Depth of Anesthesia Control with Fuzzy Logic

  • Xu-Sheng Zhang
  • Johnnie W. Huang
  • Rob J. Roy
Part of the Studies in Fuzziness and Soft Computing book series (STUDFUZZ, volume 83)


The anesthetic management of a surgical patient is a process that relies on the experience of an anesthesiologist, since currently there is no direct means of assessing a patient’s level of consciousness during surgery. The decision for the initial anesthetic level is generally made by using the recommended drug dosages based on various patient characteristics, such as age and weight. The anesthesiologist determines any subsequent alteration in the anesthetic level by observing signs from the patient. These signs, the indirect indicators of the depth of anesthesia (DOA), may include changes in blood pressures or heart rate, lacrimation, facial grimacing, muscular movement, spontaneous breathing, diaphoresis, and other signs that may predicate awareness. However, they are not reliable indicators of changes in a patient’s level of consciousness. Although an anesthesiologist can adjust recommended anesthetic dosages based on individual patient characteristics, these adjustments cannot always account for variability in patient responses to anesthesia or changes in anesthetic requirements during the course of surgery.


Fuzzy Logic Mean Arterial Pressure Fuzzy Controller Adaptive Network Base Fuzzy Inference System Consequent Parameter 
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 2002

Authors and Affiliations

  • Xu-Sheng Zhang
    • 1
  • Johnnie W. Huang
    • 1
  • Rob J. Roy
  1. 1.Department of Biomedical EngineeringRensselaer Polytechnic InstituteTroyUSA

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