An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS

During general anesthesia, anesthesiologists who provide anesthetic dosage traditionally play a fundamental role to regulate bispectral index (BIS). However, in this article, an optimized type-2 self-organizing fuzzy logic controller (SOFLC) is designed for a target controlled infusion pump related...

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Veröffentlicht in:	IEEE transactions on fuzzy systems Jg. 28; H. 6; S. 1062 - 1072
Hauptverfasser:	Wei, Zi-Xiao, Doctor, Faiyaz, Liu, Yan-Xin, Fan, Shou-Zen, Shieh, Jiann-Shing
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.06.2020 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Anesthesia Automatic control Brain modeling Computational modeling Computer simulation Control systems design Controllers Dosage Fuzzy control Fuzzy logic Fuzzy sets General anesthesia Genetic algorithms genetic programming (GP) Optimization Surgery surrogate model (SM) type-2 fuzzy controller
ISSN:	1063-6706, 1941-0034
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Abstract	During general anesthesia, anesthesiologists who provide anesthetic dosage traditionally play a fundamental role to regulate bispectral index (BIS). However, in this article, an optimized type-2 self-organizing fuzzy logic controller (SOFLC) is designed for a target controlled infusion pump related to propofol dosing guided by BIS, to realize automatic control of general anesthesia. The type-2 SOFLC combines a type-2 fuzzy logic controller with a self-organizing mechanism to facilitate online training while able to contend with operational uncertainties. A novel data-driven surrogate model and genetic programming-based strategy is introduced for optimizing the type-2 SOFLC parameters offline to handle interpatient variability. A pharmacological model is built for simulation in which different optimization strategies are tested and compared. Simulation results are presented to demonstrate the applicability of our approach and show that the proposed optimization strategy can achieve better control performance in terms of steady-state error and robustness.
AbstractList	During general anesthesia, anesthesiologists who provide anesthetic dosage traditionally play a fundamental role to regulate bispectral index (BIS). However, in this article, an optimized type-2 self-organizing fuzzy logic controller (SOFLC) is designed for a target controlled infusion pump related to propofol dosing guided by BIS, to realize automatic control of general anesthesia. The type-2 SOFLC combines a type-2 fuzzy logic controller with a self-organizing mechanism to facilitate online training while able to contend with operational uncertainties. A novel data-driven surrogate model and genetic programming-based strategy is introduced for optimizing the type-2 SOFLC parameters offline to handle interpatient variability. A pharmacological model is built for simulation in which different optimization strategies are tested and compared. Simulation results are presented to demonstrate the applicability of our approach and show that the proposed optimization strategy can achieve better control performance in terms of steady-state error and robustness.
Author	Doctor, Faiyaz Liu, Yan-Xin Shieh, Jiann-Shing Wei, Zi-Xiao Fan, Shou-Zen
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SubjectTerms	Anesthesia Automatic control Brain modeling Computational modeling Computer simulation Control systems design Controllers Dosage Fuzzy control Fuzzy logic Fuzzy sets General anesthesia Genetic algorithms genetic programming (GP) Optimization Surgery surrogate model (SM) type-2 fuzzy controller
Title	An Optimized Type-2 Self-Organizing Fuzzy Logic Controller Applied in Anesthesia for Propofol Dosing to Regulate BIS
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