Along with time, Apple Watch can also tell you about Covid-19 symptoms

Along with time, Apple Watch can also tell you about Covid-19 symptoms

According to a report, device may help detect onset of the disease early, at least seven days prior to the individual getting diagnosed with the infection.

IANSUpdated: Wednesday, February 10, 2021, 09:25 AM IST
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It seems the Apple Watch that you wear can help detect even Covid-19 as researchers have found that the device can identify such cases earlier than traditional diagnostic methods and can help track and improve management of the disease.

The study by researchers at Mount Sinai hospital in the US found that subtle changes in a participant's heart rate variability (HRV) measured by an Apple Watch were able to signal the onset of Covid-19 up to seven days before the individual was diagnosed with the infection via nasal swab, and also to identify those who have symptoms.

"This study highlights the future of digital health," said the study's corresponding author Robert Hirten, Assistant Professor at the Icahn School of Medicine at Mount Sinai.

The researchers enrolled several hundred health care workers throughout the Mount Sinai Health System in an ongoing digital study between April and September 2020.

The participants wore Apple Watches and answered daily questions through a customised app.

Changes in their HRV – a measure of nervous system function detected by the wearable device – were used to identify and predict whether the workers were infected with Covid-19 or had symptoms.

Other daily symptoms that were collected included fever or chills, tiredness or weakness, body aches, dry cough, sneezing, runny nose, diarrhea, sore throat, headache, shortness of breath, loss of smell or taste, and itchy eyes.

Additionally, the researchers found that 7 to 14 days after diagnosis with Covid-19, the HRV pattern began to normalise and was no longer statistically different from the patterns of those who were not infected, according to the findings published in the Journal of Medical Internet Research.

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