Literature DB >> 16191117

Wave similarity mapping shows the spatiotemporal distribution of fibrillatory wave complexity in the human right atrium during paroxysmal and chronic atrial fibrillation.

Flavia Ravelli1, Luca Faes, Luca Sandrini, Fiorenzo Gaita, Renzo Antolini, Marco Scaglione, Giandomenico Nollo.   

Abstract

INTRODUCTION: The complexity of waveforms during atrial fibrillation may reflect critical activation patterns for the arrhythmia perpetuation. In this study, we introduce a novel concept of map, based on the analysis of the wave morphology, which gives a direct evidence in the human right atrium on the spatiotemporal distribution of fibrillatory wave complexity in paroxysmal (PAF) and chronic (CAF) atrial fibrillation. METHODS AND
RESULTS: Electrograms were recorded from a 64-electrode catheter in the right atrium of 15 patients during PAF (n = 8) and CAF (n = 7). Wave similarity maps were constructed by calculating the degree of morphological similarity of activation waves (S) at each atrial site and by following its temporal evolution. During PAF the spatiotemporal distribution of the waveforms was highly consistent across the subjects and was determined by the anatomic location. Wave similarity maps showed the existence of an extended area with low similarity index, which covered the low posteroseptal atrium (S = 0.28 +/- 0.09) and the septal region (S = 0.22 +/- 0.04), and the presence of a large tongue with high similarity index, which penetrated the lateral wall (S = 0.55 +/- 0.08) starting from the high anterolateral atrium (S = 0.54 +/- 0.06). A completely different spatiotemporal pattern was seen during CAF. No distinct regions with different similarity indexes were recognized, but a uniformly distributed low similarity index (S = 0.27 +/- 0.07) was found. The spatial pattern was highly stable in time with fluctuations of S < 0.04.
CONCLUSION: Quantification of the spatiotemporal distribution of fibrillatory wave complexity is feasible in humans by wave similarity mapping. Anatomic anchoring of waveforms during PAF and pattern destruction during CAF was determined.

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Year:  2005        PMID: 16191117     DOI: 10.1111/j.1540-8167.2005.50008.x

Source DB:  PubMed          Journal:  J Cardiovasc Electrophysiol        ISSN: 1045-3873


  5 in total

1.  Clinical mapping approach to diagnose electrical rotors and focal impulse sources for human atrial fibrillation.

Authors:  Sanjiv M Narayan; David E Krummen; Wouter-Jan Rappel
Journal:  J Cardiovasc Electrophysiol       Date:  2012-04-26

Review 2.  Temporal and Spatial Indices of AF Regularization Predict Intraprocedural AF Termination and Outcome.

Authors:  Tina Baykaner; David E Krummen; Sanjiv M Narayan
Journal:  J Atr Fibrillation       Date:  2012-04-14

3.  Locating Atrial Fibrillation Rotor and Focal Sources Using Iterative Navigation of Multipole Diagnostic Catheters.

Authors:  Prasanth Ganesan; Elizabeth M Cherry; David T Huang; Arkady M Pertsov; Behnaz Ghoraani
Journal:  Cardiovasc Eng Technol       Date:  2019-04-15       Impact factor: 2.495

4.  Evaluation and optimization of novel extraction algorithms for the automatic detection of atrial activations recorded within the pulmonary veins during atrial fibrillation.

Authors:  Yann Prudat; Adrian Luca; Sasan Yazdani; Nicolas Derval; Pierre Jaïs; Laurent Roten; Benjamin Berte; Etienne Pruvot; Jean-Marc Vesin; Patrizio Pascale
Journal:  BMC Med Inform Decis Mak       Date:  2022-08-28       Impact factor: 3.298

5.  Temporal irregularity quantification and mapping of optical action potentials using wave morphology similarity.

Authors:  Christopher O'Shea; James Winter; Andrew P Holmes; Daniel M Johnson; Joao N Correia; Paulus Kirchhof; Larissa Fabritz; Kashif Rajpoot; Davor Pavlovic
Journal:  Prog Biophys Mol Biol       Date:  2019-12-30       Impact factor: 3.667

  5 in total

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