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On Knowledge Based Systems in CCU’s: Monitoring and Patients Follow-up

  • J. Mira
  • R. P. Otero
  • S. Barro
  • A. Barreiro
  • R. Ruiz
  • R. Marín
  • A. E. Delgado
  • A. Amaro
  • M. Jacket
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 47)

Abstract

This paper sketches the design methodology, knowledge representation and inferencing techniques and development tools used in our group by the abridged description of two systems, SUTII, and AMIS, and a tool, MEDTOOL. SUTIL is a monitoring system for the main biosignals of interest in the CCU context, which are the electrocardiogram (ECG) and the cardiovascular pressures. AMIS is a therapy adviser for patients follow-up oriented towards Acute Myocardial Infarction. AMIS and MEDTOOL can run on any PC-AT compatible under MS-DOS and SUN Workstation under UNIX. The hardware architecture of SUTIL consists of two main blocks: an IBM PC compatible computer and a real time parallel processor based the VME bus and the MC 68000 microprocessor. We are currently evaluating AMIS and SUTIL at the Hospital General de Galicia (CCU), Santiago (Spain).

Keywords

Acute Myocardial Infarction Expert System Coronary Care Unit Fuzzy Classification Situational Calculus 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Springer-Verlag Berlin Heidelberg 1991

Authors and Affiliations

  • J. Mira
    • 1
  • R. P. Otero
    • 2
  • S. Barro
    • 2
  • A. Barreiro
    • 2
  • R. Ruiz
    • 2
  • R. Marín
    • 2
  • A. E. Delgado
    • 2
  • A. Amaro
    • 3
  • M. Jacket
    • 3
  1. 1.Departamento de Informática y AutomáticaFacultad de Ciencias de la UNEDMadridSpain
  2. 2.Departamento de Electrónica, Facultad de FísicaUniversidad de Santiago de CompostelaSpain
  3. 3.Unidad de Cuidados Coronarios, Facultad de MedicinaHospital General de GaliciaSantiago de CompostelaSpain

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