ECG Signal Denoising using Wavelet Thresholding Method

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Preeti Rathee
Pooja Sabharwal, Dr.Latika Singh

Abstract

Electrocardiogram (ECG) plays a very important role in diagnosis of various cardiac disorders as it represents the electrical activity of heart. ECG signal consist of P-QRS-T waves. ECG signal classification helps in cardiac diseases detection. Features are extracted from ECG signal like amplitude of signal, R-R interval, QRS complex etc. for ECG classification. ECG signal is highly affected by noise . The noise present in ECG signal can be of any type like baseline wandering, power line interface, high frequency noise etc. To find normal and abnormal signal it is necessary to first denoised the signal. Various research and techniques have been developed for ECG signal denoising. This paper discuss about the techniques proposed earlier in literature for denoising and the wavelet method with soft thresholding technique to denoise the signal.

 

Keywords- ECG (Electrocardiograph), Discrete Wavelet Transform, Thresholding, Baseline Wandering, Power Line Interference.

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