Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Kjaer, Troels Wesenberg, Rank, Mike Lind, Hemmsen, Martin Christian, Kidmose, Preben, Mikkelsen, Kaare
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2022
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
_version_ 1784889213518348288
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
work_keys_str_mv AT kjaertroelswesenberg repeatedautomaticsleepscoringbasedoneareegisavaluablealternativetomanuallyscoredpolysomnography
AT rankmikelind repeatedautomaticsleepscoringbasedoneareegisavaluablealternativetomanuallyscoredpolysomnography
AT hemmsenmartinchristian repeatedautomaticsleepscoringbasedoneareegisavaluablealternativetomanuallyscoredpolysomnography
AT kidmosepreben repeatedautomaticsleepscoringbasedoneareegisavaluablealternativetomanuallyscoredpolysomnography
AT mikkelsenkaare repeatedautomaticsleepscoringbasedoneareegisavaluablealternativetomanuallyscoredpolysomnography