Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress

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 b...

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Main Authors: Singstad Bjørn-Jostein, Azulay Naomi, Bjurstedt Andreas, Bjørndal Simen S., Drageseth Magnus F., Engeset Peter, Eriksen Kari, Gidey Muluberhan Y., Granum Espen O., Greaker Matias G., Grorud Amund, Hewes Sebastian O., Hou Jie, Llop Recha Adrián M., Matre Christoffer, Seputis Arnoldas, Sørensen Simen E., Thøgersen Vegard, Joten Vegard Munkeby, Tronstad Christian, Martinsen Ørjan G.
Format: Article
Language:English
Published: Sciendo 2021-12-01
Series:Journal of Electrical Bioimpedance
Subjects:
Online Access:https://doi.org/10.2478/joeb-2021-0012
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author Singstad Bjørn-Jostein
Azulay Naomi
Bjurstedt Andreas
Bjørndal Simen S.
Drageseth Magnus F.
Engeset Peter
Eriksen Kari
Gidey Muluberhan Y.
Granum Espen O.
Greaker Matias G.
Grorud Amund
Hewes Sebastian O.
Hou Jie
Llop Recha Adrián M.
Matre Christoffer
Seputis Arnoldas
Sørensen Simen E.
Thøgersen Vegard
Joten Vegard Munkeby
Tronstad Christian
Martinsen Ørjan G.
author_facet Singstad Bjørn-Jostein
Azulay Naomi
Bjurstedt Andreas
Bjørndal Simen S.
Drageseth Magnus F.
Engeset Peter
Eriksen Kari
Gidey Muluberhan Y.
Granum Espen O.
Greaker Matias G.
Grorud Amund
Hewes Sebastian O.
Hou Jie
Llop Recha Adrián M.
Matre Christoffer
Seputis Arnoldas
Sørensen Simen E.
Thøgersen Vegard
Joten Vegard Munkeby
Tronstad Christian
Martinsen Ørjan G.
author_sort Singstad Bjørn-Jostein
collection DOAJ
description 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.
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spelling doaj.art-26c577a4772c4a02801e86564346bcda2022-12-22T00:53:05ZengSciendoJournal of Electrical Bioimpedance1891-54692021-12-011218910210.2478/joeb-2021-0012Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stressSingstad Bjørn-Jostein0Azulay Naomi1Bjurstedt Andreas2Bjørndal Simen S.3Drageseth Magnus F.4Engeset Peter5Eriksen Kari6Gidey Muluberhan Y.7Granum Espen O.8Greaker Matias G.9Grorud Amund10Hewes Sebastian O.11Hou Jie12Llop Recha Adrián M.13Matre Christoffer14Seputis Arnoldas15Sørensen Simen E.16Thøgersen Vegard17Joten Vegard Munkeby18Tronstad Christian19Martinsen Ørjan G.20Department of Physics, University of Oslo, Oslo, NorwayDepartment of Research and Development, Division of Emergencies and Critical Care, Oslo University Hospital, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDepartment of Clinical and Biomedical Engineering, Oslo University Hospital, Oslo, NorwayDepartment of Physics, University of Oslo, Oslo, NorwayDue 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.https://doi.org/10.2478/joeb-2021-0012electrocardiographyplethysmographyheart rate variability
spellingShingle Singstad Bjørn-Jostein
Azulay Naomi
Bjurstedt Andreas
Bjørndal Simen S.
Drageseth Magnus F.
Engeset Peter
Eriksen Kari
Gidey Muluberhan Y.
Granum Espen O.
Greaker Matias G.
Grorud Amund
Hewes Sebastian O.
Hou Jie
Llop Recha Adrián M.
Matre Christoffer
Seputis Arnoldas
Sørensen Simen E.
Thøgersen Vegard
Joten Vegard Munkeby
Tronstad Christian
Martinsen Ørjan G.
Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress
Journal of Electrical Bioimpedance
electrocardiography
plethysmography
heart rate variability
title Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress
title_full Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress
title_fullStr Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress
title_full_unstemmed Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress
title_short Estimation of heart rate variability from finger photoplethysmography during rest, mild exercise and mild mental stress
title_sort estimation of heart rate variability from finger photoplethysmography during rest mild exercise and mild mental stress
topic electrocardiography
plethysmography
heart rate variability
url https://doi.org/10.2478/joeb-2021-0012
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