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|Title:||A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling||Authors:||Ng, G. S.
Loh, T. F.
|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
|DOI:||http://dx.doi.org/10.1016/j.eswa.2012.01.028||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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