A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
Ng, G. S.
Loh, T. F.
Date of Issue2012
School of Computer Engineering
Centre for Computational Intelligence
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.
DRNTU::Engineering::Computer science and engineering
Expert systems with applications
© 2012 Published by Elsevier Ltd.