Relevant bibliographies by topics / Cardiovascular modeling

Contents

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

Academic literature on the topic 'Cardiovascular modeling'

Author: Grafiati
Published: 4 June 2021
Last updated: 14 March 2023

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Journal articles on the topic "Cardiovascular modeling"

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Xia, Ling, Alan Murray, Dingchang Zheng, Feng Liu, Xuesong Ye, and Gangmin Ning. "Cardiovascular System Modeling." Computational and Mathematical Methods in Medicine 2012 (2012): 1–2. http://dx.doi.org/10.1155/2012/583172.

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Muhlbaier, Lawrence H., and David B. Pryor. "Data for cardiovascular modeling." Journal of the American College of Cardiology 14, no. 3 (September 1989): A60—A64. http://dx.doi.org/10.1016/0735-1097(89)90166-6.

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Marsden, Alison L. "Optimization in Cardiovascular Modeling." Annual Review of Fluid Mechanics 46, no. 1 (January 3, 2014): 519–46. http://dx.doi.org/10.1146/annurev-fluid-010313-141341.

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Soares, Joao S., Salvatore Pasta, David A. Vorp, and James E. Moore. "Modeling in cardiovascular biomechanics." International Journal of Engineering Science 48, no. 11 (November 2010): 1563–75. http://dx.doi.org/10.1016/j.ijengsci.2010.06.006.

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Pletcher, Mark J. "Modeling Cardiovascular Disease Prevention." JAMA 303, no. 9 (March 3, 2010): 835. http://dx.doi.org/10.1001/jama.2010.188.

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Hingorani, Aroon D. "Modeling Cardiovascular Disease Prevention—Reply." JAMA 303, no. 9 (March 3, 2010): 835. http://dx.doi.org/10.1001/jama.2010.189.

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Eckberg, Dwain L. "Arterial Baroreflexes and Cardiovascular Modeling." Cardiovascular Engineering 8, no. 1 (December 15, 2007): 5–13. http://dx.doi.org/10.1007/s10558-007-9042-8.

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Lippi, Melania, Ilaria Stadiotti, Giulio Pompilio, and Elena Sommariva. "Human Cell Modeling for Cardiovascular Diseases." International Journal of Molecular Sciences 21, no. 17 (September 2, 2020): 6388. http://dx.doi.org/10.3390/ijms21176388.

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The availability of appropriate and reliable in vitro cell models recapitulating human cardiovascular diseases has been the aim of numerous researchers, in order to retrace pathologic phenotypes, elucidate molecular mechanisms, and discover therapies using simple and reproducible techniques. In the past years, several human cell types have been utilized for these goals, including heterologous systems, cardiovascular and non-cardiovascular primary cells, and embryonic stem cells. The introduction of induced pluripotent stem cells and their differentiation potential brought new prospects for large-scale cardiovascular experiments, bypassing ethical concerns of embryonic stem cells and providing an advanced tool for disease modeling, diagnosis, and therapy. Each model has its advantages and disadvantages in terms of accessibility, maintenance, throughput, physiological relevance, recapitulation of the disease. A higher level of complexity in diseases modeling has been achieved with multicellular co-cultures. Furthermore, the important progresses reached by bioengineering during the last years, together with the opportunities given by pluripotent stem cells, have allowed the generation of increasingly advanced in vitro three-dimensional tissue-like constructs mimicking in vivo physiology. This review provides an overview of the main cell models used in cardiovascular research, highlighting the pros and cons of each, and describing examples of practical applications in disease modeling.
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Han, Yanxiao, Gonzalo Hernandez-Hernandez, Pei-Chi Yang, John R. D. Dawson, Kevin R. DeMarco, Kyle C. Rouen, Khoa Ngo, et al. "Multiscale modeling of sympathetic cardiovascular stimulation." Biophysical Journal 121, no. 3 (February 2022): 286a. http://dx.doi.org/10.1016/j.bpj.2021.11.1316.

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Taylor, C. A., and C. A. Figueroa. "Patient-Specific Modeling of Cardiovascular Mechanics." Annual Review of Biomedical Engineering 11, no. 1 (August 2009): 109–34. http://dx.doi.org/10.1146/annurev.bioeng.10.061807.160521.

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Dissertations / Theses on the topic "Cardiovascular modeling"

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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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FEVOLA, ELISA. "Boundary conditions estimation techniques for cardiovascular modeling." Doctoral thesis, Politecnico di Torino, 2022. http://hdl.handle.net/11583/2972100.

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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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Zamanian, Sam Ahmad. "Modeling and simulating human cardiovascular response to acceleration." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40536.

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Thesis (S.M.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
Includes bibliographical references (p. 95-98).
The human cardiovascular system routinely encounters conditions that cause it to adapt. For example, when an astronaut enters microgravity, his/her cardiovascular system adapts rapidly to the weightless environment with no functional impairment. This adaptation is entirely appropriate while in space. However, it predisposes astronauts to problems when they return. It has been suggested that the regimen for astronauts on long-duration space travel include periods of artificial acceleration via centrifugation, in order to maintain some exposure to a gravitational gradient and thus ameliorate some of the physiological consequences of exposure to microgravity. To design such an intervention, it is desirable to know and understand, as well as to predict the cardiovascular response to centrifugation stress. A reasonably compartmentalized mathematical model of the cardiovascular system that represents these conditions is presented, which will allow for understanding and predicting cardiovascular behavior under such conditions. We validated our simulations against human data and showed that our results closely matched the experimental data. Upon validation, we used our model to predict the response of the cardiovascular system to levels of stress that cannot yet be tested on human subjects.
by Sam Ahmad Zamanian.
S.M.
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Boilevin-Kayl, Ludovic. "Modeling and numerical simulation of implantable cardiovascular devices." Thesis, Sorbonne université, 2019. http://www.theses.fr/2019SORUS039.

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Cette thèse, réalisée dans le cadre du projet Mivana, est consacrée à la modélisation et à la simulation numérique de dispositifs cardiaques implantables. Ce projet est mené par les start-up Kephalios et Epygon, concepteurs de solutions chirurgicales non invasives pour le traitement de la régurgitation mitrale. La conception et la simulation de tels dispositifs nécessitent des méthodes numériques efficaces et précises capables de calculer correctement l’hémodynamique cardiaque. C’est le but principal de cette thèse. Dans la première partie, nous décrivons le système cardiovasculaire et les valves cardiaques avant de présenter quelques éléments de théorie concernant la modélisation mathématique de l’hémodynamique cardiaque. En fonction du degré de complexité adopté pour la modélisation des feuillets de la valve, deux approches sont identifiées : le modèle de surfaces résistives immergées et le modèle complet d’interaction fluide-structure. Dans la deuxième partie, nous étudions la première approche qui consiste à combiner une modélisation réduite de la dynamique des valves avec un découplage cinématique de l’hémodynamique cardiaque et de l’électromécanique. Nous l’enrichissons de données physiologiques externes pour la simulation correcte des phases isovolumétriques, pierres angulaires du battement cardiaque, permettant d’obtenir un modèle relativement précis qui évite la complexité des problèmes entièrement couplés. Ensuite, une série d’essais numériques sur des géométries 3D physiologiques, impliquant la régurgitation mitrale et plusieurs configurations de valves immergées, illustre la performance du modèle proposé. Dans la troisième et dernière partie, des modèles complets d’interaction fluide-structure sont considérés. Ce type de modélisation est nécessaire pour étudier des problèmes plus complexes où la précédente approche n’est plus satisfaisante, comme par exemple le prolapsus de la valve mitrale ou la fermeture d’une valve mécanique. D’un point de vue numérique, le développement de méthodes précises et efficaces est indispensable pour pouvoir simuler de tels cas physiologiques. Nous considérons alors une étude numérique complète dans laquelle plusieurs méthodes de maillages non compatibles sont comparées. Puis, nous présentons un nouveau schéma de couplage explicite dans le cadre d’une méthode de type domaine fictif pour lequel la stabilité inconditionnelle au sens de la norme en énergie est démontrée. Plusieurs exemples numériques en 2D sont proposés afin d’illustrer les propriétés et les performances de ce schéma. Enfin, cette méthode est finalement utilisée pour la simulation numérique 2D et 3D de dispositifs cardiovasculaires implantables dans un modèle complet d’interaction fluide-structure
This thesis, taking place in the context of the Mivana project, is devoted to the modeling and to the numerical simulation of implantable cardiovascular devices. This project is led by the start-up companies Kephalios and Epygon, conceptors of minimally invasive surgical solutions for the treatment of mitral regurgitation. The design and the simulation of such devices call for efficient and accurate numerical methods able to correctly compute cardiac hemodynamics. This is the main purpose of this thesis. In the first part, we describe the cardiovascular system and the cardiac valves before presenting some standard material for the mathematical modeling of cardiac hemodynamics. Based on the degree of complexity adopted for the modeling of the valve leaflets, two approaches are identified: the resistive immersed surfaces model and the complete fluidstructure interaction model. In the second part, we investigate the first approach which consists in combining a reduced modeling of the valves dynamics with a kinematic uncoupling of cardiac hemodynamics and electromechanics. We enhance it with external physiological data for the correct simulation of isovolumetric phases, cornerstones of the heartbeat, resulting in a relatively accurate model which avoids the complexity of fully coupled problems. Then, a series of numerical tests on 3D physiological geometries, involving mitral regurgitation and several configurations of immersed valves, illustrates the performance of the proposed model. In the third and final part, complete fluid-structure interaction models are considered. This type of modeling is necessary when investigating more complex problems where the previous approach is no longer satisfactory, such as mitral valve prolapse or the closing of a mechanical valve. From the numerical point of view, the development of accurate and efficient methods is mandatory to be able to compute such physiological cases. We then consider a complete numerical study in which several unfitted meshes methods are compared. Next, we present a new explicit coupling scheme in the context of the fictitious domain method for which the unconditional stability in the energy norm is proved. Several 2D numerical examples are provided to illustrate the properties and the performance of this scheme. Last, this method is finally used for 2D and 3D numerical simulation of implantable cardiovascular devices in a complete fluid-structure interaction framework
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Wang, Siqi. "NONINVASIVE ASSESSMENT AND MODELING OF DIABETIC CARDIOVASCULAR AUTONOMIC NEUROPATHY." UKnowledge, 2012. http://uknowledge.uky.edu/cbme_etds/5.

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Noninvasive assessment of diabetic cardiovascular autonomic neuropathy (AN): Cardiac and vascular dysfunctions resulting from AN are complications of diabetes, often undiagnosed. Our objectives were to: 1) determine sympathetic and parasympathetic components of compromised blood pressure regulation in patients with polyneuropathy, and 2) rank noninvasive indexes for their sensitivity in diagnosing AN. Continuous 12-lead electrocardiography (ECG), blood pressure (BP), respiration, regional blood flow and bio-impedance were recorded from 12 able-bodied subjects (AB), 7 diabetics without (D0), 7 with possible (D1) and 8 with definite polyneuropathy (D2), during 10 minutes supine control, 30 minutes 70-degree head-up tilt and 5 minutes supine recovery. During the first 3 minutes of tilt, systolic BP decreased in D2 while increased in AB. Parasympathetic control of heart rate, baroreflex sensitivity, and baroreflex effectiveness and sympathetic control of heart rate and vasomotion were reduced in D2, compared with AB. Baroreflex effectiveness index was identified as the most sensitive index to discriminate diabetic AN. Four-dimensional multiscale modeling of ECG indexes of diabetic autonomic neuropathy: QT interval prolongation which predicts long-term mortality in diabetics with AN, is well known. The mechanism of QT interval prolongation is still unknown, but correlation of regional sympathetic denervation of the heart (revealed by cardiac imaging) with QT interval in 12-lead ECG has been proposed. The goal of this study is to 1) reproduce QT interval prolongation seen in diabetics, and 2) develop a computer model to link QT interval prolongation to regional cardiac sympathetic denervation at the cellular level. From the 12-lead ECG acquired in the study above, heart rate-corrected QT interval (QTc) was computed and a reduced ionic whole heart mathematical model was constructed. Twelve-lead ECG was produced as a forward solution from an equivalent cardiac source. Different patterns of regional denervation in cardiac images of diabetic patients guided the simulation of pathological changes. Minimum QTc interval of lateral leads tended to be longer in D2 than in AB. Prolonging action potential duration in the basal septal region in the model produced ECG and QT interval similar to that of D2 subjects, suggesting sympathetic denervation in this region in patients with definite neuropathy.
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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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Parlikar, Tushar Anil 1978. "Modeling and monitoring of cardiovascular dynamics for patients in critical care." Thesis, Massachusetts Institute of Technology, 2007. http://hdl.handle.net/1721.1/40859.

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Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2007.
This electronic version was submitted by the student author. The certified thesis is available in the Institute Archives and Special Collections.
Includes bibliographical references (p. 231-239).
In modern intensive care units (ICUs) a vast and varied amount of physiological data is measured and collected, with the intent of providing clinicians with detailed information about the physiological state of each patient. The data include measurements from the bedside monitors of heavily instrumented patients, imaging studies, laboratory test results, and clinical observations. The clinician's task of integrating and interpreting the data, however, is complicated by the sheer volume of information and the challenges of organizing it appropriately. This task is made even more difficult by ICU patients' frequently-changing physiological state. Although the extensive clinical information collected in ICUs presents a challenge, it also opens up several opportunities. In particular, we believe that physiologically-based computational models and model-based estimation methods can be harnessed to better understand and track patient state. These methods would integrate a patient's hemodynamic data streams by analyzing and interpreting the available information, and presenting resultant pathophysiological hypotheses to the clinical staff in an effcient manner. In this thesis, such a possibility is developed in the context of cardiovascular dynamics. The central results of this thesis concern averaged models of cardiovascular dynamics and a novel estimation method for continuously tracking cardiac output and total peripheral resistance. This method exploits both intra-beat and inter-beat dynamics of arterial blood pressure, and incorporates a parametrized model of arterial compliance. We validated our method with animal data from laboratory experiments and ICU patient data.
(cont.) The resulting root-mean-square-normalized errors -- at most 15% depending on the data set -- are quite low and clinically acceptable. In addition, we describe a novel estimation scheme for continuously monitoring left ventricular ejection fraction and left ventricular end-diastolic volume. We validated this method on an animal data set. Again, the resulting root-mean-square-normalized errors were quite low -- at most 13%. By continuously monitoring cardiac output, total peripheral resistance, left ventricular ejection fraction, left ventricular end-diastolic volume, and arterial blood pressure, one has the basis for distinguishing between cardiogenic, hypovolemic, and septic shock. We hope that the results in this thesis will contribute to the development of a next-generation patient monitoring system.
by Tushar Anil Parlikar.
Ph.D.
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GUALA, ANDREA. "Mathematical modelling of cardiovascular fluid mechanics: physiology, pathology and clinical practice." Doctoral thesis, Politecnico di Torino, 2015. http://hdl.handle.net/11583/2615064.

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The cardiovascular apparatus is a complex dynamical system that carries oxygen and nutrients to cells, removes carbon dioxide and wastes and performs several other tasks essential for life. The physically-based modelling of the cardiovascular system has a long history, which begins with the simple lumped Windkessel model by O. Frank in 1899. Since then, the development has been impressive and a great variety of mathematical models have been proposed. The purpose of this Thesis is to analyse and develop two different mathematical models of the cardiovascular system able to (i) shed new light into cardiovascular ageing and atrial fibrillation and to (ii) be used in clinical practice. To this aim, in-house codes have been implemented to describe a lumped model of the complete circulation and a multi-scale (1D/0D) model of the left ventricle and the arterial system. We then validate each model. The former is validated against literature data, while the latter against both literature data and numerous in-vivo non-invasive pressure measurements on a population of six healthy young subjects. Afterwards, the confirmed effectiveness of the models has been exploited. The lumped model has been used to analyse the effect of atrial fibrillation. The multi-scale one has been used to analyse the effect of ageing and to test the feasibility of clinical use by means of central-pressure blind validation of a parameter setting unambiguously defined with only non-invasive measurements on a population of 52 healthy young men. All the applications have been successful, confirming the effectiveness of this approach. Pathophysiology studies could include mathematical model in their setting, and clinical use of multi-scale mathematical model is feasible.
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Lindgren, Peter. "Modeling the economics of prevention /." Stockholm, 2005. http://diss.kib.ki.se/2005/91-7140-352-3/.

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Books on the topic "Cardiovascular modeling"

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Kerckhoffs, Roy C. P., ed. Patient-Specific Modeling of the Cardiovascular System. New York, NY: Springer New York, 2010. http://dx.doi.org/10.1007/978-1-4419-6691-9.

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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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Guccione, Julius M. Computational Cardiovascular Mechanics: Modeling and Applications in Heart Failure. Boston, MA: Springer Science+Business Media, LLC, 2010.

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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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Boffi, Daniele, Luca F. Pavarino, Gianluigi Rozza, Simone Scacchi, and Christian Vergara, eds. Mathematical and Numerical Modeling of the Cardiovascular System and Applications. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-96649-6.

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Alfio, Quarteroni, Rozza Gianluigi, and SpringerLink (Online service), eds. Modeling of Physiological Flows. Milano: Springer Milan, 2012.

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

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Gluckstein, Fritz P. Modeling in biomedical research: Applications to studies in cardiovascular/pulmonary function and diabetes : January 1986 through March 1989, 830 citations. Bethesda, Md: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, National Library of Medicine, Reference Section, 1989.

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National Institutes of Health (U.S.). Office of Medical Applications of Research. Modeling in biomedical research: An assessment of current and potential approaches : applications to studies in cardiovascular/pulmonary function and diabetes, May 1-3, 1989. Bethesda, MD: U.S. Department of Health and Human Services, Public Health Service, National Institutes of Health, Office of Medical Applications of Research, 1989.

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National Institutes of Health (U.S.). Office of Medical Applications of Research., ed. Modeling in biomedical research: An assessment of current and potential approaches : applications to studies in cardiovascular/pulmonary function and diabetes, May 1-3, 1989. Bethesda, MD: U.S. Dept. of Health and Human Services, Public Health Service, National Institutes of Health, Office of Medical Applications of Research, 1989.

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Book chapters on the topic "Cardiovascular modeling"

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Biglino, Giovanni, Silvia Schievano, Vivek Muthurangu, and Andrew Taylor. "Cardiovascular Modeling." In Clinical Cardiac MRI, 669–94. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/174_2011_424.

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Devasahayam, Suresh R. "Cardiovascular Blood Flow Modeling." In Signals and Systems in Biomedical Engineering: Physiological Systems Modeling and Signal Processing, 411–33. Singapore: Springer Singapore, 2019. http://dx.doi.org/10.1007/978-981-13-3531-0_14.

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Devasahayam, Suresh R. "Modeling the Cardiovascular System." In Topics in Biomedical Engineering International Book Series, 309–20. Boston, MA: Springer US, 2000. http://dx.doi.org/10.1007/978-1-4615-4299-5_14.

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Thiriet, Marc. "Cardiovascular Physiology." In Biomathematical and Biomechanical Modeling of the Circulatory and Ventilatory Systems, 157–352. New York, NY: Springer New York, 2013. http://dx.doi.org/10.1007/978-1-4614-9469-0_3.

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Danilov, A. A., R. A. Pryamonosov, and A. S. Yurova. "Segmentation Techniques for Cardiovascular Modeling." In Trends in Biomathematics: Modeling, Optimization and Computational Problems, 49–58. Cham: Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-91092-5_4.

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Adam, Dan, and Samuel Sideman. "Modeling of Cellular and Intercellular Propagation." In Developments in Cardiovascular Medicine, 13–28. Boston, MA: Springer US, 1991. http://dx.doi.org/10.1007/978-1-4615-3894-3_2.

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Creane, Arthur, Daniel J. Kelly, and Caitríona Lally. "Patient Specific Computational Modeling in Cardiovascular Mechanics." In Patient-Specific Computational Modeling, 61–79. Dordrecht: Springer Netherlands, 2012. http://dx.doi.org/10.1007/978-94-007-4552-0_3.

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Chen, Henry Y., Luoding Zhu, Yunlong Huo, Yi Liu, and Ghassan S. Kassab. "Fluid–Structure Interaction (FSI) Modeling in the Cardiovascular System." In Computational Cardiovascular Mechanics, 141–57. Boston, MA: Springer US, 2009. http://dx.doi.org/10.1007/978-1-4419-0730-1_9.

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Schmidt, Albrecht G., Vivek J. Kadambi, Karen B. Young, and Evangelia G. Kranias. "Genetic Alterations and Modeling of Cardiovascular Physiology." In Developments in Cardiovascular Medicine, 17–38. Boston, MA: Springer US, 2001. http://dx.doi.org/10.1007/978-1-4615-1653-8_2.

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Knee-Walden, Ericka Jayne, Karl Wagner, Qinghua Wu, Naimeh Rafatian, and Milica Radisic. "Microfabricated Systems for Cardiovascular Tissue Modeling." In Advanced Technologies in Cardiovascular Bioengineering, 193–232. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-86140-7_10.

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Conference papers on the topic "Cardiovascular modeling"

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Pouladian, M., and A. A. Tehrani-Fard. "Conceptual Modeling of Cardiovascular Sounds." In 2005 IEEE Engineering in Medicine and Biology 27th Annual Conference. IEEE, 2005. http://dx.doi.org/10.1109/iembs.2005.1616927.

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Codrean, Alexandru, and Toma-Leonida Dragomir. "Averaged modeling of the cardiovascular system." In 2013 IEEE 52nd Annual Conference on Decision and Control (CDC). IEEE, 2013. http://dx.doi.org/10.1109/cdc.2013.6760186.

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Hopkins, Caroline G., Peter E. McHugh, and J. Patrick McGarry. "Computer Modeling of Cardiovascular Stent Coating Damage." In ASME 2008 Summer Bioengineering Conference. American Society of Mechanical Engineers, 2008. http://dx.doi.org/10.1115/sbc2008-192880.

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Abstract:
In this paper computational simulations of stent coating debonding are presented. Finite element methods are implemented to model coating delamination during stent crimping, deployment and recoil. Gold, titanium and polymer coatings of differing thicknesses are explicitly modeled. The interfacial relationship between the stent surface and the coating during crimping and deployment is simulated using a cohesive zone model.
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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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"NONLINEAR MODELING OF CARDIOVASCULAR RESPONSE TO EXERCISE." In International Conference on Bio-inspired Systems and Signal Processing. SciTePress - Science and and Technology Publications, 2008. http://dx.doi.org/10.5220/0001059000400046.

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Timms, D. L., S. D. Gregory, M. C. Stevens, and J. F. Fraser. "Haemodynamic modeling of the cardiovascular system using mock circulation loops to test cardiovascular devices." In 2011 33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE, 2011. http://dx.doi.org/10.1109/iembs.2011.6091068.

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Christopher, Hann,. "Model-Based Therapeutics for the Cardiovascular System - a Clinical Focus." In Modeling and Control in Biomedical Systems, edited by Rees, Stephen, chair Andreassen, Steen and Andreassen, Steen. Elsevier, 2009. http://dx.doi.org/10.3182/20090812-3-dk-2006.00044.

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Kossovich, Leonid Yu, Irina V. Kirillova, Anastasiya A. Golyadkina, Asel V. Polienko, Natalia O. Chelnokova, Dmitriy V. Ivanov, and Vladimir V. Murylev. "Patient-specific modeling of human cardiovascular system elements." In SPIE BiOS, edited by Kirill V. Larin and David D. Sampson. SPIE, 2016. http://dx.doi.org/10.1117/12.2208426.

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Pogorevici, A., A. Juratoni, and O. Bundău. "Mathematical modeling and analysis of a cardiovascular system." In NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2012: International Conference of Numerical Analysis and Applied Mathematics. AIP, 2012. http://dx.doi.org/10.1063/1.4756334.

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Gutta, Sandeep, Qi Cheng, and Bruce A. Benjamin. "Control mechanism modeling of human cardiovascular-respiratory system." In 2015 IEEE Global Conference on Signal and Information Processing (GlobalSIP). IEEE, 2015. http://dx.doi.org/10.1109/globalsip.2015.7418331.

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Reports on the topic "Cardiovascular modeling"

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Convertino, Victor A. Modeling of Arterial Baroceptor Feedback in a Hydromec Cardiovascular Pulse Duplicator System. Fort Belvoir, VA: Defense Technical Information Center, September 1997. http://dx.doi.org/10.21236/ada329508.

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