Health

Stanford and Fitbit work together to predict wearable infections

Researchers say the world is looking for ways to bring society back online after the coronavirus becomes socially isolated. A novel way To detect illness early. One way is to strap on a common everyday wearable.

Stanford medicine Announced on Tuesday The researcher is working on an algorithmic model for detecting whether a person is sick using data collected from wearables. It has partnered with Fitbit and other technology and academic partners and is currently looking for participants to help improve its diagnostic tools.

As a partner, Fitbit (this is Owns (Via Google) informs you that you can participate in the survey. It also gives researchers 1,000 smartwatches.

The idea is that smartwatches and other wearable sensors may be able to detect symptoms of a viral infection before they even notice. These symptoms include increased skin temperature and increased heart rate. They are the physical manifestations of the “off” sensations that make you feel sick rather than “clear.”

This is a period in which a sick person may have spread their infection without knowing that they are ill. Early detection is important To stop the spread of diseases like COVID-19.

“Smartwatches and other wearables make a lot of measurements per day, at least 250,000. This is such a powerful surveillance device,” says Michael Snyder, professor of genetics at Stanford University School of Medicine. He said in a press release. “My lab wants to use that data to see if we can identify who is sick as soon as possible before knowing who will be sick.”

Other research organizations, such as those conducting sensor testing, are attempting early detection Implanted subcutaneously Useful for detecting blood oxygen levels. Apple and Google Recently announced The two companies have acknowledged that it is a way for governments to assist in the early detection of coronaviruses through an app that can perform “contact tracking,” to identify who the infected person has contacted and to stop the spread.

However, the barriers to early detection may be a bit lower, as widely used devices like Fitbit incorporate the behavior of Stanford researchers.

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