[Filtering method of power frequency interference in ECG signals].

Area of Science:

• Biomedical Engineering
• Signal Processing
• Cardiology

Background:

• Electrocardiogram (ECG) signals are prone to 50 Hz power frequency interference during acquisition and conversion.
• This interference can degrade signal quality, potentially affecting diagnostic accuracy.
• Existing filtering methods may struggle to remove this specific noise while preserving crucial ECG waveform details.

Purpose of the Study:

• To develop and evaluate an improved Levkov algorithm for effective 50 Hz power frequency noise removal in ECG signals.
• To compare the performance of the improved algorithm against the original Levkov algorithm.
• To assess the algorithm's ability to maintain ECG signal integrity and diagnostic information.

Main Methods:

• An improved Levkov algorithm was proposed, incorporating sine wave antisymmetry and amplitude stability characteristics.
• The improved algorithm was experimentally compared with the original Levkov algorithm.
• Performance was evaluated using metrics such as signal-to-noise ratio (SNR), root mean square error (RMSE), and signal coincidence.

Main Results:

• The improved Levkov algorithm demonstrated superior filtering performance.
• Higher signal-to-noise ratio (SNR) and lower root mean square error (RMSE) were achieved with the improved method.
• The enhanced algorithm showed a high degree of coincidence with the original ECG signal, preserving important waveform details.

Conclusions:

• The improved Levkov algorithm offers enhanced filtering capabilities for removing 50 Hz power frequency interference from ECG signals.
• The algorithm effectively removes noise while retaining critical ECG signal characteristics and details.
• This advancement holds promise for improving the accuracy and reliability of ECG-based diagnostics.