Reference : A simplified model for mitral valve dynamics.
Scientific journals : Article
Human health sciences : Cardiovascular & respiratory systems
http://hdl.handle.net/2268/122777
A simplified model for mitral valve dynamics.
English
Moorhead, K. T. [> >]
Paeme, Sabine [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles >]
Chase, J. G. [> > > >]
Kolh, Philippe mailto [Université de Liège - ULg > Département des sciences biomédicales et précliniques > Biochimie et physiologie générales, humaines et path.]
Pierard, Luc [Université de Liège - ULg > Département des sciences cliniques > Cardiologie - Pathologie spéciale et réhabilitation]
Hann, C. E. [> > > >]
Dauby, Pierre [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles]
Desaive, Thomas mailto [Université de Liège - ULg > Département d'astrophys., géophysique et océanographie (AGO) > Thermodynamique des phénomènes irréversibles >]
2013
Computer Methods & Programs in Biomedicine
Elsevier Scientific
109
2
Yes (verified by ORBi)
International
0169-2607
Limerick
Ireland
[en] Located between the left atrium and the left ventricle, the mitral valve controls flow between these two cardiac chambers. Mitral valve dysfunction is a major cause of cardiac dysfunction and its dynamics are little known. A simple non-linear rotational spring model is developed and implemented to capture the dynamics of the mitral valve. A measured pressure difference curve was used as the input into the model, which represents an applied torque to the anatomical valve chords. A range of mechanical model hysteresis states were investigated to find a model that best matches reported animal data of chord movement during a heartbeat. The study is limited by the use of one dataset found in the literature due to the highly invasive nature of getting this data. However, results clearly highlight fundamental physiological issues, such as the damping and chord stiffness changing within one cardiac cycle, that would be directly represented in any mitral valve model and affect behaviour in dysfunction. Very good correlation was achieved between modeled and experimental valve angle with 1-10% absolute error in the best case, indicating good promise for future simulation of cardiac valvular dysfunction, such as mitral regurgitation or stenosis. In particular, the model provides a pathway to capturing these dysfunctions in terms of modeled stiffness or elastance that can be directly related to anatomical, structural defects and dysfunction.
http://hdl.handle.net/2268/122777
10.1016/j.cmpb.2011.10.012
Copyright (c) 2011 Elsevier Ireland Ltd. All rights reserved.

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