Expert system for characterization of electroencephalography (EEG) signals to detect sleep onset

Abstract

This paper describes the development of an approach that uses expert system to differentiate various stages of sleep: i.e. from awake state to stage II sleep. An expert system that performs sleep staging using the characteristics analysis of the human sleeps electroencephalography (EEG) signals are presented. The Kappa PC expert system shell, the frequencies and waveforms characteristics of the EEG signals were used in the implementation of the sleep on set detection.