Novel Quantitative Analytical Approaches for Rotor Identification and Associated Implications for Mapping.

Area of Science:

• Cardiac Electrophysiology
• Computational Biology
• Medical Signal Processing

Background:

• Identifying the precise location of rotors is crucial for effective ablation in cardiac arrhythmias.
• Current analysis techniques for rotor identification yield inconsistent clinical results.
• Novel signal processing methods are needed to improve rotor localization accuracy.

Purpose of the Study:

• To evaluate four novel signal analysis approaches: multiscale frequency (MSF), Shannon entropy (SE), Kurtosis (Kt), and multiscale entropy (MSE).
• To assess the ability of these techniques to accurately identify the pivot points of cardiac rotors.
• To determine the robustness of these methods under simulated clinical limitations.

Main Methods:

• Utilized optical mapping movies of ventricular tachycardia for technique evaluation.
• Assessed performance against decreased time duration, reduced spatial resolution, and meandering rotors.
• Compared technique results against "true" rotor locations identified via phase maps.

Main Results:

• MSF, Kt, and MSE accurately identified both stationary and meandering rotors.
• These techniques maintained accuracy despite shortened electrogram duration and decreased spatial resolution.
• SE performance was significantly impacted by artifacts, unlike MSF, Kt, and MSE.

Conclusions:

• MSF, Kt, and MSE demonstrate potential for accurate rotor mapping in cardiac arrhythmias.
• Further validation with intracardiac electrograms is warranted for clinical application.
• These advanced techniques could enhance arrhythmia characterization and guide rotor ablation strategies.