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Heart Rate Variability and Pulse Rate Variability: Do Anatomical Location and Sampling Rate Matter?
Joel S Burma1,2,3,4,5,6,7, James K Griffiths1,8, Andrew P Lapointe9
1Cerebrovascular Concussion Laboratory, Faculty of Kinesiology, University of Calgary, Calgary, AB T2N 1N4, Canada.
Pulse rate variability (PRV) from photoplethysmography (PPG) requires ~100-200 Hz sampling for <2% bias. PRV validity is better at lower rates than heart rate variability (HRV), though they are not interchangeable.
Area of Science:
- Biomedical Engineering
- Physiological Measurement
- Neuroscience
Background:
- Photoplethysmography (PPG) and wearable sensors are increasingly used for physiological monitoring.
- Existing studies show bias between pulse rate variability (PRV) from PPG and heart rate variability (HRV) from ECG.
- The minimum sampling frequency for valid PRV and its comparability between cerebral and peripheral vasculature remain unclear.
Purpose of the Study:
- To determine the minimum sampling frequency for valid PRV metrics.
- To compare PRV and HRV metrics across different anatomical locations.
- To assess the validity and bias of PRV compared to HRV at various sampling rates.
Main Methods:
- Concurrent electrocardiography (ECG) and PPG data collected from 54 participants in an upright position.
- PPG data acquired at the left third phalanx, middle cerebral artery, and posterior cerebral artery at 1000 Hz.
- Data downsampled (20-500 Hz) and analyzed for HRV and PRV using Bland-Altman plots and coefficient of variation.
Main Results:
- A sampling frequency of approximately 100-200 Hz yielded PRV metrics with <2% bias.
- A sampling rate of 40-50 Hz resulted in a bias of <20% for PRV metrics.
- PRV measures showed a slight elevation (1-8% bias) compared to HRV at 1000 Hz, with greater validity at lower sampling rates.
Conclusions:
- PRV and HRV are not interchangeable due to waveform differences, despite correlations.
- Optimal sampling rates for PPG-derived PRV are identified for minimizing bias.
- PPG-derived PRV demonstrates higher validity at lower sampling frequencies compared to ECG-derived HRV.
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