ECG signal denoising by using least-mean-square and normalised-least-mean-square algorithm based adaptive filter

Abstract

Electrocardiogram (ECG) is a method of measuring the electrical activities of heart. Every portion of ECG is very essential for the diagnosis of different cardiac problems. But the amplitude and duration of ECG signal is usually corrupted by different noises. In this paper we have done a broader study for denoising every types of noise involved with real ECG signal. Two adaptive filters, such as, least-mean-square (LMS) and normalized-least-mean-square (NLMS) are applied to remove the noises. For better clarification simulation results are compared in terms of different performance parameters such as, power spectral density (PSD), spectrogram, frequency spectrum and convergence. SNR, %PRD and MSE performance parameter are also estimated. Signal Processing Toolbox built in MATLAB ® is used for simulation, and, the simulation result clarifies that adaptive NLMS filter is an excellent method for denoising the ECG signal.

Denoisation of ECG Signal using JADE and FAST ICA Comparison

“…NOISE AFFECTED THE ECG SIGNALS There are two mainly two types of noise that affect the ECG signal. One is Persistent noise and another is Burst noises [7].…”

“…Another famous and well organized algorithms for Independent Component Analysis is FAST ICA. This fixed point iteration algorithms deals statistical independence as a factor of non gaussianity with capitalizing on non gaussainity [7]. This algorithm basically works on iteration for finding the more of variable which are non gaussainity in nature and that can be obtained from estimation of Newton iteration [2].…”

Noise Removal and QRS Detection of ECG Signal

“…ECG is a graphical representation of heart based on electrical impulses. This graphical or recording is for the case of chest pain occurred such as heart attack, rapidity of breath, faster heartbeats, high blood pressure, high cholesterol and to check the heart's electrical activity [21]. Mostly ECG recording is very sensitive and its affects by different types of noise and its change the amplitude and duration of the signal.…”

“…Mostly ECG recording is very sensitive and its affects by different types of noise and its change the amplitude and duration of the signal. In literature review that mostly ECG signals are affected by white noise, colored noise, electrode movement noise, muscle artifact noise, baseline wander, composite noise, electromyographic (EMG) noise, abrupt noise and power line interference [21], [25]. These noise creates more complicated for diagnosis of the ECG signal.…”

“…This algorithm have shown low resolution smooth signal. In [21], the authors were found the performance of adaptive NLMS filter better than adaptive LMS filter. But in practical way, the performance parameters have shown lowest values than others.…”