%0 Journal Article
%@ 2291-5222
%I JMIR Publications
%V 5
%N 9
%P e135
%T Atrial Fibrillation Screening in Nonmetropolitan Areas Using a Telehealth Surveillance System With an Embedded Cloud-Computing Algorithm: Prospective Pilot Study
%A Chen,Ying-Hsien
%A Hung,Chi-Sheng
%A Huang,Ching-Chang
%A Hung,Yu-Chien
%A Hwang,Juey-Jen
%A Ho,Yi-Lwun
%+ Department of Internal Medicine, National Taiwan University Hospital, No.7, Chung Shan S. Rd., Taipei, 10002, Taiwan, 886 2 2312 3456 ext 63651, ylho@ntu.edu.tw
%K atrial fibrillation
%K screen
%K cloud-computing algorithm
%K electrocardiography
%D 2017
%7 26.09.2017
%9 Original Paper
%J JMIR Mhealth Uhealth
%G English
%X Background: Atrial fibrillation (AF) is a common form of arrhythmia that is associated with increased risk of stroke and mortality. Detecting AF before the first complication occurs is a recognized priority. No previous studies have examined the feasibility of undertaking AF screening using a telehealth surveillance system with an embedded cloud-computing algorithm; we address this issue in this study. Objective: The objective of this study was to evaluate the feasibility of AF screening in nonmetropolitan areas using a telehealth surveillance system with an embedded cloud-computing algorithm. Methods: We conducted a prospective AF screening study in a nonmetropolitan area using a single-lead electrocardiogram (ECG) recorder. All ECG measurements were reviewed on the telehealth surveillance system and interpreted by the cloud-computing algorithm and a cardiologist. The process of AF screening was evaluated with a satisfaction questionnaire. Results: Between March 11, 2016 and August 31, 2016, 967 ECGs were recorded from 922 residents in nonmetropolitan areas. A total of 22 (2.4%, 22/922) residents with AF were identified by the physician’s ECG interpretation, and only 0.2% (2/967) of ECGs contained significant artifacts. The novel cloud-computing algorithm for AF detection had a sensitivity of 95.5% (95% CI 77.2%-99.9%) and specificity of 97.7% (95% CI 96.5%-98.5%). The overall satisfaction score for the process of AF screening was 92.1%. Conclusions: AF screening in nonmetropolitan areas using a telehealth surveillance system with an embedded cloud-computing algorithm is feasible. 
%M 28951384
%R 10.2196/mhealth.8290
%U https://mhealth.jmir.org/2017/9/e135/
%U https://doi.org/10.2196/mhealth.8290
%U http://www.ncbi.nlm.nih.gov/pubmed/28951384