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Updated: May 25, 2026
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Denoising and harmonic artifacts rejection for ECG P-waves by quadratic variation reduction
Summary
This study introduces a new algorithm to effectively denoise electrocardiogram (ECG) P-waves and remove harmonic artifacts, improving atrial fibrillation (AF) analysis for real-time applications.
Area of Science:
- Biomedical Engineering
- Cardiology
- Signal Processing
Background:
- Atrial fibrillation (AF) is a prevalent cardiac arrhythmia.
- P-wave analysis from ECG signals aids in understanding AF predisposing factors.
- Existing denoising methods struggle with harmonic artifacts like power-line interference.
Purpose of the Study:
- To develop an algorithm for simultaneous denoising and harmonic artifact rejection in ECG P-waves.
- To extend previous quadratic variation reduction methods for enhanced P-wave analysis.
- To create a computationally efficient algorithm suitable for real-time applications.
Main Methods:
- Proposed a novel algorithm building upon quadratic variation reduction.
- Algorithm designed to address both random noise and specific harmonic artifacts.
- Evaluated through simulation to confirm effectiveness.
Main Results:
- The algorithm effectively denoises P-waves and rejects harmonic artifacts.
- Demonstrated superior performance compared to previous methods in artifact removal.
- Achieved reduced computational complexity for real-time suitability.
Conclusions:
- The developed algorithm offers a robust solution for P-wave signal processing in AF analysis.
- It successfully removes both noise and harmonic interference, enhancing diagnostic accuracy.
- Its efficiency makes it a valuable tool for real-time cardiac monitoring.
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