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arXiv · 2503.01699

Camera Measurement of Blood Oxygen Saturation

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
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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.

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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. 2025-03-03. Camera Measurement of Blood Oxygen Saturation. https://arxiv.org/abs/2503.01699

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