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
Resource
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING v.53 n.8 pp.1700-1705
Journal
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
Journal Volume
v.53
Journal Issue
n.8
Pages
1700-1705
Date Issued
2006
Date
2006
Author(s)
SHIEN, JIANN-SHING
FU, MU
HUANG, SHENG- JEAN
KAO, MING-CHIEN
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.
Subjects
intracranial pressure
neurosurgical intensive care unit
rule -base controller
self-organizing fuzzy logic controller
Type
journal article