Unknown

Dataset Information

Accuracy of Smartphone Camera Applications for Detecting Atrial Fibrillation: A Systematic Review and Meta-analysis.


ABSTRACT: Importance:Atrial fibrillation (AF) affects more than 6 million people in the United States; however, much AF remains undiagnosed. Given that more than 265 million people in the United States own smartphones (>80% of the population), smartphone applications have been proposed for detecting AF, but the accuracy of these applications remains unclear. Objective:To determine the accuracy of smartphone camera applications that diagnose AF. Data Sources and Study Selection:MEDLINE and Embase were searched until January 2019 for studies that assessed the accuracy of any smartphone applications that use the smartphone's camera to measure the amplitude and frequency of the user's fingertip pulse to diagnose AF. Data Extraction and Synthesis:Bivariate random-effects meta-analyses were constructed to

SUBMITTER: O'Sullivan JW 

PROVIDER: S-EPMC7125433 | biostudies-literature | 2020 Apr

REPOSITORIES: biostudies-literature