Posted 06/22/2022 18:11
(Credit: Reproduction / Social Media)
A smart bracelet, intended to indicate the fertility period of women, was able to detect Covid 19 before the symptoms appeared in the person. The study was published in the journal Scientific. BMJ Open AVA bracelets were found to be able to diagnose the disease in 68% of cases, and the person showed symptoms two days earlier.
For the tests, 1,163 people under the age of 51 were studied in the European country of Liechtenstein, which was followed from April 2020 to March 2021. People had to wear smart bands overnight, which saved user data every 10 seconds.
The devices were synchronized with the cell phone application, in which participants recorded any activities that could affect the outcome, such as alcohol use, prescription drugs or recreational drugs. In addition to activities that may alter outcomes, symptoms of possible Covid 19 infections, such as fever, were also monitored.
The AVA bracelet uses three sensors to measure the quality of sleep, as well as the frequency and changes of breath, heart and temperature, such as nine biomarkers. All study participants underwent regular rapid antigen tests, and underwent symptomatic PCR.
During approximately one year of research, a total of 1.5 million hours of physical data was collected, and 127 corona viruses were detected, of which 66 (or 52%) used the device for 29 consecutive days during symptoms. , Being included in the analysis. .
The researchers recorded significant changes in the body during the incubation period (before symptoms) of the virus, and during and after recovery, when compared to non-infected individuals.
Comparing the changes recorded by smartwatches, it was possible to identify 68% of positive cases two days before the onset of symptoms.
According to the researchers, the initial diagnosis can be incorporated into the devices, and helps reduce transmission to infected users. The research has now reached another stage, which is being studied in a group of 20,000 people in the Netherlands and results are expected in the second half of 2022.
* Intern under the supervision of Pedro Gregory