A study has shown that Apple Watches can identify COVID-19 up to seven days before people are diagnosed with the disease using a nasal swab.
A study has shown that Apple Clocks can identify COVID-19 cases earlier than traditional diagnostic methods and can also be used to improve disease management. Devices can measure “subtle changes” in a user’s heart rate variability (HRV) that may be symptomatic of the condition. The results of the study mean that wearable devices such as the Apple Watch could have a role to play in fighting COVID-19 in the future.
The Apple Watch, along with smartwatches and wrist fitness trackers, has long been considered to have the potential to revolutionize the way people monitor and manage their health. While, in the grand scheme of things, these devices are still a relatively new category, the Apple Watch already has features like heart rate notifications, an ECG app, and fall detection, all of which help users have Control your health in a way like never before. Having the hardware to track such things built into wearable devices inevitably makes it possible to adapt them to track usage and identify other health conditions.
This is what Mount Sinai Warrior Watch Study was created to do, in part, take advantage of the technologies built into the Apple Watch to understand the psychological well-being of its healthcare workers during the pandemic and identify COVID-19 cases among them. Mount Sinai employees age 18 and older who used iPhones and had or were willing to use an Apple Watch were recruited and asked to use a custom study app through which they were surveyed daily. questions and certain health metrics were monitored. . Several hundred Mount Sinai healthcare workers were enrolled in the study, which took place between April and September 2020.
Results and possibilities of the Apple Watch COVID-19 study
In addition to HRV, user symptoms such as fever or chills, tiredness or weakness, body aches, dry cough, sneezing, runny nose, diarrhea, sore throat, headaches, shortness of breath, loss of smell, were tracked or taste and itchy eyes. The study found that it was possible to identify the occurrence of COVID-19 among participants up to seven days before they were diagnosed using a nasal swab. In addition, he found that HRV patterns began to normalize between 7 and 14 days after diagnosis.
Study co-author Zahi Fayad explained: “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 people to be kept separate.” Co-author Robert P. Hirten, meanwhile, said the study pointed to the future of digital health and shows how these technologies can be used to better address health needs. “Developing a way to identify people who might be sick even before they know they are infected would be a breakthrough in managing COVID-19,” shepherds said.
Mount Sinai intends to use such platforms to improve the health of its patients. A follow-up study will explore biometrics, including HRV, sleep disruption, and physical activity to understand the psychological effects that healthcare workers are at risk to as a result of the pandemic.
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