Publication: Sleep EEG derived from behind-the-ear electrodes (cEEGrid) compared to standard polysomnography: a proof of concept study
Authors
Sterr, Annette ; Ebajemito, James K. ; Mikkelsen, Kaare B. ; Santhi, Nayantara ; Monica, Ciro della ; Grainger, Lucinda ; Atzori, Giuseppe ; Revell, Victoria L. ; Debener, Stefan ; Dijk, Derk-Jan ; DeVos, Maarten ; Bonmatí Carrión, María de los Ángeles
item.page.secondaryauthor
item.page.director
Publisher
Frontiers Media
publication.page.editor
publication.page.department
DOI
https://doi.org/10.3389/fnhum.2018.00452
item.page.type
info:eu-repo/semantics/article
Description
© 2018 Sterr, Ebajemito, Mikkelsen, Bonmati-Carrion, Santhi, della Monica, Grainger, Atzori, Revell, Debener, Dijk and DeVos. This manuscript version is made available under the CC-BY 4.0 license http://creativecommons.org/licenses/by/4.0/
This document is the Published Manuscript, version of a Published Work that appeared in final form in Frontiers in Human Neuroscience. To access the final edited and published work see https://doi.org/10.3389/fnhum.2018.00452
Abstract
Electroencephalography (EEG) recordings represent a vital component of the
assessment of sleep physiology, but the methodology presently used is costly, intrusive
to participants, and laborious in application. There is a recognized need to develop more
easily applicable yet reliable EEG systems that allow unobtrusive long-term recording
of sleep-wake EEG ideally away from the laboratory setting. cEEGrid is a recently
developed flex-printed around-the-ear electrode array, which holds great potential for
sleep-wake monitoring research. It is comfortable to wear, simple to apply, and minimally
intrusive during sleep. Moreover, it can be combined with a smartphone-controlled
miniaturized amplifier and is fully portable. Evaluation of cEEGrid as a motion-tolerant
device is ongoing, but initial findings clearly indicate that it is very well suited for cognitive
research. The present study aimed to explore the suitability of cEEGrid for sleep
research, by testing whether cEEGrid data affords the signal quality and characteristics
necessary for sleep stage scoring. In an accredited sleep laboratory, sleep data from
cEEGrid and a standard PSG system were acquired simultaneously. Twenty participants
were recorded for one extended nocturnal sleep opportunity. Fifteen data sets were
scored manually. Sleep parameters relating to sleep maintenance and sleep architecture
were then extracted and statistically assessed for signal quality and concordance. The
findings suggest that the cEEGrid system is a viable and robust recording tool to capture
sleep and wake EEG. Further research is needed to fully determine the suitability of
cEEGrid for basic and applied research as well as sleep medicine.
publication.page.subject
Citation
Frontiers in Human Neuroscience, 2018, Vol. 12 : 452
item.page.embargo
Collections
Ir a Estadísticas
Este ítem está sujeto a una licencia Creative Commons. http://creativecommons.org/licenses/by/4.0/