The Intelligent Systems in Biomedicine laboratory in the Department of Automatic Control and Systems Engineering at the University of Sheffield, UK

被引：6

作者：

Linkens, DA ^{[1
]}

Mahfouf, M ^{[1
]}

机构：

[1] Univ Sheffield, Dept Automat Control & Syst Engn, Sheffield S1 3JD, S Yorkshire, England

来源：

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

基金：

英国工程与自然科学研究理事会;

关键词：

intelligent systems; anaesthesia; muscle relaxation; analgesia; ventilator management; weaning; human performance;

D O I：

10.1016/S0933-3657(00)00082-8

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The group has been engaged in research into modelling and control in biomedicine for many years. Initially, this used quantitative approaches but increasingly this has moved towards qualitative techniques, in particular that of fuzzy logic. The current emphasis is on hybrid models (quantitative/qualitative) and hybrid intelligent algorithms (fuzzy logic, neural networks, evolutionary computing) applied into anaesthesia. (C) 2001 Elsevier Science B.V. All rights reserved.

引用

页码：171 / 176

页数：6

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