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Practical Applications of Fuzzy Technologies pp 321–335Cite as

Fuzzy Logic and Possibility Theory in Biomedical Engineering

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Part of the book series: The Handbooks of Fuzzy Sets Series ((FSHS,volume 6))

Abstract

Living biological systems are consisting of countless self organised structures and the underlying characteristics of their interaction is often not completely understood. Biomedical engineering can employ different modelling techniques to describe these complex systems in a generalised way. Most of the physiologic models today are defined quantitatively with techniques which were developed for linear systems and control theory.

Because of the complexity in biological systems, accurate mathematical models fail and the fuzzy approach offers a fully deterministic solution on a higher level of abstraction. The expert’s knowledge of both the experienced physicians and the biomedical engineers is an important source of information for the design of intelligent machines.

Two applications where fuzzy sets are employed successfully are described. The first example comes from the field of intelligent real time monitoring in anaesthesia and supports the anaesthesiologist in his decision making process on the patient’s haemodynamic state. The second example describes the implementation of a fuzzy controller for a total artificial heart (TAH). After these introductory examples some other applications from different medical fields which employ the fuzzy set theory are briefly discussed.

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Authors
  1. Kurt Becker
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Editors and Affiliations

  1. Dept. of Operations Research, Aachen Institute of Technology, Templergraben 64, 52062, Aachen, Germany

    Hans-Jürgen Zimmermann

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© 1999 Springer Science+Business Media New York

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Becker, K. (1999). Fuzzy Logic and Possibility Theory in Biomedical Engineering. In: Zimmermann, HJ. (eds) Practical Applications of Fuzzy Technologies. The Handbooks of Fuzzy Sets Series, vol 6. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-4601-6_10

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  • DOI: https://doi.org/10.1007/978-1-4615-4601-6_10

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4613-7079-6

  • Online ISBN: 978-1-4615-4601-6

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