Dataset Information

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

ABSTRACT: 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.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).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 (Root Mean Square of Successive RR Differences; Shannon Entropy; Poincare plot). We examined the sensitivity, specificity, and predictive accuracy of the app for AF, PAC, and PVC discrimination from sinus rhythm using the 12-lead EKG or 3-lead telemetry as the gold standard. We also administered a brief usability questionnaire to a subgroup (n = 65) of app users.The smartphone-based app demonstrated excellent sensitivity (0.970), specificity (0.935), and accuracy (0.951) for real-time identification of an irregular pulse during AF. The app also showed good accuracy for PAC (0.955) and PVC discrimination (0.960). The vast majority of surveyed app users (83%) reported that it was "useful" and "not complex" to use.A smartphone app can accurately discriminate pulse recordings during AF from sinus rhythm, PACs, and PVCs.

SUBMITTER: McMANUS DD

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

REPOSITORIES: biostudies-literature

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

McMANUS David D DD Chong Jo Woon JW Soni Apurv A Saczynski Jane S JS Esa Nada N Napolitano Craig C Darling Chad E CE Boyer Edward E Rosen Rochelle K RK Floyd Kevin C KC Chon Ki H KH

Journal of cardiovascular electrophysiology 20151113 1

<h4>Background</h4>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.<h4>Objectives</h4>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).<h4>Methods</h4>We analyzed two hundred and nineteen 2-minute puls ...[more]

PMID: 26391728

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Project description:BackgroundFueled by rapid technological advances over the past decade, there is growing interest in the use of smartphones to aid in smoking cessation. Hundreds of applications have been developed for this purpose, but little is known about how these applications are accessed and used by smokers or what features smokers believe would be most useful.PurposeThe present study sought to understand the prevalence of smartphone ownership and patterns of use among smokers as well as the perceived utility of various smartphone application features for smoking cessation that are currently in development or already available.MethodsDaily cigarette smokers (n = 224) reported on smartphone ownership, their patterns of smartphone usage, and perceived utility of features. Features were ranked according to perceived utility and differences in both perceived utility and general smartphone use patterns were examined as a function of demographic and smoking-related variables.ResultsMost smokers (80.4%) own a smartphone, but experience with smoking cessation applications is extremely rare (6.1%). Ownership and patterns of usage differed as a function of demographic and smoking-related variables. Overall, gain-framed features were rated as most useful, while loss-framed and interpersonal features were rated as least useful.ConclusionsMobile health interventions have the potential to reach a large number of smokers but are currently underutilized. Additional effort is needed to ensure parity in treatment access. Gain-framed messages may be especially useful for engaging smokers, even if other features ultimately drive treatment effects.ImplicationsThis study describes patterns of smartphone usage among smokers and identifies the smartphone application features smokers believe would be most useful during a quit attempt. Findings indicate which subgroups of smokers are most likely to be reached with mobile health interventions and suggests that inclusion of specific features may be helpful for engaging smokers in the smoking cessation process.

Dataset Information

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

Publications

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

Similar Datasets

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