Heart monitoring devices are the latest method for early detection of corona infection … A study demonstrates

The respiratory virus Coronavirus has so far infected more than 90 million people worldwide, with more than 22.6 million in the United States alone, and the number of cases continues to rise.

Diagnosis of corona infection is mainly using laboratory tests, which are often not done until after symptoms appear, however, the virus is susceptible to infection several days before symptoms appear and the diagnosis is made, which enhances its transmission across people.

Wearable devices

Using Resting Heart Rate to Predict COVID-19

A recent study, appearing as a first print on the site medRxiv *, On the possibility of early prediction of corona infection, using data on resting heart rate in the pre-symptomatic period, through data collected from 25 patients with Corona, 11 other patients, and 70 healthy individuals.

This study is the first to examine the predictability of Corona, while allowing users to provide feedback on its performance, and this can be used in real time to allow early detection of the Corona virus on a large scale.

Currently, it is estimated that the virus may start 5-6 days before the onset of symptoms and continue within the next 15-17 days, in the vast majority of cases, and this long period of spread without symptoms, which we have not seen with the previous SARS virus, makes it difficult to contain The epidemic and make the development of early detection methods an urgent issue.

Now wearable devices that track vital data can be very useful in detecting the Coronavirus, as these devices contain sensors that capture data on heart rate and steps taken, which can be useful in detecting and monitoring viral infections over time or even detecting the onset of Infection.

These applications are based on statistical methods, however, environmental factors such as temperature, altitude and other conditions that may influence physiological variables must be taken into account.

Researchers collected data on the heart rate and steps of the wearable devices worn by all 106 individuals from February to June 2020, and their resting heart rate was decoded. (RHR) For the first time, heart rate, steps and total heartbeat data were calculated for one hour.

The model discovered that the resting heart rate signal was abnormal in 14 cases of the study sample, as they had Corona infection before symptoms appeared, in addition to that 9 individuals suffered from symptomatic infection.

The researchers suggest that wearable sensor data could help predict RV COVID-19 Early in the course of infection.


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