An ECG Signal De-Noising Approach Based on Wavelet Energy and Sub-Band Smoothing Filter

Electrocardiographic (ECG) signal is essential to diagnose and analyse cardiac disease. However, ECG signals are susceptible to be contaminated with various noises, which affect the application value of ECG signals. In this paper, we propose an ECG signal de-noising method using wavelet energy and a...

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Bibliographic Details
Published in:Applied sciences 2019-11, Vol.9 (22), p.4968
Main Authors: Zhang, Dengyong, Wang, Shanshan, Li, Feng, Wang, Jin, Sangaiah, Arun Kumar, Sheng, Victor S., Ding, Xiangling
Format: Article
Language:English
Subjects:
Coefficients
Coronary artery disease
Decomposition
discrete wavelet transform
ecg
EKG
Energy
Heart diseases
Noise
Signal quality
Signal to noise ratio
Smoothing
smoothing filter
Spectrum analysis
wavelet energy
Wavelet transforms
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Summary:Electrocardiographic (ECG) signal is essential to diagnose and analyse cardiac disease. However, ECG signals are susceptible to be contaminated with various noises, which affect the application value of ECG signals. In this paper, we propose an ECG signal de-noising method using wavelet energy and a sub-band smoothing filter. Unlike the traditional wavelet threshold de-noising method, which carries out threshold processing for all wavelet coefficients, the wavelet coefficients that require threshold de-noising are selected according to the wavelet energy and other wavelet coefficients remain unchanged in the proposed method. Moreover, The sub-band smoothing filter is adopted to further de-noise the ECG signal and improve the ECG signal quality. The ECG signals of the standard MIT-BIH database are adopted to verify the proposed method using MATLAB software. The performance of the proposed approach is assessed using Signal-To-Noise ratio (SNR), Mean Square Error (MSE) and percent root mean square difference (PRD). The experimental results illustrate that the proposed method can effectively remove noise from the noisy ECG signals in comparison to the existing methods.
ISSN:2076-3417
2076-3417
DOI:10.3390/app9224968