Apple Watch Afib data discrepancy?
Here's one for any techn minded folks out there...My Apple Watch is set up to continuously monitor Afib. When setting it up, I entered that I have been diagnosed with Afib, which I believe means it does not send an alert each time it detects Afib.
Here's my question: How is it that even though it indicates that throughout a 24 hr period over the past six weeks I had Afib 2% or less of the time (meaning I may have not had any Afib, but it's accuracy is not absolute), yet it also indicates that over the same six week period I had Afib 3% of the time on Saturdays and Sundays? How is that possible?
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@gloaming I think in the absence of conducting a reliable experiment, it is reasonable to rely on data from the internet and personal experience regarding the relative efficacy of the two devices, which is the same way many of us on this forum have become "knowledgeable" about all things Afib.
@nevets My point was not that it is unreasonable, but that it might not be salutary...or wise. In fact, it might be dangerous to rely on confirmatory, or hopeful, information that is not confirmed using other sources of information, especially when your two available sources are contradictory. This is a textbook example of when a patient should seek confirmatory information to rule out a potentially harmful disorder.
I have similar experiences with AF tech and the posts here confirm my observations. I started with Cardia, then GAlaxy 8 then Iwatch 10 and I even tried credit card Cardia. (I'm a touch nerdy) I've shared traces with my Ep and also paid QALY $15 for on line interpretations. I now pretty well use the Iwatch simply because i have Iphone. All are good at detecting sinus rhythms plus pure AF. Where they lack as these posts affirm is interpreting ectopic beats, ie PACs and PVCs. I find that if have only a couple of PACs during a 30 sec recording i get a Sinus rhythm diagnosis whereas if the PACs are more numerous then the watch returns a diagnosis of AF even though my EP and QALY dispute that. Apple has a measure called Afib burden which tends to fluctuate over time but I read that it's being generated by measuring the interval between beats from the HR algorithm which is pretty continuous in the background (unlike the ECG which requires activation and a finger on the crown) and if there's enough variation then it's considered AFIB which seems consistent with the false AF diagnoses for PACs. AS others here have written, It's notable that the AF burden tends to increase on weekends which doesn't make much sense in that I'm retired. We need a course in how to interpret the electronics. Gloaming's recommendation is where I land - the trace is a good indicator of whether I'm in AF, PACs or Sinus Rhythm, but don't trust the diagnosis..
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