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Related Experiment Videos

Object-oriented biomedical system modelling--the language.

M Hakman1, T Groth

  • 1Department of Medical Sciences, Uppsala University, Sweden. mikael.hakman@ibm.net

Computer Methods and Programs in Biomedicine
|December 1, 1999
PubMed
Summary
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A new object-oriented biomedical continuous system modelling language (OOBSML) was developed. This system supports complex model hierarchies and reusable components for advanced biomedical simulations.

Area of Science:

  • Biomedical Engineering
  • Computational Biology
  • Software Engineering

Background:

  • Developing sophisticated computational models is crucial for advancing biomedical research and understanding complex biological systems.
  • Existing modeling languages often lack the flexibility and reusability required for intricate, multi-component biomedical systems.

Purpose of the Study:

  • Introduce a novel object-oriented modeling language, OOBSML, specifically designed for continuous biomedical systems.
  • To provide a robust framework for creating, documenting, and executing complex, hierarchical biomedical models.

Main Methods:

  • Developed OOBSML with full object-oriented features: inheritance, encapsulation, instantiation, and polymorphism.
  • Integrated formal expressions for model documentation, quantity types, and units alongside differential and algebraic equations.

Related Experiment Videos

  • The OOBSML compiler generates executable, self-contained model components using distributed object technology.

    • Main Results:

    • OOBSML enables the creation of structured, multilevel model hierarchies through reusable components.
    • The language supports explicit definition of model inputs, outputs, states, components, and connections.
    • Generated model components are executable code objects, facilitating integration and library storage.

    Conclusions:

    • OOBSML offers a powerful and flexible solution for modeling complex continuous biomedical systems.
    • The object-oriented approach and component-based architecture enhance model reusability and manageability.
    • This language facilitates the development of sophisticated, hierarchical simulations in biomedical research.