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techkenyot.com July 18, 2018


Apple Watch Can Detect Hypertension And Sleep Apnea

14 November 2017, 05:18 | Casey Mitchell

Apple Watch Can Detect Hypertension And Sleep Apnea

Cardiogram is an app that detects heart rate and alerts the patient of abnormalities which is meant to predict and prevent heart disease sleep apnea and high blood pressure

A study from the University of California San Francisco and Cardiogram has been published, and the findings suggest that the Apple Watch might be an excellent tool for predicting hypertension and sleep apnea.

The Apple watch used in the experiments was able to detect abnormal heart rhythm with an accuracy of 97 percent. This new study shows the Watch can detect sleep apnea with a 90 percent accuracy and hypertension with an 82 percent accuracy.

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Cardiogram and UCSF's study on heart health is the third major study of deep learning in medicine, following Google Brain's results on diabetic eye disease in December of 2016 and a Stanford study on skin cancer this January.

According to the American Sleep Apnea Association, approximately 22 million USA citizens suffer from sleep apnea. Meanwhile according to the American Sleep Apnea Association 80% of United States adults are considered to have moderate and severe cases of undiagnosed sleep apnea. Current methods for diagnosing sleep apnea are much more involved than simply wearing an Apple Watch while you sleep, requiring hoards of sensors and leads to be attached to the body during sleep.

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Similarly according to the Centers for Disease Control (CDC) more than 75 million adults in the U.S. suffer from high blood pressure (hypertension). This puts them at high risk of stroke and heart disease, which are the leading causes of death in the US.

The study was participated by 6,155 people who were monitored using the Cardiogram app over a period of time, with the Apple Watch providing all the vital information reflected from each of them.

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According to Brandon Ballinger, Cardiogram co-founder, DeepHeart was trained on data gathered from 70 percent of total participants and then tested again on the remaining 30 percent data that were not used in the previous training. Often a sleep study to diagnose sleep apnea involves an overnight stay in a clinic setting and a poor night's rest for the participant. The study is promising as a way to diagnose health problems in people who may not they have it.



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