Smart watches are able to detect major heart disease

We can save lives by using software to convert normal devices that can be to personal monitors worner .
With the advent of tracking devices fitness wearable, we can now keep track of exercise and count the steps and everything related to those things, and in general we seem to know what we're doing in the gym, but we can say that wearable possibilities have not been harnessed yet fully.


According to a new study published in the Journal of the American Medical Association (JAMA), it is possible to conduct surveillance attack proactive life-saving through any smart clock capable of measuring the pulse of the heart rate and application Cardiogram for wearables operating system Android ware Android Wear, which has become a named Wear OS.

This study, entitled "Negative Detection of Atrial Fibrillation Using Smart Clocks Available commercially," was based on information on the health data provided by the Cardiogram application in conjunction with the University of California San Francisco (UCSF), which developed a deep neural network called DeepHeart capable of detecting atrial fibrillation , A condition responsible for 25 percent of all strokes, often left undiagnosed.

According to the study, such wearable devices are able to detect the most common abnormal heart rhythm up to 97 percent. Needless to say, such discoveries point to a bright future for the use of wearable devices in medical diagnosis and treatment, so that we can save lives through Use software to convert such regular devices to personal monitor screens.

Talking about the numbers, the study was based on data from 9750 users of the Cardiogram application that entered 139 million heart rate and pacemaker rates, with 129 million heart rate measurements used to train the neural network to obtain raw data from smart clocks and detect possible problems.

To investigate the accuracy of neural network measurements, 51 patients were tested at the University of California, San Francisco, where DeepHeart was able to distinguish between normal heart rhythm and atrial fibrillation at 97 percent accuracy.

Although the study focused primarily on patients with a known history of abnormal cardiac rhythms, it is actually the second major breakthrough breakthrough detected through DeepHeart. In February, another research document showed that it could be possible to detect Diabetes through the use of DeepHeart and smart watches.

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