Estimation of Heart Rate Variability from Finger Photoplethysmography During Rest, Mild Exercise and Mild Mental Stress.
electrocardiography
heart rate variability
plethysmography
Journal
Journal of electrical bioimpedance
ISSN: 1891-5469
Titre abrégé: J Electr Bioimpedance
Pays: Poland
ID NLM: 101769140
Informations de publication
Date de publication:
Jan 2021
Jan 2021
Historique:
received:
29
04
2021
entrez:
24
1
2022
pubmed:
25
1
2022
medline:
25
1
2022
Statut:
epublish
Résumé
Due to the possibilities in miniaturization and wearability, photoplethysmography (PPG) has recently gained a large interest not only for heart rate measurement, but also for estimating heart rate variability, which is derived from ECG by convention. The agreement between PPG and ECG-based HRV has been assessed in several studies, but the feasibility of PPG-based HRV estimation is still largely unknown for many conditions. In this study, we assess the feasibility of HRV estimation based on finger PPG during rest, mild physical exercise and mild mental stress. In addition, we compare different variants of signal processing methods including selection of fiducial point and outlier correction. Based on five minutes synchronous recordings of PPG and ECG from 15 healthy participants during each of these three conditions, the PPG-based HRV estimation was assessed for the SDNN and RMSSD parameters, calculated based on two different fiducial points (foot point and maximum slope), with and without outlier correction. The results show that HRV estimation based on finger PPG is feasible during rest and mild mental stress, but can give large errors during mild physical exercise. A good estimation is very dependent on outlier correction and fiducial point selection, and SDNN seems to be a more robust parameter compared to RMSSD for PPG-based HRV estimation.
Identifiants
pubmed: 35069945
doi: 10.2478/joeb-2021-0012
pii: joeb-2021-0012
pmc: PMC8713388
doi:
Types de publication
Journal Article
Langues
eng
Pagination
89-102Informations de copyright
© 2020 Bjørn-Jostein Singstad, Naomi Azulay, Andreas Bjurstedt, Simen S. Bjørndal, Magnus F. Drageseth, Peter Engeset, Kari Eriksen, Muluberhan Y. Gidey, Espen O. Granum, Matias G. Greaker, Amund Grorud, Sebastian O. Hewes, Jie Hou, Adrián M. Llop Recha, Christoffer Matre, Arnoldas Seputis, Simen E. Sørensen, Vegard Thøgersen, Vegard Munkeby Joten, Christian Tronstad and Ørjan G. Martinsen, published by Sciendo.
Déclaration de conflit d'intérêts
Conflict of interest Authors state no conflict of interest.
Références
Physiol Meas. 2020 Aug 11;41(7):07TR01
pubmed: 32498055
Annu Int Conf IEEE Eng Med Biol Soc. 2015;2015:5952-5
pubmed: 26737647
Healthc Technol Lett. 2018 Feb 12;5(2):59-64
pubmed: 29750114
NPJ Digit Med. 2019 Jun 26;2:60
pubmed: 31388564
Annu Int Conf IEEE Eng Med Biol Soc. 2012;2012:2901-4
pubmed: 23366531
Front Physiol. 2019 Mar 05;10:198
pubmed: 30890959
Sensors (Basel). 2020 Jun 02;20(11):
pubmed: 32498403
IEEE Trans Biomed Eng. 1985 Mar;32(3):230-6
pubmed: 3997178
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:1587-1590
pubmed: 29060185
Int J Cardiol. 2013 Jun 5;166(1):15-29
pubmed: 22809539
Eur J Appl Physiol. 2016 Aug;116(8):1527-35
pubmed: 27278521
IEEE Trans Biomed Eng. 2017 Sep;64(9):2042-2053
pubmed: 28212075
Healthc Technol Lett. 2015 Feb 24;2(1):6-11
pubmed: 26609397
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:250-253
pubmed: 29059857
Ergonomics. 1995 Jul;38(7):1342-51
pubmed: 7635125
Int J Psychophysiol. 2013 Sep;89(3):297-304
pubmed: 23751411
Psychophysiology. 2002 Mar;39(2):246-53
pubmed: 12212675
Annu Int Conf IEEE Eng Med Biol Soc. 2016 Aug;2016:2945-2949
pubmed: 28268930
Physiol Meas. 2019 Feb 26;40(2):025007
pubmed: 30669123
Annu Int Conf IEEE Eng Med Biol Soc. 2017 Jul;2017:109-112
pubmed: 29059822
Handb Clin Neurol. 2013;117:379-93
pubmed: 24095141
Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:935-8
pubmed: 18002111
Physiol Meas. 2020 May 07;41(4):04NT01
pubmed: 32217820
IEEE Trans Biomed Eng. 2015 Feb;62(2):522-31
pubmed: 25252274