Adaptive fuzzy predictive controller for anesthesia delivery

The problem of automating the infusion of anesthesia using fuzzy predictive control techniques is afforded. The control objective is to keep the hypnosis level of the patient in a proper and safe value. To provide accurate predictions, an adaptive model based on fuzzy logic and genetic algorithms is...

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Bibliographic Details
Published in:Control engineering practice 2016-01, Vol.46, p.1-9
Main Authors: Méndez, Juan A., Marrero, Ayoze, Reboso, Jose A., León, Ana
Format: Article
Language:English
Subjects:
Anesthesiology
Bispectral index
Fuzzy modelling
Genetic algorithms
Predictive control
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Summary:The problem of automating the infusion of anesthesia using fuzzy predictive control techniques is afforded. The control objective is to keep the hypnosis level of the patient in a proper and safe value. To provide accurate predictions, an adaptive model based on fuzzy logic and genetic algorithms is included. Thus, the drug infusion is adapted to the real needs of the patient and, consequently, the performance compared to other approaches is improved. The controller was evaluated both in simulation and in the operating room with patients undergoing surgery. Results obtained attest for the efficiency of the proposed method.
ISSN:0967-0661
1873-6939
DOI:10.1016/j.conengprac.2015.09.009