Sleep is a period of rest that is essential for functional learning ability, mental health, and
even the performance of normal activities. Insomnia, sleep apnea, and restless legs are all …

In this paper we present a new method to do automatic sleep stage classification. The
algorithm consists of basically three modules. A wavelet packet transformation (WPT) is …

Scoring of REM sleep based on polysomnographic recordings is a laborious and time-
consuming process. The growing number of ambulatory devices designed for cost-effective …

A brain computer interface (BCI) is a realtime comunication system designed to allow users
to voluntarily send messages or commands without sending them through the brain's normal …

In 1975 Vogel and coworkers published their classical study where they compared selective
rapid eye movement (REM) sleep deprivation by brief awakenings to a control intervention …

In selective REM sleep deprivation (SRSD), the occurrence of stage REM is repeatedly
interrupted by short awakenings. Typically, the interventions aggregate in clusters …

In various studies the implementation of nonlinear and nonconventional measures has
significantly improved EEG (electroencephalogram) analyses as compared to using …

The EEG is a non-invasive technique to study the brain and very useful in sleep analysis.
The classification of the sleep in stages was widely used, but has been limited by its coarse …

Sleep scoring is commonly performed from electroencephalogram (EEG), electrooculogram
(EOG), and electromyogram (EMG) to produce a so-called hypnogram. A neurologist thus …

This thesis primarily covers the automation problem for sleep versus awake detection, which
is sometimes accomplished by differentiating the various sleep stages prior to clustering …