Power Line Interference Removal from ECG Signal Using Notch Filter, Adaptive Filter and Wavelet Packet Transform

Uzzal Biswas


ECG signal is a biological non-stationary signal which contains valuable information about rhythms of heart. Amplitude and duration of ECG signal can be buried by various types of noise, especially, power line interference, which sometimes leads to misdiagnosis. This paper presents a ECG signal denoising based on the wavelet packet transform and two adaptive filters, such as, normalized least-mean-square (NLMS) and recursive-least-square (RLS), and the results are compared with a conventional notch filter both in time and frequency domain. The results are evaluated by examining power spectral density (PSD), spectrogram and magnitude squared coherence (MSC) analyses. SNR, %PRD, MSE and ESD performance parameter are also estimated. The simulation is done by using Signal Processing Toolbox built in MATLAB® and, the simulation result shows that wavelet packet transform is an excellent method for denoising the ECG signal.

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