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Apple Watch Detects Abnormal Heart Rhythms With 97% Accuracy, Study Says

International Business Times

The Apple Watch smartwatch has been found to be pretty accurate when it comes to detecting abnormal heart rhythms. A continuing study on the potentials of wearables has identified that the watchOS device has a 97 percent accuracy rate in determining abnormal heart conditions. In the study, titled "Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch," published Wednesday in JAMA Cardiology, it is stated there that the Apple Watch has a high accuracy rate in determining unusual heart rhythms. In fact, Apple's smartwatch is said to perform better than add-on ECG accessory KardiaBand. Raw sensor measurements were transformed into fibrillation risk scores.


Apple, Stanford testing if Apple Watch can detect heart problems: Report

ZDNet

Apple has partnered with a group of clinicians at Stanford and telemedicine vendor American Well to test if Apple Watch can be used to detect cardiac abnormalities, according to CNBC. But there's an absurdity to it given the technology won't hold value over time. A source told CNBC the clinical study involving the Apple Watch is set to begin later this year. "We started working on the Apple Watch several years ago," [Cook] said, and one goal was "performing some measurements of your health that people were not measuring, at least continually. Very few people wore heart monitors.


Apple Watch detects heart problem known to cause strokes

Daily Mail - Science & tech

The Apple Watch has been found to detect a heart condition that affects some 2.7 million people in the US, a new study has revealed. By pairing the smartwatch's heart rate sensors with artificial intelligence, researchers developed an algorithm capable of distinguishing an irregular heartbeat, known as atrial fibrillation, from a normal heart rhythm - and with 97 percent accuracy. Atrial fibrillation, although easily treatable, has been difficult to diagnose and the team believes their work could pave the way for new methods to identify the abnormality. The Apple Watch has been found to detect a heart condition that affects some 2.7 million people in the US, a new study has revealed. The algorithm was accurate 97 percent of the time using the smartwatch's heart rate sensor (stock) University of California, San Francisco, in collaboration with the app Cardiogram, trained a deep neural network with heart readings from 6,158 Cardiogram users.


Apple's Heart Study Is the Biggest Ever, But With a Catch

WIRED

Last November, Apple Watch owners began receiving recruitment emails from Apple. The company was looking for owners of its smartwatch to participate in the Apple Heart Study--a Stanford-led investigation into the wearable's ability to sense irregular heart rhythms. Joining was simple: Install an app and wear your watch. If the watch's optical sensors detected an arrhythmia, you might be shipped a dedicated heart monitor--a benchmark to compare against readings from your Apple Watch--to wear for seven days. In true Apple fashion, enrollment and participation were designed to be as user friendly as possible: "Apple and Stanford Medicine are committed to making it easy for people to participate in medical research," the research partners wrote, "because more data can lead to discoveries that save lives."


Apple Watch Detects Heart Problems with Incredible 97% Accuracy

#artificialintelligence

The Apple Watch is 97% accurate in detecting the most common abnormal heart rhythm, according to the findings of a new study conducted by researchers at the University of California, San Francisco, whose goal was to determine if the wearable could one day aid in stroke prevention. The UCSF Health eHeart study, which was conducted in large part via the Cardiogram app for iOS, examined 6,158 participants -- all of whom had normal echocardiogram (EKG) readings, with the exception of 200 individuals who had previously been diagnosed with paroxysmal atrial fibrillation. By implementing a self-developed, AI-based algorithm, researchers and biomedical engineers were then able to train a deep neural network to identify these abnormal heart rhythms utilizing data collected via the Apple Watch's heart rate monitor. While the overall eHeart study is more far-reaching, and examines a number of variables including heart rate, blood pressure, behavior, diet, genetics and more, the inherent portion of the Cardiogram-based inquiry was initiated back in 2016, with the primary intent of discovering whether or not the Apple Watch could detect an oncoming stroke. According to Cardiogram's co-founder and leading data scientist, Brandon Ballinger, approximately 25% of all strokes are caused by an abnormal heart rhythm such as the more commonly occurring abnormality, Atrial Fibrillation.