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Sensors 2017, 17(10), 2385; doi:10.3390/s17102385

Photoplethysmography Signal Analysis for Optimal Region-of-Interest Determination in Video Imaging on a Built-In Smartphone under Different Conditions

1
Department of Computer Science and Engineering, Soonchunhyang University, Asan 31538, Korea
2
Department of Architecture, Joongbu University, Goyang 10279, Korea
*
Author to whom correspondence should be addressed.
Received: 23 August 2017 / Revised: 28 September 2017 / Accepted: 18 October 2017 / Published: 19 October 2017
(This article belongs to the Special Issue Advanced Physiological Sensing)

Abstract

Smartphones and tablets are widely used in medical fields, which can improve healthcare and reduce healthcare costs. Many medical applications for smartphones and tablets have already been developed and widely used by both health professionals and patients. Specifically, video recordings of fingertips made using a smartphone camera contain a pulsatile component caused by the cardiac pulse equivalent to that present in a photoplethysmographic signal. By performing peak detection on the pulsatile signal, it is possible to estimate a continuous heart rate and a respiratory rate. To estimate the heart rate and respiratory rate accurately, which pixel regions of the color bands give the most optimal signal quality should be investigated. In this paper, we investigate signal quality to determine the best signal quality by the largest amplitude values for three different smartphones under different conditions. We conducted several experiments to obtain reliable PPG signals and compared the PPG signal strength in the three color bands when the flashlight was both on and off. We also evaluated the intensity changes of PPG signals obtained from the smartphones with motion artifacts and fingertip pressure force. Furthermore, we have compared the PSNR of PPG signals of the full-size images with that of the region of interests (ROIs). View Full-Text
Keywords: healthcare; smartphone; photoplethysmography (PPG); motion artifact; ROI healthcare; smartphone; photoplethysmography (PPG); motion artifact; ROI
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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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Nam, Y.; Nam, Y.-C. Photoplethysmography Signal Analysis for Optimal Region-of-Interest Determination in Video Imaging on a Built-In Smartphone under Different Conditions. Sensors 2017, 17, 2385.

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