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Clinical validation of a wearable respiratory rate device: A brief report
BACKGROUND: Respiratory rate (RR) is used for the diagnosis and management of medical conditions and can predict clinical changes. Heavy workload, understaffing, and errors related to poor recording make it underutilized. Wearable devices may facilitate its use. METHODS: RR measurements using a wear...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
SAGE Publications
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461800/ https://www.ncbi.nlm.nih.gov/pubmed/37612250 http://dx.doi.org/10.1177/14799731231198865 |
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author | Eisenkraft, Arik Goldstein, Nir Ben Ishay, Arik Fons, Meir Tabi, Michael Sherman, Anna Danielle Merin, Roei Nachman, Dean |
author_facet | Eisenkraft, Arik Goldstein, Nir Ben Ishay, Arik Fons, Meir Tabi, Michael Sherman, Anna Danielle Merin, Roei Nachman, Dean |
author_sort | Eisenkraft, Arik |
collection | PubMed |
description | BACKGROUND: Respiratory rate (RR) is used for the diagnosis and management of medical conditions and can predict clinical changes. Heavy workload, understaffing, and errors related to poor recording make it underutilized. Wearable devices may facilitate its use. METHODS: RR measurements using a wearable photoplethysmography-based monitor were compared with medical grade devices in complementary clinical scenarios: Study one included a comparison to a capnograph in 35 healthy volunteers; Study two included a comparison to a ventilator monitor in 18 ventilated patients; and Study three included a comparison to capnograph in 92 COVID-19 patients with active pulmonary disease. Pearson’s correlations and Bland-Altman analysis were used to assess the accuracy and agreement between the measurement techniques, including stratification for Body Mass Index (BMI) and skin tone. Statistical significance was set at p ≤ 0.05. RESULTS: High correlation was found in all studies (r = 0.991, 0.884, and 0.888, respectively, p < 0.001 for all). 95% LOA of ±2.3, 1.7-(−1.6), and ±3.9 with a bias of < 0.1 breaths per minute was found in Bland-Altman analysis in studies 1,2, and 3, respectively. In all, high accordance was found in all sub-groups. CONCLUSIONS: RR measurements using the wearable monitor were highly-correlated with medical-grade devices in various clinical settings. TRIAL REGISTRATION: ClinicalTrials.gov, https://clinicaltrials.gov/ct2/show/NCT03603860. |
format | Online Article Text |
id | pubmed-10461800 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | SAGE Publications |
record_format | MEDLINE/PubMed |
spelling | pubmed-104618002023-08-29 Clinical validation of a wearable respiratory rate device: A brief report Eisenkraft, Arik Goldstein, Nir Ben Ishay, Arik Fons, Meir Tabi, Michael Sherman, Anna Danielle Merin, Roei Nachman, Dean Chron Respir Dis Original Paper BACKGROUND: Respiratory rate (RR) is used for the diagnosis and management of medical conditions and can predict clinical changes. Heavy workload, understaffing, and errors related to poor recording make it underutilized. Wearable devices may facilitate its use. METHODS: RR measurements using a wearable photoplethysmography-based monitor were compared with medical grade devices in complementary clinical scenarios: Study one included a comparison to a capnograph in 35 healthy volunteers; Study two included a comparison to a ventilator monitor in 18 ventilated patients; and Study three included a comparison to capnograph in 92 COVID-19 patients with active pulmonary disease. Pearson’s correlations and Bland-Altman analysis were used to assess the accuracy and agreement between the measurement techniques, including stratification for Body Mass Index (BMI) and skin tone. Statistical significance was set at p ≤ 0.05. RESULTS: High correlation was found in all studies (r = 0.991, 0.884, and 0.888, respectively, p < 0.001 for all). 95% LOA of ±2.3, 1.7-(−1.6), and ±3.9 with a bias of < 0.1 breaths per minute was found in Bland-Altman analysis in studies 1,2, and 3, respectively. In all, high accordance was found in all sub-groups. CONCLUSIONS: RR measurements using the wearable monitor were highly-correlated with medical-grade devices in various clinical settings. TRIAL REGISTRATION: ClinicalTrials.gov, https://clinicaltrials.gov/ct2/show/NCT03603860. SAGE Publications 2023-08-23 /pmc/articles/PMC10461800/ /pubmed/37612250 http://dx.doi.org/10.1177/14799731231198865 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by-nc/4.0/This article is distributed under the terms of the Creative Commons Attribution-NonCommercial 4.0 License (https://creativecommons.org/licenses/by-nc/4.0/) which permits non-commercial use, reproduction and distribution of the work without further permission provided the original work is attributed as specified on the SAGE and Open Access pages (https://us.sagepub.com/en-us/nam/open-access-at-sage). |
spellingShingle | Original Paper Eisenkraft, Arik Goldstein, Nir Ben Ishay, Arik Fons, Meir Tabi, Michael Sherman, Anna Danielle Merin, Roei Nachman, Dean Clinical validation of a wearable respiratory rate device: A brief report |
title | Clinical validation of a wearable respiratory rate device: A brief report |
title_full | Clinical validation of a wearable respiratory rate device: A brief report |
title_fullStr | Clinical validation of a wearable respiratory rate device: A brief report |
title_full_unstemmed | Clinical validation of a wearable respiratory rate device: A brief report |
title_short | Clinical validation of a wearable respiratory rate device: A brief report |
title_sort | clinical validation of a wearable respiratory rate device: a brief report |
topic | Original Paper |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10461800/ https://www.ncbi.nlm.nih.gov/pubmed/37612250 http://dx.doi.org/10.1177/14799731231198865 |
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