Health
Studies have found that wrist-worn trackers can detect Covid before symptoms | Coronavirus
According to researchers, a health tracker worn on the wrist can be used to detect Covid 19 days before symptoms appear.
More and more people around the world are using this device to monitor changes in skin temperature, heart and respiratory rate. New studies now show that this data can be combined with artificial intelligence (AI) to diagnose Covid-19 even before the first signs of the disease appear.
“Wearable sensor technology can enable Covid-19 detection during the presymptomatic period,” the researchers concluded.The survey results are Published in the journal BMJ Open..
This discovery may allow health trackers to adapt to AI and detect Covid-19 early, simply by finding basic physiological changes. This can help provide an early warning system for users that they may be infected, thereby helping to prevent the spread of the disease more widely. There is sex.
Researcher at DrRisch Medical Laboratory Liechtenstein, University of Basel, Switzerland, McMaster University, Canada, and Imperial College London, have tested the Ava bracelet, a fertility tracker that can be purchased online to track the best time for people to become pregnant. Monitor breathing rate, heart rate, heart rate variability, wrist skin temperature, and blood flow.
In this study, 1,163 people under the age of 51 in Liechtenstein were followed from the onset of the pandemic to April 2021. They were asked to wear an Ava bracelet at night. The device costs £ 249 and stores data every 10 seconds. .. People must sleep for at least 4 hours for it to work.
The bracelet was synced with the smartphone app to record activities that could affect results, such as alcohol, prescription drugs, and recreational drugs. They also recorded possible Covid-19 symptoms such as fever.
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All participants in the study underwent regular, rapid antibody testing for Covid-19, while those with symptoms also underwent a PCR swab test.
A total of 1.5 million hours of physiological data were recorded, with 127 confirmed Covid-19, of which 66 (52%) wore the device for at least 29 consecutive days and were included in the analysis.
This study found that there were significant changes in the body during the incubation period of the infection, before the onset of symptoms, when the symptoms appeared, and during recovery compared to non-infection.
Overall, the dual combination of health trackers and computer algorithms correctly identified 68% of Covid-19-positive people two days before symptoms appeared. The team noted that the study was limited, including that not all Covid cases were captured.
While the PCR swab test remains the gold standard for confirming Covid-19, the findings show that “wearable, informed machine learning algorithms are promising for presymptomatic or asymptomatic detection of Covid-19. It suggests that it may be useful as a tool, “says the researchers.
They added: “Wearable sensor technology is an easy-to-use, low-cost way to enable individuals to track their health and well-being during a pandemic.
“Our research shows that these devices in conjunction with artificial intelligence have the potential to push the boundaries of personalized medicine, detect illnesses before (symptoms occur), and reduce viral infections in the community. Is shown. “
Typical Covid-19 symptoms may appear days after infection. In the meantime, the infected person can unknowingly spread the virus.
The algorithm is currently being tested by a much larger group of 20,000 people across the Netherlands and is expected to produce results later this year.
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Sources 2/ https://www.theguardian.com/world/2022/jun/21/wrist-worn-trackers-can-detect-covid-before-symptoms-study-finds The mention sources can contact us to remove/changing this article |
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