DocumentCode :
3011716
Title :
A simulation and integration environment for heterogeneous physiology-models
Author :
De Las Mercedes Huertas Miguelanez, Ma ; Ceccaroni, Luigi
Author_Institution :
Barcelona Digital Technol. Centre, Barcelona, Spain
fYear :
2013
fDate :
9-12 Oct. 2013
Firstpage :
228
Lastpage :
232
Abstract :
Currently, many different tools exist aimed at the simulation of models that represent the human physiology. These models and simulation tools are developed in specific languages, and models are interoperable with other models represented in the same or similar languages. In this paper, we present a new tool, which is developed to offer a common frame of simulation for models developed in different programming languages. This simulation environment is targeted at bio-researchers and medical students, and constitutes a framework to support the observation and analysis of physiological mechanisms. The tool has been evaluated using models of the physiology of a chronic disease, namely the chronic obstructive pulmonary disease. Eight deterministic models and one probabilistic model have been considered, which are related to the respiratory chain and are represented in different languages.
Keywords :
diseases; medical computing; open systems; physiology; probability; programming languages; simulation languages; bio-researchers; chronic obstructive pulmonary disease; deterministic models; heterogeneous physiology-models; human physiology; integration environment; medical students; model interoperability; model simulation; physiological mechanisms; probabilistic model; programming languages; simulation environment; simulation tools; Biological system modeling; Computational modeling; Input variables; Java; Mathematical model; Physiology; Solid modeling; COPD; knowledge base; models; simulation environment; workflow;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
e-Health Networking, Applications & Services (Healthcom), 2013 IEEE 15th International Conference on
Conference_Location :
Lisbon
Print_ISBN :
978-1-4673-5800-2
Type :
conf
DOI :
10.1109/HealthCom.2013.6720672
Filename :
6720672
Link To Document :
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