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At-home sleep monitoring using generic ear-EEG

INTRODUCTION: A device comprising two generic earpieces with embedded dry electrodes for ear-centered electroencephalography (ear-EEG) was developed. The objective was to provide ear-EEG based sleep monitoring to a wide range of the population without tailoring the device to the individual. METHODS:...

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Autores principales: Tabar, Yousef R., Mikkelsen, Kaare B., Shenton, Nelly, Kappel, Simon L., Bertelsen, Astrid R., Nikbakht, Reza, Toft, Hans O., Henriksen, Chris H., Hemmsen, Martin C., Rank, Mike L., Otto, Marit, Kidmose, Preben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928964/
https://www.ncbi.nlm.nih.gov/pubmed/36816118
http://dx.doi.org/10.3389/fnins.2023.987578
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author Tabar, Yousef R.
Mikkelsen, Kaare B.
Shenton, Nelly
Kappel, Simon L.
Bertelsen, Astrid R.
Nikbakht, Reza
Toft, Hans O.
Henriksen, Chris H.
Hemmsen, Martin C.
Rank, Mike L.
Otto, Marit
Kidmose, Preben
author_facet Tabar, Yousef R.
Mikkelsen, Kaare B.
Shenton, Nelly
Kappel, Simon L.
Bertelsen, Astrid R.
Nikbakht, Reza
Toft, Hans O.
Henriksen, Chris H.
Hemmsen, Martin C.
Rank, Mike L.
Otto, Marit
Kidmose, Preben
author_sort Tabar, Yousef R.
collection PubMed
description INTRODUCTION: A device comprising two generic earpieces with embedded dry electrodes for ear-centered electroencephalography (ear-EEG) was developed. The objective was to provide ear-EEG based sleep monitoring to a wide range of the population without tailoring the device to the individual. METHODS: To validate the device ten healthy subjects were recruited for a 12-night sleep study. The study was divided into two parts; part A comprised two nights with both ear-EEG and polysomnography (PSG), and part B comprised 10 nights using only ear-EEG. In addition to the electrophysiological measurements, subjects filled out a questionnaire after each night of sleep. RESULTS: The subjects reported that the ear-EEG system was easy to use, and that the comfort was better in part B. The performance of the system was validated by comparing automatic sleep scoring based on ear-EEG with PSG-based sleep scoring performed by a professional trained sleep scorer. Cohen’s kappa was used to assess the agreement between the manual and automatic sleep scorings, and the study showed an average kappa value of 0.71. The majority of the 20 recordings from part A yielded a kappa value above 0.7. The study was compared to a companioned study conducted with individualized earpieces. To compare the sleep across the two studies and two parts, 7 different sleeps metrics were calculated based on the automatic sleep scorings. The ear-EEG nights were validated through linear mixed model analysis in which the effects of equipment (individualized vs. generic earpieces), part (PSG and ear-EEG vs. only ear-EEG) and subject were investigated. We found that the subject effect was significant for all computed sleep metrics. Furthermore, the equipment did not show any statistical significant effect on any of the sleep metrics. DISCUSSION: These results corroborate that generic ear-EEG is a promising alternative to the gold standard PSG for sleep stage monitoring. This will allow sleep stage monitoring to be performed in a less obtrusive way and over longer periods of time, thereby enabling diagnosis and treatment of diseases with associated sleep disorders.
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spelling pubmed-99289642023-02-16 At-home sleep monitoring using generic ear-EEG Tabar, Yousef R. Mikkelsen, Kaare B. Shenton, Nelly Kappel, Simon L. Bertelsen, Astrid R. Nikbakht, Reza Toft, Hans O. Henriksen, Chris H. Hemmsen, Martin C. Rank, Mike L. Otto, Marit Kidmose, Preben Front Neurosci Neuroscience INTRODUCTION: A device comprising two generic earpieces with embedded dry electrodes for ear-centered electroencephalography (ear-EEG) was developed. The objective was to provide ear-EEG based sleep monitoring to a wide range of the population without tailoring the device to the individual. METHODS: To validate the device ten healthy subjects were recruited for a 12-night sleep study. The study was divided into two parts; part A comprised two nights with both ear-EEG and polysomnography (PSG), and part B comprised 10 nights using only ear-EEG. In addition to the electrophysiological measurements, subjects filled out a questionnaire after each night of sleep. RESULTS: The subjects reported that the ear-EEG system was easy to use, and that the comfort was better in part B. The performance of the system was validated by comparing automatic sleep scoring based on ear-EEG with PSG-based sleep scoring performed by a professional trained sleep scorer. Cohen’s kappa was used to assess the agreement between the manual and automatic sleep scorings, and the study showed an average kappa value of 0.71. The majority of the 20 recordings from part A yielded a kappa value above 0.7. The study was compared to a companioned study conducted with individualized earpieces. To compare the sleep across the two studies and two parts, 7 different sleeps metrics were calculated based on the automatic sleep scorings. The ear-EEG nights were validated through linear mixed model analysis in which the effects of equipment (individualized vs. generic earpieces), part (PSG and ear-EEG vs. only ear-EEG) and subject were investigated. We found that the subject effect was significant for all computed sleep metrics. Furthermore, the equipment did not show any statistical significant effect on any of the sleep metrics. DISCUSSION: These results corroborate that generic ear-EEG is a promising alternative to the gold standard PSG for sleep stage monitoring. This will allow sleep stage monitoring to be performed in a less obtrusive way and over longer periods of time, thereby enabling diagnosis and treatment of diseases with associated sleep disorders. Frontiers Media S.A. 2023-02-01 /pmc/articles/PMC9928964/ /pubmed/36816118 http://dx.doi.org/10.3389/fnins.2023.987578 Text en Copyright © 2023 Tabar, Mikkelsen, Shenton, Kappel, Bertelsen, Nikbakht, Toft, Henriksen, Hemmsen, Rank, Otto and Kidmose. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Neuroscience
Tabar, Yousef R.
Mikkelsen, Kaare B.
Shenton, Nelly
Kappel, Simon L.
Bertelsen, Astrid R.
Nikbakht, Reza
Toft, Hans O.
Henriksen, Chris H.
Hemmsen, Martin C.
Rank, Mike L.
Otto, Marit
Kidmose, Preben
At-home sleep monitoring using generic ear-EEG
title At-home sleep monitoring using generic ear-EEG
title_full At-home sleep monitoring using generic ear-EEG
title_fullStr At-home sleep monitoring using generic ear-EEG
title_full_unstemmed At-home sleep monitoring using generic ear-EEG
title_short At-home sleep monitoring using generic ear-EEG
title_sort at-home sleep monitoring using generic ear-eeg
topic Neuroscience
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9928964/
https://www.ncbi.nlm.nih.gov/pubmed/36816118
http://dx.doi.org/10.3389/fnins.2023.987578
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