Hostname: page-component-745bb68f8f-grxwn Total loading time: 0 Render date: 2025-02-11T13:21:22.310Z Has data issue: false hasContentIssue false

Simulation of Eisenmenger syndrome with ventricular septal defect using equivalent electronic system

Published online by Cambridge University Press:  26 September 2011

Mehmet Korurek
Affiliation:
Department of Biomedical Engineering, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Istanbul, Turkey
Mustafa Yildiz*
Affiliation:
Department of Cardiology, Kartal Kosuyolu Yuksek Ihtisas Educational and Research Hospital, Istanbul, Turkey
Ayhan Yüksel
Affiliation:
Department of Biomedical Engineering, Faculty of Electrical and Electronic Engineering, Istanbul Technical University, Istanbul, Turkey
Alparslan Şahin
Affiliation:
Department of Cardiology, Bakırköy Dr. Sadi Konuk Educational and Research Hospital, Istanbul, Turkey
*
Correspondence to: Dr M. Yildiz, MD, PhD, Assoc. Prof., Cardiologist, Internal Medicine Specialist and Physiologist, Department of Cardiology, Kartal Kosuyolu Yuksek Ihtisas Educational and Research Hospital, Istanbul, Turkey. Tel: +90 532 371 17 01; Fax: +90 0216 459 63 21; E-mail: mustafayilldiz@yahoo.com
Rights & Permissions [Opens in a new window]

Abstract

Background: In this study, we aim to investigate the simulation of the cardiovascular system using an electronic circuit model under normal and pathological conditions, especially the Eisenmenger syndrome. Methods and Results: The Eisenmenger syndrome includes a congenital communication between the systemic and pulmonary circulation, with resultant pulmonary arterial hypertension and right-to-left reversal of flow through the defect. When pulmonary vascular resistance exceeds systemic vascular resistance, it results in hypoxaemia and cyanosis. The Westkessel model including Resistor-Inductance-Capacitance pi-segments was chosen in order to simulate both systemic and pulmonary circulation. The left and right heart are represented by trapezoidal shape stiffness for better simulation results. The Eisenmenger syndrome is simulated using a resistance (septal resistance) connected between the left ventricle and right ventricle points of the model. Matlab® is used for the model implementation. In this model, although there is a remarkable increase in the pulmonary artery pressure and right ventricle pressure, left ventricle pressure, aortic pressure, aortic flow, and pulmonary compliance decrease in the Eisenmenger syndrome. In addition, left-to-right septal flow reversed in these diseases. Conclusion: Our model is effective and available for simulating normal cardiac conditions and cardiovascular diseases, especially the Eisenmenger syndrome.

Type
Original Article
Copyright
Copyright © Cambridge University Press 2012

Ventricular septal defect is the most common congenital cardiac disorder, characterised by an opening in the septum between the ventricles, which allows blood to shunt between the left and right ventricles, that is, left-to-right shunting.Reference Perloff, Rosove, Child and Wright1, Reference Ammash and Warnes2 This disease accounts for up to 30% of all congenital cardiac defects. Irreversible pulmonary vascular obstructive disease, Eisenmenger syndrome, develops in 10–15% of patients with ventricular septal defects, most commonly in the second and third decades of life.Reference Perloff3Reference Heath and Edwards6 The Eisenmenger syndrome consists of a congenital communication between the systemic and pulmonary circulation, with resultant pulmonary arterial hypertension and right-to-left reversal of flow through the defect. When pulmonary vascular resistance exceeds systemic vascular resistance, it results in hypoxaemia and cyanosis. Electronic circuit simulation uses mathematical models to replicate the behaviour of an actual electronic device or circuit. This system is available for investigating cardiovascular physiology. Several models for the cardiovascular system have been proposed for understanding the cardiovascular physiology and pathophysiology, such as arrhythmia, myocardial ischaemia, hypertension, and valve diseases.Reference Rupnik, Runovc, Sket and Kordas7Reference Rideout12 In this study, we have designed an analogue circuit that is able to simulate normal condition and Eisenmenger syndrome with ventricular septal defect.

Methods

In this study, we investigated the cardiovascular system using an electronic circuit. The electrons in an electronic circuit create electrical current by moving from a high voltage point to a lower voltage point similar to fluids, which flow from a high pressure point to a lower pressure point. In the designed circuit, we used resistors, capacitors, inductors, diodes, and variable capacitors. Resistors model the resistance of a vessel against the blood flow because of its length and diameter. Capacitors simulate expansion of blood vessels by the increasing pressure – compliance. Inductances model the physical reactions of the blood to flow changes. Physical reaction is the increase or decrease in pressure, which is proportional to blood density and velocity. Diodes model the heart valves and convey the current in one direction. When the voltage at a diode input is high enough, the diode is ON and current can flow through it. Variable capacitors model the left and right ventricles. Increasing the value of these capacitors causes the current to flow from the circuit through the capacitances – diastole period; decreasing the value of the capacitors causes the current to flow into the circuit – systole period. Therefore, the periodical change of capacitors was designed in accordance with systole and diastole intervals.

Cardiovascular system simulation is done using an electrical circuit model, which is shown in Figure 1. In our model, the left and right ventricle are represented by trapezoid-shaped stiffness, and vessels are represented by modified Westkessel model including Resistor-Inductance-Capacitance pi-sections as used in the Rideout model.Reference Rideout12 Matlab® is used for the model implementation. Electrical units and their physiological equivalent values are given in Table 1. In the design of the cardiovascular circuit simulation, we have taken into account physiological limits. The main pressure and volume curves obtained from the model for normal condition are shown in Figure 2. The results for normal condition obtained from the model are similar to those reported in the literature for the cardiovascular system (Table 2).Reference Levick13 Normal condition is assumed as a healthy male adult whose body weight is 70 kilograms, body surface area is 1.8 square metres, and heart rate is 75 beats per minute – heart period is 0.8 seconds.

Figure 1 The electronic circuit model that is used for the simulation of the cardiovascular system. P = pressure; F = flow; V = volume; R = resistance; C = capacitance; S = stiffness; L = inertance; Aor = aortic; Pul = pulmonary artery; MitV = mitral valve; AorV = aortic valve; TriV = tricuspid valve; PulV = pulmonary valve; LA = left atrium; Mit = mitral; LV = left ventricle; RA = right atrium; sep = septum; R1L = systemic resistance; C1L = systemic capacitance; CvenL = systemic venous capacitance; R1R = pulmonary resistance or pulmonary load resistance; C1R = pulmonary capacitance or pulmonary load capacitance; CvenR = pulmonary venous capacitance.

Table 1 The design of the circuit is based on the principles of equivalent quantities.

Figure 2 The main pressure and volume contours obtained from the model for normal conditions.

Table 2 Cardiovascular model parameters and the model measurement values for normal, large VSD and Eisenmenger syndrome.

VSD = ventricular septal defects

To drive each ventricle, two synchronous pacemakers and two capacitances having similar time-varying stiffness characteristics are connected in the circuit. The pacemakers have trapezoidal stiffness-characteristic waves with adjustable frequency, which is given in Figure 1. The pacemakers operate at 1.25 hertz frequency, 75 beats per minute, with durations of systole and diastole being 0.234 and 0.566 seconds, respectively. The aortic and pulmonary capacitances have exponential characteristics.

Aortic and pulmonary distensibility are given below:

\[--><$$>\eqalign{	{\rm{Distensibility}}\, = \,{\rm{mean}}\,({\rm{capacitance}})\:\cr	\quad = \:\frac{{{ {\Bigg[ \matrix {{\rm{First}} \ {\rm{capacitance}} \ {\rm{volume }}\hfill \cr \quad {{-\ {\rm Second}} \ {\rm{capacitance}} \ {\rm{volume}}}\hfill }}}\Bigg]}} {\Bigg[{\matrix{{ {\rm{Maximum}} \ {\rm{pulmonary}} \ {\rm{capacitance}}}\hfill \cr \quad{{- \ \rm Minimum}} \ {\rm{pulmonary}} \ {\rm{capacitance}}}\Bigg]\eqno<$$><!--\]

Here, Maximum Pulmonary and PC1 are the limit capacitance pressure values that aortic and/or pulmonary capacitances possessed when the model was working, and VC2 and VC1 are the capacitance volume values corresponding to the PC2 and PC1. The parameter values of the model in normal condition are given in Figure 1 and in Table 2.

All cardiac valves are simulated using voltage-controlled switches with a piece-wise linear characteristic plus serial resistances having 0.003 hydraulic resistance unit.

The cardiovascular circuit model is modified for the simulation of normal, large ventricular septal defect and Eisenmenger syndrome. The ventricular septal defect is simulated using a septal resistance connected between the left ventricle and right ventricle points of the model. The Eisenmenger syndrome is simulated mainly using septal resistance and pulmonary resistance. The definitions for the septal defect conditions are given below:

\[--><$$>{{({{Q}_{\rm{p}}}/{{Q}_{\rm{s}}})}_1}\: = \:\frac{{{\rm{Pulmonary}}\,{\rm{systolic}}\,{\rm{pressure}}}}{{{\rm{Aortic}}\,{\rm{systolic}}\,{\rm{pressure}}}}\eqno<$$><!--\]
\[--><$$>{{({{Q}_{\rm{p}}}/{{Q}_{\rm{s}}})}_2}\: = \:\frac{{{\rm{Pulmonary}}\,{\rm{peak}}\,{\rm{flow}}}}{{{\rm{Systemic}}\,{\rm{peak}}\,{\rm{flow}}}}\eqno<$$><!--\]

The Q p/Q s (shunt) parameter limit values for different ventricular septal defects and Eisenmenger syndrome are given in Table 3.Reference Therrien, Dore and Gersony14 To simulate large ventricular septal defect and Eisenmenger conditions, mainly septal resistance of the model is changed from 0.15 to 0.01 hydraulic resistance unit values, and pulmonary resistance is changed from 0.15 to 2.5 hydraulic resistance unit, as given in Table 2. Pulmonary capacitance value is 0.02 hydraulic capacitance unit for both large ventricular septal defect and Eisenmenger conditions, different from normal condition, which is 0.04 hydraulic capacitance unit. The model measurement values for normal, large ventricular septal defect, and Eisenmenger conditions are given in Table 2.

Table 3 The Q p/Q s (shunt) parameter limit values for different ventricular septal defects and Eisenmenger syndrome.

Results

Results for the cardiovascular system under normal, ventricular septal defect and Eisenmenger conditions are presented in Table 2. In this model, although there was a remarkable increase of the pulmonary artery pressure and right ventricle pressure (Fig 3a and b), left ventricle pressure, aortic pressure, aortic flow (Fig 4ac), and pulmonary compliance (Fig 5a) decreased in the Eisenmenger syndrome. In addition, left-to-right septal flow reversed (Fig 5b) in this disease.

Figure 3 (a and b) An increase in the pulmonary artery pressure and right ventricle pressure.

Figure 4 (a–c) Left ventricle pressure, aortic pressure and aortic flow decreased in the Eisenmenger syndrome.

Figure 5 Pulmonary compliance decreased – the heavy lines show the working areas of the characteristics (a); left-to-right septal flow reversed (b).

Discussion

In this study, we have designed an analogue circuit that is able to simulate normal condition and the Eisenmenger syndrome with ventricular septal defect. Simulation is available for investigating cardiovascular physiology. Several models for the cardiovascular system have been proposed for understanding the cardiovascular physiology and pathophysiology, such as arrhythmia, myocardial ischaemia, hypertension, and valve diseases.Reference Rupnik, Runovc, Sket and Kordas7Reference Tsalikakis, Fotiadis and Sideris9, Reference Mukkamala and Cohen15Reference Aguilar, Balsera and Bernal20 Mukkamala et alReference Mukkamala and Cohen15 have designed a forward model-based cardiovascular system identification method that utilises coupling mechanisms related to electrocardiograph-derived heart rate signals, arterial blood pressure, and instantaneous lung volume: circulatory mechanics, heart rate baroreflex, instantaneous lung volume to heart rate, instantaneous lung volume to arterial blood pressure, and sinoatrial node. We did not use these coupling mechanisms in our study. Instead, we applied baroreflex coupling mechanism by changing systemic resistance and pulmonary resistance manually. Resistance values were convenient with physiological output results.Reference Vongpatanasin, Brickner, Hillis and Lange21 In addition, other coupling mechanisms mentioned in Mukkamala's paper can be added to subsequent model studies. However, the principal goal of this study was to focus especially on the Eisenmenger syndrome for educational purposes.

The measurements we obtained for the Eisenmenger syndrome were close to what is reported in the literature. Although the pulmonary artery pressure and right ventricle pressure increased, left ventricle pressure, aortic pressure, aortic flow, and pulmonary compliance decreased.Reference Vongpatanasin, Brickner, Hillis and Lange21 The Eisenmenger syndrome consists of a congenital communication between the systemic and pulmonary circulation, with resultant elevated pulmonary vascular resistance, pulmonary arterial hypertension, and bidirectional or right-to-left shunting. The pathophysiological mechanisms of the Eisenmenger syndrome are not completely known.Reference Vongpatanasin, Brickner, Hillis and Lange21 Chronic exposure of the pulmonary vasculature to increased blood flow produces endothelial cell damage and release, as well as the activation of factors – such as elastase, insulin-like growth factor I, transforming growth factor, thromboxane B2, von Willebrand factor, endothelin – that ultimately lead to vasoconstriction and structural changes, including intimal proliferation and fibrosis, medial hypertrophy, occlusion of the small vessels, plexiform lesions, and necrotising arteritis.Reference Heath and Edwards6, Reference Todorovich-Hunter, Dodo, Ye, McCready, Keeley and Rabinovitch22Reference Dinh Xuan, Higenbottam, Clelland, Pepke-Zaba, Cremona and Wallwork29 The structural changes lead to increased pulmonary vascular resistance, pulmonary arterial pressure, and reversal of the shunt, which is similar to the result obtained from the model.Reference Vongpatanasin, Brickner, Hillis and Lange21, Reference Bouzas and Gatzoulis30

In our model, we first demonstrated the normal condition of the cardiovascular system and then the ventricular septal defect by using the preceding normal condition model. Finally, we revised our model in order to simulate the Eisenmenger syndrome.

In conclusion, our model is effective and available for simulating normal cardiac conditions and cardiovascular disease. This electrical model proves useful for studying the pathogeneses of the cardiovascular disease, especially the Eisenmenger syndrome. Models can also be built up for teaching purposes; one can easily give information about the system by using its model. We also built up an electrical circuit diagram as a model of the cardiovascular system for training, research, and system classification purposes.

Acknowledgement

We acknowledge a valuable professor of Istanbul Technical University, Tamar Olmez, for helping.

References

1.Perloff, JK, Rosove, MH, Child, JS, Wright, GB. Adults with cyanotic congenital heart disease: hematologic management. Ann Intern Med 1988; 109: 406413.CrossRefGoogle ScholarPubMed
2.Ammash, NM, Warnes, CA. Ventricular septal defects in adults. Ann Intern Med 2001; 135: 812824.CrossRefGoogle ScholarPubMed
3.Perloff, JK (ed.). Ventricular septal defect. In: The Clinical Recognition of Congenital Heart Disease, 4th edn. Philadelphia, W.B. Saunders, 1994: 396439.Google Scholar
4.Neutze, JM, Ishikawa, T, Clarkson, PM, Calder, AL, Barratt-Boyes, BG, Kerr, AR. Assessment and follow-up of patients with ventricular septal defect and elevated pulmonary vascular resistance. Am J Cardiol 1989; 63: 327331.CrossRefGoogle ScholarPubMed
5.Clarkson, PM, Frye, RL, DuShane, JW, Burchell, HB, Wood, EH, Weidman, WH. Prognosis for patients with ventricular septal defect and severe pulmonary vascular obstructive disease. Circulation 1968; 38: 129135.CrossRefGoogle ScholarPubMed
6.Heath, D, Edwards, JE. The pathology of hypertensive pulmonary vascular disease: a description of six grades of structural changes in the pulmonary arteries with special reference to congenital cardiac septal defects. Circulation 1958; 18: 533547.CrossRefGoogle ScholarPubMed
7.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: 112.CrossRefGoogle ScholarPubMed
8.Li, X, Bai, J, Cui, S, Wang, S. Simulation study of the cardiovascular functional status in hypertensive situation. Comput Biol Med 2002; 32: 345362.CrossRefGoogle ScholarPubMed
9.Tsalikakis, DG, Fotiadis, DI, Sideris, D. Simulations of cardiovascular diseases using electronic circuits. Comput Cardiol 2003; 30: 445448.Google Scholar
10.Goldwyn, RM, Watt, TB Jr. Arterial pressure pulse contour analysis via a mathematical model for the clinical quantification of human vascular properties. IEEE Trans Biomed Eng 1967; 14: 1117.CrossRefGoogle Scholar
11.Korurek, M, Yıldız, M, Yüksel, A. Simulation of normal cardiovascular system and severe aortic stenosis using equivalent electronic model. Anadolu Kardiyol Derg 2010; 10: 471478.CrossRefGoogle ScholarPubMed
12.Rideout, VC. Mathematical and Computer Modelling of Physiological Systems. Prentice Hall International (ISBN: 0135636930, 9780135636930), 1991: 1261.Google Scholar
13.Levick, JR. Cardiovascular Parameters. An Introduction to Cardiovascular Physiology, 4th edn. Oxford University Press, New York, 2003.Google Scholar
14.Therrien, J, Dore, A, Gersony, W, et al. Canadian Cardiovascular Society. CCS Consensus Conference 2001 update: recommendations for the management of adults with congenital heart disease, Part I. Can J Cardiol 2001; 17: 940959.Google Scholar
15.Mukkamala, R, Cohen, RJ. A forward model-based validation of cardiovascular system identification. Am J Physiol Heart Circ Physiol 2001; 281: 27142730.CrossRefGoogle ScholarPubMed
16.Sever, M, Podnar, T, Runovc, F, Kordas, M. Analog simulation of two clinical conditions: (1) acute left ventricle failure; (2) exercise in patient with aortic stenosis. Comput Biol Med 2007; 37: 10511062.CrossRefGoogle Scholar
17.Maasrani, M, Verhoye, JP, Corbineau, H, Drochon, A. Analog electrical model of the coronary circulation in case of multiple revascularizations. Ann Biomed Eng 2008; 36: 11631174.CrossRefGoogle ScholarPubMed
18.Felipini, CL, de Andrade, AJ, Lucchi, JC, da Fonseca, JW, Nicolosi, D. An electro-fluid-dynamic simulator for the cardiovascular system. Artif Organs 2008; 32: 349354.CrossRefGoogle ScholarPubMed
19.Guler, I, Hardalac, F, Barisci, N. Application of FFT analyzed cardiac Doppler signals to fuzzy algorithm. Comput Biol Med 2002; 32: 435444.CrossRefGoogle ScholarPubMed
20.Aguilar, JL, Balsera, BM, Bernal, JJ. Simulation of the variable compliance of living systems. Comput Biol Med 1982; 12: 133141.CrossRefGoogle ScholarPubMed
21.Vongpatanasin, W, Brickner, ME, Hillis, LD, Lange, RA. The Eisenmenger syndrome in adults. Ann Intern Med 1998; 128: 745755.CrossRefGoogle ScholarPubMed
22.Todorovich-Hunter, L, Dodo, H, Ye, C, McCready, L, Keeley, FW, Rabinovitch, M. Increased pulmonary artery elastolytic activity in adult rats with monocrotaline-induced progressive hypertensive pulmonary vascular disease compared with infant rats with nonprogressive disease. Am Rev Respir Dis 1992; 146: 213223.CrossRefGoogle ScholarPubMed
23.Perkett, EA, Badesch, DB, Roessler, MK, Stenmark, KR, Meyrick, B. Insulinlike growth factor I and pulmonary hypertension induced by continuous air embolization in sheep. Am J Respir Cell Mol Biol 1992; 6: 8287.CrossRefGoogle ScholarPubMed
24.Perkett, EA, Lyons, RM, Moses, HL, Brigham, KL, Meyrick, B. Transforming growth factor-β activity in sheep lung lymph during the development of pulmonary hypertension. J Clin Invest 1990; 86: 14591464.CrossRefGoogle ScholarPubMed
25.Fuse, S, Kamiya, T. Plasma thromboxane B2 concentration in pulmonary hypertension associated with congenital heart disease. Circulation 1994; 90: 29522955.CrossRefGoogle ScholarPubMed
26.de P S Soares, R, Maeda, NY, Bydlowski, SP, Lopes, AA. Markers of endothelial dysfunction and severity of hypoxaemia in the Eisenmenger syndrome. Cardiol Young 2005; 15: 504513.CrossRefGoogle ScholarPubMed
27.Yoshibayashi, M, Nishioka, K, Nakao, K, et al. Plasma endothelin concentrations in patients with pulmonary hypertension associated with congenital heart defects. Evidence for increased production of endothelin in pulmonary circulation. Circulation 1991; 84: 22802285.CrossRefGoogle ScholarPubMed
28.Celermajer, DS, Cullen, S, Deanfiel, JE. Impairment of endothelium-dependent pulmonary artery relaxation in children with congenital heart disease and abnormal pulmonary hemodynamics. Circulation 1993; 87: 440446.CrossRefGoogle ScholarPubMed
29.Dinh Xuan, AT, Higenbottam, TW, Clelland, C, Pepke-Zaba, J, Cremona, G, Wallwork, J. Impairment of pulmonary endothelium-dependent relaxation in patients with Eisenmenger's syndrome. Br J Pharmacol 1990; 99: 910.CrossRefGoogle ScholarPubMed
30.Bouzas, B, Gatzoulis, MA. Pulmonary arterial hypertension in adults with congenital heart disease. Rev Esp Cardiol 2005; 58: 465469.CrossRefGoogle ScholarPubMed
Figure 0

Figure 1 The electronic circuit model that is used for the simulation of the cardiovascular system. P = pressure; F = flow; V = volume; R = resistance; C = capacitance; S = stiffness; L = inertance; Aor = aortic; Pul = pulmonary artery; MitV = mitral valve; AorV = aortic valve; TriV = tricuspid valve; PulV = pulmonary valve; LA = left atrium; Mit = mitral; LV = left ventricle; RA = right atrium; sep = septum; R1L = systemic resistance; C1L = systemic capacitance; CvenL = systemic venous capacitance; R1R = pulmonary resistance or pulmonary load resistance; C1R = pulmonary capacitance or pulmonary load capacitance; CvenR = pulmonary venous capacitance.

Figure 1

Table 1 The design of the circuit is based on the principles of equivalent quantities.

Figure 2

Figure 2 The main pressure and volume contours obtained from the model for normal conditions.

Figure 3

Table 2 Cardiovascular model parameters and the model measurement values for normal, large VSD and Eisenmenger syndrome.

Figure 4

Table 3 The Qp/Qs (shunt) parameter limit values for different ventricular septal defects and Eisenmenger syndrome.

Figure 5

Figure 3 (a and b) An increase in the pulmonary artery pressure and right ventricle pressure.

Figure 6

Figure 4 (a–c) Left ventricle pressure, aortic pressure and aortic flow decreased in the Eisenmenger syndrome.

Figure 7

Figure 5 Pulmonary compliance decreased – the heavy lines show the working areas of the characteristics (a); left-to-right septal flow reversed (b).