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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...

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Detalles Bibliográficos
Autores principales: Ong, Adrian A., Gillespie, M. Boyd
Formato: Online Artículo Texto
Lenguaje:English
Publicado: KeAi Publishing 2016
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.
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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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