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 Lubitz¹, Anthony Z Faranesh², Steven J Atlas³, David D McManus⁴, Daniel E Singer³, Sherry Pagoto⁵, Alexandros Pantelopoulos², Andrea S Foulkes⁶

¹Cardiac Arrhythmia Service and Cardiovascular Research Center, Massachusetts General Hospital, Boston, MA; Harvard Medical School, Boston, MA. Electronic address: slubitz@mgh.harvard.edu.

²Fitbit, Inc, San Francisco, CA.

³Harvard Medical School, Boston, MA; Division of General Internal Medicine, Massachusetts General Hospital, Boston, MA.

⁴Division of Cardiovascular Medicine, University of Massachusetts Medical School, Worcester, MA.

⁵Department of Allied Health Sciences, University of Connecticut, Storrs, CT.

⁶Harvard Medical School, Boston, MA; Biostatistics Center, Massachusetts General Hospital, Boston, MA.

PubMed DOI

Abstract

BACKGROUND: Early detection of atrial fibrillation or flutter (AF) may enable prevention of downstream morbidity. Consumer wrist-worn wearable technology is capable of detecting AF by identifying irregular pulse waveforms using photoplethysmography (PPG). The validity of PPG-based software algorithms for AF detection requires prospective assessment. METHODS: The Fitbit Heart Study (NCT04380415) i…

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