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Assessment of a wireless headband for automatic sleep scoring
PURPOSE: Classically, professional assessment of sleep is done in the sleep laboratory using whole-night polysomnography (PSG). However, given a misbalance between accredited sleep laboratories and the large amount of patients suffering from sleep disorders, only few receive appropriate diagnostic a...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Springer-Verlag
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655221/ https://www.ncbi.nlm.nih.gov/pubmed/22996794 http://dx.doi.org/10.1007/s11325-012-0757-4 |
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author | Griessenberger, H. Heib, D. P. J. Kunz, A. B. Hoedlmoser, K. Schabus, M. |
author_facet | Griessenberger, H. Heib, D. P. J. Kunz, A. B. Hoedlmoser, K. Schabus, M. |
author_sort | Griessenberger, H. |
collection | PubMed |
description | PURPOSE: Classically, professional assessment of sleep is done in the sleep laboratory using whole-night polysomnography (PSG). However, given a misbalance between accredited sleep laboratories and the large amount of patients suffering from sleep disorders, only few receive appropriate diagnostic assessment. Recently, some low-cost home sleep scoring systems have been proposed, yet such systems are rarely tested scientifically. The aim of the present study was to evaluate the staging accuracy of the home sleep scoring system Zeo (Newton, MA, USA). METHODS: A final sample of 21 nights from ten subjects (aged 23–45) was digitally recorded with PSG as well as with the Zeo system. We compared scorings of Zeo (on an epoch-be-epoch basis) with the Somnolyzer 24 × 7 (an automatic staging algorithm), expert scorers as well as the freeware SleepExplorer. RESULTS: It was revealed that Zeo shows moderate overall agreement as compared to our study standard Somnolyzer 24 × 7 (κ = 0.56). The most obvious performance difference between Zeo and both other scoring approaches was stage wake (sleep onset latency + wake after sleep onset). While Zeo detected only 40.8 % of the study standard wake epochs, 70.1 % were detected by the expert scorers and 83.4 % by the SleepExplorer, respectively. CONCLUSIONS: Data suggest that the Zeo system produces acceptable sleep scoring for stage REM, light and deep sleep, with a specific weakness in correctly detecting waking periods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11325-012-0757-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-3655221 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Springer-Verlag |
record_format | MEDLINE/PubMed |
spelling | pubmed-36552212013-05-16 Assessment of a wireless headband for automatic sleep scoring Griessenberger, H. Heib, D. P. J. Kunz, A. B. Hoedlmoser, K. Schabus, M. Sleep Breath Original Article PURPOSE: Classically, professional assessment of sleep is done in the sleep laboratory using whole-night polysomnography (PSG). However, given a misbalance between accredited sleep laboratories and the large amount of patients suffering from sleep disorders, only few receive appropriate diagnostic assessment. Recently, some low-cost home sleep scoring systems have been proposed, yet such systems are rarely tested scientifically. The aim of the present study was to evaluate the staging accuracy of the home sleep scoring system Zeo (Newton, MA, USA). METHODS: A final sample of 21 nights from ten subjects (aged 23–45) was digitally recorded with PSG as well as with the Zeo system. We compared scorings of Zeo (on an epoch-be-epoch basis) with the Somnolyzer 24 × 7 (an automatic staging algorithm), expert scorers as well as the freeware SleepExplorer. RESULTS: It was revealed that Zeo shows moderate overall agreement as compared to our study standard Somnolyzer 24 × 7 (κ = 0.56). The most obvious performance difference between Zeo and both other scoring approaches was stage wake (sleep onset latency + wake after sleep onset). While Zeo detected only 40.8 % of the study standard wake epochs, 70.1 % were detected by the expert scorers and 83.4 % by the SleepExplorer, respectively. CONCLUSIONS: Data suggest that the Zeo system produces acceptable sleep scoring for stage REM, light and deep sleep, with a specific weakness in correctly detecting waking periods. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11325-012-0757-4) contains supplementary material, which is available to authorized users. Springer-Verlag 2012-09-21 2013 /pmc/articles/PMC3655221/ /pubmed/22996794 http://dx.doi.org/10.1007/s11325-012-0757-4 Text en © The Author(s) 2012 https://creativecommons.org/licenses/by/4.0/ This article is distributed under the terms of the Creative Commons Attribution License which permits any use, distribution, and reproduction in any medium, provided the original author(s) and the source are credited. |
spellingShingle | Original Article Griessenberger, H. Heib, D. P. J. Kunz, A. B. Hoedlmoser, K. Schabus, M. Assessment of a wireless headband for automatic sleep scoring |
title | Assessment of a wireless headband for automatic sleep scoring |
title_full | Assessment of a wireless headband for automatic sleep scoring |
title_fullStr | Assessment of a wireless headband for automatic sleep scoring |
title_full_unstemmed | Assessment of a wireless headband for automatic sleep scoring |
title_short | Assessment of a wireless headband for automatic sleep scoring |
title_sort | assessment of a wireless headband for automatic sleep scoring |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3655221/ https://www.ncbi.nlm.nih.gov/pubmed/22996794 http://dx.doi.org/10.1007/s11325-012-0757-4 |
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