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Contactless SpO2 Monitoring using Explainable Convolutional Neural Networks from Smartphone Videos
  • Bo Li,
  • Rohit Sharma
Bo Li
University of Kentucky

Corresponding Author:asubr6760@gmail.com

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Rohit Sharma
University of Kentucky


The estimation and monitoring of SpO2 are crucial for assessing lung function and treating chronic pulmonary diseases. The COVID-19 pandemic has highlighted the importance of early detection of changes in SpO2, particularly in asymptomatic patients with clinical deterioration. However, conventional SpO2 measurement methods rely on contact-based sensing, presenting the risk of cross-contamination and complications in patients with impaired limb perfusion. Additionally, pulse oximeters may not be available in marginalized communities and undeveloped countries.