What does this research mean for the field?

In computational cardiac modeling, the choice of passive material model significantly alters mechano-electrical feedback behavior, with incompressible models preventing full repolarization and exponential laws producing the strongest feedback effects. Novelty: ClaimNovelty.INCREMENTAL. Consensus alignment: ConsensusAlignment.NEUTRAL.

September 24, 2019Frontiers in PhysiologyOpen Access

Interaction of the Mechano-Electrical Feedback With Passive Mechanical Models on a 3D Rat Left Ventricle: A Computational Study

View Full Paper

Ask AI

Bookmark

Why the study?

The interaction between different passive material models and mechano-electrical feedback in cardiac modeling remains to be fully clarified.

Population

Computational model based on a 3D geometry of a healthy rat left ventricle reconstructed from MRI

Comparison

Various types of passive mechanical laws integrated into a fully coupled electromechanical model

Design

Computational simulation study

Authors

MDMinh Tuấn Dương DHDavid Holz MAMuhannad Alkassar

Discussion

Member takes

Overview

Modelers should verify compressibility to avoid repolarization artifacts; leaves open MEF effects under realistic compressible conditions.

Structured PICO

Population

Computational model based on a three-dimensional (3D) geometry of a healthy rat left ventricle reconstructed from magnetic resonance imaging (MRI)

Intervention

Integration of various types of passive mechanical laws (nearly incompressible/compressible, polynomial/exponential-type, transversally isotropic/orthotropic material models) in a fully coupled electromechanical model

Comparator

Comparison between different passive material models (e.g., compressible vs. incompressible, polynomial vs. exponential)

Outcome

Influence of passive material models on the overall mechano-electrical feedback (MEF) behavior, including transmembrane potential and relaxation deformationssurrogate

The choice of passive material model, particularly compressibility and exponential laws, significantly impacts the simulated mechano-electrical feedback in computational cardiac models.

Cite This Study

Dương et al. (2019) studied this question.

synapsesocial.com/papers/6a1bfd6cc97d63156a5f2fe7 https://doi.org/10.3389/fphys.2019.01041

View Full Paper

Ask AI

Bookmark

September 24, 2019Frontiers in PhysiologyOpen Access

Interaction of the Mechano-Electrical Feedback With Passive Mechanical Models on a 3D Rat Left Ventricle: A Computational Study

View Full Paper

Ask AI

Bookmark

Why the study?

The interaction between different passive material models and mechano-electrical feedback in cardiac modeling remains to be fully clarified.

Population

Computational model based on a 3D geometry of a healthy rat left ventricle reconstructed from MRI

Comparison

Various types of passive mechanical laws integrated into a fully coupled electromechanical model

Design

Computational simulation study

Authors

MDMinh Tuấn Dương DHDavid Holz MAMuhannad Alkassar

Discussion

Member takes

Overview

Modelers should verify compressibility to avoid repolarization artifacts; leaves open MEF effects under realistic compressible conditions.

Structured PICO

Population

Computational model based on a three-dimensional (3D) geometry of a healthy rat left ventricle reconstructed from magnetic resonance imaging (MRI)

Intervention

Comparator

Comparison between different passive material models (e.g., compressible vs. incompressible, polynomial vs. exponential)

Outcome

Influence of passive material models on the overall mechano-electrical feedback (MEF) behavior, including transmembrane potential and relaxation deformationssurrogate

The choice of passive material model, particularly compressibility and exponential laws, significantly impacts the simulated mechano-electrical feedback in computational cardiac models.

Cite This Study

Dương et al. (2019) studied this question.

synapsesocial.com/papers/6a1bfd6cc97d63156a5f2fe7 https://doi.org/10.3389/fphys.2019.01041

Also Consider

Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context:

View Full Paper

Ask AI

Bookmark