Smart Ring Maker OURA and West Virginia University (WVU) Rockefeller Neuroscience Research Institute (RNI) and others are working to prevent the spread of new colonavirus infections (COVID-19) in medical institutions. Announced. By combining smart ring measured values and AI analysis, it has become possible to predict 24 hours before the onset. The OURA ring can measure body temperature (change in body surface temperature), heart rate, and sleep level, and also measure stress from those values. The program developed by RNI integrates physiologically, psychological, cognitive, and behavioral biorhythms from autonomic nervous system, fatigue, and rhythm of the day, based on these measured values. It is said that infection can be predicted before the individual's condition is comprehensively judged and that symptoms such as coughing and fever develop. For the past three weeks, RNI has been in partnership with West Virginia, New York City, Philadelphia, Nashville, and other hospitals nationwide to check more than 1,000 medical professionals. In addition, it is expected to be 24 hours ago, but it is said that this can be predicted more than 3 days ago. The same approach is also worked at the University of California at San Francisco (UCSF).
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If the infection can be predicted before the onset of the symptoms, it can reduce the risk of infection to other people (patients and families, etc.), and can be expected to be effective in preventing the spread of infection.
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