A calibration method for smartphone camera photophlethysmography

Smartphone camera photoplethysmography (cPPG) enables non-invasive pulse oximetry and hemoglobin concentration measurements. However, the aesthetic-driven non-linearity in default image capture and preprocessing pipelines poses challenges for consistency and transferability of cPPG across devices. T...

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Main Authors: Yinan Xuan, Colin Barry, Nick Antipa, Edward Jay Wang
Format: Article
Language:English
Published: Frontiers Media S.A. 2023-11-01
Series:Frontiers in Digital Health
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fdgth.2023.1301019/full
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author Yinan Xuan
Yinan Xuan
Colin Barry
Colin Barry
Nick Antipa
Edward Jay Wang
Edward Jay Wang
author_facet Yinan Xuan
Yinan Xuan
Colin Barry
Colin Barry
Nick Antipa
Edward Jay Wang
Edward Jay Wang
author_sort Yinan Xuan
collection DOAJ
description Smartphone camera photoplethysmography (cPPG) enables non-invasive pulse oximetry and hemoglobin concentration measurements. However, the aesthetic-driven non-linearity in default image capture and preprocessing pipelines poses challenges for consistency and transferability of cPPG across devices. This work identifies two key parameters—tone mapping and sensor threshold—that significantly impact cPPG measurements. We propose a novel calibration method to linearize camera measurements, thus enhancing consistency and transferability of cPPG across devices. A benchtop calibration system is also presented, leveraging a microcontroller and LED setup to characterize these parameters for each phone model. Our validation studies demonstrate that, with appropriate calibration and camera settings, cPPG applications can achieve 74% higher accuracy than with default settings. Moreover, our calibration method proves effective across different smartphone models (N=4), and calibrations performed on one phone can be applied to other smartphones of the same model (N=6), enhancing consistency and scalability of cPPG applications.
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spelling doaj.art-5e5f9649456f414cad61acfeb8bb4d5a2023-11-24T15:23:24ZengFrontiers Media S.A.Frontiers in Digital Health2673-253X2023-11-01510.3389/fdgth.2023.13010191301019A calibration method for smartphone camera photophlethysmographyYinan Xuan0Yinan Xuan1Colin Barry2Colin Barry3Nick Antipa4Edward Jay Wang5Edward Jay Wang6Electrical and Computer Engineering, UC San Diego, La Jolla, CA, United StatesThe Design Lab, UC San Diego, La Jolla, CA, USAElectrical and Computer Engineering, UC San Diego, La Jolla, CA, United StatesThe Design Lab, UC San Diego, La Jolla, CA, USAElectrical and Computer Engineering, UC San Diego, La Jolla, CA, United StatesElectrical and Computer Engineering, UC San Diego, La Jolla, CA, United StatesThe Design Lab, UC San Diego, La Jolla, CA, USASmartphone camera photoplethysmography (cPPG) enables non-invasive pulse oximetry and hemoglobin concentration measurements. However, the aesthetic-driven non-linearity in default image capture and preprocessing pipelines poses challenges for consistency and transferability of cPPG across devices. This work identifies two key parameters—tone mapping and sensor threshold—that significantly impact cPPG measurements. We propose a novel calibration method to linearize camera measurements, thus enhancing consistency and transferability of cPPG across devices. A benchtop calibration system is also presented, leveraging a microcontroller and LED setup to characterize these parameters for each phone model. Our validation studies demonstrate that, with appropriate calibration and camera settings, cPPG applications can achieve 74% higher accuracy than with default settings. Moreover, our calibration method proves effective across different smartphone models (N=4), and calibrations performed on one phone can be applied to other smartphones of the same model (N=6), enhancing consistency and scalability of cPPG applications.https://www.frontiersin.org/articles/10.3389/fdgth.2023.1301019/fullsmartphonephotoplethysmographycalibrationpulse oximetryhemoglobincamera
spellingShingle Yinan Xuan
Yinan Xuan
Colin Barry
Colin Barry
Nick Antipa
Edward Jay Wang
Edward Jay Wang
A calibration method for smartphone camera photophlethysmography
Frontiers in Digital Health
smartphone
photoplethysmography
calibration
pulse oximetry
hemoglobin
camera
title A calibration method for smartphone camera photophlethysmography
title_full A calibration method for smartphone camera photophlethysmography
title_fullStr A calibration method for smartphone camera photophlethysmography
title_full_unstemmed A calibration method for smartphone camera photophlethysmography
title_short A calibration method for smartphone camera photophlethysmography
title_sort calibration method for smartphone camera photophlethysmography
topic smartphone
photoplethysmography
calibration
pulse oximetry
hemoglobin
camera
url https://www.frontiersin.org/articles/10.3389/fdgth.2023.1301019/full
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