Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis.

@article{Almeida2018CharacterizationOH,
  title={Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis.},
  author={Tiago Paggi de Almeida and Fernando Soares Schlindwein and Jo{\~a}o Loures Salinet and Xin Li and Gavin S. Chu and Jiun H. Tuan and Peter J. Stafford and G Andr{\'e} Ng and Diogo Coutinho Soriano},
  journal={Chaos},
  year={2018},
  volume={28 8},
  pages={
          085710
        }
}
Atrial fibrillation (AF) is regarded as a complex arrhythmia, with one or more co-existing mechanisms, resulting in an intricate structure of atrial activations. Fractionated atrial electrograms (AEGs) were thought to represent arrhythmogenic tissue and hence have been suggested as targets for radiofrequency ablation. However, current methods for ablation target identification have resulted in suboptimal outcomes for persistent AF (persAF) treatment, possibly due to the complex spatiotemporal… 

Tables from this paper

Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup*
  • T. Almeida, L. Unger, A. Loewe
  • Physics
    2019 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC)
  • 2019
TLDR
RQA has unveiled distinct dynamic patterns–irrespective of AEGs classification–related to regularity structures and their nonstationary behaviour in a rigorous deterministic context, and suggests the co-existence of normal and fractionated A EGs within long-standing rotors.
Unsupervised Classification of Atrial Electrograms for Electroanatomic Mapping of Human Persistent Atrial Fibrillation
TLDR
The results expand and reinterpret the criteria used for automated AEG classification and highlighted electrophysiological differences among the five classes found by the k-means, which could provide a more complete characterization of persAF substrate during ablation target identification in future clinical studies.
Recurrence Quantification Analysis for Investigating Atrial Fibrillation Dynamics in a Heterogeneous Simulation Setup<sup></sup>
The outcomes of ablation targeting either reentry activations or fractionated activity during persistent atrial fibrillation (AF) therapy remain suboptimal due to, among others, the intricate
The temporal stability of recurrence quantification analysis attributes from chronic atrial fibrillation electrograms
TLDR
The RQA variables have been shown effective in the characterization of AEGs collected during persAF with a shorter duration than current recommendations, which motivates their use for the characterized of atrial substrate during pers AF ablation.
Spatial Relationship Between Atrial Fibrillation Drivers and the Presence of Repetitive Conduction Patterns Using Recurrence Analysis on In-Silico Models
TLDR
Results indicate that recurrences are found in the area adjacent to the sources but not on the sources themselves, thus suggesting that recurrence analysis could contribute to guide ablation therapy.
Non-Invasive Characterization of Atrial Flutter Mechanisms Using Recurrence Quantification Analysis on the ECG: A Computational Study
TLDR
RQA has been shown an effective method to distinguish different AFl electrophysiological mechanisms in a non-invasive computational framework, helping to delineate the ablation strategy, reducing time and resources required to conduct invasive cardiac mapping and ablation procedures.
Entropy Mapping Approach for Functional Reentry Detection in Atrial Fibrillation: An In-Silico Study
TLDR
This work aims to characterize functional reentries using measures of entropy to track and detect a reentry core of rotors and figure-of-eight reentry, while the ShEn results are not satisfactory.
Unsupervised classification of dimension-reduced principal component scores from persistent atrial fibrillation electrograms
TLDR
The six clusters of AEGs found in this work are in line with recent findings, highlighting the complex pathophysiology of pers AF and could provide a more complete characterization of persAF substrate during ablation target identification in future clinical studies.
Body-Surface Atrial Vector Similarity as a New Way to Investigate Atrial Fibrillation Propagation Dynamics
TLDR
The amount of slow phases is positively correlated with a higher long-term recurrent behavior of the atrial propagation patterns, which seems to indicate that atrial vectors may provide a new way to noninvasively investigate atrial fibrillation dynamics.
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