Smartwatches can determine if someone has COVID-19 faster than a standard nose swab test
Studies show that smartwatches are better than standard tests to determine if someone has coronavirus
Individuals with COVID-19 have less heart rate variability, which means that the time between heartbeats hardly changes. Those without COVID-19 experience greater variations in time between heartbeats. Remember that increasing heart rate variability has nothing to do with a high heart rate. High heart rate variability is a sign of an active nervous system belonging to a person who is more resistant to stress. So while a high heart rate is not good for a person’s health, high heart rate variability can be a good sign.
During a test run, 300 Mt. Sinai workers used an Apple Watch during the five months between April 29 and September 29. As Mt. Hirten from Sinai points out: “At the moment, we have people saying they are sick and not feeling well, but using an Apple Watch does not require any active user input and can identify people who may be asymptomatic. It is a way of improve controlling infectious diseases. “
A different study conducted by Stanford was based on the theory that 81% of those who tested positive for coronavirus had changes in their resting heartbeat up to nine and a half days before the onset of symptoms. An extremely high heart rate was a sign that the symptoms of COVID-19 had just started. Stanford researchers used smartwatch data to identify 67% of COVID-19 cases four to seven days before the first symptoms appeared. The team also created an alarm to inform users that their heart rate has increased over a long period of time.
Professor Michael Snyder of Stanford University, who led the study, said: “We adjust the alarm with a certain sensitivity so that it sounds every two months or more. Regular fluctuations do not trigger the alarm – only significant and sustained changes do.” Snyder also stated that “it is a big deal because it is warning people not to go out and meet other people.” Snyder’s own alarm went off recently, forcing him to cancel a personal meeting if he was infected. The Stanford study examined 32 people who tested positive for the virus, out of a total of 5,000 people who participated in the study.