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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.
Rights: © 2012 Published by Elsevier Ltd.
metadata.item.grantfulltext: none
metadata.item.fulltext: No Fulltext
Appears in Collections:SCSE Journal Articles

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