Detection of Atrial Fibrillation in a Large Population Using Wearable Devices: The Fitbit Heart Study.

ABSTRACT:

Background

Morbidity from undiagnosed atrial fibrillation (AF) may be preventable with early detection. Many consumer wearables contain optical photoplethysmography (PPG) sensors to measure pulse rate. PPG-based software algorithms that detect irregular heart rhythms may identify undiagnosed AF in large populations using wearables, but minimizing false-positive detections is essential.

Methods

We performed a prospective remote clinical trial to examine a novel PPG-based algorithm for detecting undiagnosed AF from a range of wrist-worn devices. Adults aged ≥22 years in the United States without AF, using compatible wearable Fitbit devices and Android or iOS smartphones, were included. PPG data were analyzed using a novel algorithm that examines overlapping 5-minute pulse wind

SUBMITTER: Lubitz SA 

PROVIDER: S-EPMC9640290 | biostudies-literature | 2022 Nov

REPOSITORIES: biostudies-literature