Nine to 21 percent of women and 24 to 31 percent of men have sleep apnea, according the American Sleep Association. Both are common-and commonly undiagnosed-conditions associated with life-threatening problems, including stroke and heart attack. About 6 thousand volunteers have worn the clock Apple watch. And remember that the accuracy of heart data of Apple Watch would depend on how you wear it. The University of California San Francisco made a study on mobile health using Apple Watch. The company offers an app for organizing heart-rate data from an Apple Watch, and other devices with heart-rate sensors. Cardiogram's founders drew on their previous experience as Google employees, working on speech recognition for Android phones and the Google Assistant.
This study recruited participants for a Health eHeart study and trained the DeepHeart neural network to detect new variables with heart rate. The overall system is called DeepHeart. Hypertension, meanwhile, is high blood pressure; for extended periods, it can lead to serious health issues. They diagnose hypertension by putting that familiar cuff on your arm.
Thus, we wonder how the algorithm of Cardiogram could make a good guess without having to use an equipment. We only sort of know.
Cardiogram explained that our autonomic nervous system connects our breathing, heart rate, and blood pressure. For example, heart rate variability is lower in people with sleep apnea. "They're kind of a foreign form of intelligence", says Ballinger. But the startup's business plan is to one day add features that advise a user to be checked for atrial fibrillation, high blood pressure, or sleep apnea.
A certain study suggested that it might detect such condition.
Furthermore, the watch is also able to guide people to a suitable final diagnosis.
That plan is plausible, but needs to be proved out.
Since the app is able to track heart rates and can detect when the heart rate spikes during the normal REM sleep cycle, it can also detect when that cycle is abnormal.
The value of the said study hasn't been proven yet for medicine.
Last May, Cardiogram and UCSF demonstrated the ability of Apple Watch to detect irregularities in rhythmic function of the heart with an impressive 97 percent accuracy.
Next, researchers from Cardiogram want to use data collected by wearable gadgets to help improve detection of diabetes. The Cardiogram study relies on the DeepHeart platform.