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Simulation environment and graphical visualization environment: a COPD use-case.

Huertas-Migueláñez M, Mora D, Cano I, Maier D, Gomez-Cabrero D, Lluch-Ariet M, Miralles F - J Transl Med (2014)

Bottom Line: The data warehouse manager is responsible for managing the stored information and supporting its flow among the different modules.It has been proved that the simulation environment presented here allows the user to research and study the internal mechanisms of the human physiology by the use of models via a graphical visualization environment.A new tool for bio-researchers is ready for deployment in various use cases scenarios.

View Article: PubMed Central - HTML - PubMed

ABSTRACT

Background: Today, many different tools are developed to execute and visualize physiological models that represent the human physiology. Most of these tools run models written in very specific programming languages which in turn simplify the communication among models. Nevertheless, not all of these tools are able to run models written in different programming languages. In addition, interoperability between such models remains an unresolved issue.

Results: In this paper we present a simulation environment that allows, first, the execution of models developed in different programming languages and second the communication of parameters to interconnect these models. This simulation environment, developed within the Synergy-COPD project, aims at helping and supporting bio-researchers and medical students understand the internal mechanisms of the human body through the use of physiological models. This tool is composed of a graphical visualization environment, which is a web interface through which the user can interact with the models, and a simulation workflow management system composed of a control module and a data warehouse manager. The control module monitors the correct functioning of the whole system. The data warehouse manager is responsible for managing the stored information and supporting its flow among the different modules.

Conclusion: It has been proved that the simulation environment presented here allows the user to research and study the internal mechanisms of the human physiology by the use of models via a graphical visualization environment. A new tool for bio-researchers is ready for deployment in various use cases scenarios.

Show MeSH
Sequence followed by the list of cases and models to start a simulaiton from the web-socket controller to the batch processor.
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Figure 3: Sequence followed by the list of cases and models to start a simulaiton from the web-socket controller to the batch processor.

Mentions: Among the information sent to the web-socket controller to start a simulation, we have one or more models to execute and one or more cases, both selected by the user. With the information received, the execution component creates a simulation object. The simulation object contains the logics to allocate the cases with the models to create a case simulation. A case simulation represents the minimum execution unit composed of a reference to the model to execute and the case, which contains the input parameters for the model. For example, in Figure 3 the user has selected a model called M6 Oxygen Transport and a list of cases which includes Sea Level 1, Sea Level 2 and Sea Level 3. These are sent to the batch processor which will forward them to the execution component. The execution component will create the simulation object with that model and that list of cases. The result of the execution of the M6 Oxygen Transport model with every case in the list of cases is displayed in the GVE.


Simulation environment and graphical visualization environment: a COPD use-case.

Huertas-Migueláñez M, Mora D, Cano I, Maier D, Gomez-Cabrero D, Lluch-Ariet M, Miralles F - J Transl Med (2014)

Sequence followed by the list of cases and models to start a simulaiton from the web-socket controller to the batch processor.
© Copyright Policy - open-access
Related In: Results  -  Collection

License 1 - License 2
Show All Figures
getmorefigures.php?uid=PMC4255913&req=5

Figure 3: Sequence followed by the list of cases and models to start a simulaiton from the web-socket controller to the batch processor.
Mentions: Among the information sent to the web-socket controller to start a simulation, we have one or more models to execute and one or more cases, both selected by the user. With the information received, the execution component creates a simulation object. The simulation object contains the logics to allocate the cases with the models to create a case simulation. A case simulation represents the minimum execution unit composed of a reference to the model to execute and the case, which contains the input parameters for the model. For example, in Figure 3 the user has selected a model called M6 Oxygen Transport and a list of cases which includes Sea Level 1, Sea Level 2 and Sea Level 3. These are sent to the batch processor which will forward them to the execution component. The execution component will create the simulation object with that model and that list of cases. The result of the execution of the M6 Oxygen Transport model with every case in the list of cases is displayed in the GVE.

Bottom Line: The data warehouse manager is responsible for managing the stored information and supporting its flow among the different modules.It has been proved that the simulation environment presented here allows the user to research and study the internal mechanisms of the human physiology by the use of models via a graphical visualization environment.A new tool for bio-researchers is ready for deployment in various use cases scenarios.

View Article: PubMed Central - HTML - PubMed

ABSTRACT

Background: Today, many different tools are developed to execute and visualize physiological models that represent the human physiology. Most of these tools run models written in very specific programming languages which in turn simplify the communication among models. Nevertheless, not all of these tools are able to run models written in different programming languages. In addition, interoperability between such models remains an unresolved issue.

Results: In this paper we present a simulation environment that allows, first, the execution of models developed in different programming languages and second the communication of parameters to interconnect these models. This simulation environment, developed within the Synergy-COPD project, aims at helping and supporting bio-researchers and medical students understand the internal mechanisms of the human body through the use of physiological models. This tool is composed of a graphical visualization environment, which is a web interface through which the user can interact with the models, and a simulation workflow management system composed of a control module and a data warehouse manager. The control module monitors the correct functioning of the whole system. The data warehouse manager is responsible for managing the stored information and supporting its flow among the different modules.

Conclusion: It has been proved that the simulation environment presented here allows the user to research and study the internal mechanisms of the human physiology by the use of models via a graphical visualization environment. A new tool for bio-researchers is ready for deployment in various use cases scenarios.

Show MeSH