Passive Detection of Atrial Fibrillation Using a Commercially Available Smartwatch.

ABSTRACT:

Importance

Atrial fibrillation (AF) affects 34 million people worldwide and is a leading cause of stroke. A readily accessible means to continuously monitor for AF could prevent large numbers of strokes and death.

Objective

To develop and validate a deep neural network to detect AF using smartwatch data.

Design, setting, and participants

In this multinational cardiovascular remote cohort study coordinated at the University of California, San Francisco, smartwatches were used to obtain heart rate and step count data for algorithm development. A total of 9750 participants enrolled in the Health eHeart Study and 51 patients undergoing cardioversion at the University of California, San Francisco, were enrolled between February 2016 and March 2017. A deep neural network wa

SUBMITTER: Tison GH 

PROVIDER: S-EPMC5875390 | biostudies-literature | 2018 May

REPOSITORIES: biostudies-literature