• Title/Summary/Keyword: cardiac physiome model

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Estimation of Cardiac Pumping Performance according to the Ventricular Electrical Activation Time Distribution by Using Physiome Model (피지옴 모델을 이용한 심실의 전기활성시간 분포에 따른 심박출 성능평가)

  • Kim, Hyeong-Gyun;Lim, Ki Moo
    • Journal of Biomedical Engineering Research
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    • v.36 no.5
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    • pp.198-203
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    • 2015
  • The purpose of the study is to examine the effects of pacemaker location on cardiac pumping efficacy theoretically. We used a three-dimensional finite element cardiac electromechanical model of canine ventricles with models of the circulatory system. Electrical activation time for normal sinus rhythm and artificial pacing in apex, left ventricular free wall, and right ventricular free wall were obtained from electrophysiological model. We applied the electrical activation time maps to the mechanical contraction model and obtained cardiac mechanical responses such as myocardial contractile ATP consumption, stroke work, stroke volume, ejection fraction, and etc. Among three artificial pacing methods, left ventricle pacing showed best performance in ventricular pumping efficacy.

Analysis of Ventricular Electromechanical Characteristics by Lesions in Sudden Myocardial Infraction: Computer Simulation Study (급성 심근경색 병변에 따른 심실의 전기 역학적 특성 분석: 컴퓨터 시뮬레이션 연구)

  • Baek, Dong Geun;Jeong, Da Un;Lim, Ki Moo
    • Journal of Biomedical Engineering Research
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    • v.38 no.6
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    • pp.313-320
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    • 2017
  • Myocardial infarction is a disease caused by stenosis of the coronary arteries. The high risk of sudden cardiac death due to myocardial infarction has triggered related researches that have been actively studied so far. However, these studies focused on the clinical results, which are mainly based on observations of symptoms due to infarction through electrocardiograms. Therefore, in this study, we tried to analyze the behavior of heart according to the position and volume of infarction lesion through the computer simulation study using three dimensional ventricular models. In order to implement infarction, commercial software was used to simulate cell necrosis due to blockage of a specific coronary. In addition, the conduction block due to infarction was mimicked by reducing the electrical conduction in the infarcted area, which was 100 times less than the electrical conduction of the whole ventricular lattice implemented by the finite element analysis method. Thus, this study classified the infarcted cases into the upper, middle, lower, and apex according to lattice data of eight different infraction areas. In other words, we assumed that myocardial infarction would have inherent electro-dynamic characteristics depending on the location and extent, and analyzed the ventricular electromechanical responses for infarction lesions using a three dimensional cardiac physiome model. The results showed that the volume of infarction did not directly affect the cardiac responses, but the location of the infarction lesions could influence the ventricular pumping efficiency. These suggest that the occlusion of specific coronary arteries may have a fatal effect on the decline in ventricular performance. In conclusion, although location of myocardial infarction lesions is considered to be an important variable to be considered clinically rather than lesion size, quantitative predictions should be made more in the future considering physiological factors such as lesion location and direction of myocardial fiber at that location.