Relevant bibliographies by topics / Cardiovascular system - Computer simulation

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Cardiovascular system - Computer simulation'

Author: Grafiati
Published: 4 June 2021
Last updated: 5 February 2022

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Journal articles on the topic "Cardiovascular system - Computer simulation"

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Bai, Jing, Hongli Lu, Jupeng Zhang, and Xiaoqiang Zhou. "Simulation Study of the Interaction between Respiration and the Cardiovascular System." Methods of Information in Medicine 36, no. 04/05 (October 1997): 261–63. http://dx.doi.org/10.1055/s-0038-1636875.

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Abstract.Many studies have been done on the respiratory and the cardiovascular system. Among them, only a few are on the interaction of these two physiologic systems. To explore the mechanism of the integration of these two physiological systems, computer simulation has been done; we report the preliminary results obtained in our laboratory. In this study, a mathematical model of the cardiovascular system integrated with the respiratory mechanical system has been established. The model is based on our previous work on cardiovascular modeling. The previous lumped lungi model has been replaced by a multielement model with more detail. Inter- thoracic and abdominal pressures are modeled as external pressure sources on the related cardiovascular elements. Using this model, a sequence of simulation studies have been carried out. Different respiratory modes have been simulated and the different effects are observed in the simulation results. The results indicate that by following a certain respiratory pattern, the circulation status can be improved. These results agree with clinical observations.Keywords: Mathematical Model, Respiration Mode, Cardiovascular System, Computer Simulation, Interaction
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Masuzawa, Toru, Yasuhiro Fukui, and N. T. Smith. "Cardiovascular simulation using a multiple modeling method on a digital computer—Simulation of interaction between the cardiovascular system and angiotensin II." Journal of Clinical Monitoring 8, no. 1 (January 1992): 50–58. http://dx.doi.org/10.1007/bf01618088.

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Neglia, D., G. Ferrari, F. Bernini, M. Micalizzi, A. L’Abbate, M. G. Trivella, and C. De Lazzari. "Computer Simulation of Coronary Flow Waveforms during Caval Occlusion." Methods of Information in Medicine 48, no. 02 (2009): 113–22. http://dx.doi.org/10.3414/me0539.

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Summary Objectives: Mathematical modeling of the cardiovascular system is a powerful tool to extract physiologically relevant information from multi-parametric experiments. The purpose of the present work was to reproduce by means of a computer simulator, systemic and coronary measurements obtained by in vivo experiments in the pig. Methods: We monitored in anesthetized open-chest pig the phasic blood flow of the left descending coronary artery, aortic pressure, left ventricular pressure and volume. Data were acquired before, during, and after caval occlusion.Inside the software simulator (CARDIOSIM©) of the cardiovascular system, coronary circulation was modeled in three parallel branching sections. Both systemic and pulmonary circulations were simulated using a lumped parameter mathematical model. Variable elastance model reproduced Starling’s law of the heart. Results: Different left ventricular pressure-volume loops during experimental caval occlusion and simulated cardiac loops are presented. The sequence of coronary flow-aortic pressure loops obtained in vivo during caval occlusion together with the simulated loops reproduced by the software simulator are reported. Finally experimental and simulated instantaneous coronary blood flow waveforms are shown. Conclusions: The lumped parameter model of the coronary circulation, together with the cardiovascular system model, is capable of reproducing the changes during caval occlusion, with the profound shape deformation of the flow signal observed during the in vivo experiment. In perspectives, the results of the present model could offer new tool for studying the role of the different determinants of myocardial perfusion, by using the coronary loop shape as a “sensor” of ventricular mechanics in various physiological and pathophysiological conditions.
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Spicer, Sean A., and Charles A. Taylor. "Simulation-Based Medical Planning for Cardiovascular Disease: Visualization System Foundations." Computer Aided Surgery 5, no. 2 (January 2000): 82–89. http://dx.doi.org/10.3109/10929080009148874.

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Spicer, Sean A., and Charles A. Taylor. "Simulation‐based medical planning for cardiovascular disease: Visualization system foundations." Computer Aided Surgery 5, no. 2 (2000): 82–89. http://dx.doi.org/10.1002/1097-0150(2000)5:2<82::aid-igs2>3.3.co;2-x.

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Nebot, Angela, François E. Cellier, and Montserrat Vallverdú. "Mixed quantitative/qualitative modeling and simulation of the cardiovascular system." Computer Methods and Programs in Biomedicine 55, no. 2 (February 1998): 127–55. http://dx.doi.org/10.1016/s0169-2607(97)00056-4.

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Sato, Toshiro, Akihiro Takeuchi, Jun Yamagami, Hareaki Yamamoto, Shigeaki Akiyama, Kyoko Endou, Masuo Shirataka, Noriaki Ikeda, and Harukazu Tsuruta. "Computer assisted instruction for therapy of heart failure based on simulation of cardiovascular system." ACM SIGBIO Newsletter 9, no. 1 (March 1987): 57–61. http://dx.doi.org/10.1145/25065.25066.

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Bora, Şebnem, Vedat Evren, Sevcan Emek, and Ibrahim Çakırlar. "Agent-based modeling and simulation of blood vessels in the cardiovascular system." SIMULATION 95, no. 4 (June 9, 2017): 297–312. http://dx.doi.org/10.1177/0037549717712602.

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The purpose of this study is to develop a model to simulate the behavior of the human cardiovascular system for use in medical education. The proposed model ensures that the output of the system is accurately represented in both equilibrium conditions and imbalance conditions including in the presence of adaptive agents. In this study, field experts develop an agent-based blood vessel model, i.e., a submodel for the stated purpose. In the proposed blood vessel model, vessels are represented by agents whereas blood flow is represented by the interaction between agents. Adaptive behavior shown by vessels in terms of resistance to the blood flow is defined by the agents’ properties, which are used as the basis for calculating and graphically representing the physical parameters of blood flow, specifically blood pressure, blood flow velocity, and the resistance of the vessel. The adaptation of the vessel agents is supported by a case study, which demonstrates the adaptive behavior of the blood vessel agents through a negative feedback control mechanism. The blood vessel model proposed is flexible in nature such that it can be adapted to account for the behavior of the vessel sections in any vascular structure.
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Smith, Bram W., Steen Andreassen, Geoffrey M. Shaw, Per L. Jensen, Stephen E. Rees, and J. Geoffrey Chase. "Simulation of cardiovascular system diseases by including the autonomic nervous system into a minimal model." Computer Methods and Programs in Biomedicine 86, no. 2 (May 2007): 153–60. http://dx.doi.org/10.1016/j.cmpb.2007.02.001.

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Steele, B. N., M. T. Draney, J. P. Ku, and C. A. Taylor. "Internet-based system for simulation-based medical planning for cardiovascular disease." IEEE Transactions on Information Technology in Biomedicine 7, no. 2 (June 2003): 123–29. http://dx.doi.org/10.1109/titb.2003.811880.

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Dissertations / Theses on the topic "Cardiovascular system - Computer simulation"

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Stahl, David J. Jr. "Bag-of-particles as a deformable model." Diss., Georgia Institute of Technology, 2001. http://hdl.handle.net/1853/32952.

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Alirezaye-Davatgar, Mohammad Taghi Graduate School of Biomedical Engineering Faculty of Engineering UNSW. "Numerical simulation of blood flow in the systemic vasculature incorporating gravitational force with application to the cerebral circulation." Awarded by:University of New South Wales. Graduate School of Biomedical Engineering, 2006. http://handle.unsw.edu.au/1959.4/26177.

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Background. Extensive studies have been conducted to simulate blood flow in the human vasculature using nonlinear equations of pulsatile flow in collapsible tube plus a network of vessels to represent the whole vasculature and the cerebral circulation. For non-linear models numerical solutions are obtained for the fluid flow equations. Methods. Equations of fluid motion in collapsible tubes were developed in the presence of gravitational force (Gforce). The Lax-Wendroff and MacCormack methods were used to solve the governing equations and compared both in terms of accuracy, convergence, and computer processing (CPU) time. A modified vasculature of the whole body and the cerebral circulation was developed to obtain a realistic simulation of blood flow under different conditions. The whole body vasculature was used to validate the simulation in terms of input impedance and wave transmission. The cerebral vasculature was used to simulate conditions such as presence of G-force, blockage of Internal Carotid Artery (ICA), and the effects on cerebral blood flow of changes in mean and pulse pressure. Results. The simulation results for zero G-force were in very good agreement with published experimental data as was the simulation of cerebral blood flow. Both numerical methods for solutions of governing equations gave similar results for blood flow simulations but differed in calculation performance and stability depending on levels of G-force. Simulation results for uniform and sinusoidal G-force are also in good agreement with published experimental results, Blood flow was simulated in the presence of a single (left) carotid artery obstruction with varying morphological structures of the Circle of Willis (CoW). This simulation showed significant differences in contralateral blood flow in the presence or absence of communicating arteries in the CoW. It also was able to simulate the decreases in blood flow in the cerebral circulation compartment corresponding to the visual cortex in the presence of G-force. This is consistent with the known loss of vision under increased acceleration. Conclusions. This study has shown that under conditions of gravitational forces physiological changes in blood flow in the systemic and cerebral vasculature can be simulated realistically by solving the one-dimentional fluid flow equations and non-linear vascular properties numerically. The simulation was able to predict changes in blood flow with different configurations and properties of the vascular network.
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Du, Dongping. "Physical-Statistical Modeling and Optimization of Cardiovascular Systems." Scholar Commons, 2002. http://scholarcommons.usf.edu/etd/5875.

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Heart disease remains the No.1 leading cause of death in U.S. and in the world. To improve cardiac care services, there is an urgent need of developing early diagnosis of heart diseases and optimal intervention strategies. As such, it calls upon a better understanding of the pathology of heart diseases. Computer simulation and modeling have been widely applied to overcome many practical and ethical limitations in in-vivo, ex-vivo, and whole-animal experiments. Computer experiments provide physiologists and cardiologists an indispensable tool to characterize, model and analyze cardiac function both in healthy and in diseased heart. Most importantly, simulation modeling empowers the analysis of causal relationships of cardiac dysfunction from ion channels to the whole heart, which physical experiments alone cannot achieve. Growing evidences show that aberrant glycosylation have dramatic influence on cardiac and neuronal function. Variable but modest reduction in glycosylation among congenital disorders of glycosylation (CDG) subtypes has multi-system effects leading to a high infant mortality rate. In addition, CDG in all young patients tends to cause Atrial Fibrillation (AF), i.e., the most common sustained cardiac arrhythmia. The mortality rate from AF has been increasing in the past two decades. Due to the increasing healthcare burden of AF, studying the AF mechanisms and developing optimal ablation strategies are now urgently needed. Very little is known about how glycosylation modulates cardiac electrical signaling. It is also a significant challenge to experimentally connect the changes at one organizational level (e.g.,electrical conduction among cardiac tissue) to measured changes at another organizational level (e.g., ion channels). In this study, we integrate the data from in vitro experiments with in-silico models to simulate the effects of reduced glycosylation on the gating kinetics of cardiac ion channel, i.e., hERG channels, Na+ channels, K+ channels, and to predict the glycosylation modulation dynamics in individual cardiac cells and tissues. The complex gating kinetics of Na+ channels is modeled with a 9-state Markov model that have voltage-dependent transition rates of exponential forms. The model calibration is quite a challenge as the Markov model is non-linear, non-convex, ill-posed, and has a large parametric space. We developed a new metamodel-based simulation optimization approach for calibrating the model with the in-vitro experimental data. This proposed algorithm is shown to be efficient in learning the Markov model of Na+ model. Moreover, it can be easily transformed and applied to many other optimization problems in computer modeling. In addition, the understanding of AF initiation and maintenance has remained sketchy at best. One salient problem is the inability to interpret intracardiac recordings, which prevents us from reconstructing the rhythmic mechanisms for AF, due to multiple wavelets' circulating, clashing and continuously changing direction in the atria. We are designing computer experiments to simulate the single/multiple activations on atrial tissues and the corresponding intra-cardiac signals. This research will create a novel computer-aided decision support tool to optimize AF ablation procedures.
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Ojeda, Avellaneda David. "Multi-resolution physiological modeling for the analysis of cardiovascular pathologies." Phd thesis, Université Rennes 1, 2013. http://tel.archives-ouvertes.fr/tel-01056825.

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This thesis presents three main contributions in the context of modeling and simulation of physiological systems. The first one is a formalization of the methodology involved in multi-formalism and multi-resolution modeling. The second one is the presentation and improvement of a modeling and simulation framework integrating a range of tools that help the definition, analysis, usage and sharing of complex mathematical models. The third contribution is the application of this modeling framework to improve diagnostic and therapeutic strategies for clinical applications involving the cardiovascular system: hypertension-based heart failure (HF) and coronary artery disease (CAD). A prospective application in cardiac resynchronization therapy (CRT) is also presented, which also includes a model of the therapy. Finally, a final application is presented for the study of the baroreflex responses in the newborn lamb. These case studies include the integration of a pulsatile heart into a global cardiovascular model that captures the short and long term regulation of the cardiovascular system with the representation of heart failure, the analysis of coronary hemodynamics and collateral circulation of patients with triple-vessel disease enduring a coronary artery bypass graft surgery, the construction of a coupled electrical and mechanical cardiac model for the optimization of atrio ventricular and intraventricular delays of a biventricular pacemaker, and a model-based estimation of sympathetic and vagal responses of premature newborn lambs.
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Rocha, Felipe Figueredo. "Aspectos básicos da modelagem multiescala de tecidos biológicos." Laboratório Nacional de Computação Científica, 2014. https://tede.lncc.br/handle/tede/206.

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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
Fundação Carlos Chagas Filho de Amparo à Pesquisa do Estado do Rio de Janeiro (FAPERJ)
A detailed mechanical behaviour of the arterial wall is required to gain insight on the onset and progress of some cardiovascular diseases as well as to propose adequate treatments. The classical constitutive modelling approach based purely on phenomenological laws fails in representing the micromechanical phenomena which dominates important aspects of these tissues such as remodelling and rupture. In turn, the multi-scale constitutive modelling raises as a more rational alternative that allows to consider the microscopic features and interactions of the basic unit blocks of the biological tissues such as the existence of the collagen fibres,pores, etc. In this work we review the non-linear solid mechanics fundamental concepts, the linearisation of the variational principles, numerical treatment of incompressibility constraint as well the continuum damage theory. A constitutive multi-scale theory based on the existence of Representative Volume Element in the finite strain regime is presented in a variational formulation framework, where homogenization for the displacement and deformation gradient are assumed as well the energetic coupling between scales through a extended version of the Hill-Mandel principle. In this context, a number of simulations are discussed. Finally, as corollary of the continuum mechanics framework, we derive a strategy for the damage field identification which is based on the sensibility analysis of a cost functional which takes account the displacement and energies diferences.
Sabe-se que o conhecimento do comportamento mecânico da parede arterial è fundamental para a compreensão de diversas doenças cardiovasculares bem como o planejamento adequado do tratamento destas. Contudo a modelagem da resposta constitutiva deste tecido é complexa sendo que a abordagem clássica baseada puramente em leis fenomenológicas _e insuficiente para representar fenômenos micromecânicos, os quais, ademais, dominam aspectos tais como remodelagem e ruptura. A modelagem multiescala de tecidos biológicos surge então como uma alternativa mais racional para representar a resposta constitutiva destes materiais levando-se em consideração aspectos microscópicos da organização do tecido como a existência de fibras de colágeno, poros, etc. Neste trabalho revisamos os conceitos fundamentais da mecânica dos sólidos não-linear incluindo a linearização dos princípios variacionais, bem como os aspectos básicos das teoria constitutiva em grandes deformações, passando pelo tratamento da condição de incompressibilidade e a teoria do dano contínuo. Uma teoria constitutiva multiescala baseada na homogenização em um Elemento de Volume Representativo em regime de grandes deformações é apresentada em um contexto de formulações variacionais, sendo assumida a homogeneização do campo de deslocamentos e do gradiente de deformação, além da consistência energética entre escalas baseada no princípio de Hill-Mandel. Neste contexto, diversas simulações são apresentadas e discutidas. Porém, como corolário da abordagem da mecânica do contínuo, mostramos uma estratégia para a identificação do campo de dano baseado na análise de sensibilidade de um funcional custo baseado nas diferenças de campos de deslocamentos e energia de deformação.
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Chen, Chun-Cheng Richard 1977. "Automated cardiovascular system identification." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/81537.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 64-65).
by Chun-Cheng Chen.
S.B.and M.Eng.
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Maa, Ming-Hokng 1977. "Alterations in cardiovascular regulation and function assessed using cardiovascular system identification." Thesis, Massachusetts Institute of Technology, 2000. http://hdl.handle.net/1721.1/86525.

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Thesis (S.B. and M.Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2000.
Includes bibliographical references (p. 65-67).
by Ming-Hokng Maa.
S.B.and M.Eng.
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Maksuti, Elira. "Imaging and modeling the cardiovascular system." Doctoral thesis, KTH, Medicinsk bildteknik, 2016. http://urn.kb.se/resolve?urn=urn:nbn:se:kth:diva-196538.

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Understanding cardiac pumping function is crucial to guiding diagnosis, predicting outcomes of interventions, and designing medical devices that interact with the cardiovascular system.  Computer simulations of hemodynamics can show how the complex cardiovascular system is influenced by changes in single or multiple parameters and can be used to test clinical hypotheses. In addition, methods for the quantification of important markers such as elevated arterial stiffness would help reduce the morbidity and mortality related to cardiovascular disease. The general aim of this thesis work was to improve understanding of cardiovascular physiology and develop new methods for assisting clinicians during diagnosis and follow-up of treatment in cardiovascular disease. Both computer simulations and medical imaging were used to reach this goal. In the first study, a cardiac model based on piston-like motions of the atrioventricular plane was developed. In the second study, the presence of the anatomical basis needed to generate hydraulic forces during diastole was assessed in heathy volunteers. In the third study, a previously validated lumped-parameter model was used to quantify the contribution of arterial and cardiac changes to blood pressure during aging. In the fourth study, in-house software that measures arterial stiffness by ultrasound shear wave elastography (SWE) was developed and validated against mechanical testing. The studies showed that longitudinal movements of the atrioventricular plane can well explain cardiac pumping and that the macroscopic geometry of the heart enables the generation of hydraulic forces that aid ventricular filling. Additionally, simulations showed that structural changes in both the heart and the arterial system contribute to the progression of blood pressure with age. Finally, the SWE technique was validated to accurately measure stiffness in arterial phantoms.

QC 20161115

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Zhang, Guoging 1963. "Knowledge based simulation system--an application in controlled environment simulation system." Thesis, The University of Arizona, 1988. http://hdl.handle.net/10150/292001.

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This thesis systematically identifies the building blocks of a knowledge based system for simulation and modelling. We present the design and implementation of Controlled Environment Simulation System (CESS), which bridges a discrete event simulation system (DEVS-SCHEME) and a continuous simulation system (TRNSYS). The rationale behind the approach is that a discrete or a continuous model can be abstracted to a level at which the uniform treatment on these two kinds of models is possible. A top-down approach to model creation (abstraction) is proposed, in contrast to the traditional bottom-up approach. CESS is implemented on an object-oriented programming environment (SCOOPS on TI-SCHEME). A knowledge representation scheme known as System Entity Structure is employed for MODEL management, recording system structural knowledge, and the utilization of techniques in Artificial Intelligence. Some prospective research topics are also brought up.
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Belote, Greg H. "Multivehicle simulation system." Thesis, Massachusetts Institute of Technology, 2008. http://hdl.handle.net/1721.1/45812.

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Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2008.
Includes bibliographical references (p. 39).
In this thesis, we designed and implemented a simulator that supports multiple robots within a dynamic environment. The goal of this tool is to provide a testing environment for navigational robots that run on the MOOS platform. The simulator is written in C++ and utilizes several open source libraries to create a virtual world for robots to interact with by faking sensor information. A design goal of this thesis has been to make the simulator versatile enough to be useful for a variety of robots, from land to marine. Such a tool is valuable in research because the cost of developing a custom simulator can consume too many man-hours. Reducing this cost by creating a generic and customizable simulator has been the main motivation behind this thesis. It has also been one of the major challenges behind the project.
by Greg H. Belote.
M.Eng.
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Books on the topic "Cardiovascular system - Computer simulation"

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Kerckhoffs, Roy C. P. Patient specific modeling of the cardiovascular system: Technology-driven personalized medicine. New York: Springer, 2010.

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Vrieze, O. J. A simulation model for the future analysis of cardiovascular disease. Utrecht: International Books, 1995.

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Darowski, Marek. Comprehensive models of cardiovascular and respiratory systems: Their mechanical support and interactions. New York: Nova Science, 2010.

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Modeling and simulation in biomedical engineering: Applications in cardiorespiratory physiology. New York: McGraw-Hill, 2011.

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Murray-Smith, D. J. Continuous system simulation. London: Chapman & Hall, 1995.

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Mammalian cardiovascular system simulation: A catastrophe theoretic approach with the matching simulation method. Winnipeg: Wuerz Publishing, 1993.

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Interactive dynamic-system simulation. 2nd ed. Boca Raton, FL: CRC Press, 2011.

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Continuous system simulation. New York, US: Springer, 2005.

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Korn, Granino Arthur. Interactive dynamic system simulation. New York: McGraw-Hill, 1989.

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Alfio, Quarteroni, Veneziani Alessandro, and SpringerLink (Online service), eds. Cardiovascular Mathematics: Modeling and simulation of the circulatory system. Milano: Springer-Verlag Milan, 2009.

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Book chapters on the topic "Cardiovascular system - Computer simulation"

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Fukui, Yasuhiro, Toru Masuzawa, Makoto Ozaki, and N. Ty Smith. "Digital Computer Simulation of Cardiovascular System in Bleeding Patient for Clinical Management." In Computing and Monitoring in Anesthesia and Intensive Care, 64–72. Tokyo: Springer Japan, 1992. http://dx.doi.org/10.1007/978-4-431-68201-1_17.

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Downey, J. M. "Delineating coronary hemodynamic mechanisms by computer simulation." In Developments in Cardiovascular Medicine, 373–88. Dordrecht: Springer Netherlands, 1987. http://dx.doi.org/10.1007/978-94-009-3313-2_23.

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Serpanos, D. N., M. Gambrili, and D. Chaviaras. "Simulation of Computer System Architectures." In Applied System Simulation, 41–60. Boston, MA: Springer US, 2003. http://dx.doi.org/10.1007/978-1-4419-9218-5_3.

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Voelker, Wolfram. "Computer Simulation as Training Tool for Coronary Interventions." In Catheter-Based Cardiovascular Interventions, 187–200. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-27676-7_13.

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Couesnon, T., D. Laurent, and S. Motet. "The Geo-Graph Simulation System." In Advanced Computer Graphics, 244–59. Tokyo: Springer Japan, 1986. http://dx.doi.org/10.1007/978-4-431-68036-9_17.

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Heintzen, Paul H., Rüdiger Brennecke, Joachim H. Bürsch, Hans J. Hahne, Dietrich W. G. Onnasch, and Klaus Moldenhauer. "Three-dimensional analysis of the cardiovascular system." In Simulation and Imaging of the Cardiac System, 151–73. Dordrecht: Springer Netherlands, 1985. http://dx.doi.org/10.1007/978-94-009-4992-8_12.

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Chen, Shanzhi, Fei Qin, Bo Hu, Xi Li, Zhonglin Chen, and Jiamin Liu. "Simulation and System Solution." In SpringerBriefs in Electrical and Computer Engineering, 57–71. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-61201-0_7.

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Hill, Richard, and Stuart Berry. "From Process to System Simulation." In Texts in Computer Science, 101–25. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79104-9_6.

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Watanabe, Tadashi, Etsuo Kume, and Katsumi Kato. "Simulation Monitoring System Using AVS." In Lecture Notes in Computer Science, 990–99. Berlin, Heidelberg: Springer Berlin Heidelberg, 2002. http://dx.doi.org/10.1007/3-540-46043-8_100.

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Okol’nishnikov, Victor, and Sergey Rudometov. "Development of Distributed Simulation System." In Lecture Notes in Computer Science, 524–27. Berlin, Heidelberg: Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-540-45145-7_49.

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Conference papers on the topic "Cardiovascular system - Computer simulation"

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Srinivasan, R. Srini, John B. Charles, and Joel I. Leonard. "Computer Simulation of Cardiovascular Changes During Extended Duration Space Flights." In International Conference On Environmental Systems. 400 Commonwealth Drive, Warrendale, PA, United States: SAE International, 1990. http://dx.doi.org/10.4271/901359.

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Fazeli, Nima, Chang-Sei Kim, and Jin-Oh Hahn. "Non-Invasive Estimation of Central Blood Pressure Waveform Using a Dual Diametric Cuff System: A Preliminary Study." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16127.

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Central blood pressure (BP) is clinically more relevant than peripheral BP in predicting risk factors of cardiovascular (CV) health. However, peripheral BP waveforms can be measured more easily. Thus, there has been great interest in analytically deriving central BP waveform from peripheral BP waveforms.
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Saikrishnan, Neelakantan, Jean-Pierre Rabbah, Paul Gunning, Ikay Okafor, Arvind Santhanakrishnan, Laoise McNamara, and Ajit P. Yoganathan. "Experimental Platforms for Validation of Computational Approaches to Simulating Cardiovascular Flows." In ASME 2013 Conference on Frontiers in Medical Devices: Applications of Computer Modeling and Simulation. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/fmd2013-16028.

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This paper describes three different versions of left heart simulators that have been developed at the Cardiovascular Fluid Mechanics Laboratory at Georgia Institute of Technology, specifically designed to provide high fidelity experimental datasets necessary for rigorous validation of computational tools. These systems are capable of simulating physiological and pathological flow, pressure and geometric conditions, and can be investigated using a variety of experimental tools to measure relevant biomechanical quantities. The development of such robust simulators is a critical step in ensuring applicability of patient specific computational tools.
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Stork, Milan. "Simulation of ECG and cardiovascular system." In 2017 6th Mediterranean Conference on Embedded Computing (MECO). IEEE, 2017. http://dx.doi.org/10.1109/meco.2017.7977144.

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Deepankaew, Ronnachit, and Phornphop Naiyanetr. "The simulation of cardiovascular system for physiology study." In 2014 7th Biomedical Engineering International Conference (BMEiCON). IEEE, 2014. http://dx.doi.org/10.1109/bmeicon.2014.7017430.

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Sankaran, Sethuraman, Jeffrey A. Feinstein, and Alison L. Marsden. "A Computational Technique for Uncertainty Quantification and Robust Design in Cardiovascular Systems." In ASME 2009 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2009. http://dx.doi.org/10.1115/sbc2009-204873.

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Numerical simulations of blood flow in the human cardiovascular system are usually performed using custom Finite element methods and specialized boundary conditions. These simulations are performed to (a) understand the physics of blood flow in the human cardiovascular system and (b) a priori testing of proposed treatments/interventions whether surgical or endovascular. To perform these simulations, we require prior knowledge of parameters such as cardiovascular geometry, boundary conditions (inflow/outflow/pressure), etc. In the past, researchers have assumed exact values for these parameters. However, in reality, each of these parameters is uncertain. For example, inflow conditions into the model are dictated by the heart rate and cardiac output of the patient. Even during rest, there are variations in cardiac output and hence the corresponding blood inflow velocities need to be modeled as a random variable. Additionally, the cardiovascular geometry is built based on MRI-images. These are subject to uncertainties due to noise in the data and variability between users during model construction. We develop a computational toolbox that can account for uncertainties in such parameters in hemodynamic simulations. The uncertainties examined in this work include i) variation and accuracy of image-based model geometry ii) variability in inflow condition of the patient and iii) variability in the implementation of the final surgical design. The last source of uncertainty stems from the fact that optimally designed surgical parameters may not be exactly implemented in the operating room. We show numerical examples of (a) blood flow in stenotic vessels (b) effect of uncertainty in carotid sinus size on blood flow and (iii) develop a stochastic optimization technique to compute optimal parameters of an idealized Y-graft model for the Fontan surgery accounting for sources of uncertainties listed above.
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Tache, Irina-Andra, and Diana Zamfir. "Patient specific modeling of the cardiovascular system." In 2013 2nd International Conference on Systems and Computer Science (ICSCS). IEEE, 2013. http://dx.doi.org/10.1109/icconscs.2013.6632022.

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Tan, Kean Eng, Samer Yahya, Haider A. F. Almurib, and Mahmoud Moghavvemi. "Modelling of human cardiovascular system in ventricular assist device simulation." In 2016 IEEE Industrial Electronics and Applications Conference (IEACon). IEEE, 2016. http://dx.doi.org/10.1109/ieacon.2016.8067396.

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Telyshev, Dmitry, and Alexander Pugovkin. "Automated system for control and simulation of physiological cardiovascular parameters." In 2017 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering (EIConRus). IEEE, 2017. http://dx.doi.org/10.1109/eiconrus.2017.7910499.

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Htet, Zwe Lin, and Phornphop Naiyanetr. "Hemodynamic simulation of cardiovascular system during rotary blood pump support." In 2013 6th Biomedical Engineering International Conference (BMEiCON). IEEE, 2013. http://dx.doi.org/10.1109/bmeicon.2013.6687652.

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Reports on the topic "Cardiovascular system - Computer simulation"

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Kettering, B., and P. Van Arsdall. Integrated computer control system startup simulation. Office of Scientific and Technical Information (OSTI), February 1998. http://dx.doi.org/10.2172/8307.

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Kettering, B., and P. Van Arsdall. Integrated computer control system status monitor simulation. Office of Scientific and Technical Information (OSTI), September 1998. http://dx.doi.org/10.2172/8308.

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Van Arsdall, P., and C. E. Annese. Integrated computer control system countdown status messages simulation. Office of Scientific and Technical Information (OSTI), October 1998. http://dx.doi.org/10.2172/8047.

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Bilgutay, Nihat M. Computer Facilities for High-Speed Data Acquisition, Signal Processing and Large Scale System Simulation. Fort Belvoir, VA: Defense Technical Information Center, June 1986. http://dx.doi.org/10.21236/ada170935.

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Ford, Richard L., and W. Ralph Nelson. The EGS Code System: Computer Programs for the Monte Carlo Simulation of Electromagnetic Cascade Showers (Version 3). Office of Scientific and Technical Information (OSTI), August 2006. http://dx.doi.org/10.2172/1104725.

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Middlebrooks, Sam E., Beverly G. Knapp, B. Diane Barnette, Cheryl A. Bird, and Joyce M. Johnson. CoHOST (Computer Modeling of Human Operator System Tasks) Computer Simulation Models to Investigate Human Performance Task and Workload Conditions in a U.S. Army Heavy Maneuver Battalion Tactical Operations Center. Fort Belvoir, VA: Defense Technical Information Center, August 1999. http://dx.doi.org/10.21236/ada368587.

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