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Data Management and Real Time Respiratory Signals Processing in Anesthesia

  • Ph. Grevisse
  • P. Picart
  • A. Swietochowski
  • A. Deby
  • Y. Delcambre
  • A. Weerens
  • M. Demeester
  • M. Rucquoi
  • F. Camu
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 24)

Abstract

We describe a computer system, the Chronicler; it takes over all data processing tasks in anesthesia, from the arrival of the patient in the hospital, until his discharge. The functions of the basic system are automatic physiological data collection, automatic acquisition of short periods of raw signals values (for morphology analysis), automatic real time calibration of the measuring devices, automatic acquisition of data from laboratory analyzers, storage of manual data (drug delivery, infusion, events, diagnoses, laboratory data, …). The system also helps the anesthesiologist control his patient, adjust drug delivery, validate special measurements, enter manual data. It displays the stored data in a variety of alphanumerical and graphical manners, prints a comprehensive anesthesia report and helps the anesthesiologist prepare the summary of the patient’s record. The system stores that summary together with detailed data.

This system can be expanded in order to take over several operating rooms at the same time, to support specific research projects or to become a powerfull research system. An example of expansion of the system in the research area is given: a special multiprocessor system (PAMS) is added; it analyzes in real time respiratory signals (gas flow, airway pressure and up to 6 gas composition signals (from a mass spectrometer)) and generates breath per breath about 50 values.

The Chronicler is modular and can easily be adapted to the changing needs of the anesthesiologist.

Keywords

Airway Pressure Trend Curve Specific Research Project Automatic Acquisition Control Processor 
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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References

  1. (1).
    M. Demeester, E. Musoglu, P. Mundeleer, A. Doom, J. P. Barroy, Continuous monitoring by microprocessor from the operating room to the intensive care unit. Acta Anaesth. Belg., 1983, 34, 137–148.PubMedGoogle Scholar
  2. (2).
    M. Demeester, Monitoring des patients en unites de soins intensifs et en salles d’opération. Impact des microprocesseurs et microordinateurs sur l’efficience du monitoring informatisé et la généralisation de son emploi. Rapport scientifique, Contrat SPPS I 26 /54, 1982, p. 44.Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1984

Authors and Affiliations

  • Ph. Grevisse
    • 1
  • P. Picart
    • 1
  • A. Swietochowski
    • 1
  • A. Deby
    • 1
  • Y. Delcambre
    • 1
  • A. Weerens
    • 1
  • M. Demeester
    • 1
  • M. Rucquoi
    • 2
  • F. Camu
    • 2
  1. 1.C.D.G.I.M. et STAFFBruxellesBelgium
  2. 2.Dienst AnesthesiologieAkademisch Ziekenhuis Vrije Universiteit BrusselBelgium

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