tetano
Editor, Senior Moderator
Nat Biomed Eng
. 2020 Nov 18.
doi: 10.1038/s41551-020-00640-6. Online ahead of print.
Pre-symptomatic detection of COVID-19 from smartwatch data
Tejaswini Mishra[SUP] 1 [/SUP], Meng Wang[SUP] 1 [/SUP], Ahmed A Metwally[SUP] 1 [/SUP], Gireesh K Bogu[SUP] 1 [/SUP], Andrew W Brooks[SUP] 1 [/SUP], Amir Bahmani[SUP] 1 [/SUP], Arash Alavi[SUP] 1 [/SUP], Alessandra Celli[SUP] 1 [/SUP], Emily Higgs[SUP] 1 [/SUP], Orit Dagan-Rosenfeld[SUP] 1 [/SUP], Bethany Fay[SUP] 1 [/SUP], Susan Kirkpatrick[SUP] 1 [/SUP], Ryan Kellogg[SUP] 1 [/SUP], Michelle Gibson[SUP] 1 [/SUP], Tao Wang[SUP] 1 [/SUP], Erika M Hunting[SUP] 1 [/SUP], Petra Mamic[SUP] 1 [/SUP], Ariel B Ganz[SUP] 1 [/SUP], Benjamin Rolnik[SUP] 1 [/SUP], Xiao Li[SUP] 2 [/SUP], Michael P Snyder[SUP] 3 [/SUP]
Affiliations
Abstract
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.
. 2020 Nov 18.
doi: 10.1038/s41551-020-00640-6. Online ahead of print.
Pre-symptomatic detection of COVID-19 from smartwatch data
Tejaswini Mishra[SUP] 1 [/SUP], Meng Wang[SUP] 1 [/SUP], Ahmed A Metwally[SUP] 1 [/SUP], Gireesh K Bogu[SUP] 1 [/SUP], Andrew W Brooks[SUP] 1 [/SUP], Amir Bahmani[SUP] 1 [/SUP], Arash Alavi[SUP] 1 [/SUP], Alessandra Celli[SUP] 1 [/SUP], Emily Higgs[SUP] 1 [/SUP], Orit Dagan-Rosenfeld[SUP] 1 [/SUP], Bethany Fay[SUP] 1 [/SUP], Susan Kirkpatrick[SUP] 1 [/SUP], Ryan Kellogg[SUP] 1 [/SUP], Michelle Gibson[SUP] 1 [/SUP], Tao Wang[SUP] 1 [/SUP], Erika M Hunting[SUP] 1 [/SUP], Petra Mamic[SUP] 1 [/SUP], Ariel B Ganz[SUP] 1 [/SUP], Benjamin Rolnik[SUP] 1 [/SUP], Xiao Li[SUP] 2 [/SUP], Michael P Snyder[SUP] 3 [/SUP]
Affiliations
- PMID: 33208926
- DOI: 10.1038/s41551-020-00640-6
Abstract
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.