Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG
Remote photoplethysmography (rPPG) provides a non-contact method for measuring blood volume changes. In this study, we compared rPPG signals obtained from video cameras with traditional contact-based photoplethysmography (cPPG) to assess the effectiveness of different RGB channels in cardiac signal...
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| Format: | Article |
| Language: | English |
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Frontiers Media S.A.
2023-12-01
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| Series: | Frontiers in Physiology |
| Subjects: | |
| Online Access: | https://www.frontiersin.org/articles/10.3389/fphys.2023.1296277/full |
| _version_ | 1797383007954272256 |
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| author | Rodrigo Castellano Ontiveros Rodrigo Castellano Ontiveros Mohamed Elgendi Giuseppe Missale Giuseppe Missale Carlo Menon |
| author_facet | Rodrigo Castellano Ontiveros Rodrigo Castellano Ontiveros Mohamed Elgendi Giuseppe Missale Giuseppe Missale Carlo Menon |
| author_sort | Rodrigo Castellano Ontiveros |
| collection | DOAJ |
| description | Remote photoplethysmography (rPPG) provides a non-contact method for measuring blood volume changes. In this study, we compared rPPG signals obtained from video cameras with traditional contact-based photoplethysmography (cPPG) to assess the effectiveness of different RGB channels in cardiac signal extraction. Our objective was to determine the most effective RGB channel for detecting blood volume changes and estimating heart rate. We employed dynamic time warping, Pearson’s correlation coefficient, root-mean-square error, and Beats-per-minute Difference to evaluate the performance of each RGB channel relative to cPPG. The results revealed that the green channel was superior, outperforming the blue and red channels in detecting volumetric changes and accurately estimating heart rate across various activities. We also observed that the reliability of RGB signals varied based on recording conditions and subject activity. This finding underscores the importance of understanding the performance nuances of RGB inputs, crucial for constructing rPPG signals in algorithms. Our study is significant in advancing rPPG research, offering insights that could benefit clinical applications by improving non-contact methods for blood volume assessment. |
| first_indexed | 2024-03-08T21:13:35Z |
| format | Article |
| id | doaj.art-a7288a6ec8cd44b0a4203aa7c0124c70 |
| institution | Directory Open Access Journal |
| issn | 1664-042X |
| language | English |
| last_indexed | 2024-03-08T21:13:35Z |
| publishDate | 2023-12-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Physiology |
| spelling | doaj.art-a7288a6ec8cd44b0a4203aa7c0124c702023-12-22T04:33:13ZengFrontiers Media S.A.Frontiers in Physiology1664-042X2023-12-011410.3389/fphys.2023.12962771296277Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPGRodrigo Castellano Ontiveros0Rodrigo Castellano Ontiveros1Mohamed Elgendi2Giuseppe Missale3Giuseppe Missale4Carlo Menon5Biomedical and Mobile Health Technology Lab, Department of Health Sciences and Technology, Zurich, SwitzerlandSchool of Electrical Engineering and Computer Science, KTH Royal Institute of Technology, Stockholm, SwedenBiomedical and Mobile Health Technology Lab, Department of Health Sciences and Technology, Zurich, SwitzerlandBiomedical and Mobile Health Technology Lab, Department of Health Sciences and Technology, Zurich, SwitzerlandElectronics and Telecommunications Department, Politecnico Di Torino, Torino, ItalyBiomedical and Mobile Health Technology Lab, Department of Health Sciences and Technology, Zurich, SwitzerlandRemote photoplethysmography (rPPG) provides a non-contact method for measuring blood volume changes. In this study, we compared rPPG signals obtained from video cameras with traditional contact-based photoplethysmography (cPPG) to assess the effectiveness of different RGB channels in cardiac signal extraction. Our objective was to determine the most effective RGB channel for detecting blood volume changes and estimating heart rate. We employed dynamic time warping, Pearson’s correlation coefficient, root-mean-square error, and Beats-per-minute Difference to evaluate the performance of each RGB channel relative to cPPG. The results revealed that the green channel was superior, outperforming the blue and red channels in detecting volumetric changes and accurately estimating heart rate across various activities. We also observed that the reliability of RGB signals varied based on recording conditions and subject activity. This finding underscores the importance of understanding the performance nuances of RGB inputs, crucial for constructing rPPG signals in algorithms. Our study is significant in advancing rPPG research, offering insights that could benefit clinical applications by improving non-contact methods for blood volume assessment.https://www.frontiersin.org/articles/10.3389/fphys.2023.1296277/fullrPPGpulse oximentryblood flowvolumetric changesdigital healthmobile health |
| spellingShingle | Rodrigo Castellano Ontiveros Rodrigo Castellano Ontiveros Mohamed Elgendi Giuseppe Missale Giuseppe Missale Carlo Menon Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG Frontiers in Physiology rPPG pulse oximentry blood flow volumetric changes digital health mobile health |
| title | Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG |
| title_full | Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG |
| title_fullStr | Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG |
| title_full_unstemmed | Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG |
| title_short | Evaluating RGB channels in remote photoplethysmography: a comparative study with contact-based PPG |
| title_sort | evaluating rgb channels in remote photoplethysmography a comparative study with contact based ppg |
| topic | rPPG pulse oximentry blood flow volumetric changes digital health mobile health |
| url | https://www.frontiersin.org/articles/10.3389/fphys.2023.1296277/full |
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