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Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest

AIMS: The existing instruments for assessing heart rate (HR) and heart rate variability (HRV) require contact area. This is difficult to obtain from specific groups of patients and from those moving. The aim of this study was to validate the use of the HRVCam software for measuring HR and HRV in hea...

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Autores principales: Martins, Patrícia Cândida de Matos Lima, Barbosa, Talles Marcelo Gonçalves de Andrade, Lima, Lucas Monteiro, Souza, Israel Machado Brito, Ramos, Gabrielly Craveiro, Souza, Pedro Henrique de Brito, da Rocha, Adson Ferreira, Barroso, Weimar Kunz Sebba, Vitorino, Priscila Valverde de Oliveira
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707977/
https://www.ncbi.nlm.nih.gov/pubmed/36713991
http://dx.doi.org/10.1093/ehjdh/ztab099
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author Martins, Patrícia Cândida de Matos Lima
Barbosa, Talles Marcelo Gonçalves de Andrade
Lima, Lucas Monteiro
Souza, Israel Machado Brito
Ramos, Gabrielly Craveiro
Souza, Pedro Henrique de Brito
da Rocha, Adson Ferreira
Barroso, Weimar Kunz Sebba
Vitorino, Priscila Valverde de Oliveira
author_facet Martins, Patrícia Cândida de Matos Lima
Barbosa, Talles Marcelo Gonçalves de Andrade
Lima, Lucas Monteiro
Souza, Israel Machado Brito
Ramos, Gabrielly Craveiro
Souza, Pedro Henrique de Brito
da Rocha, Adson Ferreira
Barroso, Weimar Kunz Sebba
Vitorino, Priscila Valverde de Oliveira
author_sort Martins, Patrícia Cândida de Matos Lima
collection PubMed
description AIMS: The existing instruments for assessing heart rate (HR) and heart rate variability (HRV) require contact area. This is difficult to obtain from specific groups of patients and from those moving. The aim of this study was to validate the use of the HRVCam software for measuring HR and HRV in healthy adults. METHODS AND RESULTS: The HR and HRV variables were evaluated in terms of time and frequency using a webcam and Polar(®) S810i. The Shapiro–Wilk test was used to test the normality of the data, and the Pearson’s correlation coefficient (r) was used to identify the possible correlation between the two instruments. The size of the effect was calculated based on a generalized linear model, and the Bland–Altman plots were used to analyse the agreement between the methods. The level of significance for all analyses was set at P < 0.05. We evaluated 102 participants, of whom 52% were men; 83.3% were aged between 18 and 29.9 years; and 84.3% were single. CONCLUSION: There was a good agreement and moderate to strong correlations among all analysed variables. The biases were low, except for the low frequency/high frequency measures. Moreover, the difference between the samples was small to moderate. The results of this study corroborate the use of HRVCam for measuring HR and HRV.
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spelling pubmed-97079772023-01-27 Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest Martins, Patrícia Cândida de Matos Lima Barbosa, Talles Marcelo Gonçalves de Andrade Lima, Lucas Monteiro Souza, Israel Machado Brito Ramos, Gabrielly Craveiro Souza, Pedro Henrique de Brito da Rocha, Adson Ferreira Barroso, Weimar Kunz Sebba Vitorino, Priscila Valverde de Oliveira Eur Heart J Digit Health Original Articles AIMS: The existing instruments for assessing heart rate (HR) and heart rate variability (HRV) require contact area. This is difficult to obtain from specific groups of patients and from those moving. The aim of this study was to validate the use of the HRVCam software for measuring HR and HRV in healthy adults. METHODS AND RESULTS: The HR and HRV variables were evaluated in terms of time and frequency using a webcam and Polar(®) S810i. The Shapiro–Wilk test was used to test the normality of the data, and the Pearson’s correlation coefficient (r) was used to identify the possible correlation between the two instruments. The size of the effect was calculated based on a generalized linear model, and the Bland–Altman plots were used to analyse the agreement between the methods. The level of significance for all analyses was set at P < 0.05. We evaluated 102 participants, of whom 52% were men; 83.3% were aged between 18 and 29.9 years; and 84.3% were single. CONCLUSION: There was a good agreement and moderate to strong correlations among all analysed variables. The biases were low, except for the low frequency/high frequency measures. Moreover, the difference between the samples was small to moderate. The results of this study corroborate the use of HRVCam for measuring HR and HRV. Oxford University Press 2021-11-29 /pmc/articles/PMC9707977/ /pubmed/36713991 http://dx.doi.org/10.1093/ehjdh/ztab099 Text en © The Author(s) 2021. Published by Oxford University Press on behalf of the European Society of Cardiology. https://creativecommons.org/licenses/by-nc/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial License (https://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Articles
Martins, Patrícia Cândida de Matos Lima
Barbosa, Talles Marcelo Gonçalves de Andrade
Lima, Lucas Monteiro
Souza, Israel Machado Brito
Ramos, Gabrielly Craveiro
Souza, Pedro Henrique de Brito
da Rocha, Adson Ferreira
Barroso, Weimar Kunz Sebba
Vitorino, Priscila Valverde de Oliveira
Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest
title Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest
title_full Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest
title_fullStr Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest
title_full_unstemmed Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest
title_short Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at rest
title_sort validation study of the use of the hrvcam software for the evaluation of heart rate and heart rate variability at rest
topic Original Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9707977/
https://www.ncbi.nlm.nih.gov/pubmed/36713991
http://dx.doi.org/10.1093/ehjdh/ztab099
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