Neuro-fuzzy closed-loop control of depth of anaesthesia

被引：30

作者：

Allen, R ^{[1
]}

Smith, D

机构：

[1] Univ Southampton, Inst Sound & Vibrat Res, Southampton SO17 1BJ, Hants, England

[2] Univ Southampton, Dept Anaesthesia, Southampton SO17 1BJ, Hants, England

来源：

ARTIFICIAL INTELLIGENCE IN MEDICINE | 2001年 / 21卷 / 1-3期

关键词：

anaesthesia; closed-loop control; auditory evoked potential; neural network; fuzzy controller;

D O I：

10.1016/S0933-3657(00)00084-1

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The utility of the auditory evoked potential (AEP) is under investigation as a feedback signal for the automatic closed-loop control of general anaesthesia using neural networks and fuzzy logic. The AEP is a signal derived from the electroencephalogram (EEG) in response to auditory stimulation, which may be useful as an index of the 'depth' of anaesthesia. A simple back-propagation neural network can learn the AEP and provides a satisfactory input to a fuzzy logic infusion controller for the administration of anaesthetic drugs, but the problem remains that of reliable signal acquisition. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：185 / 191

页数：7

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