Efficient Reconstruction and Compression of Large Size ECG Signal by Tchebichef Moments

In this paper, we propose an efficient method for the compression and reconstruction of the large-size 1D electrocardiogram (ECG) signal. In this method, we use Thebichef moments calculated by the modified Gram-Schmidt ortho-normalization process with the use of a full large-sized signal (N=8000) in the reconstruction and compression process. The simulation results and the comparisons carried out show the efficiency and the superiority of the proposed compression and reconstruction methods in terms of the high quality of the compressed signals and in terms of the high compression ratio.