10032 Apple Watch reveal abnormal heart rhythm with 97% accuracy (2 photos)

Apple Watch reveal abnormal heart rhythm with 97% accuracy (2 photos)



Apple Watch выявляют нарушение сердечного ритма с 97% точностью (2 фото)

Application developers Cardiogram for smart watches Apple Watch together with the employees of the University of California (San Francisco, USA) carried out painstaking research, which has identified the possibility of diagnosing problems with heart rhythms with a probability of up to 97 percent. Efficiency is achieved when it is installed on Apple Watch apps with an algorithm based on artificial intelligence designed to track (and analyze) a pulse of the user.

The experiment involved 6158. Heart rate in the vast number of subjects was in the normal range, however, the two hundred participants were diagnosed with atrial fibrillation, causing problems with the heartbeat. Thus, the artificial intelligence based on the received data from the Apple Watch allows you to diagnose problems with the heartbeat, which in turn helps to timely take measures to eliminate these deviations.

Apple Watch выявляют нарушение сердечного ритма с 97% точностью (2 фото)

Application developers and employees of the University became interested in the possibility of using neural networks for early diagnosis of pre-stroke conditions that can be provoked by disturbed cardiac rhythm (some say up to a quarter of strokes occur due to problems with the heart rhythm). Researchers from the University led by Brandon Bellingeri and staff Cardiogram tested created a neural network using 51 version restore normal cardiac rhythm and found the diagnostic ability of the abnormal condition of the heart is almost 97 percent.

Now the research is still in its infancy, but the results are encouraging in the successful diagnosis and prevention of stroke with the help of smart watches. After all, according to researcher at the University of Brandon Bellinger, to prevent two out of every three strokes will be using simple and low-cost drugs. Especially in recent time, increasing numbers of older people who buy wearable electronic gadgets. This group is subject strokes the most and built into the device, the algorithm can not save a single life.

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Source: TechCrunch

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