An Information Architecture for Physiological Models, Clients and Databases

Abstract

The comprehensiveness and complexity of physiological models will increase dramatically during the next decade. Advances in computer power, biological pathway information, information on molecular mechanisms, and new genetic data are all driving factors for these changes. This paper proposes an information system to support complex physiological information models. The system architecture requires three essential parts: a networked Client that generates a request for information; a Computation Server that performs the calculation; and a Model Database that provides detailed parameters to the Computation Server to facilitate solution. The Model Database is organized as an object-oriented hierarchy following the design used to store medical images and their metadata in accordance with the international DICOM standard for medical images. A fourth critical component is also defined: a Case Database that archives the input data that has been used by the Client to define the case to be computed, and archives the output from the solution. This system is applied to a complex contemporary model of the electrophysiology of cardiac myocyte cells, the WIJ model.

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Document Details

Document Type
Technical Report
Publication Date
Oct 25, 2001
Accession Number
ADA410358

Entities

People

  • Bo Fu
  • C. F. Dewey Jr.
  • N. Dao
  • Simin Zhang
  • W. Chuang

Organizations

  • Massachusetts Institute of Technology

Tags

Communities of Interest

  • Biomedical

DTIC Thesaurus Topics

  • Biological Sciences
  • Computer Architecture
  • Computer Programming
  • Computer Science
  • Computers
  • Computing System Architectures
  • Equations
  • Human Systems Integration
  • Internet
  • Muscle Cells
  • Network Architecture
  • Network Protocols
  • Operating Systems
  • Standards
  • User Interface
  • Web Browsers
  • Xml

Fields of Study

  • Computer science

Readers

  • Computational Modeling and Simulation
  • Database Systems and Applications
  • Systems Analysis and Design

Technology Areas

  • Biotechnology