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ANALYSIS OF THE SLEEP EEG USING A MULTILAYER NETWORK WITH SPATIAL-ORGANIZATION

Abstract:

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 techniques. 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 gi...

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Publication status:
Published

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Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Sub department:
Institute of Biomedical Engineering
Role:
Author
Host title:
IEE PROCEEDINGS-F RADAR AND SIGNAL PROCESSING
Volume:
139
Issue:
6
Pages:
420-425
Publication date:
1992-12-01
ISSN:
0956-375X
Source identifiers:
61686
Keywords:
Pubs id:
pubs:61686
UUID:
uuid:b1a061a6-dae4-4a53-a146-0cc3fd0950f7
Local pid:
pubs:61686
Deposit date:
2012-12-19

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