Large-Scale Assessment of a Smartwatch to Identify Atrial Fibrillation
Center for Clinical Research (United States) · University of Colorado Denver · +8 more institutions
Abstract
Optical sensors on wearable devices can detect irregular pulses. The ability of a smartwatch application (app) to identify atrial fibrillation during typical use is unknown.
Participants without atrial fibrillation (as reported by the participants themselves) used a smartphone (Apple iPhone) app to consent to monitoring. If a smartwatch-based irregular pulse notification algorithm identified possible atrial fibrillation, a telemedicine visit was initiated and an electrocardiography (ECG) patch was mailed to the participant, to be worn for up to 7 days. Surveys were administered 90 days after notification of the irregular pulse and at the end of the study. The main objectives were to estimate the proportion of notified participants with atrial fibrillation shown on an ECG patch and the positive predictive value of irregular pulse intervals with a targeted confidence interval width of 0.10.
Citation impact
- FWCI
- 142.13
- Percentile
- 100%
- References
- 12
Authors
22Topics & keywords
- Smartwatch
- Atrial fibrillation
- Scale (ratio)
- Internal medicine
- Cardiology
- Medicine
- Computer science
- Cartography
- Quality Education