Arrhythmia detection using wavelet transform

被引：0
|
作者：
Daqrouq, Khaled [1 ]
Abu-Isbeih, Ibrahim N. [1 ]
机构：
[1] Philadelphia Univ, Amman, Jordan
来源：
EUROCON 2007: THE INTERNATIONAL CONFERENCE ON COMPUTER AS A TOOL, VOLS 1-6 | 2007年
关键词：
arrhythmia; wavelet transform; ECG model;
D O I：
暂无
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
In this paper, a new method of arrhythmia classification is proposed, this method based on using the Continuous Wavelet Transform (CWT) for analyzing the ECG signal and extracting the desired parameters related to arrhythmia (Heart Rate Variability). Two models are used to simulate the natural signals of heart; these models are used for the assessment of ECG signal processing methods because they have the same characteristics of the natural signals. Another application is the simulation of some cardiac phenomena and abnormalities such as Normocardia, Bradycardia and Tachycardia. The proposed method gives sharp clear threshold between Normocardia, Bradycardia and Tachycardia.
引用
收藏
页码：383 / 387
页数：5
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