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

被引：2

作者：

Ng, G. S. ^{[2
]}

Liu, F. ^{[1
]}

Loh, T. F. ^{[3
]}

Quek, C. ^{[1
]}

机构：

[1] Nanyang Technol Univ, Ctr Computat Intelligence, Sch Comp Engn, Singapore 639798, Singapore

[2] Nanyang Polytech, Sch Elect Engn, Singapore 569830, Singapore

[3] KK Womens & Childrens Hosp, Dept Paediat Med, Singapore 229899, Singapore

来源：

EXPERT SYSTEMS WITH APPLICATIONS | 2012年 / 39卷 / 15期

关键词：

Artificial ventilator; Intra-patient and inter-patient control; HeRR neuro-fuzzy system; Salient knowledge extraction; MECHANICAL VENTILATION; NETWORK; RULE; INFERENCE;

D O I：

10.1016/j.eswa.2012.01.028

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

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. (C) 2012 Published by Elsevier Ltd.

引用

页码：11808 / 11817

页数：10

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