title: Comparison of the applicability of rule-based and self-organizing fuzzy logic controllers for sedation control of intracranial pressure pattern in a neurosurgical intensive care unit.
abstract: This paper assesses the controller performance of a self-organizing fuzzy logic controller (SOFLC) in comparison with a routine clinical rule-base controller (RBC) for sedation control of intracranial pressure (ICP) pattern. Eleven patients with severe head injury undergoing different neurosurgeries in a neurosurgical intensive care unit (NICU) were divided into two groups. In all cases the sedation control periods lasted 1 h and assessments of propofol infusion rates were made at a frequency of once per 30 s. In the control group of 10 cases selected from 5 patients, a RBC was used, and in the experimental group of 10 cases selected from 6 patients, a self-organizing fuzzy logic controller was used. A SOFLC was derived from a fuzzy logic controller and allowed to generate new rules via self-learning beyond the initial fuzzy rule-base obtained from experts (i.e., neurosurgeons). The performance of the controllers was analyzed using the ICP pattern of sedation for 1 h of control. The results show that a SOFLC can provide a more stable ICP pattern by administering more propofol and changing the rate of delivery more often when rule-base modifications have been considered.
authors.affiliation: Department of Mechanical Engineering, Yuan Ze University, Chung-Li, Taoyuan, Taiwan. jsshieh@saturn.yzu.edu.tw
authors.forename: Jiann-Shing
authors.initials: JS
authors.lastname: Shieh
authors.forename: Mu
authors.initials: M
authors.lastname: Fu
authors.forename: Sheng-Jean
authors.initials: SJ
authors.lastname: Huang
authors.forename: Ming-Chien
authors.initials: MC
authors.lastname: Kao
mesh_terms: D000465:Algorithms; D003198:Computer Simulation; D016292:Procedural Sedation / Q000379:methods*; D003422:Critical Care / Q000379:methods*; D020000:Decision Support Systems, Clinical; D004360:Drug Therapy, Computer-Assisted / Q000379:methods*; D005103:Expert Systems; D005246:Feedback; D017143:Fuzzy Logic; D006801:Humans; D006993:Hypnotics and Sedatives / Q000008:administration & dosage*; D007427:Intracranial Pressure / Q000187:drug effects*; D016015:Logistic Models; D008954:Models, Biological; D019635:Neurosurgical Procedures / Q000379:methods*; D010363:Pattern Recognition, Automated / Q000379:methods
chemical_list: D006993:Hypnotics and Sedatives