Fitbit Heart Study: Novel algorithm for wearable devices may identify undiagnosed AF

fitbit heart study novel algorithm for wearable devices may identify undiagnosed af

Sumary of Fitbit Heart Study: Novel algorithm for wearable devices may identify undiagnosed AF:

  • November 14, 2021 3 min read Source/Disclosures Published by: Source: Lubitz SA, et al.
  • Presented at: American Heart Association Scientific Sessions;
  • Lubitz reports consulting for Bayer, Blackstone Life Sciences and Bristol Myers Squibb/Pfizer and receiving grants from the AHA, Bayer, Boehringer Ingelheim, Bristol Myers Squibb/Pfizer, Fitbit, IBM and the NIH.
  • Back to Healio An algorithm used in Fitbit wearable devices showed the capability to identify asymptomatic atrial fibrillation, according to results of the Fitbit Heart Study presented at the American Heart Association Scientific Sessions.
  • Source: Adobe Stock “A novel photoplethysmography software algorithm for Fitbit wearables enabled large-scale identification of undiagnosed atrial fibrillation,” Lubitz said.
  • Individuals with irregular heart rhythm detection tended to have elevated likelihood of atrial fibrillation on subsequent ECG patch monitoring and had a considerable burden of atrial fibrillation.
  • ” Novel software algorithm Researchers developed the algorithm with frequent overlapping photoplethysmography (PPG) pulse tachogram sampling and tested its positive predictive value for undiagnosed AF in a large-scale remote clinical trial.
  • “If 11 out of 11 consecutive blocks, or tachograms, are irregular, an irregular heart rhythm detection occurs.

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