Journals / Anadolu Kardiyoloji Dergisi / 2010 / Cilt: 10 - Sayı: 6

Normal kardiyovasküler sistem ve ciddi aort darlığının bir elektronik devre eşdeğeri ile benzetimi

Simulation of normal cardiovascular system and severe aortic stenosis using equivalent electronic model

Pages
471–478
Publication Date
2022-10-10
DOI
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

Conclusion: In conclusion, our model is effective and available for simulating normal cardiac conditions and cardiovascular diseases, especially severe aortic stenosis.

📌 3 Key Takeaways

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Objective & Hypothesis:Objective: In this study, we have designed an analog circuit model of the cardiovascular system that is able to simulate normal condition and cardiovascular diseases, such as mitral stenosis, aortic stenosis, and hypertension.
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Key Findings & Data:As a result of simulation, a remarkable increase of the left ventricle systolic blood pressure and aortic mean pressure gradient, and decrease of aortic systolic blood pressure are observed in severe aortic valve stenosis.
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Conclusion & Impact:Conclusion: In conclusion, our model is effective and available for simulating normal cardiac conditions and cardiovascular diseases, especially severe aortic stenosis.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

Objective: In this study, we have designed an analog circuit model of the cardiovascular system that is able to simulate normal condition and cardiovascular diseases, such as mitral stenosis, aortic stenosis, and hypertension. Especially we focused on severe aortic stenosis, because it is one of the ca uses of sudden death in asymptomatic patients. In this study, we aim to investigate the simulation of the cardiovascular system using an electronic circuit model under normal and especially severe aortic valve stenosis conditions. Methods: The Westkessel model including RLC pi-segments is chosen in order to simulate both systemic and pulmonary circulation. The left and right heart is represented by trapezoidal shape stiffnesses. Aortic capacitance and aortic valve characteristics are chosen nonlinear. Severe aortic stenosis is implemented by changing the value of the serial resistance to the aortic valve. MATLAB® software program is used for the model implementation. Results: The results for normal conditions of the given electrical model are similar to the normal cardiovascular physiology. As a result of simulation, a remarkable increase of the left ventricle systolic blood pressure and aortic mean pressure gradient, and decrease of aortic systolic blood pressure are observed in severe aortic valve stenosis. Conclusion: In conclusion, our model is effective and available for simulating normal cardiac conditions and cardiovascular diseases, especially severe aortic stenosis.

Özet

Amaç: Çalışmada normal durum ile beraber mitral darlık, aort darlığı, ve hipertansiyon gibi kardiyovasküler hastalıkları taklit edebilen elektronik bir devre modeli tasarlanmıştır. Çalışmada özellikle ciddi valvüler aort darlığı üzerinde durulmuştur, çünkü asemptomatik hastalarda ani ölümün sebeplerinden biri olmaktadır. Çalışmanın amacı, kardiyovasküler sistemin elektronik bir devre modelinden yararlanılarak normal ve özellikle ciddi valvüler aort darlığı durumlarının benzetimlerinin yapılmasıdır. Yöntemler: Sistemik ve pulmoner dolaşımın benzetimi için RLC-pi segmentlerini içeren Westkessel modeli seçilmiştir. Sol ve sağ kalp yamuk biçimli stiffness modeli ile temsil edilmektedir. Aortik kapasitans ve aortik kapak karakteristikleri non-lineer seçilmiştir. Ciddi valvüler aort darlığı, aortik kapak direncinin değerinin değiştirilmesi ile gerçekleşmiştir. Bulgular: Sunulan elektriksel modelden normal durumlar için elde edilen sonuçlar normal kardiyovasküler fizyoloji ile benzerlik göstermektedir. Ciddi valvüler aort darlığı durumunda, modelle de, sol ventrikül sistolik kan basıncında ve aortik ortalama basınç gradiyentinde artış ve aortik sistolik kan basıncında düşüş gözlemlenmiştir. Sonuç: Sonuç olarak, önerilen model başta ciddi valvüler aort darlığı olmak üzere çeşitli kardiyovasküler hastalıkların ve normal kardiyak durumun benzetimini verimli bir biçimde yapabilecek düzeydedir.

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Cite This Article

YILDIZ, M., KORÜREK, M., YÜKSEL, A. (2022). Normal kardiyovasküler sistem ve ciddi aort darlığının bir elektronik devre eşdeğeri ile benzetimi. Anadolu Kardiyoloji Dergisi, Cilt: 10 - Sayı: 6, 471–478. https://ajindex.com/articles/436725

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References (2)

  1. Gorlin R, Gorlin SG. Hydraulic formula for calculation of stenotic mitral valve, other cardiac valves, and central circulatory shunts. Am Heart J 1951; 41:1-29. doi:10.1016/0002-8703(51)90002-6 PMID: 14799435 2. Bonow RO, Carabello BA, Chatterjee K, de Leon AC, Faxon DP, Freed MD, et al. ACC/AHA 2006 guidelines for the management of patients with valvular heart disease. A report of the American College of Cardiology/American Heart Association Task Force on Practice Guidelines (Writing committee to revise the 1998 guidelines for the management of patients with valvular heart disease). J Am Coll Cardiol 2006; 48:e1-148. doi:10.1016/j.jacc.2006.05.021 PMid:16875962 doi:10.1016/j.jacc.2006.05.030 3. Rupnik M, Runovc F, Sket D, Kordas M. Cardiovascular physiology: simulation of steady state and transient phenomena by using the equivalent electronic circuit. Comput Methods Programs Biomed 2002; 67:1-12. doi:10.1016/S0169-2607(00)00147-4 PMID: 11750943 4. Podnar T, Runovc F, Kordas M. Simulation of cardiovascular physiology: the diastolic function(s) of the heart. Comput Biol Med 2002; 32:363-77. doi:10.1016/S0010-4825(02)00026-4 PMID: 12102754 5. Blanc O, Virag N, Vesin JM, Kappenberger L. A computer model of human atria with reasonable computation load and realistic anatomical properties. IEEE Trans Biomed Eng 2001; 48:1229-37. doi:10.1109/10.959315 PMid:11686622 6. De Beule M, Van Impe R, Verhegghe B, Segers P, Verdonck P. Finite element analysis and stent design: Reduction of dogboning. Technol Health Care 2006; 14:233-41. PMid:17065746 7. Li X, Bai J, Cui S, Wang S. Simulation study of the cardiovascular functional status in hypertensive situation. Comput Biol Med 2002; 32:345-62. doi:10.1016/S0010-4825(02)00020-3 PMID: 12102753 8. Tsalikakis DG, Fotiadis DI, Sideris D. Simulations of cardiovascular diseases using electronic circuits. Comput Cardiol 2003; 30:445-8. doi:10.1109/CIC.2003.1291188 9. Goldwyn RM, Jr Watt TB. Arterial pressure pulse contour analysis via a mathematical model for the clinical quantification of human vascular properties. IEEE Trans Bio-Med Eng 1967; 14:11-7. doi:10.1109/TBME.1967.4502455 10. Korürek M. Electrical and hydromechanical models of arterial systemic circulation. In: International AMSEe Conference on Modeling and Simulation; 1987;
  2. Cairo, Egypt; p. 49-59. 11. Rideout VC. Mathematical and computer modelling of physiological systems. Pressure-flow modelling of the cardiovascular system. Englewood Cliffs: Printice Hall; 1991