Key result
Changes in stroke rate and flow alter pulse rate variability independently of heart rate.
Why the study?
Pulse rate variability measured from photoplethysmography is used as a surrogate for heart rate variability, but factors affecting their relationship remain unclear.
p-value: p=<0.05
Pulse rate variability indices may be confounded by stroke rate and flow in vitro; hypothesis-generating and should not yet change clinical monitoring.
Pulse rate variability (PRV), measured from pulsatile signals such as the photoplethysmogram (PPG), has been largely used in recent years as a surrogate of heart rate variability (HRV), which is measured from electrocardiograms (ECG). However, different studies have shown that PRV does not always replicate HRV as there are multiple factors that could affect their relationship, such as respiration and pulse transit time. In this study, an in-vitro model was developed for the simulation of the upper-circulatory system, and PPG signals were acquired from it when haemodynamic changes were induced. PRV was obtained from these signals and time-domain, frequency-domain and non-linear indices were extracted. Factorial analyses were performed to understand the effects of changing blood pressure and flow on PRV indices in the absence of HRV. Results showed that PRV indices are affected by these haemodynamic changes and that these may explain some of the differences between HRV and PRV. Future studies should aim to replicate these results in healthy volunteers and patients, as well as to include the HRV information in the in-vitro model for a more profound understanding of these differences.
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Mejía‐Mejía et al. (2022) studied In-vitro simulation of the upper-circulatory system. Haemodynamic changes (varying stroke rate and target flow) vs. Different levels of stroke rate and target flow was evaluated on Pulse rate variability (PRV) indices extracted from photoplethysmography signals (p=<0.05). In an in-vitro upper-body circulatory model lacking heart rate variability, pulse rate variability indices were significantly affected by changes in stroke rate and target flow.
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