In a research, smartwatches were able to detect viral infection before symptoms appeared.


In a research, smartwatches were able to detect viral infection before symptoms appeared.

Your smartwatch may one day be able to predict whether or not you’ll get sick from a virus and how sick you’ll be — even before symptoms appear.

Researchers demonstrated that a wearable device, such as a Fitbit or Apple Watch, could distinguish between individuals who had the H1N1 flu and those who had a typical cold in a small trial.

According to senior researcher Jessilyn Dunn, an assistant professor of biomedical engineering at Duke University in Durham, N.C., “one of our aims was to be able to detect that infection before a person has symptoms, because they may be spreading germs without even knowing they’re sick.”

According to her, the wristband detects biological signals such as resting heart rate, heart rate variability, and skin temperature.

Dunn explained, “The equipment identifies disease and that your body is battling something.” “We’re still attempting to improve the differentiation between different sorts of infections,” says the researcher.

Patients can benefit from having this information because it will prompt them to call their doctor, she said. In a moment of crisis, such as the coronavirus epidemic, this can aid in planning how to effectively use limited resources.

“For COVID-19, one of the ways we think about it is. We could do a better job of triaging and allocating resources if we could forecast who will get sick, when they will get sick, how sick they will get sick, and what kind of care resources they would need. As a result, it provides us with a window into the future,” she explained.

Dunn envisions a future in which everyone wears a smartwatch.

“In the future, when everyone has a smartwatch, this would just be something that happens in the background,” says the author. It would be a passive monitoring system, and it would tell us who is likely to get sick and how sick they will get,” she explained.

Dunn’s team delivered 31 volunteers a nasal dosage of H1N1 flu and 18 a common cold virus for the study. The sensor wristband was worn for four days before and five days after the injection.

The researchers were able to tell the difference between people who were sick and those who were not infected with up to 92 percent accuracy for H1N1 and 88 percent for the cold virus using only data from wearable sensors.

The data could also make a distinction… Article Summary from Nokia News


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