Validity Of Photoplethysmography-derived Heart Rate Variability Data During Slow-paced Breathing

Chronic low resting heart rate variability (HRV) has been associated with poorer mental health and higher cardiovascular morbidity and mortality. HRV biofeedback and slow-paced breathing protocols have been utilized to increase HRV. Photoplethysmography (PPG) devices paired with smartphone applications provide more feasible methods of field-based HRV data collection, but these PPG devices must be validated during non-spontaneous breathing conditions. PURPOSE: To determine the concurrent validity of PPG-derived HRV metrics in relation to electrocardiography (ECG)-derived HRV metrics during slow-paced breathing in the seated and supine positions. METHODS: 5 minutes of R-R interval, heart rate (HR), and natural log of root mean square of the successive differences (lnRMSSD) data from 18 participants (10 males, 8 females) were simultaneously collected by PPG and ECG devices in the seated and then supine positions with breathing frequency controlled at 6 breaths per minute. RESULTS: A trivial (g = 0.20), but statistically significant (p < 0.05) difference between PPG-derived and ECG-derived HR data was observed in the supine position only. All other differences were non-statistically significant (p > 0.05) and trivial-to-small (g = 0.03 – 0.38) in nature. In addition, a strong relationship (r = 0.67) and large agreement (CCC = 0.62) between PPG-derived and ECG-derived lnRMSSD data was observed in the supine position, but near-perfect relationships (r = 0.95 – 1.00) and agreement (CCC = 0.87 – 1.00) were observed in all other conditions. Lastly, all percentage errors were under the clinically acceptable threshold (< 30%) in all conditions. CONCLUSIONS: Adequate validity of PPG-derived HRV data was observed during slow-paced breathing in both the seated and supine positions, with a slight attenuation in the supine position. As a result, practitioners and researchers can confidently utilize PPG-derived HRV data under slow-paced breathing conditions.

Authors

Institutions

Publication Details

Journal
Medicine & Science in Sports & Exercise
Published
2025-09-16
DOI
https://doi.org/10.1249/01.mss.0001156892.83337.37
Primary Topic
Non-Invasive Vital Sign Monitoring
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Validity Of Photoplethysmography-derived Heart Rate Variability Data During Slow-paced Breathing

David J. Cornell, Donald W. Rogers, Courtney W. Hess, Sabrina E. Noel et al.
Medicine & Science in Sports & Exercise
Non-Invasive Vital Sign Monitoring
article

Validity Of Photoplethysmography-derived Heart Rate Variability Data During Slow-paced Breathing

David J. Cornell, Donald W. Rogers, Courtney W. Hess, Sabrina E. Noel, Megan T. Duong, Kiley E. Arnold
article en

Abstract

Chronic low resting heart rate variability (HRV) has been associated with poorer mental health and higher cardiovascular morbidity and mortality. HRV biofeedback and slow-paced breathing protocols have been utilized to increase HRV. Photoplethysmography (PPG) devices paired with smartphone applications provide more feasible methods of field-based HRV data collection, but these PPG devices must be validated during non-spontaneous breathing conditions. PURPOSE: To determine the concurrent validity of PPG-derived HRV metrics in relation to electrocardiography (ECG)-derived HRV metrics during slow-paced breathing in the seated and supine positions. METHODS: 5 minutes of R-R interval, heart rate (HR), and natural log of root mean square of the successive differences (lnRMSSD) data from 18 participants (10 males, 8 females) were simultaneously collected by PPG and ECG devices in the seated and then supine positions with breathing frequency controlled at 6 breaths per minute. RESULTS: A trivial (g = 0.20), but statistically significant (p < 0.05) difference between PPG-derived and ECG-derived HR data was observed in the supine position only. All other differences were non-statistically significant (p > 0.05) and trivial-to-small (g = 0.03 – 0.38) in nature. In addition, a strong relationship (r = 0.67) and large agreement (CCC = 0.62) between PPG-derived and ECG-derived lnRMSSD data was observed in the supine position, but near-perfect relationships (r = 0.95 – 1.00) and agreement (CCC = 0.87 – 1.00) were observed in all other conditions. Lastly, all percentage errors were under the clinically acceptable threshold (< 30%) in all conditions. CONCLUSIONS: Adequate validity of PPG-derived HRV data was observed during slow-paced breathing in both the seated and supine positions, with a slight attenuation in the supine position. As a result, practitioners and researchers can confidently utilize PPG-derived HRV data under slow-paced breathing conditions.

Medicine & Science in Sports & ExerciseVol. 57(10S)
University of Massachusetts Lowell (US), Cornell University (US), Stanford University (US)
Openalex Percentile: Top 76%
Non-Invasive Vital Sign Monitoring
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.