Wearable devices like a fertility tracker can help detect COVID-19 two days before symptoms appear, a new study has shown.
For their research, the scientists used an AVA fertility tracker that measures respiratory rate, heart rate, heart rate variability, wrist skin temperature and nighttime blood flow. The wristband is commercially available and FDA and European regulatory approved.
“When the pandemic started in March 2020, we quickly thought about how we could do it […] contribute to the knowledge gain and help to prevent and treat patients with COVID and help to avoid or better treat and better manage future pandemics,” explained David Conen, co-author of the study.
The wearable device used in the study was paired with a modified mobile app and the five health parameters were recorded along with any activities that might affect the body’s central nervous system, such as: B. Drinking alcohol and taking prescription or recreational drugs. as well as possible COVID-19 symptoms, researchers wrote in an article published in BMJ Open.
Of the 1,163 participants who participated in the study from March 2020 to April 2021, 127 tested positive for COVID-19 during that period. The bracelet recorded noticeable changes in all five physiological indicators from the different stages such as incubation, pre-symptomatic, symptomatic and recovery.
An algorithm the team developed was used to detect COVID-19 symptoms in 70% of participants who tested positive for the virus. It confirmed the presence of SARS-COV-2 in 73% of cases two days before symptoms appeared. The virus was confirmed with molecular and/or serological assays.
Similar results were also found in the remaining 30%, as the algorithm was able to accurately detect 68% of positive cases up to two days before symptoms appeared.
The researchers admitted that the original study was conducted with a small number of participants and the group lacked diversity in terms of ethnicity, age and geographic location.
To further test the effectiveness of wearable health devices and machine learning in COVID-19 diagnoses, a much larger study involving 20,000 participants is being conducted in the Netherlands.
“This isn’t just related to COVID,” Conen said. “It could also lead to preventative treatments in future illnesses and prevent significant complications.”
https://www.ibtimes.com.au/wearable-fertility-trackers-could-detect-covid-19-days-symptoms-appear-1835204?utm_source=Public&utm_medium=Feed&utm_campaign=Distribution Wearable fertility trackers could detect COVID-19 days before symptoms appear