Tuesday, December 5, 2023

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Frontline Professionals of Healthcare Using a Smart Ring to Predict Possible COVID-19

Frontline healthcare staff is testing Oura Ring in San Francisco region. Researchers are hoping to use information collected by these rings to design an early COVID-19 diagnosis algorithm.

University of California is conducting the research at San Francisco Medical Centre along with the collaboration of Zuckerberg San Fransico General Hospital and Oura. Medical employee of both medical centres who is dealing with COVID-19 pandemic can take part in this research.

Other owners of Oura ring can be a part of this as well. Oura Ring has round 150,000 users all over the world.

“The purpose of this study is to collect information from a wearable sensor that may allow researchers to develop an algorithm that can predict onset of symptoms such as fever, cough, and fatigue, which can characterize COVID-19,” reads a statement on TemPredict online page of University of California San Francisco Medical Centre SEA Lab’s website.

Oura Ring is a well-known smart ring around the world with thousands of users. It has a sleep monitoring algorithm that automatically detects the sleep before analysing its quality from the user’s hear beat, pulse, temperature of body, rate of respiration, motion of body and more. Meanwhile, this ring also measures the physical activity automatically as well as any time that has been spent sitting idly.

Healthcare professionals will have to wear an Oura Ring during next three months while scientists and researchers will have access to the data gathered by this tiny device. This data will be compared against the symptoms shown by the participants during this time. More than 2000 medical professionals are being a part of this study from all around San Francisco.

The goal of this research is to detect any changes in human body as soon as it is infected by COVID-19. An algorithm for early diagnostic in order to isolate the patient in his earliest stage and treat them as soon as possible.

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