Development of knowledge of cardiovascular diseases and treatments strongly depends on understanding of hemodynamic measurements. Hemodynamic parameters, therefore, have been investigated using simulation-based methods. | Numerical method to measure velocity integration stroke volume and cardiac output while rest using 2D fluid-solid interaction model Engineering Solid Mechanics 2 2014 91-100 Contents lists available at GrowingScience Engineering Solid Mechanics homepage esm Numerical method to measure velocity integration stroke volume and cardiac output while rest using 2D fluid-solid interaction model Arezoo Khosravia Hamidreza Ghasemi Bahrasemanb Kamran Hassanib and Davood Kazemi-Saleha a Atherosclerosis research center Baqiyatallah University of Medical Sciences Tehran Iran b Department of Biomechanics Science and Research Branch Islamic Azad University Tehran Iran ART ICLE INFO ABSTRACT Article history Development of knowledge of cardiovascular diseases and treatments strongly depends on Received September 20 2013 understanding of hemodynamic measurements. Hemodynamic parameters therefore have been Received in Revised form investigated using simulation-based methods. A two-dimensional model was applied for seven October 14 2013 healthy subjects with echo-Doppler at rest. Echocardiography imaging was also utilized to gain Accepted 9 February 2014 Available online the geometry of the aortic valve. Fluid-Structure Interaction FSI model was carried out 12 February 2014 coupling an Arbitrary Lagrangian-Eulerian mesh. Pressure loads were used as boundary Keywords conditions on the valve s ventricular and aortic sides. Pressure loads used were the calculated Echo-Doppler flow brachial pressures plus differences between brachial central and left ventricular pressures. The Fluid-structure interaction FSI model predicted the velocity integration stroke volume and cardiac output over a range of Hemodynamics heart rates while rest. Numerical results generally had a difference of to with Natural aortic valve Doppler results. Linear correlations between numerical and clinical approaches have been applied. This makes possible predictions achieved from the .
