Frame Registration for Motion Compensation in Imaging Photoplethysmography
Imaging photoplethysmography (iPPG) is an emerging technology used to assess microcirculation and cardiovascular signs by collecting backscattered light from illuminated tissue using optical imaging sensors. An engineering approach is used to evaluate whether a silicone cast of a human palm might be...
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| Format: | Article |
| Language: | English |
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MDPI AG
2018-12-01
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| Series: | Sensors |
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| Online Access: | https://www.mdpi.com/1424-8220/18/12/4340 |
| _version_ | 1798041209755664384 |
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| author | Dmitry Iakovlev Sijung Hu Vincent Dwyer |
| author_facet | Dmitry Iakovlev Sijung Hu Vincent Dwyer |
| author_sort | Dmitry Iakovlev |
| collection | DOAJ |
| description | Imaging photoplethysmography (iPPG) is an emerging technology used to assess microcirculation and cardiovascular signs by collecting backscattered light from illuminated tissue using optical imaging sensors. An engineering approach is used to evaluate whether a silicone cast of a human palm might be effectively utilized to predict the results of image registration schemes for motion compensation prior to their application on live human tissue. This allows us to establish a performance baseline for each of the algorithms and to isolate performance and noise fluctuations due to the induced motion from the temporally changing physiological signs. A multi-stage evaluation model is developed to qualitatively assess the influence of the region of interest (ROI), system resolution and distance, reference frame selection, and signal normalization on extracted iPPG waveforms from live tissue. We conclude that the application of image registration is able to deliver up to 75% signal-to-noise (SNR) improvement (4.75 to 8.34) over an uncompensated iPPG signal by employing an intensity-based algorithm with a moving reference frame. |
| first_indexed | 2024-04-11T22:18:18Z |
| format | Article |
| id | doaj.art-6ec72f2e5292418389cc3bb055597304 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-11T22:18:18Z |
| publishDate | 2018-12-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-6ec72f2e5292418389cc3bb0555973042022-12-22T04:00:17ZengMDPI AGSensors1424-82202018-12-011812434010.3390/s18124340s18124340Frame Registration for Motion Compensation in Imaging PhotoplethysmographyDmitry Iakovlev0Sijung Hu1Vincent Dwyer2Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UKWolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UKWolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UKImaging photoplethysmography (iPPG) is an emerging technology used to assess microcirculation and cardiovascular signs by collecting backscattered light from illuminated tissue using optical imaging sensors. An engineering approach is used to evaluate whether a silicone cast of a human palm might be effectively utilized to predict the results of image registration schemes for motion compensation prior to their application on live human tissue. This allows us to establish a performance baseline for each of the algorithms and to isolate performance and noise fluctuations due to the induced motion from the temporally changing physiological signs. A multi-stage evaluation model is developed to qualitatively assess the influence of the region of interest (ROI), system resolution and distance, reference frame selection, and signal normalization on extracted iPPG waveforms from live tissue. We conclude that the application of image registration is able to deliver up to 75% signal-to-noise (SNR) improvement (4.75 to 8.34) over an uncompensated iPPG signal by employing an intensity-based algorithm with a moving reference frame.https://www.mdpi.com/1424-8220/18/12/4340frame registrationimaging photoplethysmography (iPPG)remote sensingheart rate measurementmotion artifactmotion compensationsignal processingregion of interest (ROI)healthcare |
| spellingShingle | Dmitry Iakovlev Sijung Hu Vincent Dwyer Frame Registration for Motion Compensation in Imaging Photoplethysmography Sensors frame registration imaging photoplethysmography (iPPG) remote sensing heart rate measurement motion artifact motion compensation signal processing region of interest (ROI) healthcare |
| title | Frame Registration for Motion Compensation in Imaging Photoplethysmography |
| title_full | Frame Registration for Motion Compensation in Imaging Photoplethysmography |
| title_fullStr | Frame Registration for Motion Compensation in Imaging Photoplethysmography |
| title_full_unstemmed | Frame Registration for Motion Compensation in Imaging Photoplethysmography |
| title_short | Frame Registration for Motion Compensation in Imaging Photoplethysmography |
| title_sort | frame registration for motion compensation in imaging photoplethysmography |
| topic | frame registration imaging photoplethysmography (iPPG) remote sensing heart rate measurement motion artifact motion compensation signal processing region of interest (ROI) healthcare |
| url | https://www.mdpi.com/1424-8220/18/12/4340 |
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