First, pause and take a deep breath. When we breathe in, our lungs fill with air containing oxygen, which is distributed to our red blood cells for transportation throughout our bodies. To function, our bodies need a lot of oxygen, and healthy people have at least 95% oxygen saturation all the ti
The technique involves participants placing their finger over the camera and flash of a smartphone, which uses a deep-learning algorithm to decipher the blood oxygen levels. In testing, the team delivered a controlled mixture of nitrogen and oxygen to six subjects to artificially bring their blood oxygen levels down. 80% of the time, the smartphone correctly predicted whether the subject had low blood oxygen levels.
“This way you could have multiple measurements with your own device at either no cost or low cost,” said co-author Dr. Matthew Thompson, professor of family medicine at the UW School of Medicine. “In an ideal world, this information could be seamlessly transmitted to a doctor’s office.
“The camera is recording a video: Every time your heart beats, fresh blood flows through the part illuminated by the flash,” said senior author Edward Wang, who started this project as a UW doctoral student studying electrical and computer engineering and is now an assistant professor at UC San Diego’s Design Lab and the Department of Electrical and Computer Engineering.
The scientists used data from four of the participants to train a deep learning algorithm to pull out the blood oxygen levels. They used the remainder of the data to validate the method and then test it to see how well it performed on new subjects.
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