"What if we could transform wearables people already own - Apple Watches, Android Wears, Garmins, and Fitbits - into low-cost, everyday screening tools using artificial intelligence?" wrote Cardiogram co-founder Brandon Ballinger in a Medium post. The findings prompted Apple to join forces with a Stanford team for their own research on the matter. apple is confident the Apple Watch can detect other common heart conditions. Cardiogram is a company that has an app that breaks down the heart rate data that is collected by the Apple Watch. The study found that out of the 6,115 people who participated, sleep apnea was detected in 1,016 of those people had high blood pressure in 2,230 of them.
The study authors wrote that the algorithm could offer a "surprisingly good prediction of hypertension and sleep apnea given that its only inputs are heart rate and step count". 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.
Sleep apnea affects an estimated 22 million adults in the US, with another 80 percent of cases of moderate and severe obstructive sleep apnea undiagnosed, according to the American Sleep Apnea Association.
Another 75 million American adults have high blood pressure (hypertension), according to the Centers for Disease Control (CDC), putting them at risk for heart disease and stroke, the top causes of death in the United States. To conduct this study, specialists used a Cardiogram app. The study was recently presented at the American Heart Association.
Furthermore, it can also identify hypertension with an accuracy of 82%.
Described the achievement in a short time to retrain your Apple watch from the list of gadgets in the list of medical developments.
"Those are important conditions because they affect more than a billion people", cofounder of Cardiogram Brandon Ballinger told MobiHealthNews. "And then you'd guide them through the appropriate final diagnosis, which would be through a blood pressure cuff and then treatment". Seventy percent of the data went to train DeepHeart, teaching it on what to look for when diagnosing sleep apnea and hypertension.