智能型心功能分析系统中的去噪声算法研究  

The De-noising Algorithm Study for the Intelligent Cardiovascular Function Analysing System

作　　者：王植存[1] 张元[2] 

机构地区：[1]郑州大学信息工程学院,河南郑州450052 [2]河南工业大学,河南郑州450052

出　　处：《华北水利水电学院学报》2006年第3期58-60,共3页North China Institute of Water Conservancy and Hydroelectric Power

基　　金：河南省教育厅科技攻关项目(200511327003)

摘　　要：为了对智能型心功能分析系统寻找有效的去噪声方法,在Matlab6.5仿真环境下,以小波变换系数模极大值去噪声算法和Donoho的软阈值去噪声算法为基础,对心电(ECG)信号的噪声去除进行了研究.仿真结果表明,该算法在一定程度上提高了信噪比,提高了心电信号的质量,为进一步提取有效的生理信息打下了基础.The intelligent cardiovascular function analyzing system is a new computer-controlled cardiovascular function detecting and analyzing system without suffering injuries.The aim of this study is to find an effective de-noising method for the system mentioned above. The wavelet transform has been used in de-noising field for its outstanding focusing characteristics in time-frequency domain .The method used combines the wavelet coefficient modulus method with the soft-thresholding method by Donoho to move noise from the electrocardiogram（ECG）, using Matlab 6.5.The SNR do gain, although it is not very large. So this algorithm lays a solid basis for extracting useful physical information.

关 键 词：噪声消除 小波变换 模极大值 软阈值 

分 类 号：TP393.02[自动化与计算机技术—计算机应用技术]