Denoising ECG contaminated with EMG components based on pitch synchronous wavelet analysis

Abstract

This paper proposes a new method based on Pitch Synchronous Wavelet Transform (PSWT), used for denoising ECG from noisy components. In this paper, we focus on the EMG frequently prcsent in the ECG. This representation is based on a modelling concept, which is able to capture period-toperiod fluctuations of the signal by means of basis elements that are comb-like in the frequency domain. The application of this method on the corrupted signal permits to recover the denoised ECG. The performance of the proposed technique is evaluated on a variety of ECG signals (synthetic and real data) and experimental results show the accuracy of the proposed technique for ail corrupted ECG tested.

A novel PSWT-DTW approach for analyzing pseudo-periodic signals

“…For physiological signals, the commonly used methodology is to employ the autocorrelation function [4], [3] and then the pseudo-periods are searched near the pitch period. Instead, we compute the locations directly.…”