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Validation study of the use of the HRVCAM software for the evaluation of heart rate and heart rate variability at
Patrícia Cândida de Matos Lima Martins1, Talles Marcelo Gonçalves de Andrade Barbosa1, Lucas Monteiro Lima1
1Pontifical Catholic University of Goias (PUC Goiás), Av. Universitária, n. 1069-Setor Universitário, Caixa Postal 86, 74605-010 Goiânia-GO, Brazil.
Insights
HRVCam software offers a valid, non-contact method for measuring heart rate (HR) and heart rate variability (HRV). This webcam-based approach shows good agreement and strong correlations with traditional methods, proving useful for diverse populations.
Area of Science:
- Biomedical Engineering
- Physiological Monitoring
- Cardiovascular Research
Background:
- Traditional heart rate (HR) and heart rate variability (HRV) assessment tools require physical contact, limiting their use in certain patient groups and during movement.
- Developing non-contact methods for HR and HRV measurement is crucial for broader applicability and improved patient comfort.
Purpose of the Study:
- To validate the HRVCam software, a webcam-based tool, for accurately measuring HR and HRV in healthy adults.
- To assess the reliability and agreement of HRVCam compared to a standard device.
Main Methods:
- HR and HRV variables were assessed using HRVCam and a Polar® S810i device.
- Statistical analyses included Shapiro-Wilk test, Pearson's correlation coefficient (r), generalized linear models, and Bland-Altman plots.
- 102 healthy adults (52% male, 83.3% aged 18-29.9 years) participated in the study.
Main Results:
- HRVCam demonstrated good agreement and moderate to strong correlations with the Polar® S810i for most HR and HRV variables.
- Low biases were observed, with the exception of low frequency/high frequency measures.
- Small to moderate differences were found between the measurements from the two methods.
Conclusions:
- The findings support the use of HRVCam as a valid non-contact tool for measuring HR and HRV in healthy adults.
- HRVCam offers a promising alternative to contact-based methods, potentially expanding the accessibility of cardiovascular monitoring.
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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