Computers in ICU monitoring: An intelligent semantic-based method

Vincente Moret-Bonillo, Amparo Alonso-Betanzos, Edward J. Truemper, John R. Searle

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

The intensive care unit (ICU) and the operating room are two of the clinical environments in which the use of computer systems is becoming a necessity. The authors discuss some of the particular aspects of: classical monitoring systems and ICU expert systems. A semantic-based method is proposed for the management and interpretation of clinical measurements in the ICU. This approach allows the user to define the major characteristics of the clinical use under consideration. These characteristics are used to elaborate specific ranges that take into account the differential characteristics of the clinical case under consideration. Those patient-adapted ranges will serve to perform the symbolic processing of the numerical data. The resulting literals will be used by the inferential engine to obtain conclusions and define therapeutic guidelines. Since the inferential process is based on the meaning of the numerical information the knowledge engineering task is considerably simplified.

Original languageEnglish (US)
Title of host publicationProceedings of the Annual Conference on Engineering in Medicine and Biology
PublisherPubl by IEEE
Pages1637-1638
Number of pages2
Editionpt 4
ISBN (Print)0780302168
StatePublished - 1991
Externally publishedYes
EventProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society - Orlando, FL, USA
Duration: Oct 31 1991Nov 3 1991

Publication series

NameProceedings of the Annual Conference on Engineering in Medicine and Biology
Numberpt 4
Volume13
ISSN (Print)0589-1019

Other

OtherProceedings of the 13th Annual International Conference of the IEEE Engineering in Medicine and Biology Society
CityOrlando, FL, USA
Period10/31/9111/3/91

ASJC Scopus subject areas

  • Signal Processing
  • Biomedical Engineering
  • Computer Vision and Pattern Recognition
  • Health Informatics

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