Paperdoi:10.1038/s41598-019-50526-0
Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge
Scientific Reports 9(1):14079, 2019
Cody E. Dunn et al., "Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge", doi:10.1038/s41598-019-50526-0, CC BY 4.0
TL;DR
Seventeen people did an orthostatic (posture) challenge while heart rate variability was measured with ECG, PPG and speckle plethysmography (SPG). SPG-derived HRV correlated highly with ECG in both time and frequency domains and was more accurate than PPG-derived HRV, which tends to degrade under physical stress.
- Form factor: finger
Abstract
Heart rate variability (HRV) provides insight into cardiovascular health and autonomic function. Electrocardiography (ECG) provides gold standard HRV measurements but is inconvenient for continuous acquisition when monitored from the extremities. Optical techniques such as photoplethysmography (PPG), often found in health and wellness trackers for heart rate measurements, have been used to estimate HRV peripherally but decline in accuracy during increased physical stress. Speckleplethysmography (SPG) is a recently introduced optical technique that provides benefits over PPG, such as increased signal amplitude and reduced susceptibility to temperature-induced vasoconstriction. In this research, we compare SPG and PPG to ECG for estimation of HRV during an orthostatic challenge performed by 17 subjects. We find that SPG estimations of HRV are highly correlated to ECG HRV for both time and frequency domain parameters and provide increased accuracy over PPG estimations of HRV. The results suggest SPG measurements are a viable alternative for HRV estimation when ECG measurements are impractical.
Verbatim from the publisher's DOI record (opens in a new tab) · Publisher licence: https://creativecommons.org/licenses/by/4.0
Results on ChatPPG leaderboards
All leaderboardsNo results from this paper on ChatPPG leaderboards yet. Browse the leaderboards.
Tasks & signals
Signals
Keywords
How it works
- Wavelengths
- laser (λ not in abstract)
Cite this paper
Dunn, C. E., Monroe, D. C., Crouzet, C., Hicks, J. W., & Choi, B. (2019). Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge. Scientific Reports , 2019, 9(1), 14079. https://doi.org/10.1038/s41598-019-50526-0
Dunn, Cody E., Derek C. Monroe, Christian Crouzet, James W. Hicks, and Bernard Choi. 2019. "Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge." Scientific Reports , 2019 9 (1): 14079. https://doi.org/10.1038/s41598-019-50526-0.
Dunn, C. E., Monroe, D. C., Crouzet, C., Hicks, J. W. and Choi, B. (2019) 'Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge', Scientific Reports , 2019, 9(1), p. 14079. doi: 10.1038/s41598-019-50526-0.
Dunn, Cody E., et al. "Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge." Scientific Reports , 2019, vol. 9, no. 1, 2019, p. 14079. https://doi.org/10.1038/s41598-019-50526-0.
C. E. Dunn, D. C. Monroe, C. Crouzet, J. W. Hicks, and B. Choi, "Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge," Scientific Reports , 2019, vol. 9, no. 1, p. 14079, 2019, doi: 10.1038/s41598-019-50526-0.
@article{dunn2019speckleplethysmographic,
title = {{Speckleplethysmographic (SPG) Estimation of Heart Rate Variability During an Orthostatic Challenge}},
author = {Dunn, Cody E. and Monroe, Derek C. and Crouzet, Christian and Hicks, James W. and Choi, Bernard},
year = {2019},
journal = {Scientific Reports , 2019},
volume = {9},
number = {1},
pages = {14079},
doi = {10.1038/s41598-019-50526-0}
}Added to the ChatPPG research hub