Fixed percentage of wavelet coefficients to be zeroed for ECG compression

A new method for ECG compression is presented. After the pyramidal wavelet decomposition, the resultant coefficients are subjected to an iterative threshold until a fixed percentage target of wavelet coefficients to be zeroed is reached. Next, the lossless Huffman's coding is used to increase the compression ratio. Quality preservation for good compression ratios is reported.

[1]  I. Johnstone,et al.  Wavelet Shrinkage: Asymptopia? , 1995 .

[2]  J. Kozumplík,et al.  Wavelet transform in electrocardiography--data compression. , 1997, International journal of medical informatics.

[3]  M.L. Hilton,et al.  Wavelet and wavelet packet compression of electrocardiograms , 1997, IEEE Transactions on Biomedical Engineering.

[4]  José García,et al.  ECG signal compression plus noise filtering with truncated orthogonal expansions , 1999, Signal Process..

[5]  S. Ahmed,et al.  ECG data compression using optimal non-orthogonal wavelet transform. , 2000, Medical engineering & physics.

[6]  Robert S. H. Istepanian,et al.  Optimal zonal wavelet-based ECG data compression for a mobile telecardiology system , 2000, IEEE Transactions on Information Technology in Biomedicine.

[7]  William A. Pearlman,et al.  Wavelet compression of ECG signals by the set partitioning in hierarchical trees algorithm , 2000, IEEE Transactions on Biomedical Engineering.

[8]  Bashar A. Rajoub.  An efficient coding algorithm for the compression of ECG signals using the wavelet transform , 2002, IEEE Transactions on Biomedical Engineering.