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Replication of left ventricular haemodynamics with a simple planar mitral valve model

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Published/Copyright: June 29, 2020
Biomedical Engineering / Biomedizinische Technik
From the journal Biomedical Engineering / Biomedizinische Technik Volume 65 Issue 5

Abstract

Tools for the numerical prediction of haemodynamics in multi-disciplinary integrated heart simulations have to be based on computational models that can be solved with low computational effort and still provide physiological flow characteristics. In this context the mitral valve model is important since it strongly influences the flow kinematics, especially during the diastolic phase. In contrast to a 3D valve, a vastly simplified valve model in form of a simple diode is known to be unable to reproduce the characteristic vortex formation and unable to promote a proper ventricular washout. In the present study, an adaptation of the widely used simplest modelling approach for the mitral valve is employed and compared to a physiologically inspired 3D valve within the same ventricular geometry. The adapted approach shows enhanced vortex formation and an improved ventricular washout in comparison to the diode type model. It further shows a high potential in reproducing the main flow characteristics and related particle residence times generated by a 3D valve.

Keywords: CFD; mitral valve; vortex identification
Corresponding author: Bettina Frohnapfel, Institute of Fluid Mechanics, Karlsruhe Institute of Technology, Karlsruhe, Germany, E-mail:

Funding source: Bundesministerium für Bildung und Forschung

Award Identifier / Grant number: 05M2016

  1. Research funding: The authors gratefully acknowledge the support by BMBF project 05M2016.

  2. Conflict of interests: Authors state no conflict of interest.

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Received: 2019-07-12
Accepted: 2020-01-10
Published Online: 2020-06-29
Published in Print: 2020-10-25

© 2020 Walter de Gruyter GmbH, Berlin/Boston

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https://doi.org/10.1515/bmt-2019-0175
Keywords for this article
CFD; mitral valve; vortex identification

Articles in the same Issue

  1. Frontmatter
  2. Research articles
  3. A nonlinear dynamical approach to analysis of emotions using EEG signals based on the Poincaré map function and recurrence plots
  4. Frequency decomposition and phase synchronization of the visual evoked potential using the empirical mode decomposition
  5. A novel motion coupling coding method for brain-computer interfaces
  6. Electrocardiography (ECG) analysis and a new feature extraction method using wavelet transform with scalogram analysis
  7. A novel non-invasive method for estimating the local wave speed at a single site in the internal carotid artery
  8. Classification of standing and sitting phases based on in-socket piezoelectric sensors in a transfemoral amputee
  9. The performance of a low-cost bio-amplifier on 3D human arm movement reconstruction
  10. Mathematical model of patella T-reflex and clinical evaluation with Ashworth scales
  11. Replication of left ventricular haemodynamics with a simple planar mitral valve model
  12. Detection of skin cancer with adaptive fuzzy classifier using improved whale optimization
  13. Titanium coating: introducing an antibacterial and bioactive chitosan-alginate film on titanium by spin coating
  14. Osteoclast and osteoblast response to strontium-doped struvite coatings on titanium for improved bone integration
  15. Does preconditioning lower the rupture resistance of chorioamniotic membrane?
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