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Journal ArticleDOI

On automatic methods of sleep staging by EEG spectra

TLDR
It is concluded that spectra are adequate measurement parameters for all sleep stages with the possible exception of the stage 1/REM discrimination, where the level of performance is marginally acceptable.
About
This article is published in Electroencephalography and Clinical Neurophysiology.The article was published on 1970-05-01. It has received 90 citations till now. The article focuses on the topics: Sleep Stages.

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Citations
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Journal ArticleDOI

EEG theta waves and psychological phenomena: a review and analysis.

TL;DR: Although there is some evidence for a relationship between theta and psychological processes, it is concluded that the degree to which properties of theta activity are systematically related to specific psychological processes is not yet known.
Journal ArticleDOI

An ensemble system for automatic sleep stage classification using single channel EEG signal

TL;DR: The proposed ensemble SVM-based method could be used as an efficient and cost-effective method for sleep staging with the advantage of reducing stress and burden imposed on subjects.
Journal ArticleDOI

Learning machines and sleeping brains: Automatic sleep stage classification using decision-tree multi-class support vector machines.

TL;DR: The promising results of the proposed sleep staging framework suggest that it may be a valuable alternative to existing automatic methods and that it could accelerate visual scoring by providing a robust starting hypnogram that can be further fine-tuned by expert inspection.
Journal ArticleDOI

Computer-assisted sleep staging

TL;DR: To address the subjectivity in manual scoring of polysomnograms, a computer-assisted sleep staging method that uses the principles of segmentation and self-organization based on primitive sleep-related features to find the pseudonatural stages present in the record.
References
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Book

An Introduction to Multivariate Statistical Analysis

TL;DR: In this article, the distribution of the Mean Vector and the Covariance Matrix and the Generalized T2-Statistic is analyzed. But the distribution is not shown to be independent of sets of Variates.
Book

BMD : biomedical computer programs

TL;DR: This book is very referred for you because it gives not only the experience but also lesson, it is about this book that will give wellness for all people from many societies.
Journal ArticleDOI

Cyclic variations in EEG during sleep and their relation to eye movements, body motility, and dreaming.

TL;DR: Records from a large number of nights in single individuals indicated that some could maintain a very striking regularity in their sleep pattern from night to night, and that body movement, after rising to a peak, dropped sharply at the onset of rapid eye movements and rebounded abruptly as the eye movements ceased.
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