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Pit-a-Pat: A Smart Electrocardiogram System for Detecting Arrhythmia

Title
Pit-a-Pat: A Smart Electrocardiogram System for Detecting Arrhythmia
Author
강경태
Keywords
electrocardiogram monitoring; telemedicine; heartbeat classification; personal healthcare; decision tree; random forests; HEARTBEAT CLASSIFICATION; ECG; ALGORITHM; NETWORKS; FEATURES; SUPPORT; HEALTH
Issue Date
2015-10
Publisher
MARY ANN LIEBERT
Citation
TELEMEDICINE AND E-HEALTH, v. 21, No. 10, Page. 814-821
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.Materials and 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.
URI
http://online.liebertpub.com/doi/abs/10.1089/tmj.2014.0187http://hdl.handle.net/20.500.11754/40561
ISSN
1530-5627; 1556-3669
DOI
10.1089/tmj.2014.0187
Appears in Collections:
COLLEGE OF COMPUTING[E] > COMPUTER SCIENCE(소프트웨어학부) > Articles
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