Affiliation:
1. University of Technology, Department of Electrical Engineering, Baghdad, Iraq
Abstract
In this paper, proposed a new approach of combining the hybrid soft computing
technique called Adaptive Symlet Wavelet Transform (ASWT) filter. The
baseline wanders (BW) noise removal from an ECG signals to minimize
distortion of the S-T segment of the ECG signal specially that have high
sampling frequencies. Therefore, when using Symlet Wavelet Transform (SWT)
to analysis the ECG signal can cause problems to analysis, exclusively when
examining the content of the ECG signal at low-frequency such as S-T
segment. The corresponding frequency components of the approximation
coefficients at level number seven are (0-3.9) Hz. Since the BW frequency is
below 0.5 Hz and ST segment frequency between (0.67-4) Hz. The adaptive
filter with a unity reference signal used to remove the BW noise below 0.5
Hz from the lowest level of the approximation coefficient of the decomposed
ECG signal. The denoising output from adaptive filter and the output from
SWT (the other detail coefficients) will use as an input to ISWT for
reconstruction ECG signals with the remove BW signal. This method represents
a very effective filter for BW noise removal, as it does not need for any
computation process of reference point.
Publisher
National Library of Serbia
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Hardware and Architecture,Mechanical Engineering,Energy Engineering and Power Technology,Control and Systems Engineering
Cited by
6 articles.
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