Literature DB >> 19386297

Analog simulation of aortic and of mitral regurgitation.

J Dolensek1, T Podnar, F Runovc, M Kordas.   

Abstract

By using an equivalent electronic circuit either mitral or aortic regurgitation was simulated. Simulation allowed not only a measurement of various pressures within the cardiovascular system and cardiac output, but also mitral and aortic flow. In normal conditions mitral and aortic flows were monophasic, anterograde. In valve regurgitation mitral and aortic flows were, as expected, biphasic. In mitral regurgitation, during systole and diastole the valve flow was retrograde and anterograde, respectively. In aortic regurgitation, during systole and diastole the valve flow was anterograde and retrograde, respectively. The magnitude of the regurgitant valve flow was measured by time-integration and compared to the net flow, i.e. cardiac output. Valve flow was determined not only by the magnitude of valve dysfunction, but also by the resistive/capacitive characteristics of the "falsely" attached regurgitant circuit. If the regurgitant valve flow was large enough, it in turn affected the function of the left ventricle. The present investigation suggests that many features observed in patients with mitral or aortic regurgitation can be qualitatively satisfactorily simulated. In some respects even quantitative simulation is possible. However, for simulation of chronic mitral or aortic regurgitation, in the analog electronic circuit additional adjustments-in capacitance of the left ventricle and pulmonary system--would be required.

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Year:  2009        PMID: 19386297     DOI: 10.1016/j.compbiomed.2009.03.009

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  3 in total

1.  Simulation of left ventricular function during dyskinetic or akinetic aneurysm.

Authors:  Matjaž Sever; Samo Ribarič; Marjan Kordaš
Journal:  Bosn J Basic Med Sci       Date:  2012-11       Impact factor: 3.363

2.  Lumped-Parameter Circuit Platform for Simulating Typical Cases of Pulmonary Hypertensions from Point of Hemodynamics.

Authors:  Hong Tang; Ziyin Dai; Miao Wang; Binbin Guo; Shunyu Wang; Jiabin Wen; Ting Li
Journal:  J Cardiovasc Transl Res       Date:  2020-01-13       Impact factor: 4.132

3.  Simulation of the Frank-Starling Law of the Heart.

Authors:  Samo Ribarič; Marjan Kordaš
Journal:  Comput Math Methods Med       Date:  2012-11-29       Impact factor: 2.238

  3 in total

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