Removing ventricular far-field signals in intracardiac electrograms during stable atrial tachycardia using the
Tobias Georg Oesterlein1, Gustavo Lenis1, Dan-Timon Rudolph1
1Institute of Biomedical Engineering, Karlsruhe Institute of Technology (KIT), Kaiser Str. 12, Karlsruhe, Germany.
Insights
Periodic Component Analysis (πCA) effectively removes ventricular far-fields (VFF) obscuring atrial activity (AA) in intracardiac electrograms. This new technique outperforms Principal Component Analysis (PCA) for diagnosing supraventricular arrhythmias.
Area of Science:
- Cardiology
- Biomedical Signal Processing
- Medical Diagnostics
Background:
- Intracardiac electrograms are crucial for diagnosing supraventricular arrhythmias.
- Atrial activity (AA) can be obscured by ventricular far-fields (VFF).
- Principal Component Analysis (PCA) struggles with VFF removal during stable conduction atrial tachycardia.
Purpose of the Study:
- To introduce and evaluate a new technique, Periodic Component Analysis (πCA), for removing VFF from intracardiac electrograms.
- To benchmark πCA against PCA for VFF removal.
- To assess the impact of atrial cycle length stability on VFF removal efficacy.
Main Methods:
- Generated a database of realistic electrograms with AA and VFF.
- Implemented and benchmarked both PCA and πCA.
- Applied both techniques to simulated and clinical electrogram data.
Main Results:
- πCA successfully retained AA morphology with high correlation (0.98±0.01) for stable atrial cycle length.
- PCA performance was poor (0.03±0.08) during temporal coupling but improved with conduction variability (0.77±0.14).
- Stable atrial cycle length was identified as critical for πCA application, confirmed in clinical data.
Conclusions:
- πCA is a powerful new technique for artifact removal in periodic signals like electrograms.
- πCA demonstrates superior performance over PCA for VFF removal in specific conditions.
- The study validates πCA's efficacy using simulated and clinical data.
Background:
Intracardiac electrograms are an indispensable part during diagnosis of supraventricular arrhythmias, but atrial activity (AA) can be obscured by ventricular far-fields (VFF). Concepts based on statistical independence like principal component analysis (PCA) cannot be applied for VFF removal during atrial tachycardia with stable conduction.
Methods:
A database of realistic electrograms containing AA and VFF was generated. Both PCA and the new technique periodic component analysis (πCA) were implemented, benchmarked, and applied to clinical data.
Results:
The concept of πCA was successfully verified to retain compromised AA morphology, showing high correlation (cc=0.98±0.01) for stable atrial cycle length (ACL). Performance of PCA failed during temporal coupling (cc=0.03±0.08) but improved for increasing conduction variability (cc=0.77±0.14). Stability of ACL was identified as a critical parameter for πCA application. Analysis of clinical data confirmed these findings.
Conclusion:
πCA is introduced as a powerful new technique for artifact removal in periodic signals. Its concept and performance were benchmarked against PCA using simulated data and demonstrated on measured electrograms.
Related Concept Videos
01:25ECG Interpretation of Arrhythmias II: Atrial, Junctional and Ventricular Arrhythmias
01:29Dysrhythmias III: Characteristics of Dysrhythmias
01:30Cardiac Action Potential
The cardiac action potential process involves a series of phases characterized by the movement of ions across the cardiac cell membranes, leading to the depolarization and repolarization of the cardiac myocytes.
Ionic Basis of Cardiac Action Potentials
01:19Electrophysiology of Normal Cardiac Rhythm
01:29Disturbances in Heart Rhythm
Arrhythmias are categorized by their speed, rhythm, and origin. A slow heart...
01:25Correlation between ECG and Cardiac Cycle
A cardiac action potential originates in the SA node and spreads throughout the atria and the AV node in approximately 0.03 seconds. This results in the P wave in an ECG and triggers atrial contraction. The action potential is then briefly slowed at the AV node, allowing the atria to contract and fill the ventricles with blood before...