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应用小波变换模极大值检测ECG特征点
引用本文:林薇,吴效明,朱维宗,周静. 应用小波变换模极大值检测ECG特征点[J]. 医疗卫生装备, 2004, 25(10): 13-14
作者姓名:林薇  吴效明  朱维宗  周静
作者单位:1. 华南理工大学生物医学工程系,广州市,510640
2. 京信通信系统有限公司,广州市,510630
摘    要:
利用小波变换模极大值对ECG信号进行奇异性检测,提取ECG信号P波、T波和QRS波群的特征点,具有定位准确,检出率高的特点。实验中选用Mexicanhat连续小波算法,应用MATLAB6.5对MIT-BIH心电数据库的数据进行处理,证实了算法的有效性和可靠性。

关 键 词:小波变换 模极大值 奇异性检测 心电信号(ECG)
文章编号:1003-8868(2004)10-0013-02
修稿时间:2004-05-15

ECG characteristics detection based on wavelet transform modulus maxima
LIN Wei,WU Xiao-ming,ZHU Wei-zong,ZHOU Jing. ECG characteristics detection based on wavelet transform modulus maxima[J]. Chinese Medical Equipment Journal, 2004, 25(10): 13-14
Authors:LIN Wei  WU Xiao-ming  ZHU Wei-zong  ZHOU Jing
Affiliation:LIN Wei,WU Xiao-ming,ZHU Wei-zong*,ZHOU Jing
Abstract:
In this paper, an algorithm with precise location and high detection rate is introduced. The modulus maxima of wavelet transform are applied to the singularity detection for ECG signal, and thus P wave, T wave and QRS waves can be well detected. Continuous wavelet transform with Mexican hat function is adopted to compute the modulus maxima under MATLAB6.5. The algorithm proves effective and reliable through the tests for the data form MIT-BIH database.
Keywords:wavelet transform  modulus maximum  singularity detection  ECG signal  
本文献已被 CNKI 维普 万方数据 等数据库收录!
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