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Smartwatches can determine if someone has COVID-19 faster than a standard nasal swab test
Studies show smartwatches are better than standard tests at determining if someone has coronavirus
People with COVID-19 have lower heart rate variability, which means the time between their heartbeats barely changes. Keep in mind that increasing heart rate variability has nothing to do with an elevated heart rate. High heart rate variability is a sign of an active nervous system belonging to a person more resilient to stress. So even though a high heart rate is not good for a person’s health, high heart rate variability could be a good sign.
While running a test, 300 Mt. Sinai workers wore an Apple Watch for the five months between April 29 and September 29. Like Mt. Hirten of Sinai points out: “Right now we rely on people saying they are sick and not feeling well, but wearing an Apple Watch does not require any active user intervention and can identify people who might be asymptomatic. It is a way to improve the control of infectious diseases. “
Another study conducted by Stanford was based on the theory that 81% of those who tested positive for the coronavirus had changes in their resting heart rate up to nine and a half days before the first symptoms appeared. An extremely high heart rate was a sign that symptoms of COVID-19 had just started. Stanford researchers used the data from the smart watch to identify 67% of COVID-19 cases four to seven days before the first symptoms appeared. The team also created an alarm to notify users that their heart rate has been elevated for an extended period.
Michael Snyder, a professor at Stanford University, who led the study, said: “We have set the alarm with some sensitivity so that it goes off every two months or so. Regular fluctuations will not go off. the alarm – only significant and lasting changes will. ” Snyder also said that “it’s a big deal because it alerts people not to go out and meet people.” Snyder’s own alarm went off recently, forcing him to cancel an in-person meeting in case he was contagious. The Stanford study looked at 32 people who tested positive for the virus out of a total of 5,000 people who took part in the study.
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