PULSE-SMART: Pulse-Based Arrhythmia Discrimination Using a Novel Smartphone Application.

ABSTRACT:

Background

Atrial fibrillation (AF) is a common and dangerous rhythm abnormality. Smartphones are increasingly used for mobile health applications by older patients at risk for AF and may be useful for AF screening.

Objectives

To test whether an enhanced smartphone app for AF detection can discriminate between sinus rhythm (SR), AF, premature atrial contractions (PACs), and premature ventricular contractions (PVCs).

Methods

We analyzed two hundred and nineteen 2-minute pulse recordings from 121 participants with AF (n = 98), PACs (n = 15), or PVCs (n = 15) using an iPhone 4S. We obtained pulsatile time series recordings in 91 participants after successful cardioversion to sinus rhythm from preexisting AF. The PULSE-SMART app conducted pulse analysis using 3 methods (R

SUBMITTER: McMANUS DD 

PROVIDER: S-EPMC4768310 | biostudies-literature | 2016 Jan

REPOSITORIES: biostudies-literature