Download rainmeter themes for windows 10
Post navigation.Rainmeter Skins
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60+ Best RainMeter Skins & Themes in 2020 (With Download Links)
+ Rainmeter Themes [Windows 10/8/7]
Over 698 Skins for Rainmeter
60+ Best RainMeter Skins & Themes in (With Download Links)
Apple Watch can diagnose COVID-19 a week before PCR test, study shows
Wearable devices such as the Apple Watch can effectively predict COVID-19 coronavirus up to a week before it can be detected by PCR using a smear from the cavity, according to a new Warrior Watch Study conducted by Mount Sinai Hospital Network in New York. nose.
The study, which ran from April to September, involved “several hundred health professionals” from Mount Sinai. Participants were required to install an Apple Watch and iPhone app that was used to monitor and collect health data. Participants also completed a daily questionnaire, which included data on their potential symptoms of COVID-19 and other factors, including stress.
The main focus of the researchers was heart rate variability (HRV), a key indicator of stress on the nervous system. This data has been combined with reported symptoms associated with COVID-19 disease such as fever, pain, dry cough, and loss of taste and smell.
The Warrior Watch Study not only predicted the presence of the disease a week before the tests confirmed the diagnosis, but also showed that the participants’ HRV readings returned to normal fairly quickly after diagnosis, returning to normal approximately one to two weeks after the tests were positive.
The authors of the study note that this method can help predict the results and isolate people at risk in a timely manner. Most importantly, diagnostics are performed remotely, allowing caregivers to anticipate or detect a COVID-19 case without even having to perform a physical exam or collect a nasal swab. It can help to take precautions in high-risk situations where the likelihood of illness is high.
According to TechCrunch, the study will be expanded in the future to examine how other wearable devices might reveal the impact of COVID-19 on the health of healthcare workers, including how factors such as sleep and physical activity may be associated with illness.