the standard system (control), has been carried out concomitantly with the experimental system. A 60-s time frame was used for the measurements made by our rPPG system. Age, gender, BMI, and skin phototype were collected. We performed the intraclass correlation coefficient and Bland–Altman plot to analyze the accuracy and precision of the rPPG algorithm readings. Measurements of RR, using the two methods, have been realized on 963 patients. Comparison of the two techniques showed excellent agreement (96.0%), with most of the patients (n = 924—standard patients) being in the confidence interval of 95% in Bland–Altman plotting. There were no significant differences between standard patients and outlier patients for demographic and clinical characteristics. This study indicates a good agreement between the rPPG system and the control, thus allowing clinical use of this remote assessment of the respiratory rate. |
format | Online Article Text |
id | pubmed-9267568 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-92675682022-07-09 Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial Allado, Edem Poussel, Mathias Renno, Justine Moussu, Anthony Hily, Oriane Temperelli, Margaux Albuisson, Eliane Chenuel, Bruno J Clin Med Article Remote photoplethysmography imaging (rPPG) is a new solution proposed to measure vital signs, such as respiratory rate (RR) in teleconsultation, by using a webcam. The results, presented here, aim at evaluating the accuracy of such remote measurement methods, compared with existing measurement methods, in a real-life clinical setting. For each patient, measurement of RR, using the standard system (control), has been carried out concomitantly with the experimental system. A 60-s time frame was used for the measurements made by our rPPG system. Age, gender, BMI, and skin phototype were collected. We performed the intraclass correlation coefficient and Bland–Altman plot to analyze the accuracy and precision of the rPPG algorithm readings. Measurements of RR, using the two methods, have been realized on 963 patients. Comparison of the two techniques showed excellent agreement (96.0%), with most of the patients (n = 924—standard patients) being in the confidence interval of 95% in Bland–Altman plotting. There were no significant differences between standard patients and outlier patients for demographic and clinical characteristics. This study indicates a good agreement between the rPPG system and the control, thus allowing clinical use of this remote assessment of the respiratory rate. MDPI 2022-06-24 /pmc/articles/PMC9267568/ /pubmed/35806932 http://dx.doi.org/10.3390/jcm11133647 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 Allado, Edem Poussel, Mathias Renno, Justine Moussu, Anthony Hily, Oriane Temperelli, Margaux Albuisson, Eliane Chenuel, Bruno Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial |
title | Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial |
title_full | Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial |
title_fullStr | Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial |
title_full_unstemmed | Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial |
title_short | Remote Photoplethysmography Is an Accurate Method to Remotely Measure Respiratory Rate: A Hospital-Based Trial |
title_sort | remote photoplethysmography is an accurate method to remotely measure respiratory rate: a hospital-based trial |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9267568/ https://www.ncbi.nlm.nih.gov/pubmed/35806932 http://dx.doi.org/10.3390/jcm11133647 |
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