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Computer-Assisted Psychophysiological Regulation Diagnostics — New Possibilities for Preventive Health Care

  • J. Michel
  • H. Cammann
  • B. Koch
  • B. Fleischer
  • V. Orlov
  • M. Schneider
  • G. Uhlmann
  • A. Michel
  • G. S. Vasadze
  • J. N. Cegurov
Conference paper
Part of the Lecture Notes in Medical Informatics book series (LNMED, volume 40)

Abstract

The use of modern computer technologies has led to substantive progress In analysis of biological structures and functions. The latest achievements in function analysis by computer-assisted methods were representatively described only recently ([1]). However, so far they have primarily improved the capabilities of curative medical care, since even modern computer-assisted diagnostics still is predominantly oriented to organ pathology. Methods that enable diagnostic and prognostic assessment of regulatory behaviour of the human organism under defined close-to-life psychic load are urgently required for preventive health care. The general importance of such methods and their underlying scientific principles were described elsewhere ([2]-[6]). Against this background, a procedure of psychophysiological system analysis (PSA) had been developed. Its use has provided new deep insights into psychophysiological regulatory behaviour. The results also have supported the assumption that regulatory disorders as precursors or premorbid stages of regulatory diseases can be detected by means of this method. Its translation into medical practice proved to be difficult, especially because of the abstract nature of the statistical model (SM), so far being the result of such an investigation. To facilitate and accelerate this process, the latter is being completed by an expert system. Described in this paper is the present position in development, characterising transition of PSA from the level of a new method in medical research to the level of routine regulation diagnostics. It will be shown that due to necessary integrative use of various information technologies the development of such methods for functions analysis is a domain of medical informatics.

Keywords

Regulatory Disease Human Organism Medical Informatics Preventive Health Care Dynamic Investigation 
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 1990

Authors and Affiliations

  • J. Michel
    • 1
  • H. Cammann
    • 1
  • B. Koch
    • 1
  • B. Fleischer
    • 1
  • V. Orlov
    • 1
  • M. Schneider
    • 1
  • G. Uhlmann
    • 1
  • A. Michel
    • 1
  • G. S. Vasadze
    • 2
  • J. N. Cegurov
    • 2
  1. 1.School of Medicine (Charite), Institute of Medical Informatics and BiomathematicsHumboldt-Universitaet zu BerlinBerlin 1040GDR
  2. 2.Ministry of Health of the GSSRInstitute of Informatics and Complex Automation in HealthTbilissiUSSR

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