A comparison study on ECG signal compression methods

Abstract

The aim of this work is to carry out a comparison study for a set of compression methods including DCT , DWT,DFT algorithms , and vector quantization methods like the LGB algorithm. A review of the different techniques used for ECG , speech and image and video compression is also presented. These techniques are implemented on MATLAB r2013a and evaluated based on their respective compression ratios and percentage of mean square difference. The study shows that the dct compression is the most efficient amongst other transform compression techniques and that vector quantization is in the case of an ECG signal a good strategy for a more efficient compresson ratio.