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According to a study conducted through heartbeat measurement app Cardiogram and the University of California, San Francisco, the Apple Watch is 97 percent accurate in detecting the most common abnormal heart rhythm when paired with an AI-based algorithm.
The study involved 6,158 participants recruited through the Cardiogram app on Apple Watch. Most of the participants in the UCSF Health eHeart study had normal EKG readings. However, 200 of them had been diagnosed with paroxysmal atrial fibrillation (an abnormal heartbeat). Engineers then trained a deep neural network to identify these abnormal heart rhythms from Apple Watch heart rate data.
Cardiogram began the study with UCSF in 2016 to discover whether the Apple Watch could detect an oncoming stroke. About a quarter of strokes are caused by an abnormal heart rhythm, according to Cardiogram co-founder and data scientist for UCSF's eHeart study Brandon Ballinger.
Yes, but can the Apple Watch then pace you or shock you?
(Score: 2) by zeigerpuppy on Sunday May 14 2017, @11:57AM
AF or Atrial Fibrillation is a very common abnormal rhythm of the heart. Some people have AF that starts and stops (paroxysmal) and other have it all the time. The risk of stokes is elevated in the paroxysmal form especially as clots can form and move when the rate reverts to normal. The rhythm that results from AF is irregularly irregular. Essentially the usual timing cue coming from the left atrium is disrupted and the heart reverts to spontaneous muscular rhythm. It's a stupendously easy rhythm to pick up and I'm even surprised they'd use AI. I imagine you could miss quite a lot of beats with the sensor and still have a really good detection rate for AF, so this sounds like self-congratulatory BS. Passive monitoring is cool and may have some great benefits, but there's nothing particularly special about Apple's hardware or implementation as far as I can see.