ANALYSIS OF THE SLEEP EEG USING A MULTILAYER NETWORK WITH SPATIAL-ORGANIZATION
ANALYSIS OF THE SLEEP EEG USING A MULTILAYER NETWORK WITH SPATIAL-ORGANIZATION
复制标题
DOI：
10.1049/ip-f-2.1992.0060
复制
发表时间：
1992-12-01
期刊：
影响因子：
--
通讯作者：
TARASSENKO, L
中科院分区：
文献类型：
--
作者：
ROBERTS, S;TARASSENKO, L
自从大约50年前发现以来，脑电(EEG)已经形成了将睡眠分为几个阶段的基础。这种分类是通过对脑电和相关信号的目测检查，或者最近通过自动化技术来费力地执行的。视觉评分和大多数自动化分析都依赖于预定义规则集的应用。我们已经提出了一种睡眠分析方法，它不需要应用这样的规则，目的是给出一些关于人类睡眠动态的指示。
Since its discovery some 50 years ago, the electroencephalogram (EEG) has formed the basis for the classification of sleep into several stages. Such classification has been laboriously performed by visual examination of the EEG and related signals, or, more recently, by automated techiques. Both visual scoring and most automated analyses rely on the application of a predefined set of rules. We have proposed a method of sleep analysis that requires no such application of rules, and aims to give some indication of the dynamics of sleep in humans.