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Accurate whole-night sleep monitoring with dry-contact ear-EEG

Sleep is a key phenomenon to both understanding, diagnosing and treatment of many illnesses, as well as for studying health and well being in general. Today, the only widely accepted method for clinically monitoring sleep is the polysomnography (PSG), which is, however, both expensive to perform and...

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Autores principales: Mikkelsen, Kaare B., Tabar, Yousef R., Kappel, Simon L., Christensen, Christian B., Toft, Hans O., Hemmsen, Martin C., Rank, Mike L., Otto, Marit, Kidmose, Preben
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856384/
https://www.ncbi.nlm.nih.gov/pubmed/31727953
http://dx.doi.org/10.1038/s41598-019-53115-3
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author Mikkelsen, Kaare B.
Tabar, Yousef R.
Kappel, Simon L.
Christensen, Christian B.
Toft, Hans O.
Hemmsen, Martin C.
Rank, Mike L.
Otto, Marit
Kidmose, Preben
author_facet Mikkelsen, Kaare B.
Tabar, Yousef R.
Kappel, Simon L.
Christensen, Christian B.
Toft, Hans O.
Hemmsen, Martin C.
Rank, Mike L.
Otto, Marit
Kidmose, Preben
author_sort Mikkelsen, Kaare B.
collection PubMed
description Sleep is a key phenomenon to both understanding, diagnosing and treatment of many illnesses, as well as for studying health and well being in general. Today, the only widely accepted method for clinically monitoring sleep is the polysomnography (PSG), which is, however, both expensive to perform and influences the sleep. This has led to investigations into light weight electroencephalography (EEG) alternatives. However, there has been a substantial performance gap between proposed alternatives and PSG. Here we show results from an extensive study of 80 full night recordings of healthy participants wearing both PSG equipment and ear-EEG. We obtain automatic sleep scoring with an accuracy close to that achieved by manual scoring of scalp EEG (the current gold standard), using only ear-EEG as input, attaining an average Cohen’s kappa of 0.73. In addition, this high performance is present for all 20 subjects. Finally, 19/20 subjects found that the ear-EEG had little to no negative effect on their sleep, and subjects were generally able to apply the equipment without supervision. This finding marks a turning point on the road to clinical long term sleep monitoring: the question should no longer be whether ear-EEG could ever be used for clinical home sleep monitoring, but rather when it will be.
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spelling pubmed-68563842019-12-17 Accurate whole-night sleep monitoring with dry-contact ear-EEG Mikkelsen, Kaare B. Tabar, Yousef R. Kappel, Simon L. Christensen, Christian B. Toft, Hans O. Hemmsen, Martin C. Rank, Mike L. Otto, Marit Kidmose, Preben Sci Rep Article Sleep is a key phenomenon to both understanding, diagnosing and treatment of many illnesses, as well as for studying health and well being in general. Today, the only widely accepted method for clinically monitoring sleep is the polysomnography (PSG), which is, however, both expensive to perform and influences the sleep. This has led to investigations into light weight electroencephalography (EEG) alternatives. However, there has been a substantial performance gap between proposed alternatives and PSG. Here we show results from an extensive study of 80 full night recordings of healthy participants wearing both PSG equipment and ear-EEG. We obtain automatic sleep scoring with an accuracy close to that achieved by manual scoring of scalp EEG (the current gold standard), using only ear-EEG as input, attaining an average Cohen’s kappa of 0.73. In addition, this high performance is present for all 20 subjects. Finally, 19/20 subjects found that the ear-EEG had little to no negative effect on their sleep, and subjects were generally able to apply the equipment without supervision. This finding marks a turning point on the road to clinical long term sleep monitoring: the question should no longer be whether ear-EEG could ever be used for clinical home sleep monitoring, but rather when it will be. Nature Publishing Group UK 2019-11-14 /pmc/articles/PMC6856384/ /pubmed/31727953 http://dx.doi.org/10.1038/s41598-019-53115-3 Text en © The Author(s) 2019 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Mikkelsen, Kaare B.
Tabar, Yousef R.
Kappel, Simon L.
Christensen, Christian B.
Toft, Hans O.
Hemmsen, Martin C.
Rank, Mike L.
Otto, Marit
Kidmose, Preben
Accurate whole-night sleep monitoring with dry-contact ear-EEG
title Accurate whole-night sleep monitoring with dry-contact ear-EEG
title_full Accurate whole-night sleep monitoring with dry-contact ear-EEG
title_fullStr Accurate whole-night sleep monitoring with dry-contact ear-EEG
title_full_unstemmed Accurate whole-night sleep monitoring with dry-contact ear-EEG
title_short Accurate whole-night sleep monitoring with dry-contact ear-EEG
title_sort accurate whole-night sleep monitoring with dry-contact ear-eeg
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6856384/
https://www.ncbi.nlm.nih.gov/pubmed/31727953
http://dx.doi.org/10.1038/s41598-019-53115-3
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