Camera Measurement of Blood Oxygen Saturation

Journal: arXiv
Published Date:

Abstract

Blood oxygen saturation (SpO2) is a crucial vital sign routinely monitored in medical settings. Traditional methods require dedicated contact sensors, limiting accessibility and comfort. This study presents a deep learning framework for contactless SpO2 measurement using an off-the-shelf camera, addressing challenges related to lighting variations and skin tone diversity. We conducted two large-scale studies with diverse participants and evaluated our method against traditional signal processing approaches in intra- and inter-dataset scenarios. Our approach demonstrated consistent accuracy across demographic groups, highlighting the feasibility of camera-based SpO2 monitoring as a scalable and non-invasive tool for remote health assessment.

Authors

  • Jiankai Tang
  • Xin Liu
  • Daniel McDuff
  • Zhang Jiang
  • Hongming Hu
  • Luxi Zhou
  • Nodoka Nagao
  • Haruta Suzuki
  • Yuki Nagahama
  • Wei Li
  • Linhong Ji
  • Yuanchun Shi
  • Izumi Nishidate
  • Yuntao Wang