To improve applicability of automatic sleep staging an efficient subject-independent method
is proposed with application in sleep–wake detection and in multiclass sleep staging …

In this paper, a rule-based automatic sleep staging method was proposed. Twelve features
including temporal and spectrum analyses of the EEG, EOG, and EMG signals were utilized …

Sleep scoring is used as a diagnostic technique in the diagnosis and treatment of sleep
disorders. Automated sleep scoring is crucial, since the large volume of data should be …

An automatic method for the classification of wakefulness and sleep stages SREM, S1, S2
and SWS was developed based on our two previous studies. The method is based on a two …

The present paper reports the first systematic application of a hybrid sleep EEG scoring
system and compares performance of that system with human scoring techniques. The …

This study reports an approach to using a pattern recognition system, simulated on a digital
computer, for automatic, all-night sleep stage scoring. A detailed comparison of percent …

To find a better automated sleep-wake staging system for human analyses of numerous
polygraphic records is an interesting challenge in sleep research. Over the last few decades …

Background and objective: Automatic sleep staging is essential for alleviating the burden of
the physicians of analyzing a large volume of data by visual inspection. It is also a …

To date, the only standard for the classification of sleep-EEG recordings that has found
worldwide acceptance are the rules published in 1968 by Rechtschaffen and Kales. Even …