title: Pit-a-Pat: A Smart Electrocardiogram System for Detecting Arrhythmia.
abstract: BACKGROUND
  Electrocardiogram (ECG) telemonitoring is one of the most promising applications of medical telemetry. However, previous approaches to ECG telemonitoring have largely relied on public databases of ECG results.
  
  
  METHODS
  In this article we propose a smart ECG system called Pit-a-Pat, which extracts features from ECG signals and detects arrhythmia. It is designed to run on an Android™ (Google, Mountain View, CA) device, without requiring modifications to other software.
  
  
  RESULTS
  We implemented the Pit-a-Pat system using a commercial ECG device, and the experimental results demonstrate the effectiveness and accuracy of Pit-a-Pat for monitoring the ECG signal and analyzing the cardiac activity of a mobile patient.
  
  
  CONCLUSIONS
  The proposed system allows monitoring of cardiac activity with automatic analysis, thereby providing a convenient, inexpensive, and ubiquitous adjunct to personal healthcare.
authors.affiliation: Department of Computer Science & Engineering, Hanyang University , Ansan, Republic of Korea.
authors.forename: Juyoung
authors.initials: J
authors.lastname: Park
authors.affiliation: Department of Computer Science & Engineering, Hanyang University , Ansan, Republic of Korea.
authors.forename: Kuyeon
authors.initials: K
authors.lastname: Lee
authors.affiliation: Department of Computer Science & Engineering, Hanyang University , Ansan, Republic of Korea.
authors.forename: Kyungtae
authors.initials: K
authors.lastname: Kang
mesh_terms: D001145:Arrhythmias, Cardiac / Q000503:physiopathology*; D004562:Electrocardiography / Q000295:instrumentation / Q000379:methods*; D008955:Models, Cardiovascular; D012815:Signal Processing, Computer-Assisted; D000068997:Smartphone; D012984:Software
keywords: decision tree; electrocardiogram monitoring; heartbeat classification; personal healthcare; random forests; telemedicine