Pre-symptomatic detection of COVID-19 from smartwatch data
Consumer wearable devices that continuously measure vital signs have been used to monitor the onset of infectious disease. Here, we show that data from consumer smartwatches can be used for the pre-symptomatic detection of coronavirus disease 2019 (COVID-19). We analysed physiological and activity d...
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| Published in: | Nature biomedical engineering Vol. 4; no. 12; pp. 1208 - 1220 |
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| Main Authors: | , , , , , , , , , , , , , , , , , , , , |
| Format: | Journal Article |
| Language: | English |
| Published: |
London
Nature Publishing Group UK
01-12-2020
Nature Publishing Group |
| Subjects: | |
| Online Access: | Get full text |
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| Summary: | Consumer wearable devices that continuously measure vital signs have been used to monitor the onset of infectious disease. Here, we show that data from consumer smartwatches can be used for the pre-symptomatic detection of coronavirus disease 2019 (COVID-19). We analysed physiological and activity data from 32 individuals infected with COVID-19, identified from a cohort of nearly 5,300 participants, and found that 26 of them (81%) had alterations in their heart rate, number of daily steps or time asleep. Of the 25 cases of COVID-19 with detected physiological alterations for which we had symptom information, 22 were detected before (or at) symptom onset, with four cases detected at least nine days earlier. Using retrospective smartwatch data, we show that 63% of the COVID-19 cases could have been detected before symptom onset in real time via a two-tiered warning system based on the occurrence of extreme elevations in resting heart rate relative to the individual baseline. Our findings suggest that activity tracking and health monitoring via consumer wearable devices may be used for the large-scale, real-time detection of respiratory infections, often pre-symptomatically.
Analysis of physiological and activity data from consumer smartwatches enables real-time detection, often before symptom onset, of COVID-19, as well as other respiratory illnesses and stress inducers. |
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| Bibliography: | ObjectType-Article-1 SourceType-Scholarly Journals-1 ObjectType-Feature-2 content type line 23 M.P.S., T.M., X.L. and A.B. conceived of and designed the study. T.M., X.L., A.B. and M.P.S. supervised the project. T.M. performed the project administration. A.C., E.H., E.M.H., O.D.-R., T.M., B.F., S.K., B.R. and M.P.S. performed the Institutional Review Board review, recruited participants and coordinated the study. T.M., A.W.B., A.C., E.H., O.D.-R., B.F., S.K., M.G. and R.K. collected the survey data. A.A.M., A.B. and A.A. collected and processed the wearable device data. A.B., A.A., A.A.M., A.W.B. and T.M. coordinated and submitted the data. A.B. and A.A. developed the software (the MyPHD app). G.K.B., M.W. and X.L. developed the algorithm. T.M., M.W., A.A.M., G.K.B.,A.W.B.and X.L. analysed the data. T.M., M.W., A.A.M., G.K.B., A.W.B., X.L. and M.P.S. prepared the manuscript. All co-authors reviewed and edited the manuscript. A.B.G., A.R., A.B., X.L. and M.P.S. sourced the funding. Author contributions |
| ISSN: | 2157-846X 2157-846X |
| DOI: | 10.1038/s41551-020-00640-6 |