本文已被：浏览 1140次 下载 0次
中文摘要: 目的 提出一种新算法进行QT间期的自动分析 方法 对ECG信号进行小波变换，根据模极大值对的形态进行T波识别 结果 经MIT－BIH数据库检验，QRS波识别率达到了99.52%。经QT数据库检验，T波正确识别率达到了87.69%，与心电专家手工标注相比，误差为0.33±10.59（ms）。
中文关键词: ECG QT检测 T波识别 小波变换
Abstract:Objective To present a new algorithm for automatic analysis of QT interval Methods ECG signal was first decomposed using the wavelet transform ,then T wave recognition was done according to the module maxima pair’s morphology Results Validated with MIT-BIH database, QRS detection rate was 99.52%.Validated with the QT database ,the T wave detection rate was 87.69%,and the difference between manual annotations and the detector’s T wave end was 0.33±10.59(ms).
文章编号：cg060321 中图分类号： 文献标志码：
基金项目:
Lichuan Wang Yuquan Chen*
Department of Biomedical Engineering and Instrument science, Zhejiang University, Hangzhou
引用文本：