CL-SPO2Net: Contrastive Learning Spatiotemporal Attention Network for Non-Contact Video-Based SpO2 Estimation

CL-SPO2Net: Contrastive Learning Spatiotemporal Attention Network for Non-Contact Video-Based SpO2 Estimation

Video-based peripheral oxygen saturation (SpO2) estimation, utilizing solely RGB cameras, offers a non-contact approach to measuring blood oxygen levels. Previous studies set a stable and unchanging environment as the premise for non-contact blood oxygen estimation. Additionally, they utilized a sma...

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Bibliographic Details
Main Authors:	Jiahe Peng, Weihua Su, Haiyong Chen, Jingsheng Sun, Zandong Tian
Format:	Article
Language:	English
Published:	MDPI AG 2024-01-01
Series:	Bioengineering
Subjects:	contrastive learning peripheral oxygen saturation (SpO2) computer vision deep learning remote photoplethysmography (rPPG) attention mechanism
Online Access:	https://www.mdpi.com/2306-5354/11/2/113

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