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...
Main Authors: | , , , , , , , , , , , , , , , , , , , , |
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Format: | Article |
Language: | English |
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Sciendo
2021-12-01
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Series: | Journal of Electrical Bioimpedance |
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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. |
first_indexed | 2024-12-11T19:38:15Z |
format | Article |
id | doaj.art-26c577a4772c4a02801e86564346bcda |
institution | Directory Open Access Journal |
issn | 1891-5469 |
language | English |
last_indexed | 2024-12-11T19:38:15Z |
publishDate | 2021-12-01 |
publisher | Sciendo |
record_format | Article |
series | Journal of Electrical Bioimpedance |
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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