Before validating the model on other participants, data from four earlier participants were used to train a deep learning (DL) algorithm that helped in measuring the blood oxygen saturation. This technology was continued to accurately predict the SpO2 levels of the six subjects whose blood oxygen levels were brought down by the research team using a controlled mixture of nitrogen and oxygen. 


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