Analysis of ECG Signal Using WP-HH Transform

Abstract

This paper introduces a method of ECG signal de noising using Hilbert Huang and Wavelet Packet Transform. Both HHT and WPT are signal processing method. Wavelet Packet transforms is used to decompose the electrocardiogram signal into a set of narrow band signals. Later the suitable threshold value is selected for each decomposed components. For those components for which wavelet coefficients are larger than the threshold value, HHT is applied. This method removes the noise as well as base line wonder effect from ECG signal and reduces the computing quantities and the decomposition layers of EMD. Paper includes features extraction method using ECG signal (IF, mean frequency, phase) which are useful to discriminate normal and abnormal signal. The simulation result indicates the proposed method is very effective as compared to other methods.