2004
DOI: 10.1007/bf02345218
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Haemodynamic determinants of the mitral valve closure sound: A finite element study

Abstract: Automatic acoustic classification and diagnosis of mitral valve disease remain outstanding biomedical problems. Although considerable attention has been given to the evolution of signal processing techniques, the mechanics of the first heart sound generation has been largely overlooked. In this study, the haemodynamic determinants of the first heart sound were examined in a computational model. Specifically, the relationship of the transvalvular pressure and its maximum derivative to the time-frequency content… Show more

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Cited by 41 publications
(37 citation statements)
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“…Previously, several numerical simulations of the mitral apparatus have been conducted with different types of material models for the leaflets (see, e.g. Kunzelman et al [2], Einstein et al [3], Votta et al [4], Dal Pan et al [5]). Several authors have implemented models for soft biological tissues into finite element codes.…”
Section: Prot B Skallerud and G A Holzapfelmentioning
confidence: 99%
“…Previously, several numerical simulations of the mitral apparatus have been conducted with different types of material models for the leaflets (see, e.g. Kunzelman et al [2], Einstein et al [3], Votta et al [4], Dal Pan et al [5]). Several authors have implemented models for soft biological tissues into finite element codes.…”
Section: Prot B Skallerud and G A Holzapfelmentioning
confidence: 99%
“…Loon et al extended fictitious domain method through coupling a Navier-Stokes (Einstein et al 2004) flow solver in Eulerian description to a Neo-Hookean solid model in Lagrangian description to model valve-leaflet blood interaction (Loon et al 2006). Nicosia et al modeled the aortic valve using an anisotropic elastic material model (Nicosia et al 2003), followed by Weinberg et al modeling the aortic valve with a discrete fiber model (Weinberg and Kaazempur Mofrad 2007) and Einstein modeling the mitral valve with a splayed-fiber model (Einstein et al 2004(Einstein et al , 2005aKunzelman et al 2007). The last two models notably are verified against various experimental measures, and Einstein's model is able to predict heart sounds (Einstein et al 2004); see Fig.…”
Section: Organ-scalementioning
confidence: 99%
“…Nicosia et al modeled the aortic valve using an anisotropic elastic material model (Nicosia et al 2003), followed by Weinberg et al modeling the aortic valve with a discrete fiber model (Weinberg and Kaazempur Mofrad 2007) and Einstein modeling the mitral valve with a splayed-fiber model (Einstein et al 2004(Einstein et al , 2005aKunzelman et al 2007). The last two models notably are verified against various experimental measures, and Einstein's model is able to predict heart sounds (Einstein et al 2004); see Fig. 4b for a representation of the mitral valve model which also includes the chordae tendinae, not depicted.…”
Section: Organ-scalementioning
confidence: 99%
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