Cycle Length Estimation Using Accurate Adaptive Detection of Local Activations in Atrial Intracardiac Electrograms

The normal electrical potential propagates throughout the atria periodically.During atrial arrhythmias its propagation is modified because the substrate is not homogeneous and new sources of punctual electrical activity appear.The periodic behavior of activation remains predominant, but becomes local in different parts of the atria.It is characterized by cycle length (CL) which measures the frequency of activation and can be computed from intracardiac bipolar electrograms (EGM) recorded by a mapping catheter during the catheter ablation procedure.The CL value of different mapped zones is an extremely important resource for physicians when performing persistent Atrial Fibrillation (AF) ablation because it helps to identify pathological zones and define the ablation strategy.Thus, a reliable estimation of the CL of atrial tissue is essential.The complexity of this task stems from the large variability in EGM morphology influenced by multiple wavefronts, fragmentation and added noise.In this work, we propose a cycle length estimator that can process the complex mapping signals recorded during atrial arrhythmias ablation and reliably provide the frequency of their periodic activity.