English

应用科学学报 ›› 2010, Vol. 28 ›› Issue (5): 507-512.

• 信号与信息处理 • 上一篇    下一篇

利用经验模态分解的QRS综合波检测

朱伟芳，赵鹤鸣，陈小平   

  1. 苏州大学 电子信息学院， 江苏 苏州 215006
  • 收稿日期:2010-06-21 修回日期:2010-09-08 出版日期:2010-09-26 发布日期:2010-09-26
  • 作者简介:朱伟芳，讲师，博士生，研究方向：生物医学信号处理，E-mail: wfzhu@suda.edu.cn； 赵鹤鸣，教授，博导，研究方向：语音信号处理、模式识别，E-mail: hmzhao@suda.edu.cn
  • 基金资助:

    国家自然科学基金](No.61071215)资助

A New QRS Detector Based on Empirical Mode Decomposition

ZHU Wei-fang,\quad ZHAO He-ming,\quad CHEN Xiao-ping   

  1. School of Electronics and Information Engineering, Soochow University, Suzhou 215006, Jiangsu Province, China
  • Received:2010-06-21 Revised:2010-09-08 Online:2010-09-26 Published:2010-09-26

PDF

1843

摘要：

 在分析心电信号能量分布特点基础上，利用经验模态分解(EMD)方法的自适应数据分析特性提出了一种QRS综合波检测方案.采用完全数据驱动的EMD方法将心电信号分解成一组内蕴模式函数(IMFs).求取各内蕴模式函数的能量并归一化，根据能量分布的特点确定信号是否存在电平整体偏置、基线漂移、高大T波等影响QRS综合波检测的因素，并采取相应的抑制措施.然后以较简单的可调阈值进行判定，并采取一系列防错检、防漏检措施来准确定位QRS综合波.采用MIT-BIH Arrythmia Database对该方法进行了验证，平均正确检测率高达99.91%. 结果表明，该方法是一种高效的QRS综合波检测算法.

 

关键词: 心电信号, QRS综合波, 经验模态分解, 内蕴模式函数

Abstract:

According to the characteristics of energy distribution of electrocardiogram (ECG) signals, a novel QRS complex detection scheme based on empirical mode decomposition (EMD) is proposed in the paper. The EMD method decomposes the ECG signal into a set of oscillatory components called intrinsic mode functions (IMFs).
Energy contained in each IMF is then calculated and normalized. According to the energy distribution, interference caused by baseline bias, baseline wander and high T wave is detected and restrained. A simple adaptive threshold is chosen to detect the QRS complex. Several measures for avoiding false positive and false
negative detections are taken. Performance of the method was tested using all 48 records from the MIT-BIH Arrhythmia Database. An average detection rate of 99.91\% was achieved, showing good reliability of the proposed detector.

Key words: ECG signal, , QRS complex, , empirical mode decomposition (EMD), , intrinsic mode functions (IMFs)

中图分类号: