Abstract
Models generated using standard Simulink networks clearly graphically express various mathematical relationships. The connections between individual blocks flow signals which transmit the values of individual variables from the output of one block to inputs of other blocks.
In the blocks for processing the input to output information. Linking blocks in Simulink then reflects the calculation procedure rather than the actual structure of the modeled reality.
The so called causal modeling. When creating and especially presenting a description of the model, but it is important that the structure of the model , rather than their own algorithm simulation calculation, captures the essence of mainly physical modeled reality.
Therefore, in modern simulation environments starts increasingly apply declarative ( acausal ) registration model where individual component model describes the equations directly rather than their algorithm solution. By linking individual components, the interconnection equations between them.
Interconnection of the components not the calculation procedure but the modeled reality. The method of solving the equations then " let the machines".
Modern simulation language that is built directly on acausal notation of models. Language recently very used in industrial applications in biomedical applications, however, not enough.
Experience shows, however, the Modelica for modeling biomedical systems very suitable tool , especially for modeling large and complex systems medical teaching simulators. In this review article suggests a practical Examples of modeling the hemodynamics of the circulatory system.