[An adaptive filtering algorithm applied to inhibit the interference from the ventricular during atrial epicardial...

Area of Science:

• Biomedical Engineering
• Cardiovascular Physiology

Context:

• Atrial epicardial mapping is crucial for understanding cardiac arrhythmias.
• Ventricular signals can significantly interfere with accurate atrial electrophysiological recordings.
• Existing filtering methods may not adequately address complex interference patterns.

Purpose:

• To develop and validate an adaptive filtering algorithm for real-time suppression of ventricular interference.
• To improve the signal-to-noise ratio in atrial epicardial mapping data.
• To enhance the precision of electrophysiological measurements during cardiac mapping.

Summary:

• An adaptive filtering algorithm, grounded in the Least Mean Squares (LMS) principle, is introduced.
• The algorithm effectively inhibits ventricular interference encountered in atrial epicardial mapping.
• Demonstrated efficacy in improving signal clarity for electrophysiological analysis.

Impact:

• Facilitates more accurate diagnosis and understanding of atrial arrhythmias.
• Provides a robust tool for researchers and clinicians in cardiac electrophysiology.
• Potential to improve therapeutic strategies by enabling clearer mapping data.