Am Heart J August 2021 PMID 33865810

Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study.

Steven A Lubitz, Anthony Z Faranesh, Steven J Atlas, David D McManus, Daniel E Singer, Sherry Pagoto, Alexandros Pantelopoulos, Andrea S Foulkes

Download social card

Mentions

37
Peak: 3 in Aug 2021
across 5 sources since Aug 2021

Extended reach

31,600
potential audience

Total likes

231

Video views

14,436

Mentions per month

Aug 2021 – Jul 2025

Where it's discussed

  • News27 articles
  • X / Twitter4 posts
  • YouTube2 videos
  • Facebook2 posts
  • Blogs2 articles

AI synopsis

What people are saying

Several discussions emphasize the importance of the large-scale validation effort, with phrases like 'valuable step' and 'potential game changer', reflecting interest and acknowledgment of the study's significance. Words like 'validating', 'detect', and 'implications' demonstrate thoughtful engagement and recognition of its impact on healthcare technology and patient outcomes.

AgreementModerate agreement

Most discussions recognize the importance of the study and agree that validating consumer wearable data for AF detection is valuable.

InterestModerate interest

The discussions show moderate curiosity about the study's methodology and implications, with some curiosity about how the results might influence medical practice.

EngagementModerate engagement

Participants are actively analyzing the study's design and potential, with references to presentation details and publication impact, indicating a reasonable level of engagement.

ImpactModerate impact

There is a shared belief that this research could significantly affect how atrial fibrillation is detected and managed in the future.

Abstract in brief

  • The Fitbit Heart Study is a large, remote clinical trial that tests the accuracy of a new software algorithm in Fitbit devices for detecting atrial fibrillation (AF) using data from wrist-worn wearables like smartwatches.
  • Participants with compatible devices are monitored for irregular heart rhythms, and those with irregularities are sent ECG patches to confirm AF, aiming to evaluate how well the wearable technology predicts AF episodes.
  • The study aims to determine the positive predictive value of detecting AF through wearable devices, providing important insights into the potential of consumer technology for early AF detection and understanding the characteristics of AF episodes identified this way.

Top posts

Most liked on X and Bluesky
AmericanHeartJ
@AmericanHeartJ · X

Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study. https://t.co/ng5h9oTodp https://t.co/9o6snnmCUw

Aug 24, 2021 · 4 likes · 2 shares · 10,558 followers View post →
Daniel Mark
@DanMarkMD · X

RT @AmericanHeartJ: Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from da…

Aug 25, 2021 · 2 shares · 2,995 followers View post →
Martín López de la Torre
@elendocrino · X

RT @AmericanHeartJ: Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from da…

Aug 26, 2021 · 2 shares · 2,953 followers View post →
Dhruv R. Seshadri, PhD
@DhruvSeshadri · X

Data used for this clearance came from the "Fitbit Heart Study" presented at the 2021 @AHAMeetings and published in the journal American Heart Journal. https://t.co/nId7D3be4L

Apr 12, 2022 · 646 followers View post →

All mentions

Dhruv R. Seshadri, PhD
@DhruvSeshadri · X

Data used for this clearance came from the "Fitbit Heart Study" presented at the 2021 @AHAMeetings and published in the journal American Heart Journal. https://t.co/nId7D3be4L

Apr 12, 2022 · 646 followers View post →
Martín López de la Torre
@elendocrino · X

RT @AmericanHeartJ: Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from da…

Aug 26, 2021 · 2 shares · 2,953 followers View post →
Daniel Mark
@DanMarkMD · X

RT @AmericanHeartJ: Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from da…

Aug 25, 2021 · 2 shares · 2,995 followers View post →
AmericanHeartJ
@AmericanHeartJ · X

Rationale and design of a large population study to validate software for the assessment of atrial fibrillation from data acquired by a consumer tracker or smartwatch: The Fitbit heart study. https://t.co/ng5h9oTodp https://t.co/9o6snnmCUw

Aug 24, 2021 · 4 likes · 2 shares · 10,558 followers View post →