心电信号提升小波零树编码压缩算法

    ECG Data Compression Method Based on Lifting Scheme

    • 摘要: 为了便于心电信号的存储和远传,提出了一种基于提升方式的整数小波变换、组合嵌入式零树编码方案的心电信号压缩算法.改进了应用于二维图像压缩的嵌入式零树编码方法,用于一维心电信号压缩,采用整数实现的提升方式代替原来的小波变换,降低算法的复杂性.对MIT-BIH数据库中的心电信号压缩,结果表明:该算法相比其他方法具有较高的压缩比和较低的均方根百分误差;具有存储空间小、实现简单、快速及可变码率等特点,非常适合在存储空间、功耗要求严格的便携式心电信号记录仪中应用.

       

      Abstract: In order to store and transmit electrocardiogram(ECG),an integer wavelet based on lifting scheme composed of embedded zerotree wavelet(EZW)coding is proposed in this paper.The EZW has achieved notable success in image coding.We modified the algorithm for the one-dimensional case and applied it to compression of ECG data.In order to reduce the complexity of the algorithm,we used the integer wavelet to replace the original wavelet.Experiments on selected records from MIT-BIH arrhythmia database revealed that the proposed code is significantly more efficient in compression,when compared with other methods.The algorithm exhibits the virtue of simplicity,fastness variant bit rate,space saving and relatively low computation complexity,etc.which makes it especially fit for the embedded system with critical memory space and power consumption.

       

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