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Relationship Between Cardiac Electrical and Mechanical Activation Markers by Coupling Bidomain and Deformation Models

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Functional Imaging and Modeling of the Heart (FIMH 2015)

Part of the book series: Lecture Notes in Computer Science ((LNIP,volume 9126))

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Abstract

The aim of this study is to simulate the electromechanical behavior of a cardiac wedge following an endo- or epicardial stimulation, and to study different markers of mechanical contraction times. We investigate how tissue anisotropy affects the performance of the mechanical markers and we evaluate their delay distributions with respect to the electrical activation time. The main results of this study show that: the electrical and mechanical activation sequences are very well correlated; the electromechanical delay displays heterogeneous distributions even if the electrical and mechanical cellular properties are assumed homogeneous; the electromechanical delay is larger in the regions where depolarization proceeds along fiber than across fiber.

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Authors and Affiliations

  1. Dipartimento di Matematica, Istituto di Matematica Applicata e Tecnologie Informatiche, Università di Pavia and IMATI-CNR, Via Ferrata 1, 27100, Pavia, Italy

    Piero Colli-Franzone

  2. Dipartimento di Matematica, Università di Milano, Via Saldini 50, 20133, Milano, Italy

    Luca F. Pavarino & Simone Scacchi

Authors
  1. Piero Colli-Franzone
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  2. Luca F. Pavarino
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  3. Simone Scacchi
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Corresponding author

Correspondence to Luca F. Pavarino .

Editor information

Editors and Affiliations

  1. Eindhoven University of Technology, Eindhoven, The Netherlands

    Hans van Assen

  2. Eindhoven University of Technology, Eindhoven, The Netherlands

    Peter Bovendeerd

  3. Maastricht University, Maastricht, The Netherlands

    Tammo Delhaas

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Colli-Franzone, P., Pavarino, L.F., Scacchi, S. (2015). Relationship Between Cardiac Electrical and Mechanical Activation Markers by Coupling Bidomain and Deformation Models. In: van Assen, H., Bovendeerd, P., Delhaas, T. (eds) Functional Imaging and Modeling of the Heart. FIMH 2015. Lecture Notes in Computer Science(), vol 9126. Springer, Cham. https://doi.org/10.1007/978-3-319-20309-6_35

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  • DOI: https://doi.org/10.1007/978-3-319-20309-6_35

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-319-20308-9

  • Online ISBN: 978-3-319-20309-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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