[Removal Algorithm of Power Line Interference in Electrocardiogram Based on Morphological Component Analysis and...

Area of Science:

• Biomedical Engineering
• Signal Processing

Background:

• Electrocardiogram (ECG) signals are prone to 50 Hz power line interference (PLI) during acquisition.
• PLI can distort ECG morphology and affect diagnostic accuracy.

Purpose of the Study:

• To develop and evaluate a novel algorithm for effective PLI removal from ECG signals.
• To compare the proposed algorithm's performance against existing methods.

Main Methods:

• Morphological Component Analysis (MCA) for signal decomposition into morphological components.
• Ensemble Empirical Mode Decomposition (EEMD) for filtering intrinsic mode functions (IMFs) of PLI.
• Reconstruction of the denoised ECG signal.

Main Results:

• The proposed MCA-EEMD algorithm effectively filters PLI from ECG signals.
• The algorithm demonstrated superior performance compared to the improved Levkov algorithm.
• Lower Signal Distortion Ratio (SDR) values were achieved, indicating better signal preservation.

Conclusions:

• The novel MCA-EEMD algorithm offers an effective solution for power line interference removal in ECG signals.
• This method achieves high noise suppression rates while minimizing signal distortion.
• The proposed algorithm is a promising tool for improving ECG signal quality in clinical settings.