A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling

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...

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Main Authors: Ng, G. S., Liu, F., Loh, T. F., Quek, Chai
Other Authors: School of Computer Engineering
Format: Article
Language:English
Published: 2013
Subjects:
Online Access:https://hdl.handle.net/10356/97929
http://hdl.handle.net/10220/11234
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Institution: Nanyang Technological University
Language: English
id sg-ntu-dr.10356-97929
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spelling sg-ntu-dr.10356-979292020-05-28T07:18:20Z A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling Ng, G. S. Liu, F. Loh, T. F. Quek, Chai School of Computer Engineering Centre for Computational Intelligence DRNTU::Engineering::Computer science and engineering 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. 2013-07-11T08:12:03Z 2019-12-06T19:48:26Z 2013-07-11T08:12:03Z 2019-12-06T19:48:26Z 2012 2012 Journal Article https://hdl.handle.net/10356/97929 http://hdl.handle.net/10220/11234 10.1016/j.eswa.2012.01.028 en Expert systems with applications © 2012 Published by Elsevier Ltd.
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Ng, G. S.
Liu, F.
Loh, T. F.
Quek, Chai
A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
description 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.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Ng, G. S.
Liu, F.
Loh, T. F.
Quek, Chai
format Article
author Ng, G. S.
Liu, F.
Loh, T. F.
Quek, Chai
author_sort Ng, G. S.
title A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
title_short A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
title_full A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
title_fullStr A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
title_full_unstemmed A novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
title_sort novel brain-inspired neuro-fuzzy hybrid system for artificial ventilation modeling
publishDate 2013
url https://hdl.handle.net/10356/97929
http://hdl.handle.net/10220/11234
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