Are Wearable Photoplethysmogram-Based Heart Rate Variability Measures Equivalent to Electrocardiogram? A Simulation Study

被引:3
作者
Dewig, Hayden G. [1 ]
Cohen, Jeremy N. [2 ]
Renaghan, Eric J. [3 ]
Leary, Miriam E. [4 ]
Leary, Brian K. [4 ]
Au, Jason S. [2 ]
Tenan, Matthew S. [1 ]
机构
[1] West Virginia Univ, Rockefeller Neurosci Inst, 33 Med Ctr Dr, Morgantown, WV 26505 USA
[2] Univ Waterloo, Dept Kinesiol & Hlth Sci, Waterloo, ON, Canada
[3] Univ Miami, Dept Athlet, Coral Gables, FL USA
[4] West Virginia Univ, Div Exercise Physiol, Morgantown, WV USA
关键词
TIME-FREQUENCY ANALYSIS; PULSE-RATE VARIABILITY; METAANALYSIS; SURROGATE;
D O I
10.1007/s40279-024-02066-5
中图分类号
G8 [体育];
学科分类号
04 ; 0403 ;
摘要
BackgroundTraditional electrocardiography (ECG)-derived heart rate variability (HRV) and photoplethysmography (PPG)-derived "HRV" (termed PRV) have been reported interchangeably. Any potential dissociation between HRV and PRV could be due to the variability in pulse arrival time (PAT; time between heartbeat and peripheral pulse).ObjectiveThis study examined if PRV is equivalent to ECG-derived HRV and if PRV's innate error makes it a high-quality measurement separate from HRV.MethodsECG data from 1084 subjects were obtained from the PhysioNet Autonomic Aging dataset, and individual PAT dispersions for both the wrist (n = 42) and finger (n = 49) were derived from Mol et al. (Exp Gerontol. 2020; 135: 110938). A Bayesian simulation was constructed whereby the individual arrival times of the PPG wave were calculated by placing a Gaussian prior on the individual QRS-wave timings of each ECG series. The standard deviation (sigma) of the prior corresponds to the PAT dispersion from Mol et al. This was simulated 10,000 times for each PAT sigma. The root mean square of successive differences (RMSSD) and standard deviation of N-N intervals (SDNN) were calculated for both HRV and PRV. The Region of Practical Equivalence bounds (ROPE) were set a priori at +/- 0.2% of true HRV. The highest density interval (HDI) width, encompassing 95% of the posterior distribution, was calculated for each PAT sigma.ResultsThe lowest PAT sigma (2.0 SD) corresponded to 88.4% within ROPE for SDNN and 21.4% for RMSSD. As the sigma of PAT increases, the equivalence of PRV and HRV decreases for both SDNN and RMSSD. The HDI interval width increases with increasing PAT sigma, with the HDI width increasing at a higher rate for RMSSD than SDNN.ConclusionsFor individuals with greater PAT variability, PRV is not a surrogate for HRV. When considering PRV as a unique biometric measure, SDNN may have more favorable measurement properties than RMSSD, though both exhibit a non-uniform measurement error.
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收藏
页码:2927 / 2934
页数:8
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