The aim of the study was to examine whether the typical changes of the EEG in the course of a sleep episode can be recorded by skin electrodes placed at the outer canthi of the eyes. In sleep recording from young, healthy subjects, the signals from the electro-oculogram (EOG, E1-A2) derivation and a central scalp EEG derivation (C3-A2) were compared. Sleep stage scores obtained separately from each of the two signals yielded highly corresponding values with the exception of stages 2 and 4, for which there were discrepancies. Both signals were subjected to spectral analysis to compare the spectra and their evolution during sleep. An automated detection routine served to identify and eliminate epochs contaminated by eye movement potentials. T...
Background: An automated process for sleep staging based on intracranial EEG data alone is needed to...
Sleeping brain activity reflects brain anatomy and physiology. The aim of this study was to use high...
The recommendations for identifying sleep stages based on the interpretation of electrophysiological...
Following a brief review of eye movements in terms of mental activities and a technology of electro-...
Sleep electroencephalography is the recording of the electrical activity of the brain during sleep. ...
In this thesis automatic sleep stage classification was developed and evaluated. The method was base...
This paper presents preliminary results of a temporal relationship between slow eye movements (SEMs)...
AbstractBackgroundWe investigate the potential usability of a novel in-the-ear electroencephalograph...
Objective: The aim of the present study was to assess the relationship between slow eye movements (S...
Scientists concentrate on the assessment of the micro and macro structure of sleep and the associate...
Background Sleep is commonly assessed by recording the electroencephalogram (EEG) of the sleeping...
Traditional sleep monitoring involves obtaining a polysomnography which uses a minimum of six channe...
Electroencephalography (EEG) recordings represent a vital component of the assessment of sleep physi...
RATIONALE: To date the only quantifiable measure of neural changes that define sleep is electroencep...
The present report concerns the first study in which electrooculographic (EOG) contamination of elec...
Background: An automated process for sleep staging based on intracranial EEG data alone is needed to...
Sleeping brain activity reflects brain anatomy and physiology. The aim of this study was to use high...
The recommendations for identifying sleep stages based on the interpretation of electrophysiological...
Following a brief review of eye movements in terms of mental activities and a technology of electro-...
Sleep electroencephalography is the recording of the electrical activity of the brain during sleep. ...
In this thesis automatic sleep stage classification was developed and evaluated. The method was base...
This paper presents preliminary results of a temporal relationship between slow eye movements (SEMs)...
AbstractBackgroundWe investigate the potential usability of a novel in-the-ear electroencephalograph...
Objective: The aim of the present study was to assess the relationship between slow eye movements (S...
Scientists concentrate on the assessment of the micro and macro structure of sleep and the associate...
Background Sleep is commonly assessed by recording the electroencephalogram (EEG) of the sleeping...
Traditional sleep monitoring involves obtaining a polysomnography which uses a minimum of six channe...
Electroencephalography (EEG) recordings represent a vital component of the assessment of sleep physi...
RATIONALE: To date the only quantifiable measure of neural changes that define sleep is electroencep...
The present report concerns the first study in which electrooculographic (EOG) contamination of elec...
Background: An automated process for sleep staging based on intracranial EEG data alone is needed to...
Sleeping brain activity reflects brain anatomy and physiology. The aim of this study was to use high...
The recommendations for identifying sleep stages based on the interpretation of electrophysiological...