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About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep
Commercial sleep devices and mobile-phone applications for scoring sleep are gaining ground. In order to provide reliable information about the quantity and/or quality of sleep, their performance needs to be assessed against the current gold standard, i.e., polysomnography (PSG; measuring brain, eye...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806072/ https://www.ncbi.nlm.nih.gov/pubmed/31557952 http://dx.doi.org/10.3390/s19194160 |
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author | Ameen, Mohamed S. Cheung, Lok Man Hauser, Theresa Hahn, Michael A. Schabus, Manuel |
author_facet | Ameen, Mohamed S. Cheung, Lok Man Hauser, Theresa Hahn, Michael A. Schabus, Manuel |
author_sort | Ameen, Mohamed S. |
collection | PubMed |
description | Commercial sleep devices and mobile-phone applications for scoring sleep are gaining ground. In order to provide reliable information about the quantity and/or quality of sleep, their performance needs to be assessed against the current gold standard, i.e., polysomnography (PSG; measuring brain, eye, and muscle activity). Here, we assessed some commercially available sleep trackers, namely an activity tracker; Mi band (Xiaomi, Beijing, China), a scientific actigraph: Motionwatch 8 (CamNTech, Cambridge, UK), and a much-used mobile phone application: Sleep Cycle (Northcube, Gothenburg, Sweden). We recorded 27 nights in healthy sleepers using PSG and these devices and compared the results. Surprisingly, all devices had poor agreement with the PSG gold standard. Sleep parameter comparisons revealed that, specifically, the Mi band and the Sleep Cycle application had difficulties in detecting wake periods which negatively affected their total sleep time and sleep-efficiency estimations. However, all 3 devices were good in detecting the most basic parameter, the actual time in bed. In summary, our results suggest that, to date, the available sleep trackers do not provide meaningful sleep analysis but may be interesting for simply tracking time in bed. A much closer interaction with the scientific field seems necessary if reliable information shall be derived from such devices in the future. |
format | Online Article Text |
id | pubmed-6806072 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68060722019-11-07 About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep Ameen, Mohamed S. Cheung, Lok Man Hauser, Theresa Hahn, Michael A. Schabus, Manuel Sensors (Basel) Article Commercial sleep devices and mobile-phone applications for scoring sleep are gaining ground. In order to provide reliable information about the quantity and/or quality of sleep, their performance needs to be assessed against the current gold standard, i.e., polysomnography (PSG; measuring brain, eye, and muscle activity). Here, we assessed some commercially available sleep trackers, namely an activity tracker; Mi band (Xiaomi, Beijing, China), a scientific actigraph: Motionwatch 8 (CamNTech, Cambridge, UK), and a much-used mobile phone application: Sleep Cycle (Northcube, Gothenburg, Sweden). We recorded 27 nights in healthy sleepers using PSG and these devices and compared the results. Surprisingly, all devices had poor agreement with the PSG gold standard. Sleep parameter comparisons revealed that, specifically, the Mi band and the Sleep Cycle application had difficulties in detecting wake periods which negatively affected their total sleep time and sleep-efficiency estimations. However, all 3 devices were good in detecting the most basic parameter, the actual time in bed. In summary, our results suggest that, to date, the available sleep trackers do not provide meaningful sleep analysis but may be interesting for simply tracking time in bed. A much closer interaction with the scientific field seems necessary if reliable information shall be derived from such devices in the future. MDPI 2019-09-25 /pmc/articles/PMC6806072/ /pubmed/31557952 http://dx.doi.org/10.3390/s19194160 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Ameen, Mohamed S. Cheung, Lok Man Hauser, Theresa Hahn, Michael A. Schabus, Manuel About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep |
title | About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep |
title_full | About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep |
title_fullStr | About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep |
title_full_unstemmed | About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep |
title_short | About the Accuracy and Problems of Consumer Devices in the Assessment of Sleep |
title_sort | about the accuracy and problems of consumer devices in the assessment of sleep |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6806072/ https://www.ncbi.nlm.nih.gov/pubmed/31557952 http://dx.doi.org/10.3390/s19194160 |
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