Basic Approach to Estimation of Blood Oxygen Saturation Using an RGB Color Camera without Infrared Light

Makoto Yoshizawa, Norihiro Sugita, Akira Tanaka, Atsushi Togashi, Isao Kaji, Tomoyuki Yambe

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A method for estimating SPO2 using only an ordinary RGB color camera without using infrared light required by general pulse oximeters has been developed. In the method, first, three video pulse waves based on RGB video signals obtained by photographing the palm with a white LED light source were acquired as accurately as possible, and then their AC and DC components were obtained. SPO2 was estimated from the interrelationship among the three types of ratios. In the experiment, healthy 91 participants were made to hold their breath for 20s to create changes in SPO2. True values of SPO2 obtained from the fingertip photoelectric pulse wave meter was compared with estimated values from the palm video image. The results performed from five trials of cross-validation demonstrated that the multiple regression model was superior to the optimization method for absorption coefficients.

Original languageEnglish
Title of host publicationLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages68-71
Number of pages4
ISBN (Electronic)9781665419048
DOIs
Publication statusPublished - 2022
Event4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022 - Osaka, Japan
Duration: 2022 Mar 72022 Mar 9

Publication series

NameLifeTech 2022 - 2022 IEEE 4th Global Conference on Life Sciences and Technologies

Conference

Conference4th IEEE Global Conference on Life Sciences and Technologies, LifeTech 2022
Country/TerritoryJapan
CityOsaka
Period22/3/722/3/9

Keywords

  • blood oxygen saturation
  • non-contact estimation
  • optimization
  • SPO2
  • video plethysmogram

ASJC Scopus subject areas

  • Agricultural and Biological Sciences (miscellaneous)
  • Artificial Intelligence
  • Computer Science Applications
  • Computer Vision and Pattern Recognition
  • Biomedical Engineering
  • Instrumentation
  • Education

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