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Feasibility of assessing ultra-short-term pulse rate variability from video recordings

OBJECTIVES: Remote photoplethysmography (rPPG) is a promising non-contact measurement technique for assessing numerous physiological parameters: pulse rate, pulse rate variability (PRV), respiratory rate, pulse wave velocity, blood saturation, blood pressure, etc. To justify its use in ultra-short-t...

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Autores principales: Finžgar, Miha, Podržaj, Primož
Formato: Online Artículo Texto
Lenguaje:English
Publicado: PeerJ Inc. 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953345/
https://www.ncbi.nlm.nih.gov/pubmed/31938579
http://dx.doi.org/10.7717/peerj.8342
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author Finžgar, Miha
Podržaj, Primož
author_facet Finžgar, Miha
Podržaj, Primož
author_sort Finžgar, Miha
collection PubMed
description OBJECTIVES: Remote photoplethysmography (rPPG) is a promising non-contact measurement technique for assessing numerous physiological parameters: pulse rate, pulse rate variability (PRV), respiratory rate, pulse wave velocity, blood saturation, blood pressure, etc. To justify its use in ultra-short-term (UST) PRV analysis, which is of great benefit for several healthcare applications, the agreement between rPPG- and PPG-derived UST-PRV metrics was studied. APPROACH: Three time-domain metrics—standard deviation of normal-to-normal (NN) intervals (SDNN), root mean square of successive NN interval differences (RMSSD), and the percentage of adjacent NN intervals that differ from each other by more than 50 ms (pNN50)—were extracted from 56 video recordings in a publicly available data set. The selected metrics were calculated on the basis of three groups of 10 s recordings and their average, two groups of 30 s recordings and their average, and a group of 60 s recordings taken from the full-length recordings and then compared with metrics derived from the corresponding reference (PPG) pulse waveform signals by using correlation and effect size parameters, and Bland–Altman plots. MAIN RESULTS: The results show there is stronger agreement as the recording length increases for SDNN and RMSSD, yet there is no significant change for pNN50. The agreement parameters reach r = 0.841 (p < 0.001), r = 0.529 (p < 0.001), and r = 0.657 (p < 0.001), estimated median bias −1.52, −2.28 ms and −1.95% and a small effect size for SDNN, RMSSD, and pNN50 derived from the 60 s recordings, respectively. SIGNIFICANCE: Remote photoplethysmography-derived UST-PRV metrics manage to capture UST-PRV metrics derived from reference (PPG) recordings well. This feature is highly desirable in numerous applications for the assessment of one’s health and well-being. In future research, the validity of rPPG-derived UST-PRV metrics compared to the gold standard electrocardiography recordings is to be assessed.
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spelling pubmed-69533452020-01-14 Feasibility of assessing ultra-short-term pulse rate variability from video recordings Finžgar, Miha Podržaj, Primož PeerJ Anatomy and Physiology OBJECTIVES: Remote photoplethysmography (rPPG) is a promising non-contact measurement technique for assessing numerous physiological parameters: pulse rate, pulse rate variability (PRV), respiratory rate, pulse wave velocity, blood saturation, blood pressure, etc. To justify its use in ultra-short-term (UST) PRV analysis, which is of great benefit for several healthcare applications, the agreement between rPPG- and PPG-derived UST-PRV metrics was studied. APPROACH: Three time-domain metrics—standard deviation of normal-to-normal (NN) intervals (SDNN), root mean square of successive NN interval differences (RMSSD), and the percentage of adjacent NN intervals that differ from each other by more than 50 ms (pNN50)—were extracted from 56 video recordings in a publicly available data set. The selected metrics were calculated on the basis of three groups of 10 s recordings and their average, two groups of 30 s recordings and their average, and a group of 60 s recordings taken from the full-length recordings and then compared with metrics derived from the corresponding reference (PPG) pulse waveform signals by using correlation and effect size parameters, and Bland–Altman plots. MAIN RESULTS: The results show there is stronger agreement as the recording length increases for SDNN and RMSSD, yet there is no significant change for pNN50. The agreement parameters reach r = 0.841 (p < 0.001), r = 0.529 (p < 0.001), and r = 0.657 (p < 0.001), estimated median bias −1.52, −2.28 ms and −1.95% and a small effect size for SDNN, RMSSD, and pNN50 derived from the 60 s recordings, respectively. SIGNIFICANCE: Remote photoplethysmography-derived UST-PRV metrics manage to capture UST-PRV metrics derived from reference (PPG) recordings well. This feature is highly desirable in numerous applications for the assessment of one’s health and well-being. In future research, the validity of rPPG-derived UST-PRV metrics compared to the gold standard electrocardiography recordings is to be assessed. PeerJ Inc. 2020-01-07 /pmc/articles/PMC6953345/ /pubmed/31938579 http://dx.doi.org/10.7717/peerj.8342 Text en © 2020 Finžgar and Podržaj https://creativecommons.org/licenses/by/4.0/ This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ) and either DOI or URL of the article must be cited.
spellingShingle Anatomy and Physiology
Finžgar, Miha
Podržaj, Primož
Feasibility of assessing ultra-short-term pulse rate variability from video recordings
title Feasibility of assessing ultra-short-term pulse rate variability from video recordings
title_full Feasibility of assessing ultra-short-term pulse rate variability from video recordings
title_fullStr Feasibility of assessing ultra-short-term pulse rate variability from video recordings
title_full_unstemmed Feasibility of assessing ultra-short-term pulse rate variability from video recordings
title_short Feasibility of assessing ultra-short-term pulse rate variability from video recordings
title_sort feasibility of assessing ultra-short-term pulse rate variability from video recordings
topic Anatomy and Physiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6953345/
https://www.ncbi.nlm.nih.gov/pubmed/31938579
http://dx.doi.org/10.7717/peerj.8342
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