Statistical Comparison of Wavelet Transforms in Signal Processing of Normal Electrocardiograms
The paper presents a comparative statistical analysis of noise reduction results in the signals of normal electrocardiogram (ECG) using discrete wavelets. Theanalysis has been performed on a large amount of data (about 28,000 normal ECG intervals). The choice of wavelet, threshold and level of decomposition, depending on the level of SNR (Signal to Noise Ratio) have been considered. It is shown that the Coiflet and Symlet wavelets in the soft threshold method and the rigsure threshold give the best results in noise reduction in the general case. Matlab software has been used for calculations.