Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/97929
Title: A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
Authors: Ng, G. S.
Liu, F.
Loh, T. F.
Quek, Chai
Keywords: DRNTU::Engineering::Computer science and engineering
Issue Date: 2012
Series/Report no.: Expert systems with applications
Abstract: Artificial ventilation is a crucial supporting treatment for Intensive Care Unit. However, as the ventilator control becomes increasingly more complex, it is non-trivial for less experienced clinicians to control the settings. In this paper, the novel Hebbian based Rule Reduction (HeRR) neuro-fuzzy system is applied to model this control problem for intra-patient and inter-patient ventilator control. These two ICU care studies demonstrate the capability of HeRR neuro-fuzzy system in extracting the salient knowledge embedded in the training data. Experimental results on the two studies show promising use of the HeRR neuro-fuzzy system for artificial ventilation.
URI: https://hdl.handle.net/10356/97929
http://hdl.handle.net/10220/11234
DOI: 10.1016/j.eswa.2012.01.028
Rights: © 2012 Published by Elsevier Ltd.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:SCSE Journal Articles

Google ScholarTM

Check

Altmetric


Plumx

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.