scholarly journals Application of the Stationary Wavelet Transform to Reduce Power-line Interference in Atrial Electrograms

2017 ◽  
Author(s):  
Miguel Mart�nez ◽  
Juan R�denas ◽  
Raul Alcaraz ◽  
Jos� J Rieta
Keyword(s):  
Wavelet Transform ◽  
Power Line ◽  
Stationary Wavelet Transform ◽  
Atrial Electrograms ◽  
Power Line Interference ◽  
Line Interference

An Approach Based on Wavelet Transform to Remove the Noises of ECG

2012 ◽  
Vol 562-564 ◽  
pp. 1899-1902
Author(s):  
Guo Zhuang Liang ◽  
Su Fang Sun ◽  
Jing Xia Wei
Keyword(s):  
Signal Processing ◽  
Wavelet Transform ◽  
Medical Diagnosis ◽  
Wavelet Decomposition ◽  
Power Line ◽  
Reconstruction Method ◽  
Threshold Method ◽  
Baseline Drift ◽  
Power Line Interference ◽  
Line Interference

In the acquisition process of ECG, noise, which mainly consists of power line interference baseline drift and the EMG interference, often exists due to the instrument, the human body and other aspects. This noise mixed with the ECG, will causes ECG distortion, which makes the whole ECG waveform blurred, and impacts the subsequent signal processing and analysis. In this paper, Coif4 wavelet is used to make the ECG decomposed by 8 scale; at the same time, the wavelet decomposition and reconstruction method is used to remove baseline drift, and then the improved wavelet threshold method is used to remove power line interference and the EMG interference waveform to obtain accurate geocentric, providing a more accurate basis for the medical diagnosis.

Elimination of Power Line Interference in ECG Signal Using Adaptive Filter, Notch Filter and Discrete Wavelet Transform Techniques

2019 ◽  
Vol 8 (1) ◽  
pp. 32-56 ◽  
Author(s):  
Srinivasa M.G. ◽  
Pandian P.S.
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Notch Filter ◽  
Power Line ◽  
Motion Artifacts ◽  
Discrete Wavelet ◽  
Ecg Signal ◽  
Power Line Interference ◽  
Non Stationary Signal ◽  
Line Interference

An ECG is a biomedical non-stationary signal, which contains valuable information about the electrical activity of the heart. The ECG is very sensitive and a weak signal, hence, it gets corrupted by various types of noise such as power line interference, baseline wander, motion artifacts, muscle contractions, electrode contact noise, etc., that may lead to a misdiagnosis. Among these noise parameters the power line interference is very crucial because noise falls in the ECG bandwidth, i.e. 0.05 Hz to 100 Hz. The article proposes the removal of power line interference (PLI) noise in an ECG signal based on discrete wavelet transform (DWT) and adaptive filtering techniques. The results are compared with the existing notch filter both in time and frequency domain by filter performance parameters like ESD, MSE %PSD and SNR.

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