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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
On the left hand side of the image we can see the list of default cases associated to this model. In the center there is a table with the list of variables included in the model and, on the right hand side, we can see the list of models that would be executed with the model.
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Figure 6: On the left hand side of the image we can see the list of default cases associated to this model. In the center there is a table with the list of variables included in the model and, on the right hand side, we can see the list of models that would be executed with the model.

Mentions: The next step is to select one or more cases to be executed with that model or create a new one. If a case is edited, the values assigned to the variables of that case are shown. The user can: (1) change variables value or (2) introduce a range of values, within the permitted range of values (PRV) or (3) add the case into the queue of cases to be executed. Figure 6 shows that the user has selected M6 Oxygen Transport model and the cases labeled Sea Level 1, Sea Level 2 and Sea Level 3. Once the user has finished selecting cases to run, the launch button is used to send the information to the correspondent module as presented in Figure 3 and trigger the execution of the model.


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)

On the left hand side of the image we can see the list of default cases associated to this model. In the center there is a table with the list of variables included in the model and, on the right hand side, we can see the list of models that would be executed with the model.
© Copyright Policy - open-access
Related In: Results  -  Collection

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

Figure 6: On the left hand side of the image we can see the list of default cases associated to this model. In the center there is a table with the list of variables included in the model and, on the right hand side, we can see the list of models that would be executed with the model.
Mentions: The next step is to select one or more cases to be executed with that model or create a new one. If a case is edited, the values assigned to the variables of that case are shown. The user can: (1) change variables value or (2) introduce a range of values, within the permitted range of values (PRV) or (3) add the case into the queue of cases to be executed. Figure 6 shows that the user has selected M6 Oxygen Transport model and the cases labeled Sea Level 1, Sea Level 2 and Sea Level 3. Once the user has finished selecting cases to run, the launch button is used to send the information to the correspondent module as presented in Figure 3 and trigger the execution of the model.

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