基于小波和形态学的窦房结电图消噪算法研究  

SNE denoising algorithm based on wavelet and morphology

作　　者：施雯[1] 周严[1] 

机构地区：[1]南京理工大学机械工程学院,南京210094

出　　处：《电子测量技术》2014年第4期68-71,107,共5页Electronic Measurement Technology

摘　　要：窦房结电图(SNE)是反映窦房结电活动的一种高分辨率的心电图,在临床医学上主要用于研究心律失常。为了提高临床诊断效率,提出了一种基于小波分析和数学形态法的消噪算法。该算法采用线性结构元素的形态滤波器消除SNE信号中的基线漂移,使用小波软阈值消噪法去除高频噪声,从而得到信噪比高的SNE信号。实验表明该算法可有效地对SNE信号进行消噪处理。Sinus node electrogram （SNE） is a reflection of the sinus node electrical activity as a high-resolution ECG, mainly used in the clinical study arrhythmias. In order to improve the efficiency of clinical diagnosis,this paper presents a denoising algorithm based on wavelet and morphology. This algorithm removes baseline drift by morphology filter which with a linear structure elements. And then it uses wavelet soft threshold denoising method to remove high frequency noise, resulting in a high signal to noise ratio SNE signal. Experiments show that the algorithm can effectively SNE signal denoising.

关 键 词：窦房结电图 小波阈值滤波 形态学滤波 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]