An Approach to Efficient On-line Mass Storage of Physiological Parameters in an Intensive Care Environment

  • H. Schillings
  • B. Scharnberg
  • R. M. Sabean
  • C. Th. Ehlers
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 1)

Abstract

From the data processing point of view, monitoring critically ill patients by computer is primarily a problem of reduction of mass data.

This paper describes a way of reducing data for storage purposes which results in a minimum loss of accuracy. The reduction factor is 1:5 on an average for fast varying parameters and up to 1:100 for slowly varying parameters.

Our approach is to store trend information rather than averaged data. The algorithm transforms a continuous input of data in equidistant time intervals to an output in trend format. High compression on quasi-static data input and a fast reaction in case of relevant changes are the main characteristics.

This algorithm is part of a data path in a decentralized minicomputer system for intensive care, the Göttingen Information System for Intensive Care “GISI”.

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References

  1. (1).
    Drazen, E., Wechsler, A., Wiig, K.: Requirements for computerized patient monitoring systems Computer 1 (1975) 22–26Google Scholar
  2. (2).
    Sabean, R.M., Scharnberg, B., Schillings, H. Göttingen information system for intensive care “GISI”. To appear in: Proc. Cönf. Computers in Cardiology Rotterdam 1977. New York: IEEE Computer Society.Google Scholar
  3. (3).
    Scharnberg, B., Sabean, R.M., Schillings, H. A data base for intensive care units. In.: Shires, D.B., Wolf, H. (Eds): MEDINFO 77, Vol. 2 p. 1063 Amsterdam: North Holland Publ. Co., 1977Google Scholar

Copyright information

© Springer-Verlag Berlin Heidelberg 1978

Authors and Affiliations

  • H. Schillings
    • 1
  • B. Scharnberg
    • 1
  • R. M. Sabean
    • 1
  • C. Th. Ehlers
    • 1
  1. 1.Lehrstuhl für Medizinische Dokumentation und DatenverarbeitungUniversität GöttingenGöttingenDeutschland

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