An efficient compression system for ECG signal using QRS periods and CAB technique based on 2D DWT and Huffman coding

In this paper, a ECG compression system is presented based on two-dimensional discrete wavelet transform (2D DWT) and Huffman coding technique. In this method, two different approaches are utilized to construct a 2D array of 1D ECG signal using cut and align (CAB) technique, therefore ECG 2D array is decomposed with 2D DWT which results more number of insignificant coefficients. They are considered as zero amplitude value which accelerate compression rate and Huffman coding maintains the signal quality due to its lossless nature of compression. The average compression performance of algorithm is 65% with 0.999 correlation score.