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A paper presented at Heart Rhythm Society's Heart Rhythm 2017
conference by Gregory Marcus, professor at UCSF, describes the
results of using an Apple watch together with application software
developed by Cardiogram.

When compared against a 12-lead electrocardiogram reference, the resulting Apple Watch and DNN solution was found capable of identifying AF with an accuracy of 97 percent, sensitivity of 98 percent and specificity of 90.2 percent, all high marks compared to past detection algorithms.
"DNN solution" means the application software.
"AF" means atrial fibrillation.

For the details read this article at --> Appleinsider.

This seems like good progress in developing health monitoring
applications for the Apple Watch and other smart watches.
Presumably the current Cardiogram application for Apple Watch
currently available from iTunes does not yet implement this atrial
fibrillation detection scheme.


Thanks,
rationaltime
 

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Incredible. What a great way to detect and treat a potentially deadly condition (and other conditions, perhaps early heart disease at some point?).
 

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Incredible. What a great way to detect and treat a potentially deadly condition (and other conditions, perhaps early heart disease at some point?).
As a device, it's simple, widely available, and probably easier to get onto many wrists than the chest strap one of my coworkers wore for a couple months (yes, to check for atrial fibrillation).

If other smartwatch platforms can be similarly leveraged -- taking privacy concerns into consideration, too -- programs like this can really take off. This is the kind of thing Apple was working to push when they rolled out HealthKit a couple years ago.
 

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Awesome stuff! Deep learning is really making a lot of this magic happen. The AW is a great sensor to collect this data.


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I recently downloaded it and also using it...looks pretty cool but still need to explore more on its features.
 
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