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The human heart is a complex organ with an intricate system of valves that regulate blood flow. There are two main types of valves: atrioventricular (AV) valves and semilunar valves.
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Fluid mechanics model studies often utilize scaled-down systems to predict fluid behavior in full-scale environments, such as river flows, dam spillways, and structures interacting with open surfaces. Maintaining Froude number similarity in river models is crucial, as it replicates surface flow features like wave patterns and velocities.
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Emerging Trends in Heart Valve Engineering: Part IV. Computational Modeling and Experimental Studies.

Arash Kheradvar1,2, Elliott M Groves3,4, Ahmad Falahatpisheh3

  • 1Department of Biomedical Engineering, The Edwards Lifesciences Center for Advanced Cardiovascular Technology, University of California, Irvine, 2410 Engineering Hall, Irvine, CA, 92697-2730, USA. arashkh@uci.edu.

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Summary

This review covers computational and experimental methods for heart valve engineering. It highlights the interplay between advanced modeling techniques and in vitro testing for better understanding heart valve function.

Keywords:
Biaxial testingComputational modelingHeart valvesMultiscale modelingNumerical simulationParticle image velocimetry

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Area of Science:

  • Biomedical Engineering
  • Computational Fluid Dynamics
  • Biomechanics

Background:

  • Heart valve engineering is a complex field requiring advanced analytical tools.
  • Understanding the intricate mechanics of heart valves is crucial for developing effective treatments and prosthetics.
  • Previous reviews have laid the groundwork for this comprehensive examination.

Purpose of the Study:

  • To provide a final review focusing on computational methods and experimental studies in heart valve engineering.
  • To illustrate the application and interrelation of computational methods and experimental studies for heart valve research.
  • To synthesize current knowledge on advanced modeling and in vitro testing techniques.

Main Methods:

  • Review of computational modeling techniques, including fluid-structure interaction.
  • Exploration of multiscale and disease-specific modeling approaches.
  • Analysis of advanced in vitro experimental methods for heart valve testing.

Main Results:

  • Detailed examination of governing equations for fluid and structural interaction in computational models.
  • Discussion of the integration of multiscale and disease-specific modeling for enhanced accuracy.
  • Overview of state-of-the-art in vitro testing methodologies for evaluating heart valve performance.

Conclusions:

  • Computational methods and experimental studies are complementary and essential in heart valve engineering.
  • Advanced modeling and in vitro testing provide critical insights into heart valve biomechanics.
  • This review consolidates current knowledge, guiding future research and development in the field.