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Sensors 2018, 18(12), 4340; https://doi.org/10.3390/s18124340

Frame Registration for Motion Compensation in Imaging Photoplethysmography

Wolfson School of Mechanical, Electrical and Manufacturing Engineering, Loughborough University, Loughborough LE11 3TU, UK
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Received: 23 October 2018 / Revised: 5 December 2018 / Accepted: 6 December 2018 / Published: 8 December 2018
(This article belongs to the Section Physical Sensors)
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Abstract

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. View Full-Text
Keywords: frame registration; imaging photoplethysmography (iPPG); remote sensing; heart rate measurement; motion artifact; motion compensation; signal processing; region of interest (ROI); healthcare frame registration; imaging photoplethysmography (iPPG); remote sensing; heart rate measurement; motion artifact; motion compensation; signal processing; region of interest (ROI); healthcare
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Iakovlev, D.; Hu, S.; Dwyer, V. Frame Registration for Motion Compensation in Imaging Photoplethysmography. Sensors 2018, 18, 4340.

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