Abstract
AbstractHeart rate variability (HRV) utilizes the electrocardiogram (ECG) and has been widely studied as a non-invasive indicator of cardiac autonomic activity. Pulse rate variability (PRV) utilizes photoplethysmography (PPG) and recently has been used as a surrogate for HRV. Several studies have found that PRV is not entirely valid as an estimation of HRV and that several physiological factors, including the pulse transit time (PTT) and blood pressure (BP) changes, may affect PRV differently than HRV. This study aimed to assess the relationship between PRV and HRV under different BP states: hypotension, normotension, and hypertension. Using the MIMIC III database, 5 min segments of PPG and ECG signals were used to extract PRV and HRV, respectively. Several time-domain, frequency-domain, and nonlinear indices were obtained from these signals. Bland–Altman analysis, correlation analysis, and Friedman rank sum tests were used to compare HRV and PRV in each state, and PRV and HRV indices were compared among BP states using Kruskal–Wallis tests. The findings indicated that there were differences between PRV and HRV, especially in short-term and nonlinear indices, and although PRV and HRV were altered in a similar manner when there was a change in BP, PRV seemed to be more sensitive to these changes.
Publisher
Springer Science and Business Media LLC
Subject
Health Information Management,Health Informatics,Computer Science Applications,Medicine (miscellaneous)
Reference48 articles.
1. Mejia-Mejia, E., May, J. M., Torres, R. & Kyriacou, P. A. Pulse rate variability in cardiovascular health: a review on its applications and relationship with heart rate variability. Physiol. Meas. 41, 07TR01 (2020).
2. Shaffer, F. & Ginsberg, J. P. An overview of heart rate variability metrics and norms. Front. Public Health 5, 258 (2017).
3. Clifford, G. D., Azuaje, F. & McSharry, P. E. (eds) Advanced Methods and Tools for ECG Data Analysis (Artech House, 2006).
4. Huikuri, H. V. et al. Measurement of heart rate variability: a clinical tool or a research toy?. J. Am. Coll. Cardiol. 34, 1878–1883 (1999).
5. Xhyheri, B., Manfrini, O., Mazzolini, M., Pizzi, C. & Bugiardini, R. Heart rate variability today. Prog. Cardiovasc. Dis. 55, 321–331 (2012).
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