Why the study?
Does a fuzzy logic controller improve the quality of keeping mean arterial pressure constant compared to human controllers during anesthesia?
Does a fuzzy logic controller improve the quality of keeping mean arterial pressure constant compared to human controllers during anesthesia?
A fuzzy logic controller can effectively and autonomously maintain mean arterial pressure during anesthesia, performing superiorly to human controllers.
Hypothesis-generating for fuzzy MAP control in anesthesia; leaves open need for randomized validation before practice change.
A fuzzy logic controller that controls mean arterial pressure (MAP), which is taken as a parameter for depth of anesthesia during surgery, is described. The control rules make use of the error between the desired and the actual values of MAP as well as the integral of the error. The controller was tested in 11 different surgical operations, and the anesthetists supervising the controller never had to intervene or override it. Measures of the quality of keeping the MAP constant show the fuzzy controller to be superior to an ordinary human controller. Such a fuzzy logic controller has the potential for use during anesthesia with an agent like isoflurane.>
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Meier et al. (1992) studied this question.
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