Multi-Formalism Modelling and Simulation: Application to Cardiac Modelling

Multi-formalism modelling and simulation: application to cardiac modelling.

Cardiovascular modelling has been a major research subject for the last decade. Different cardiac models have been developed at a cellular level as well as at the whole organ level. Most of these models are defined by a comprehensive cellular modelling using continuous formalisms or by a tissue-level modelling often based on discrete formalisms. Nevertheless, both views still suffer from diffic...

Multi-Formalism Modelling and Simulation

ion Figure 1.3: Modelling – Simulation Morphism (Lumped) Model gives an accurate description of a system within the context of a given Experimental Frame. The term “accurate description” needs to be defined precisely. Usually, certain properties of the system’s structure and/or behaviour must be reflected by the model within a certain range of accuracy. Note: a lumped model is not necessarily a...

Multi-formalism Modelling of Cardiac Tissue

Many models of the cardiovascular system (e.g. cardiac electrical activity, autonomous nervous system, . . . ) have been proposed for the last decades. Research is now focusing on the integration of these different models, in order to study more complicated physiopathological states in clinical applications context. To get round the practical limitations of existing models, multi-formalism mode...

ATOM³: A Tool for Multi-formalism Modelling and Meta-modelling

Multi-formalism Modelling and Model Execution

Modelling complex software systems requires multiple modelling formalisms adapted to the nature of each part of the system (control, signal processing, etc.), to the aspect on which the model focuses (functionality, time, fault tolerance, etc.) and to the level of abstraction at which the system, or one of its parts, is studied. The use of different modelling formalisms during the development c...