Literature DB >> 24829224

Novel algorithmic methods in mapping of atrial and ventricular tachycardia.

Milad El Haddad1, Richard Houben2, Roland Stroobandt2, Frederic Van Heuverswyn2, Rene Tavernier2, Mattias Duytschaever2.   

Abstract

BACKGROUND: Conventional methods to assess local activation time (LAT) detect the peak of the bipolar electrogram (B-LATPeak) or the maximal negative slope of the unipolar electrogram (U-LATSlope). We evaluated 3 novel methods to assess LAT: onset (B-LATOnset) and center of mass (B-LATCoM) of bipolar electrogram, and maximal negative slope of unipolar electrogram within a predefined bipolar window (U-LATSlope-hybrid). METHODS AND
RESULTS: In 1753 atrial tachycardia and 1426 ventricular tachycardia recordings, the performance of the methods in detecting LAT was evaluated pair-wise (eg, B-LATPeak versus B-LATOnset). For each comparison, histogram analysis of the differences in LAT values was performed. Variation in differences (P95-P5) in low quality (LQ) was compared with high-quality electrograms. In a separate data set (12 atrial tachycardia and 10 ventricular tachycardia), we evaluated for each method the accuracy in algorithmic activation mapping. Both in atrial tachycardia and ventricular tachycardia, the variation in difference between the conventional and novel methods was larger in LQ electrograms. In contrast, variation in difference between the novel methods was comparable in LQ and high-quality electrograms. Except for LATSlope-hybrid, all methods showed decreased mapping accuracy with increasing percentage of LQ electrograms. U-LATSlope-hybrid accurately mapped activation in 16 out of 22 maps (versus B-LATCoM, 14; B-LATPeak, 14; B-LATOnset, 13; U-LATSlope, 4).
CONCLUSIONS: In LQ atrial and ventricular electrograms, the novel LAT methods (B-LATOnset, B-LATCoM, and U-LATSlope-hybrid) show less variation than the conventional methods. The U-LATSlope-hybrid, a hybrid method that accurately detects the maximal negative unipolar slope, is associated with the highest accuracy in algorithmic mapping of atrial tachycardia/ventricular tachycardia.
© 2014 American Heart Association, Inc.

Entities:  

Keywords:  catheter ablation; digital signal processing; intracardiac electrogram; tachycardia

Mesh:

Year:  2014        PMID: 24829224     DOI: 10.1161/CIRCEP.113.000833

Source DB:  PubMed          Journal:  Circ Arrhythm Electrophysiol        ISSN: 1941-3084


  4 in total

1.  Utility of a ripple map for the interpretation of atrial propagation during atrial tachycardia.

Authors:  Atsuhiko Yagishita; Yoshihide Takahashi; Mihoko Kawabata; Masakazu Kaneko; Masahiro Sekigawa; Tasuku Yamamoto; Kikou Akiyoshi; Yasuhiro Shirai; Shingo Maeda; Shu Yamashita; Masahito Suzuki; Takeshi Sasaki; Masahiko Goya; Kenzo Hirao
Journal:  J Interv Card Electrophysiol       Date:  2019-10-25       Impact factor: 1.900

2.  OpenEP: A Cross-Platform Electroanatomic Mapping Data Format and Analysis Platform for Electrophysiology Research.

Authors:  Steven E Williams; Caroline H Roney; Adam Connolly; Iain Sim; John Whitaker; Daniel O'Hare; Irum Kotadia; Louisa O'Neill; Cesare Corrado; Martin Bishop; Steven A Niederer; Matt Wright; Mark O'Neill; Nick W F Linton
Journal:  Front Physiol       Date:  2021-02-26       Impact factor: 4.566

Review 3.  Electrogram recording and analyzing techniques to optimize selection of target sites for ablation of cardiac arrhythmias.

Authors:  Jacques Mt de Bakker
Journal:  Pacing Clin Electrophysiol       Date:  2019-11-18       Impact factor: 1.976

4.  Rotational Activation Pattern During Functional Substrate Mapping: Novel Target for Catheter Ablation of Scar-Related Ventricular Tachycardia.

Authors:  Masayuki Hattori; Yuki Komatsu; Qasim J Naeemah; Yuichi Hanaki; Noboru Ichihara; Chihiro Ota; Takeshi Machino; Kenji Kuroki; Hiro Yamasaki; Miyako Igarashi; Kazutaka Aonuma; Akihiko Nogami; Masaki Ieda
Journal:  Circ Arrhythm Electrophysiol       Date:  2021-12-23
  4 in total

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