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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.


Journal article


Med Biol Eng Comput

Publication Date





509 - 517


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