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Overview of smartphone applications for sleep analysis
OBJECTIVE: To review and assess the current selection of sleep analysis smartphone applications (apps) available for download. METHODS: The iOS and Google Play mobile app store were searched for sleep analysis apps targeted for consumer use. Alarm clock, sleep-aid, snoring and sleep-talking recorder...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
KeAi Publishing
2016
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5698521/ https://www.ncbi.nlm.nih.gov/pubmed/29204548 http://dx.doi.org/10.1016/j.wjorl.2016.02.001 |
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author | Ong, Adrian A. Gillespie, M. Boyd |
author_facet | Ong, Adrian A. Gillespie, M. Boyd |
author_sort | Ong, Adrian A. |
collection | PubMed |
description | OBJECTIVE: To review and assess the current selection of sleep analysis smartphone applications (apps) available for download. METHODS: The iOS and Google Play mobile app store were searched for sleep analysis apps targeted for consumer use. Alarm clock, sleep-aid, snoring and sleep-talking recorder, fitness tracker apps, and apps geared towards health professionals were excluded. App information and features were obtained from in-store descriptions, and the app developer website. RESULTS: A total of 51 unique sleep apps in both iOS and Google Play stores were included. The apps were rated 3.8/5 in both stores, and had an average price of $1.12 in the iOS store and $0.58 in the Google Play store. >65% of sleep apps report on sleep structure, including duration, time awake, and time in light/deep sleep, while reporting of REM was limited. The availability of extra features was variable, ranging from 4% to 73% of apps. CONCLUSIONS: There are a variety of sleep analysis apps with a range of functionality. The apps with the most reviews from the each store are featured. Many apps provide data on sleep structure; however the algorithms are not validated by scientific literature or studies. Since patients may inquire about their sleep habits from these apps, it is necessary for physicians to be aware of the most common apps and the features offered and their limitations in order to properly counsel patients. |
format | Online Article Text |
id | pubmed-5698521 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2016 |
publisher | KeAi Publishing |
record_format | MEDLINE/PubMed |
spelling | pubmed-56985212017-12-04 Overview of smartphone applications for sleep analysis Ong, Adrian A. Gillespie, M. Boyd World J Otorhinolaryngol Head Neck Surg Review Article OBJECTIVE: To review and assess the current selection of sleep analysis smartphone applications (apps) available for download. METHODS: The iOS and Google Play mobile app store were searched for sleep analysis apps targeted for consumer use. Alarm clock, sleep-aid, snoring and sleep-talking recorder, fitness tracker apps, and apps geared towards health professionals were excluded. App information and features were obtained from in-store descriptions, and the app developer website. RESULTS: A total of 51 unique sleep apps in both iOS and Google Play stores were included. The apps were rated 3.8/5 in both stores, and had an average price of $1.12 in the iOS store and $0.58 in the Google Play store. >65% of sleep apps report on sleep structure, including duration, time awake, and time in light/deep sleep, while reporting of REM was limited. The availability of extra features was variable, ranging from 4% to 73% of apps. CONCLUSIONS: There are a variety of sleep analysis apps with a range of functionality. The apps with the most reviews from the each store are featured. Many apps provide data on sleep structure; however the algorithms are not validated by scientific literature or studies. Since patients may inquire about their sleep habits from these apps, it is necessary for physicians to be aware of the most common apps and the features offered and their limitations in order to properly counsel patients. KeAi Publishing 2016-03-05 /pmc/articles/PMC5698521/ /pubmed/29204548 http://dx.doi.org/10.1016/j.wjorl.2016.02.001 Text en © 2016 Chinese Medical Association http://creativecommons.org/licenses/by-nc-nd/4.0/ This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Review Article Ong, Adrian A. Gillespie, M. Boyd Overview of smartphone applications for sleep analysis |
title | Overview of smartphone applications for sleep analysis |
title_full | Overview of smartphone applications for sleep analysis |
title_fullStr | Overview of smartphone applications for sleep analysis |
title_full_unstemmed | Overview of smartphone applications for sleep analysis |
title_short | Overview of smartphone applications for sleep analysis |
title_sort | overview of smartphone applications for sleep analysis |
topic | Review Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5698521/ https://www.ncbi.nlm.nih.gov/pubmed/29204548 http://dx.doi.org/10.1016/j.wjorl.2016.02.001 |
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