Modeling the cardiopulmonary-arterial baroreflexes
Modeling the cardiopulmonary-arterial baroreflexes
Disciplines
Mathematics (60%); Medical-Theoretical Sciences, Pharmacy (40%)
Keywords
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Cardiovascular,
Mathematical modeling,
Respiratory,
Parameter identification,
Control
The objective of this project is to develop a physiologically based mathematical model of the cardiovascular system (CVS) that can be applied to study the short-term control of hypovolemic stress. The primary goal will be to develop a model that can quantitatively reflect the interaction of the cardiopulmonary and arterial baroreflexes which are key elements in the response to hypovolemic stress. These interactions which include an influence on the recruitment of unstressed volume, have not been adequately described quantitatively. Such a quantitative description would allow for the identification of key mechanisms and parameters in CVS short-term control and make possible the design of optimal algorithms to stabilize the CVS when a hypovolemic challenge occurs. This model will be directly applicable to the problem of developing strategies for analyzing and treating clinical problems that arise in CVS short-term control. During acute hypovolemia (due either to reduced or sequestered blood volume), venous return falls, affecting CVS function and leading to a drop in arterial pressure. A number of quick acting interdependent control mechanisms are recruited to maintain CVS function and restore pressure and their independent effects are not always consistent nor are their interactions always mutually supportive. This short-term control is the first stage of overall CVS system control. As hypovolemic stress persist mid-term and long-term (time-wise) controls are recruited as well. Control problems that arise that are closely connected to the mechanisms of blood volume and pressure control include stabilization of blood pressure during orthostasis, hemodialysis, and after acute hemorrhage. This project will utilize a wide range of clinical data reflecting a number of conditions. With our National Partners (NP) we plan to carry out a set of experiments to validate the model for healthy individuals. We also will have access to a large data base of CVS measurements reflecting dysfunction in various aspects of short-term control. This data provided by our NP will allow for the study of various interactions or isolation of control mechanisms. Such data provides the necessary data base for model validation and the model developed should represent an important improvement over current models that do not adequately address the nature of the interaction of the various control loops. Clinical application of the model revolves around a cluster of problems the common feature of which is short-term low blood volume challenge to cardiovascular stability. These include Orthostatic Intolerance and Postural Tachycardia Syndrome. The model developed in this project will quantify short-term blood volume and pressure control, and provide the analytical basis for a sensitivity analysis to reveal key parameters which will aid in devising submodels which will have direct near term clinical applications.
The objective of this project is to develop a physiologically based mathematical model of the cardiovascular system (CVS) that can be applied to study the short-term control of hypovolemic stress. The primary goal will be to develop a model that can quantitatively reflect the interaction of the cardiopulmonary and arterial baroreflexes which are key elements in the response to hypovolemic stress. These interactions which include an influence on the recruitment of unstressed volume, have not been adequately described quantitatively. Such a quantitative description would allow for the identification of key mechanisms and parameters in CVS short-term control and make possible the design of optimal algorithms to stabilize the CVS when a hypovolemic challenge occurs. This model will be directly applicable to the problem of developing strategies for analyzing and treating clinical problems that arise in CVS short-term control. During acute hypovolemia (due either to reduced or sequestered blood volume), venous return falls, affecting CVS function and leading to a drop in arterial pressure. A number of quick acting interdependent control mechanisms are recruited to maintain CVS function and restore pressure and their independent effects are not always consistent nor are their interactions always mutually supportive. This short-term control is the first stage of overall CVS system control. As hypovolemic stress persist mid-term and long-term (time-wise) controls are recruited as well. Control problems that arise that are closely connected to the mechanisms of blood volume and pressure control include stabilization of blood pressure during orthostasis, hemodialysis, and after acute hemorrhage. This project will utilize a wide range of clinical data reflecting a number of conditions. With our National Partners (NP) we plan to carry out a set of experiments to validate the model for healthy individuals. We also will have access to a large data base of CVS measurements reflecting dysfunction in various aspects of short-term control. This data provided by our NP will allow for the study of various interactions or isolation of control mechanisms. Such data provides the necessary data base for model validation and the model developed should represent an important improvement over current models that do not adequately address the nature of the interaction of the various control loops. Clinical application of the model revolves around a cluster of problems the common feature of which is short-term low blood volume challenge to cardiovascular stability. These include Orthostatic Intolerance and Postural Tachycardia Syndrome. The model developed in this project will quantify short-term blood volume and pressure control, and provide the analytical basis for a sensitivity analysis to reveal key parameters which will aid in devising submodels which will have direct near term clinical applications.
- Krankenhaus der Barmherzigen Brüder - 3%
- Medizinische Universität Graz - 1%
- Universität Graz - 96%
- Helmut Hinghofer-Szalkay, Medizinische Universität Graz , associated research partner
- Falko Skrabal, associated research partner
- Johnny T. Ottesen, University Roskilde - Denmark
- Vera Novak, Beth Israel Medical Center - USA
- Hien Tran, North Carolina State University - USA
- Mette S. Olufsen, University of North Carolina - USA
Research Output
- 120 Citations
- 8 Publications
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2010
Title Modeling the Cardiovascular-Respiratory Control System: Data, Model Analysis, and Parameter Estimation DOI 10.1007/s10441-010-9110-0 Type Journal Article Author Batzel J Journal Acta Biotheoretica Pages 369-380 -
2011
Title Modeling Cardio-Respiratory System Response to Inhaled CO2 in Patients with Congestive Heart Failure DOI 10.1109/iembs.2011.6090673 Type Conference Proceeding Abstract Author Batzel J Pages 2418-2421 -
2012
Title Parameter Estimation of a Model for Baroreflex Control of Unstressed Volume DOI 10.1007/978-3-642-32882-4_11 Type Book Chapter Author Thomaseth K Publisher Springer Nature Pages 215-246 -
2009
Title Patterns of Cardiovascular Control During Repeated Tests of Orthostatic Loading DOI 10.1007/s10558-009-9086-z Type Journal Article Author Batzel J Journal Cardiovascular Engineering Pages 134 -
2012
Title Patient-specific modeling of cardiovascular and respiratory dynamics during hypercapnia DOI 10.1016/j.mbs.2012.09.003 Type Journal Article Author Ellwein L Journal Mathematical Biosciences Pages 56-74 Link Publication -
2009
Title Modelling and disentangling physiological mechanisms: linear and nonlinear identification techniques for analysis of cardiovascular regulation DOI 10.1098/rsta.2008.0266 Type Journal Article Author Batzel J Journal Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences Pages 1377-1391 Link Publication -
2007
Title Receding Horizon Controller for the Baroreceptor Loop in a Model for the Cardiovascular System DOI 10.1007/s10558-007-9043-7 Type Journal Article Author Mutsaers M Journal Cardiovascular Engineering Pages 14-22 -
2007
Title A Respiratory System Model: Parameter Estimation and Sensitivity Analysis DOI 10.1007/s10558-007-9051-7 Type Journal Article Author Fink M Journal Cardiovascular Engineering Pages 120-134