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Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography
While polysomnography (PSG) is the gold standard to quantify sleep, modern technology allows for new alternatives. PSG is obtrusive, affects the sleep it is set out to measure and requires technical assistance for mounting. A number of less obtrusive solutions based on alternative methods have been...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931275/ https://www.ncbi.nlm.nih.gov/pubmed/36812563 http://dx.doi.org/10.1371/journal.pdig.0000134 |
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author | Kjaer, Troels Wesenberg Rank, Mike Lind Hemmsen, Martin Christian Kidmose, Preben Mikkelsen, Kaare |
author_facet | Kjaer, Troels Wesenberg Rank, Mike Lind Hemmsen, Martin Christian Kidmose, Preben Mikkelsen, Kaare |
author_sort | Kjaer, Troels Wesenberg |
collection | PubMed |
description | While polysomnography (PSG) is the gold standard to quantify sleep, modern technology allows for new alternatives. PSG is obtrusive, affects the sleep it is set out to measure and requires technical assistance for mounting. A number of less obtrusive solutions based on alternative methods have been introduced, but few have been clinically validated. Here we validate one of these solutions, the ear-EEG method, against concurrently recorded PSG in twenty healthy subjects each measured for four nights. Two trained technicians scored the 80 nights of PSG independently, while an automatic algorithm scored the ear-EEG. The sleep stages and eight sleep metrics (Total Sleep Time (TST), Sleep Onset Latency, Sleep Efficiency, Wake After Sleep Onset, REM latency, REM fraction of TST, N2 fraction of TST, and N3 fraction of TST) were used in the further analysis. We found the sleep metrics: Total Sleep Time, Sleep Onset Latency, Sleep Efficiency, Wake After Sleep Onset were estimated with high accuracy and precision between automatic sleep scoring and manual sleep scoring. However, the REM latency and REM fraction of sleep showed high accuracy but low precision. Further, the automatic sleep scoring systematically overestimated the N2 fraction of sleep and slightly underestimated the N3 fraction of sleep. We demonstrate that sleep metrics estimated from automatic sleep scoring based on repeated ear-EEG in some cases are more reliably estimated with repeated nights of automatically scored ear-EEG than with a single night of manually scored PSG. Thus, given the obtrusiveness and cost of PSG, ear-EEG seems to be a useful alternative for sleep staging for the single night recording and an advantageous choice for several nights of sleep monitoring. |
format | Online Article Text |
id | pubmed-9931275 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-99312752023-02-16 Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography Kjaer, Troels Wesenberg Rank, Mike Lind Hemmsen, Martin Christian Kidmose, Preben Mikkelsen, Kaare PLOS Digit Health Research Article While polysomnography (PSG) is the gold standard to quantify sleep, modern technology allows for new alternatives. PSG is obtrusive, affects the sleep it is set out to measure and requires technical assistance for mounting. A number of less obtrusive solutions based on alternative methods have been introduced, but few have been clinically validated. Here we validate one of these solutions, the ear-EEG method, against concurrently recorded PSG in twenty healthy subjects each measured for four nights. Two trained technicians scored the 80 nights of PSG independently, while an automatic algorithm scored the ear-EEG. The sleep stages and eight sleep metrics (Total Sleep Time (TST), Sleep Onset Latency, Sleep Efficiency, Wake After Sleep Onset, REM latency, REM fraction of TST, N2 fraction of TST, and N3 fraction of TST) were used in the further analysis. We found the sleep metrics: Total Sleep Time, Sleep Onset Latency, Sleep Efficiency, Wake After Sleep Onset were estimated with high accuracy and precision between automatic sleep scoring and manual sleep scoring. However, the REM latency and REM fraction of sleep showed high accuracy but low precision. Further, the automatic sleep scoring systematically overestimated the N2 fraction of sleep and slightly underestimated the N3 fraction of sleep. We demonstrate that sleep metrics estimated from automatic sleep scoring based on repeated ear-EEG in some cases are more reliably estimated with repeated nights of automatically scored ear-EEG than with a single night of manually scored PSG. Thus, given the obtrusiveness and cost of PSG, ear-EEG seems to be a useful alternative for sleep staging for the single night recording and an advantageous choice for several nights of sleep monitoring. Public Library of Science 2022-10-27 /pmc/articles/PMC9931275/ /pubmed/36812563 http://dx.doi.org/10.1371/journal.pdig.0000134 Text en © 2022 Kjaer et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Kjaer, Troels Wesenberg Rank, Mike Lind Hemmsen, Martin Christian Kidmose, Preben Mikkelsen, Kaare Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography |
title | Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography |
title_full | Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography |
title_fullStr | Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography |
title_full_unstemmed | Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography |
title_short | Repeated automatic sleep scoring based on ear-EEG is a valuable alternative to manually scored polysomnography |
title_sort | repeated automatic sleep scoring based on ear-eeg is a valuable alternative to manually scored polysomnography |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9931275/ https://www.ncbi.nlm.nih.gov/pubmed/36812563 http://dx.doi.org/10.1371/journal.pdig.0000134 |
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