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We propose a machine learning method to extract blood oxygen from facial videos. This method was published by us in The Visual Computer

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Si-tong-416/my_first_code_to_pre_SpO2

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SpO2-Prediction

SpO2 prediction from ROI in the face. We constructed eighteen features by extracting three color channel pulse signals from three designated areas in facial videos, and predicted blood oxygen through regression analysis. Paper Title: Non-contact SpO2 Monitoring via Multi-Channel Pulse Signals from Facial Videos using Machine Learning. The relevant paper was published in: The Visual Computer.

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We propose a machine learning method to extract blood oxygen from facial videos. This method was published by us in The Visual Computer

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