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

  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},
  volume={28 8},
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… 

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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
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