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Recording the sleep EEG with periorbital skin electrodes.


Werth, E; Borbely, A A (1995). Recording the sleep EEG with periorbital skin electrodes. Electroencephalography and Clinical Neurophysiology, 94(6):406-413.

Abstract

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. The typical time course of EEG slow-wave activity (SWA; power density in the 0.75-4.5 Hz range) could be derived from both signals with only minor differences between the data sets. However, compared to the EEG spectra, power density of the EOG spectra was attenuated in frequencies higher than 2 Hz and the typical changes in the spindle frequency range were not evident. The results show that the major sleep parameters as well as the dynamics of SWA can be reliably determined from signals recorded from periorbital skin electrodes.

Abstract

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. The typical time course of EEG slow-wave activity (SWA; power density in the 0.75-4.5 Hz range) could be derived from both signals with only minor differences between the data sets. However, compared to the EEG spectra, power density of the EOG spectra was attenuated in frequencies higher than 2 Hz and the typical changes in the spindle frequency range were not evident. The results show that the major sleep parameters as well as the dynamics of SWA can be reliably determined from signals recorded from periorbital skin electrodes.

Citations

7 citations in Web of Science®
9 citations in Scopus®
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Additional indexing

Item Type:Journal Article, refereed
Communities & Collections:04 Faculty of Medicine > Institute of Pharmacology and Toxicology
Dewey Decimal Classification:570 Life sciences; biology
610 Medicine & health
Language:English
Date:1 June 1995
Deposited On:11 Feb 2008 12:19
Last Modified:05 Apr 2016 12:16
Publisher:Elsevier
ISSN:0013-4694
Publisher DOI:https://doi.org/10.1016/0013-4694(94)00337-K
PubMed ID:7607094

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