期刊文献+

心电信号中R波的小波包检测算法研究 被引量:1

Research on R peaks of ECG signal
下载PDF
导出
摘要 心电信号(ECG)特征参数的提取和检测是心电图分析和诊断的基础,而在ECG分析中,快速准确地检测出QRS波群非常重要,它是计算相关参数和诊断的前提。本文针对心电信号QRS波群中R波的检测算法进行了研究与分析,对传统的小波R波检测算法中存在的检测准确率较低和实时性较差的问题加以改进,并提出了具有更加优良分析效果的小波包R波检测方法。并利用美国麻省理工学院的MIT/BIH心电数据库对上述方法进行仿真验证,同时与传统的小波R波检测算法进行实验对比,结果表明,该方法简单有效、准确率高,适于实际应用。 How to extract and recognize the characteristic parameters of ECG (electrocardiogram) signal are the basis problems in ECG analysis and diagnosis research. It is very important to fast and precisely detect QRS complexes wave because it is the precon- dition of calculating the correlation parameters and diagnosis. In this paper, the QRS complexes wave detection algorithm was ana- lyzed. The problem of low accuracy and poor real-time using traditional wavelet transform was improved through applying the wave- package transform to detect the QRS complexes. The better analysis result was obtained. In order to compare these two method,the simulation was completed based on the MIT/BIH Database. The result indicates that more effective and higher accuracy using wave- package transform. And it is suitable for the practical application.
出处 《微计算机信息》 2010年第4期41-43,共3页 Control & Automation
基金 基金申请人:李昕 项目名称:复杂系统中定性与定量信息转换理论与应用研究 基金颁发部门:国家自然科学基金委(60304009)
关键词 ECG QRS波群 R波 小波变换 小波包变换 ECG QRS complexes R-peaks Wavelet transform(WT) Wave-package transform(WPT)
  • 相关文献

参考文献5

  • 1Manuel Blanco-Velasco. ECG signal denoising and baseline wander correction based on the empirical mode decomposition. Computer in Biology and Medicine 38(2008):1-13.
  • 2王丹丹,王怀阳,李晓燕,程俊峰.基于混沌理论的心电信号特性研究[J].微计算机信息,2006,22(03S):243-244. 被引量:4
  • 3胡昌华 张军波 等.基于MATLAB的系统分析与设计[M].西安:西安电子科技大学出版社,1999..
  • 4范显峰,姜兴渭.基于小波包变换的信号去噪方法研究[J].哈尔滨工业大学学报,2003,35(7):809-811. 被引量:39
  • 5Donoho DL. De-noising by Soft-Thresh holding. IEEE Transaction Information Theory,1995,41(3):613-627.

二级参考文献5

  • 1李冰,申春林.模拟雷达图像信号源的原理与设计[J].微计算机信息,2005,21(1):97-98. 被引量:17
  • 2KARIM G O, DAVID J A. Noise reduction in multichannel neural recordings using a new array wavelet denoising algorithm[J]. Neurocomputing, 2001,38(4) : 1687 - 1693.
  • 3THOMAS T L, ANTONY C S. Detection of transients in 1/f noise with the undecimated discrete wavelet transform[J]. IEEE Transactions on Signal Processing, 2000, 48 Fig.5 Matrix of wavelet packets coefficient after denise(5) : 1458 -1462.
  • 4JANSEN M, BULTHEEL A. Multiple wavelet threshold estimation by generalized cross validation for images with correlated noise [ J ]. IEEE Transactions on Image Processing, 1999, 8(7) : 947 -953.
  • 5杜芳,卢文胜,曹文清.振动台试验测试信号去噪的小波变换方法[J].振动与冲击,1999,18(2):26-29. 被引量:11

共引文献61

同被引文献5

引证文献1

二级引证文献3

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部