基于EZW的ECG压缩算法研究与改进

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。

Research and Improvement of ECG Compression Algorithm Based on EZW

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.