scholarly journals Characterization of human persistent atrial fibrillation electrograms using recurrence quantification analysis

2018 ◽  
Vol 28 (8) ◽  
pp. 085710 ◽  
Author(s):  
Tiago P. Almeida ◽  
Fernando S. Schlindwein ◽  
João Salinet ◽  
Xin Li ◽  
Gavin S. Chu ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Persistent Atrial Fibrillation ◽  
Recurrence Quantification Analysis ◽  
Recurrence Quantification ◽  
Quantification Analysis

Abstract 18637: Recurrence Quantification Analysis to Distinguish Active From Passive Mechanisms of CFAEs During Catheter Ablation of Atrial Fibrillation

Circulation ◽  
2015 ◽  
Vol 132 (suppl_3) ◽  
Author(s):  
Alex Baher ◽  
Anil K Gehi ◽  
Prabhat Kumar ◽  
Eugene Chung ◽  
Benjamin H Buck ◽  
...  
Keyword(s):  
Atrial Fibrillation ◽  
Catheter Ablation ◽  
Recurrence Quantification Analysis ◽  
Slow Conduction ◽  
Recurrence Quantification ◽  
Quantification Analysis ◽  
Mean Cycle ◽  
Recurrent Patterns ◽  
Wave Break ◽  
Complex Fractionated Atrial Electrograms

Background: Ablation of complex fractionated atrial electrograms (CFAEs) is controversial, primarily because of difficulty in visually distinguishing CFAEs representing an active site of driver activity from a passive site of double potentials, wave break, and/or slow conduction. We hypothesized that CFAEs within rotors in atrial fibrillation (AF) would exhibit highly recurrent behavior compared with CFAEs remote from these driver regions. Methods: Active and passive mechanisms of CFAE formation were simulated in several 2D 7.5 x 7.5 cm modified Luo-Rudy 1 models. CFAEs within areas of rotors were considered active, while those caused by wave break, slow conduction or double potentials remote from rotors were considered passive. Clinical signals were also collected during catheter ablation of paroxysmal AF (n=8 patients). An active driver CFAE site was defined by termination of AF with ablation followed by non-inducibility. A passive site was defined as CFAE occurring remotely. Detection of CFAEs was based on mean cycle length (MCL) calculated from 4 second windows using -dV/dt for detection (40ms refractory period/10ms maximum EGM width for simulations; 45ms/15ms respectively for clinical signals). Recurrence quantification analysis (RQA) was performed on discrete time series of simulated and clinical CFAE activations. Results: RQA was performed on 20 simulated EGMs. MCL was similar in both active and passive CFAEs (74±11ms and 78±6ms respectively, p=NS), but recurrence was significantly higher in active compared to passive sites (%recurrence: 61±22% active, 4±6% passive, p<0.01). In patients with AF, the driver sites were all located within the pulmonary vein antra while passive CFAEs were remote. The MCL of CFAEs at active driver sites was similar to that of passive sites (100±13ms active, 98±17ms passive, p=NS), but recurrence was significantly higher in the active driver sites (%recurrence: 18±15% active, 2±1% passive, p=0.02). Conclusion: CFAEs may occur due to either active or passive mechanisms. Sites within rotors or focal drivers of AF are more likely to exhibit recurrent patterns. RQA may be a powerful tool to differentiate driver from bystander CFAEs enabling more efficient targeting for ablation.

scholarly journals Recurrence quantification analysis as a tool for characterization of molecular dynamics simulations

1999 ◽  
Vol 59 (1) ◽  
pp. 992-998 ◽  
Author(s):  
Cesare Manetti ◽  
Marc-Antoine Ceruso ◽  
Alessandro Giuliani ◽  
Charles L. Webber ◽  
Joseph P. Zbilut
Keyword(s):  
Molecular Dynamics ◽  
Molecular Dynamics Simulations ◽  
Recurrence Quantification Analysis ◽  
Recurrence Quantification ◽  
Quantification Analysis ◽  
Dynamics Simulations

scholarly journals Characterization of HILDCAA events using Recurrence Quantification Analysis

2016 ◽  
Author(s):  
Odim Mendes ◽  
Margarete Oliveira Domingues ◽  
Ezequiel Echer ◽  
Rajkumar Hajra ◽  
Varlei Everton Menconi
Keyword(s):  
Recurrence Quantification Analysis ◽  
Analysis Method ◽  
Dynamical Characteristics ◽  
Auroral Activity ◽  
Long Duration ◽  
Recurrence Quantification ◽  
Potential Applicability ◽  
Quantification Analysis

Abstract. Taking into account the primary mechanisms for transfer particles and energy into the magnetosphere, we have studied the dynamical characteristics of High-Intensity Long-Duration Continuous Auroral Activity (HILDCAA) events using a long-term geomagnetic database (1975–2012). The Recurrence Quantification Analysis method was applied on the auroral electrojet indices during HILDCAA events to characterize their dynamics. After, we compared those results with the ones obtained for geomagnetically quiet periods when there was no appreciable auroral activity. As result, the quantification allowed to find specific characteristics of these two distinct regimes. The HILDCAA events can be described as unique processes responsible for complex transfers of energy and particles from the solar wind plasmas into the magnetosphere-ionosphere system. We also suggest that the scenario of these processes is related to concurrent magnetospheric mechanisms (magnetic reconnection and viscous interaction). At last, we reinforce the potential applicability of the RQA method for characterization of various nonlinear geomagnetic processes related to these phenomenology.

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