基于数学形态滤波和提升小波变换的R波检测  

Detection of R Wave Based on Mathematical Morphology and Lifting Wavelet Transforms

作　　者：许学添[1] 邹卓颖[2] 陈云洽[2] 

机构地区：[1]广东司法警官职业学院信息管理系,广州510520 [2]中山大学信息科学与技术学院,广州510275

出　　处：《计算机与数字工程》2010年第6期41-44,共4页Computer & Digital Engineering

摘　　要：利用数学形态学与提升小波变换相结合的方法对心电信号进行分析处理。先用数学形态方法对心电信号进行滤波预处理,可以有效地去除高频白噪声与低频的基线飘移,再利用提升小波变换对处理后的心电信号进行多分辨分析,得出各层逼近信号与细节信号,并在此基础上结合不应期、自适应阈值和回溯检漏等方法,提出了一种动态的R波检测算法,使得QRS波群的检出率达到99.89%。This paper use mathematical morphology and lifting wavelet transforms to analyze and process the ECG signal.First,we use Mathematical methods to remove high frequency white noise and low frequency baseline drift noise.And then using Lifting wavelet transform to get the approximate and detail signal of the ECG signal.Based on these,we present a dynamic R-wave detection method which uses some ways such as refractory period,adaptive threshold,retrospective detect,and so on.And these make the detection rate of the QRS complex 99.89 percent.

关 键 词：ECG信号 数学形态滤波 提升小波变换 R波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]