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Influence of Normalization on the Analysis of Electroanatomical Maps with Manifold Harmonics

  • Margarita Sanromán-JunqueraEmail author
  • Inmaculada Mora-Jiménez
  • Arcadio García-Alberola
  • Antonio Caamaño-Fernández
  • José Luis Rojo-Álvarez
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9656)

Abstract

Electrical and anatomical maps (EAM) are built by cardiac navigation systems (CNS) and by Electrocardiographic Imaging systems for supporting arrhythmia ablation during electrophysiological procedures. Manifold Harmonics Analysis (MHA) has been proposed for analyzing the spectral properties of EAM of voltages and times in CNS by using a representation of the EAM supported by the anatomical mesh. MHA decomposes the EAM in a set of basis functions and coefficients which allow to conveniently reconstruct the EAM. In this work, we addressed the effect of normalization of the mesh spatial coordinates and the bioelectrical feature on the EAM decomposition for identifying regions with strong variation on the feature. For this purpose, a simulated EAM with three foci in a ventricular and in an atrial tachycardia was used. These foci were located at different distances amongst themselves, and different voltages were also considered. Our experiments show that it is possible to identify the foci origin by considering the first 3–5 projections only when normalization was considered, both for atrial and ventricular EAM. In this case, better quality in the EAM reconstruction was also obtained when using less basis functions. Hence, we conclude that normalization can help to identify regions with strong feature variation in the first stages of the EAM reconstruction.

Keywords

Cardiac navigation system Electroanatomical maps Manifold harmonics Normalization Reconstruction Regionalization Focal tachycardia location Electrophysiological study 

Notes

Acknowledgments

This work was supported in part by the Spanish Government with Research Projects TEC2013-48439-C4-1-R and TSI-020100-2010-0469.

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Copyright information

© Springer International Publishing Switzerland 2016

Authors and Affiliations

  • Margarita Sanromán-Junquera
    • 1
    Email author
  • Inmaculada Mora-Jiménez
    • 1
  • Arcadio García-Alberola
    • 2
  • Antonio Caamaño-Fernández
    • 1
  • José Luis Rojo-Álvarez
    • 1
  1. 1.Department of Signal Theory and Communications, Telematics and ComputingRey Juan Carlos UniversityMadridSpain
  2. 2.Arrhythmia UnitHospital Universitario Virgen de la ArrixacaMurciaSpain

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