Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Solving ordinary differential equations I (2nd revised. ed.): nonstiff problems
Modeling of dynamic systems
Mathematical physiology
System identification (2nd ed.): theory for the user
System identification (2nd ed.): theory for the user
IEEE Spectrum
Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
Computer Methods for Ordinary Differential Equations and Differential-Algebraic Equations
SysML and UML 2 support for activity modeling
Systems Engineering
Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4
Modeling and Simulation in Scilab/Scicos with ScicosLab 4.4
Integrative computational frameworks for multiscale digital human modeling and simulation
ICCS'06 Proceedings of the 6th international conference on Computational Science - Volume Part IV
The Atlas of Physiology and Pathophysiology: Web-based multimedia enabled interactive simulations
Computer Methods and Programs in Biomedicine
Object-oriented modeling and simulation of the closed loop cardiovascular system by using SIMSCAPE
Computers in Biology and Medicine
Computers in Biology and Medicine
Hi-index | 0.00 |
Guyton's original integrative physiology model was a milestone in integrative physiology, combining significant physiological knowledge with an engineering perspective to develop a computational diagrammatic model. It is still used in research and teaching, with a small number of variants on the model also in circulation. However, though new research has added significantly to the knowledge represented by Guyton's model, and significant advances have been made in computing and simulation software, an accepted common platform to integrate this new knowledge has not emerged. This paper discusses the issues in the selection of a suitable platform, together with a number of current possibilities, and suggests a graphical computing environment for modelling and simulation. By way of example, a validated version of Guyton's 1992 model, implemented in the ubiquitous Simulink environment, is presented which provides a hierarchical representation amenable to extension and suitable for teaching and research uses. It is designed to appeal to the biomedical engineer and physiologist alike.