Author: F A de Oliveira Júnior1, R A Pereira2, A S Silva2, J L de Brito Alves3, J H Costa-Silva4, V A Braga5, C M Balarini1
Affiliation: <sup>1</sup> Departamento de Fisiologia e Patologia, Centro de Ciências da Saúde, Universidade Federal da Paraíba, João Pessoa, PB, Brasil.
<sup>2</sup> Departamento de Educação Física, Centro de Ciências da Saúde, Universidade Federal da Paraíba, João Pessoa, PB, Brasil.
<sup>3</sup> Departamento de Nutrição, Centro de Ciências da Saúde, Universidade Federal da Paraíba, João Pessoa, PB, Brasil.
<sup>4</sup> Departamento de Educação Física e Ciências do Esporte, Universidade Federal de Pernambuco, Vitória de Santo Antão, PE, Brasil.
<sup>5</sup> Centro de Biotecnologia, Universidade Federal da Paraíba, João Pessoa, PB, Brasil.
Conference/Journal: Braz J Med Biol Res
Date published: 2022 Feb 4
Other:
Volume ID: 55 , Pages: e11720 , Special Notes: doi: 10.1590/1414-431X2021e11720. , Word Count: 218
Heart rate variability (HRV) is a relevant physiological variable for the estimation of cardiac autonomic function. Although the gold standard for HRV registration is the electrocardiogram (ECG), several applications (APPs) have been increasingly developed. The evaluation carried out by these devices must be compatible with ECG standards. The aim of this study was to compare the data obtained simultaneously with ECG and APP with chest heart rate transmitters. Fifty-six healthy individuals (28 men and 28 women) were evaluated at rest through a short simultaneous HRV measurement with both devices. Data from both acquisition systems were analyzed separately using their own analysis software and exported and analyzed using a validated software. Signal recordings were compatible between the two acquisition systems (Pearson r=0.99; P<0.0001). Although a high correlation was found for the HRV variables obtained in the time domain (Spearman r=0.99; P<0.0001), the correlation decreased in the frequency domain (Pearson r=0.85; P<0.0001) when two software programs were used. Comparison of the averages of spectral analysis parameters also showed differences when HRV data were analyzed separately in each device for low-frequency (LF) and high-frequency (HF) bands. Although the portability of these mobile devices allows for optimal HRV evaluation, the direct analysis obtained from these devices must be carefully evaluated with respect to frequency domain parameters.
PMID: 35137854 DOI: 10.1590/1414-431X2021e11720