Noise Reduction of Electrocardiographic Signals using Wavelet Transforms

S A Qureshi; I Masood; Murtaza Hashmi; Seppo Hänninen; M Sarwar; A Jameel

doi:10.5755/j01.eee.20.4.6886

Noise Reduction of Electrocardiographic Signals using Wavelet Transforms

S A Qureshi, I Masood, Murtaza Hashmi (Corresponding Author), Seppo Hänninen, M Sarwar, A Jameel

Research output: Contribution to journal › Article › Scientific › peer-review

4 Citations (Scopus)

Abstract

It has always been a critical issue to extract original signal having low signal-to-noise ratio (SNR) buried in heavy noise and interferences. Since the amplitude of the electrocardiogram (ECG) signal is smaller so while gathering and recording it may mix with various kinds of noises and interferences. In this paper, wavelet thresholding de-noising method based on stationary wavelet transform (SWT) is proposed in de-noising of ECG signal. In addition, this paper compares various de-noising methods to validate the proposed de-noising method. The improved de-noising method ensures that the geometrical characteristics of the original ECG are retained as well as efficiently suppresses additive noises. The experimental results reveal that the SWT method is better than traditional wavelet de-noising methods to maintain original shape of ECG waveform having improved SNR.

Original language	English
Pages (from-to)	29-32
Number of pages	4
Journal	Elektronika ir Elektrotechnika
Volume	20
Issue number	4
DOIs	https://doi.org/10.5755/j01.eee.20.4.6886
Publication status	Published - 2014
MoE publication type	A1 Journal article-refereed

Keywords

Electrocardiogram
de-noising
noise
stationary wavelet transform
signal-to-noise ratio

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10.5755/j01.eee.20.4.6886

Cite this

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abstract = "It has always been a critical issue to extract original signal having low signal-to-noise ratio (SNR) buried in heavy noise and interferences. Since the amplitude of the electrocardiogram (ECG) signal is smaller so while gathering and recording it may mix with various kinds of noises and interferences. In this paper, wavelet thresholding de-noising method based on stationary wavelet transform (SWT) is proposed in de-noising of ECG signal. In addition, this paper compares various de-noising methods to validate the proposed de-noising method. The improved de-noising method ensures that the geometrical characteristics of the original ECG are retained as well as efficiently suppresses additive noises. The experimental results reveal that the SWT method is better than traditional wavelet de-noising methods to maintain original shape of ECG waveform having improved SNR.",

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AU - Qureshi, S A

AU - Masood, I

AU - Hashmi, Murtaza

AU - Hänninen, Seppo

AU - Sarwar, M

AU - Jameel, A

PY - 2014

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N2 - It has always been a critical issue to extract original signal having low signal-to-noise ratio (SNR) buried in heavy noise and interferences. Since the amplitude of the electrocardiogram (ECG) signal is smaller so while gathering and recording it may mix with various kinds of noises and interferences. In this paper, wavelet thresholding de-noising method based on stationary wavelet transform (SWT) is proposed in de-noising of ECG signal. In addition, this paper compares various de-noising methods to validate the proposed de-noising method. The improved de-noising method ensures that the geometrical characteristics of the original ECG are retained as well as efficiently suppresses additive noises. The experimental results reveal that the SWT method is better than traditional wavelet de-noising methods to maintain original shape of ECG waveform having improved SNR.

AB - It has always been a critical issue to extract original signal having low signal-to-noise ratio (SNR) buried in heavy noise and interferences. Since the amplitude of the electrocardiogram (ECG) signal is smaller so while gathering and recording it may mix with various kinds of noises and interferences. In this paper, wavelet thresholding de-noising method based on stationary wavelet transform (SWT) is proposed in de-noising of ECG signal. In addition, this paper compares various de-noising methods to validate the proposed de-noising method. The improved de-noising method ensures that the geometrical characteristics of the original ECG are retained as well as efficiently suppresses additive noises. The experimental results reveal that the SWT method is better than traditional wavelet de-noising methods to maintain original shape of ECG waveform having improved SNR.

KW - Electrocardiogram

KW - de-noising

KW - noise

KW - stationary wavelet transform

KW - signal-to-noise ratio

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DO - 10.5755/j01.eee.20.4.6886

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Noise Reduction of Electrocardiographic Signals using Wavelet Transforms

Abstract

Keywords

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