摘要
本文基于经验模式分解理论与自适用阈值检测原理,采用一种新的心电信号处理方法实现了对心电信号的预处理与R波的检测。该方法经MIT-BIH心电数据验证,可以降低高大P波,T波和基线漂移等噪声污染的影响,R波检测准确率高。
A new algorithm for R-wave detection of EGG using the properties of EMD (Empirical mode decomposition) and adaptive threshold technique is presented in this paper. The method can detect R wave from the signal with large peaked T , P waves and baseline wander and other noises. The algorithm was tested using the records of the MIT-BIH Arrhythmias Database and R-wave detection rate is high.
出处
《微计算机信息》
2009年第18期170-171,192,共3页
Control & Automation
基金
基金申请人:唐艳
项目名称:无创脑电图功能定位研究
基金颁发部门:湖南省自然科学基金委(07JJ6045)
关键词
经验模式分解
自适用阈值
R波检测
EMD (Empirical mode decomposition)
adaptive threshold
R-wave detection