Abstract
In the present work we analyze the performance of orthogonal and Biorthogonal wavelet for electrocardiogram (ECG) compression. Both types of wavelets applied on different types of records taken from MIT-BIH database. A thresholding algorithm based on energy packing efficiency of the wavelet coefficients is used to threshold the wavelet coefficients. We divide wavelet coefficients in two groups approximation coefficients group and detail coefficients group then, select an appropriate threshold value for each detail sub band according to the energy packing efficiency of the each sub band . We have implemented different types of wavelets for the compression of the ECG signal and compared their performance. We have evaluated the effect of decomposition levels on compression ratio (CR) and preserved energy. We measured CR and percentage root mean square difference (PRD) and it is found that Bi orthogonal wavelet performs well than the orthogonal ones in both the criteria.
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