The ECG data Compression by Discrete Wavelet Transform and Huffman Encoding

Abstract

The Electrocardiogram (ECG) data has been used to diagnose and analyze heart issues. For that The ECG data compression is one of the most important studies in biomedical engineering. The ECG signal compression benefits storage data, data transmission rate decrease, and communication bandwidth reduction. The proposed work deal with the ECG signal compression method of ECG signals using Discrete Wavelet Transform (DWT). The DWT compressed the signal energy in a smaller change in data and has perfect localization assets in frequency & time. The DWT threshold has been selected to perform for the DWT coefficients depending on the signal's Energy Packing Efficiency (EPE). The Huffman encoder has been used to encoding the selected DWT coefficient. The results of the proposed method show better performance with higher compression ratios and good quality reconstructed signals. For Example the Compression ratio (CR) =16.33, 10.57,and 7.75 with percent root mean square difference (PRD)=1.5%, 1.3%, and 1.02% for using different DWT(Harr transform, Bior1.1, and Db2), respectively.