Depth of anaesthesia monitors and the latest algorithms

被引:0
作者
Tian-Ning Li [1 ]
Yan Li [1 ]
机构
[1] Faculty of Health,Engineering and Sciences,University of Southern Queensland
关键词
Depth of anaesthesia; Consciousness; Electroencephalograph;
D O I
暂无
中图分类号
R614 [麻醉学];
学科分类号
100217 ;
摘要
This paper reviews the existing depth of anaesthesia(DoA) monitors and their algorithms and also proposes to improve their performance from four aspects.\n ideal DoA monitor should be able to suggest a personalised drug dosages,to predict and provide early warnings when dosages are inappropriate,to he porlalile and highty cost—effective.The limitations of the existing DoA monitors commonly include unsatisfied data filtering techniques.time delay for the monitoring responses,and inflexible and low noise immunity problems.The latest research results show that their performance can be improved using up—to—date computing technology and neurophysiology.The findings in Chinese market review show that neither the imported nor the Chinese domestic DoA monitors are widely utilised at hospitals.but the demand for DoA monitors is very high.Clearly there is a high demand which encourages the development of a better DoA monitor and its mass production in China.
引用
收藏
页码:429 / 437
页数:9
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