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Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2022
Data sources: Datacite
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
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Dataset . 2022
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Heart Rate Variability from Wearable Photoplethysmography Systems: Implications in Sleep Studies at High Altitude (dataset)

Authors: Paolo Castiglioni; Paolo Meriggi; Marco Di Rienzo; Carolina Lombardi; Gianfranco Parati; Andrea Faini;

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

Abstract

public anonymized dataset of the main findings of the study Abstract: The interest in photoplethysmography (PPG) for sleep monitoring is increasing because PPG may allow assessing the heart rate variability (HRV), which is particularly important in breathing disorders. Thus, we aim 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 4554m asl (as a model of sleep breathing disorder), and 5 alpine guides sleeping at sea level, 6000m and 6800m asl. 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 (TABLE 1). Furthermore, the changes in sleep HRV from sea level to extremely high altitudes quantified by RRI and PPG tachograms in the 5 alpine guides tended to be different at the faster frequencies and shorter scales (TABLE 2). 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

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
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