Implementation of Real-Time Abnormal ECG Detection Algorithm for Wearable Healthcare

被引：0
|
作者：
Noh, Yun-Hong [2 ]
Hwang, Gi-Hyun [1 ]
Jeong, Do-Un [1 ]
机构：
[1] Dongseo Univ, Div Comp & Informat Engn, Pusan, South Korea
[2] Dongseo Univ, Grad Sch, Dept Ubiquitous IT Engn, Pusan, South Korea
来源：
2011 6TH INTERNATIONAL CONFERENCE ON COMPUTER SCIENCES AND CONVERGENCE INFORMATION TECHNOLOGY (ICCIT) | 2012年
基金：
新加坡国家研究基金会;
关键词：
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
In this paper, a convenience healthcare monitoring system and a real-time arrhythmia or abnormal ECG detection algorithm are developed. Performance analysis on R-peak detection and abnormal ECG detection has been carried out using several MIT/BIH Arrhythmia Database. The performance analysis shows an average percentage accuracy of 99.63% for R-peak detection and an average percentage accuracy of 92.46% for abnormal ECG. We also implemented the abnormal ECG detection algorithm in a patch type ECG measurement system for daily life ECG monitoring. The experimental result proves the capability of real-time abnormal ECG classification in daily life.
引用
收藏
页码：111 / 114
页数：4
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