Since its discovery some 50 years ago, the electro-encephalogram (EEG) has formed the basis for classification of sleep into several stages, either laboriously performed by visual examination of the EEG and related signals or, more recently, by automated techniques. Both visual scoring and most automated analyses are highly subjective and rely on application of a predefined set of rules. A method of analysing the EEG which requires no such application of rules and aims to give some indication of the dynamics of sleep in humans is proposed in the paper.

Original publication

DOI

10.1007/bf02457830

Type

Journal article

Journal

Medical & biological engineering & computing

Publication Date

09/1992

Volume

30

Pages

509 - 517

Addresses

Department of Engineering Science, University of Oxford, UK.

Keywords

Humans, Electroencephalography, Sleep, Sleep Stages, Neural Networks (Computer), Models, Biological, Adult, Female