基于EZW的ECG压缩算法研究与改进  

Research and Improvement of ECG Compression Algorithm Based on EZW

作　　者：彭自然[1] 王国军[1,2] 

机构地区：[1]中南大学信息科学与工程学院,长沙410083 [2]广州大学计算机科学与教育软件学院,广州510006

出　　处：《计算机科学》2016年第11期142-147,共6页Computer Science

基　　金：国家自然科学基金资助项目(61073037;61272496;61272151);教育部博士点基金资助项目(20110162110043)资助

摘　　要：嵌入零树小波(Embeded Zerotree Wavelet,EZW)作为一种高效的压缩方式,虽然在编码上具有一定的优越性,但是其多层零树结构信息编码会使信号的压缩比有所降低。因此,研究了EZW压缩算法的优化与改进。首先研究了使用提升小波格式处理ECG信号,其中重点研究了小波的消失矩提升规律与提升算法;其次对EZW压缩算法编码方式的改进进行了研究。对ECG分解信息进行特征值检测,然后根据特征信息将ECG的小波系数进行加权计算。通过衡量系数的权重,再进行优化编码,从而达到了改进压缩效益的目标。Embedded zero tree wavelet（EZW）is a kind of efficient compression method,although it has certain advantages in the coding,its multi-tree structure information coding will reduce the signal compression ratio.In this paper,the optimization and improvement of EZW compression algorithm were studied.First,the ECG signal is processed using the lifting wavelet scheme,and the law of lifting and lifting algorithm of wavelet transform are studied.Second,the improvement of the coding method of EZW compression algorithm is studied.Through the ECG information decomposition feature detection value,according to the feature information,the wavelet coefficients of ECG are weighted.By measuring the weight of the coefficient,and optimizing the coding,the goal of improving the efficiency of compression is achieved.

关 键 词：小波变换 心电信号 压缩 EZW 

分 类 号：TP311[自动化与计算机技术—计算机软件与理论]