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

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초록

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.

키워드

electrocardiogram monitoring; telemedicine; heartbeat classification; personal healthcare; decision tree; random forests; ECG; CLASSIFICATION; SUPPORT
제목
Pit-a-Pat: A Smart Electrocardiogram System for Detecting Arrhythmia
저자
Park, Juyoung; Lee, Kuyeon; Kang, Kyungtae
DOI
10.1089/tmj.2014.0187
발행일
2015-10
유형
Article
저널명
Telemedicine and e-Health
권
21
호
10
페이지
814 ~ 821