Bibliografie tematiche / Cardiovascular system - Computer simulation

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Letteratura scientifica selezionata sul tema "Cardiovascular system - Computer simulation"

Autore: Grafiati
Pubblicato: 4 giugno 2021
Ultima modifica: 5 febbraio 2022

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Articoli di riviste sul tema "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 b
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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 (CAR
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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 b
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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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Tesi sul tema "Cardiovascular system - Computer simulation"

1

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 co
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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
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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 cardiovascul
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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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Submitted by Maria Cristina (library@lncc.br) on 2015-04-13T16:28:06Z No. of bitstreams: 1 dissertacao_FFRocha.pdf: 10965507 bytes, checksum: 0c9b75c0c343c1c5b3566a928d643e28 (MD5)<br>Approved for entry into archive by Maria Cristina (library@lncc.br) on 2015-04-13T16:28:19Z (GMT) No. of bitstreams: 1 dissertacao_FFRocha.pdf: 10965507 bytes, checksum: 0c9b75c0c343c1c5b3566a928d643e28 (MD5)<br>Made available in DSpace on 2015-04-13T16:28:28Z (GMT). No. of bitstreams: 1 dissertacao_FFRocha.pdf: 10965507 bytes, checksum: 0c9b75c0c343c1c5b3566a928d643e28 (MD5) Previous issue date: 2014-12-1
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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.<br>Includes bibliographical references (p. 64-65).<br>by Chun-Cheng Chen.<br>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.<br>Includes bibliographical references (p. 65-67).<br>by Ming-Hokng Maa.<br>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 i
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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
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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.<br>Includes bibliographical references (p. 39).<br>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 mak
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Libri sul tema "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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Capitoli di libri sul tema "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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Atti di convegni sul tema "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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Abstract (sommario):
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
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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
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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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Rapporti di organizzazioni sul tema "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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