Paper Info
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 sedition 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.
Year
DOI
Venue
2006
10.1109/TBME.2006.873757
IEEE Trans. Biomed. Engineering
Keywords
Field
DocType
surgery,unsupervised learning,control group,fuzzy control,self organization,neurophysiology,rule based
Intensive care unit,Propofol,Control theory,Computer science,Fuzzy logic,Anesthesia,Intracranial pressure,Fuzzy control system,Intensive care,Sedation
Journal
Volume
Issue
ISSN
53
8
0018-9294
Citations 
PageRank 
References 
5
0.48
5
Authors
4
Name
Order
Citations
PageRank
Jiann Shing Shieh122428.44
Mu Fu250.48
Sheng-Jean Huang3232.35
Ming-Chien Kao450.48