Monitoring anesthesia using neural networks: A survey

被引：10
作者：
Robert C. [1 ]
Karasinski P. [2 ]
Arreto C.D. [1 ,3 ]
Gaudy J.F. [1 ]
机构：
[1] Laboratoire d'Anatomie Fonctionnelle, Université René Descartes, Montrouge 92 120, 1, Rue Maurice Arnoux
[2] L.E.R.I.S.S., Université Paris 12 - Val de Marne, Créteil, Cedex 94 010, 61, Avenue du General de Gaulle
[3] Département de Pharmacologie, Université René Descartes, Montrouge 92 120, 1, Rue Maurice Arnoux
来源：
Journal of Clinical Monitoring and Computing | 2002年 / 17卷 / 3-4期
关键词：
Anesthesia; EEG; MLAEP; Monitoring; Neural network;
D O I：
10.1023/A:1020783324797
中图分类号：
学科分类号：
摘要：
New methods of data processing combined with advances in computer technology have revolutionized monitoring of patients under anesthesia. The development of systems based on analysis of brain electrical activity (EEG or evoked potentials) by neural networks has provided impetus to many investigators. Though not claiming to be the end-all in patient monitoring, the potential and efficiency of the combination does indeed stand out. Various strategies are presented and discussed, as well as suggestions for further investigation.
引用
收藏
页码：259 / 267
页数：8
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