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Home / News / Science News / Smartwatches can catch COVID-19 a week before symptoms?
  • Science

    Smartwatches can catch COVID-19 a week before symptoms?

    Chandraveer Mathur
    Written by
    Chandraveer Mathur
    Mail
    Last updated on Jan 24, 2021, 03:29 pm
    Smartwatches can catch COVID-19 a week before symptoms?
  • A study published by researchers from Mount Sinai in New York found the Apple Watch is capable of detecting COVID-19 in the wearer up to a week prior to clinical diagnosis.

    It involves measurement and monitoring of heart rate variability (HRV) using a companion app. The study's corresponding author Robert P Hirten has previously used HRV to predict flare-ups in inflammatory bowel disease patients.

  • In this article
    Dr. Hirten on using wearables for early diagnosis Researchers explain how wearables can be integral to medical prognosis Research findings summarily reaffirm wearables' significance in medical diagnosis Co-author Zahi Fayad on the significance of this study Independent global incidents concur with Mount Sinai study findings Smartwatch makers fail to capitalize on the pathbreaking study
  • Quote

    Dr. Hirten on using wearables for early diagnosis

  • "Developing a way to identify people who might be sick even before they know they are infected would really be a breakthrough in the management of COVID-19. One of the challenging things about COVID-19 is that many people are asymptomatic, but are still contagious."

  • Non-invasive

    Researchers explain how wearables can be integral to medical prognosis

    Researchers explain how wearables can be integral to medical prognosis
  • Smartwatches deliver data in real-time with minimal hassle, compared to a conventional PCR nasal swab which can cause discomfort. The latter also takes longer and puts more individuals involved with the testing process at risk.

    The study titled Warrior Watch followed a set of 297 frontline healthcare professionals between April 29 and September 29 using Apple Watches, monitored through the Warrior Watch Study app.

  • Undeniable evidence

    Research findings summarily reaffirm wearables' significance in medical diagnosis

    Research findings summarily reaffirm wearables' significance in medical diagnosis
  • The Mount Sinai study published in November showed that changes in the wearer's autonomic nervous system function, characterized by HRV, are associated with diagnosis of COVID-19 by nasal PCR up to seven days after HRV anomalies are detected.

    Researchers also discovered that wearers' HRV pattern would normalize, and become indistinguishable from that of a healthy person, between one and two weeks after diagnosis.

  • Quote

    Co-author Zahi Fayad on the significance of this study

  • "This technology allows us not only to track and predict health outcomes, but also to intervene in a timely and remote manner, which is essential during a pandemic that requires social distancing."

  • Crucial role

    Independent global incidents concur with Mount Sinai study findings

    Independent global incidents concur with Mount Sinai study findings
  • In fact, the PGA tour partnership with Whoop health trackers might have helped player Nick Watney realize he was positive.

    A similar study from Stanford University found wearers of other fitness trackers from Garmin and FitBit exhibited anomalies in their resting heart rate up to nine days prior to clinical diagnosis. This study has an 81-percent accuracy rate for early detection of COVID-19.

  • Chasing profits

    Smartwatch makers fail to capitalize on the pathbreaking study

    Smartwatch makers fail to capitalize on the pathbreaking study
  • Notably, Apple didn't participate in or fund the study, but is aware of its smartwatch's capabilities. CEO Tim Cook in September touted its role in the Mount Sinai study.

    It is disappointing to see large corporations being aware of the potential their products have and not stepping forward in these critical times. Companies should proactively update software for products to utilize path-breaking research findings.

  • Apple
  • Fitbit
  • Tim Cook
  • Stanford University
  • Apple Watch 3
  •  
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