MedCity News November 1, 2020
The virtual study, which included wearable data form more than 30,500 participants, found that changes in sleep, activity and heart rate levels, along with self-reported symptom data, could be used to identify potential cases of Covid-19.
Could wearables be used to detect potential Covid-19 cases? A group of researchers at the Scripps Research Translational Institute found that changes in sleep, activity levels and heart rate, paired with symptom data, could be used to identify Covid-19 cases. Their results were published in Nature Magazine on Thursday.
The idea behind the study was to provide a more effective way to detect potential cases of Covid-19 than the mix of temperature screenings and symptom checklists that many businesses and schools currently use....
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