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: 1) by Rich26189 on Sunday May 14 2017, @03:36PM (3 children)
This inquiring mind wants to know, what does ACU stand for in this context? I’ve no experience with stats or medical research. I followed the link, saw the acronym but no explanation, did I miss it? A DDG search for the acronym returned nothing of value neither did searching on “allacronyms.com. You’re warning us it should not be confused with accuracy, what is it?
(Score: 0) by Anonymous Coward on Sunday May 14 2017, @04:04PM (1 child)
It isn't a medical term, it means area under the ROC curve: https://www.kaggle.com/wiki/ROC [kaggle.com]
(Score: 1) by Rich26189 on Monday May 15 2017, @05:44PM
Thanks
(Score: 0) by Anonymous Coward on Sunday May 14 2017, @04:36PM
The kaggle wiki also contains this helpful page: https://www.kaggle.com/wiki/AreaUnderCurve [kaggle.com]