Pairing wrist-worn health devices with machine learning, researchers in Canada and Europe were able to detect COVID-19 prior to the onset of symptoms. More than 1,100 participants wore a fertility tracker that monitors respiration, heart rate, heart-rate variability, skin temperature, and blood flow during sleep. The tracker was synchronized to a mobile application that recorded activity that might affect the central nervous system, as well as potential COVID-19 symptoms.
More than 100 participants tested positive for the virus, and the tracker detected changes in all physiological markers during infection.
From McMaster University (Canada)
View Full Article
Abstracts Copyright © 2021 SmithBucklin, Washington, DC, USA
No entries found