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Cameras and machine learning take pulse of remote patients

6th April 2021 11:23 am 6th April 2021 11:23 am Telemedicine could be improved with a method that uses the camera on an electronic device to take pulse and respiration signals from a real-time video of a patient’s face.  A UW-led team has developed a method that uses the camera on a person’s smartphone or computer to take their pulse and breathing rate from a real-time video of their face (Image: Cristina Zaragoza/Unsplash) The advance by a University of Washington-led team was presented in December, 2020 at the Neural Information Processing Systems conference. The team is now proposing a better method to measure these physiological signals with a system less likely to be hindered by different cameras, lighting conditions or facial features. The researchers will present these findings April 8 at theACM Conference on Health, Inference, and Learning.

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