Next Article in Journal
Cost-Effective Bull’s Eye Aperture-Style Multi-Band Metamaterial Absorber at Sub-THz Band: Design, Numerical Analysis, and Physical Interpretation
Next Article in Special Issue
Wearable Pulse Oximeter for Swimming Pool Safety
Previous Article in Journal
Suppression Method of Optical Noises in Resonator-Integrated Optic Gyroscopes
Previous Article in Special Issue
Proposal for a Home Sleep Monitoring Platform Employing a Smart Glove
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude

1
IRCCS Fondazione Don Carlo Gnocchi ONLUS, 20148 Milan, Italy
2
Department of Cardiovascular, Neural and Metabolic Sciences, Istituto Auxologico Italiano, IRCCS, 20149 Milan, Italy
3
Department of Medicine and Surgery, University of Milano-Bicocca, 20126 Milan, Italy
*
Author to whom correspondence should be addressed.
Sensors 2022, 22(8), 2891; https://doi.org/10.3390/s22082891
Submission received: 28 February 2022 / Revised: 28 March 2022 / Accepted: 5 April 2022 / Published: 9 April 2022

Abstract

The interest in photoplethysmography (PPG) for sleep monitoring is increasing because PPG may allow assessing heart rate variability (HRV), which is particularly important in breathing disorders. Thus, we aimed to evaluate how PPG wearable systems measure HRV during sleep at high altitudes, where hypobaric hypoxia induces respiratory disturbances. We considered PPG and electrocardiographic recordings in 21 volunteers sleeping at 4554 m a.s.l. (as a model of sleep breathing disorder), and five alpine guides sleeping at sea level, 6000 m and 6800 m a.s.l. Power spectra, multiscale entropy, and self-similarity were calculated for PPG tachograms and electrocardiography R–R intervals (RRI). Results demonstrated that wearable PPG devices provide HRV measures even at extremely high altitudes. However, the comparison between PPG tachograms and RRI showed discrepancies in the faster spectral components and at the shorter scales of self-similarity and entropy. Furthermore, the changes in sleep HRV from sea level to extremely high altitudes quantified by RRI and PPG tachograms in the five alpine guides tended to be different at the faster frequencies and shorter scales. Discrepancies may be explained by modulations of pulse wave velocity and should be considered to interpret correctly autonomic alterations during sleep from HRV analysis.
Keywords: spectral analysis; self-similarity; detrended fluctuation analysis; SampEn; multiscale entropy; sleep; breathing disorders; polysomnography; HRV spectral analysis; self-similarity; detrended fluctuation analysis; SampEn; multiscale entropy; sleep; breathing disorders; polysomnography; HRV

Share and Cite

MDPI and ACS Style

Castiglioni, P.; Meriggi, P.; Di Rienzo, M.; Lombardi, C.; Parati, G.; Faini, A. Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude. Sensors 2022, 22, 2891. https://doi.org/10.3390/s22082891

AMA Style

Castiglioni P, Meriggi P, Di Rienzo M, Lombardi C, Parati G, Faini A. Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude. Sensors. 2022; 22(8):2891. https://doi.org/10.3390/s22082891

Chicago/Turabian Style

Castiglioni, Paolo, Paolo Meriggi, Marco Di Rienzo, Carolina Lombardi, Gianfranco Parati, and Andrea Faini. 2022. "Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude" Sensors 22, no. 8: 2891. https://doi.org/10.3390/s22082891

APA Style

Castiglioni, P., Meriggi, P., Di Rienzo, M., Lombardi, C., Parati, G., & Faini, A. (2022). Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude. Sensors, 22(8), 2891. https://doi.org/10.3390/s22082891

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop