Hybrid 2-D ECG compression method based on wavelet transform
基于小波变换的混合二维ECG数据压缩方法

In this paper,the authors proposed a new hybrid two-dimensional(2-D)wavelet-based electrocardiogram(ECG)data compression method.A 1-D ECG data was first segmented and aligned to a 2-D data array,which fully utilizing the two kinds of correlation of heartbeat signals.And then 2-D wavelet transform was applied to the constructed 2-D data array.A modified coding method was employed to the wavelet coefficients.First,modified the set partitioning hierarchical trees(SPIHT)method and the vector quantization(VQ)method,according to the individual characteristic of different coefficient subband and the similarity between the subbands.Second,a hybrid compression method of the modified SPIHT and VQ was employed to the wavelet coefficients.Records selected from the MIT/BIH arrhythmia database were tested.The experimental results showed that the proposed method was suitable for various morphologies of ECG data,and that it achieved high compression ratio with the characteristic features well preserved.