Key result
Video-derived pulse rate variability correlates strongly with ECG-derived HRV at rest but declines during standing.
Why the study?
Does pulse rate variability derived from video-photoplethysmography accurately reflect heart rate variability from ECG during rest and orthostatic stress in healthy subjects?
Observational (n=60)
No
Does pulse rate variability derived from video-photoplethysmography accurately reflect heart rate variability from ECG during rest and orthostatic stress in healthy subjects?
Answers are grounded in this paper and cite their sources.
Video-derived pulse rate variability is a viable contactless surrogate for ECG-derived heart rate variability during rest, though its reliability diminishes during orthostatic stress.
In this paper, classical time- and frequency-domain variability indexes obtained by pulse rate variability (PRV) series extracted from video-photoplethysmography signals (vPPG) were compared with heart rate variability (HRV) parameters extracted from ECG signals. The study focuses on the analysis of the changes observed during a rest-to-stand manoeuvre (a mild sympathetic stimulus) performed on 60 young, normal subjects (age: [Formula: see text] years). The objective is to evaluate if video-derived PRV indexes may replace HRV in the assessment of autonomic responses to external stimulation. Video recordings were performed with a GigE Sony XCG-C30C camera and analyzed offline to extract the vPPG signal. A new method based on zero-phase component analysis (ZCA) was employed in combination with a fully-automatic method for detection and tracking of region of interest (ROI) located on the forehead, the cheek and the nose. Results show an overall agreement between time and frequency domain indexes computed on HRV and PRV series. However, some differences exist between resting and standing conditions. During rest, all the indexes computed on HRV and PRV series were not statistically significantly different (p > 0.05), and showed high correlation (Pearson's r > 0.90). The agreement decreases during standing, especially for the high-frequency, respiration-related parameters such as RMSSD (r = 0.75), pNN50 (r = 0.68) and HF power (r = 0.76). Finally, the power in the LF band (n.u.) was observed to increase significantly during standing by both HRV ([Formula: see text] versus [Formula: see text] (n.u.); rest versus standing) and PRV ([Formula: see text] versus [Formula: see text](n.u.); rest versus standing) analysis, but such an increase was lower in PRV parameters than that observed by HRV indexes. These results provide evidence that some differences exist between variability indexes extracted from HRV and video-derived PRV, mainly in the HF band during standing. However, despite these differences video-derived PRV indexes were able to evince the autonomic responses expected by the sympathetic stimulation induced by the rest-to-stand manoeuvre.
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Iozzia et al. (2016) conducted an observational in Healthy (n=60). Video-derived pulse rate variability (vPPG PRV) vs. ECG-derived heart rate variability (HRV) was evaluated on Agreement between classical time- and frequency-domain variability indexes obtained by PRV and HRV during resting conditions (Pearson's r > 0.90, p=> 0.05). Video-derived pulse rate variability showed high correlation with ECG-derived heart rate variability during rest, but agreement decreased during standing, particularly for high-frequency parameters.
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