The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review

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The performance of wearable sensors in the detection of SARS-CoV-2 infection: a systematic review

Containing the COVID-19 pandemic requires rapidly identifying infected individuals.

Subtle changes in physiological parameters (such as heart rate, respiratory rate,

and skin temperature), discernible by wearable devices, could act as early digital

biomarkers of infections. Our primary objective was to assess the performance of statistical

and algorithmic models using data from wearable devices to detect deviations compatible

with a SARS-CoV-2 infection. We searched MEDLINE, Embase, Web of Science, the Cochrane

Central Register of Controlled Trials (known as CENTRAL), International Clinical Trials

Registry Platform, and ClinicalTrials.gov on July 27, 2021 for publications, preprints,

and study protocols describing the use of wearable devices to identify a SARS-CoV-2

infection.

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