Reference health
The mobile sleep lab app: An open-source framework for mobile sleep assessment based on consumer-grade wearable devices
26/26 checkable references clean · checked 2026-07-22
Every reference with a DOI in the deposited reference list resolved to a known work in Crossref or DataCite at the dated check, and none carried a retraction, withdrawal, or removal notice.
17 without a DOI — not checked. A reference deposited without a DOI is never matched by title or guessed at; it stays outside the checked set, and this line discloses that.
The 26 checked references that resolve
resolves10.1016/j.adolescence.2014.04.007
Prevalence of sleep disorders by sex and ethnicity among older adolescents and emerging adults: Relations to daytime functioning, working memory and mental health<sup>☆</sup>
resolves10.1136/bmj.306.6892.1604
ABC of sleep disorders. Impact and epidemiology of sleep disorders.
resolves10.1080/07448481.2010.483708
The Prevalence of Sleep Disorders in College Students: Impact on Academic Performance
resolves10.5664/jcsm.27032
Clinical Guidelines for the Use of Unattended Portable Monitors in the Diagnosis of Obstructive Sleep Apnea in Adult Patients
resolves10.1089/big.2012.0002
The Quantified Self: Fundamental Disruption in Big Data Science and Biological Discovery
resolves10.5665/sleep.6108
The Boom in Wearable Technology: Cause for Alarm or Just What is Needed to Better Understand Sleep?
resolves10.1249/MSS.0000000000000778
Twenty-four Hours of Sleep, Sedentary Behavior, and Physical Activity with Nine Wearable Devices
resolves10.1109/JBHI.2014.2307913
SleepAp: An Automated Obstructive Sleep Apnoea Screening Application for Smartphones
resolves10.1109/TBME.2009.2038487
A Wearable Sensor for Unobtrusive, Long-Term Assessment of Electrodermal Activity
resolves10.1007/s12668-013-0089-2
Towards Measuring Stress with Smartphones and Wearable Devices During Workday and Sleep
resolves10.1007/s13142-015-0359-3
BeWell24: development and process evaluation of a smartphone “app” to improve sleep, sedentary, and active behaviors in US Veterans with increased metabolic risk
resolves10.5664/jcsm.3880
The AASM Recommended and Acceptable EEG Montages are Comparable for the Staging of Sleep and Scoring of EEG Arousals
resolves10.1371/journal.pone.0086733
The Smartphone Brain Scanner: A Portable Real-Time Neuroimaging System
resolves10.1111/j.1469-8986.2012.01471.x
How about taking a low‐cost, small, and wireless <scp>EEG</scp> for a walk?
resolves10.7717/peerj.38
Validation of the Emotiv EPOC
<sup>®</sup>
EEG gaming system for measuring research quality auditory ERPs
resolves10.1016/j.jneumeth.2003.10.009
EEGLAB: an open source toolbox for analysis of single-trial EEG dynamics including independent component analysis
resolves10.2196/jmir.6821
Scalable Passive Sleep Monitoring Using Mobile Phones: Opportunities and Obstacles
resolves10.1007/s11325-016-1425-x
Accuracy of a smartphone application in estimating sleep in children
The 17 references without a DOI — listed, not checked
no DOI — not checked10.1016/j.compbiomed.2018.09.025_bib1
no DOI — not checked10.1016/j.compbiomed.2018.09.025_bib7
no DOI — not checkedPolysomnography and sleep disorders
no DOI — not checkedDiagnostic accuracy of a portable sleep apnea screener against standard polysomnography in patients referred to a sleep laboratory
no DOI — not checked10.1016/j.compbiomed.2018.09.025_bib12
no DOI — not checkedIs there a clinical role for smartphone sleep apps? Comparison of sleep cycle detection by a smartphone application to polysomnography
no DOI — not checkedContactless sleep apnea detection on smartphones
no DOI — not checkedPoster: hearing your breathing: fine-grained sleep monitoring using smartphones
no DOI — not checkedMonitoring sound to quantify snoring and sleep apnea severity using a smartphone: proof of concept
no DOI — not checked10.1016/j.compbiomed.2018.09.025_bib24
no DOI — not checked10.1016/j.compbiomed.2018.09.025_bib27
no DOI — not checked10.1016/j.compbiomed.2018.09.025_bib28
no DOI — not checked10.1016/j.compbiomed.2018.09.025_bib35
no DOI — not checkediSleep: unobtrusive sleep quality monitoring using smartphones
no DOI — not checkedSomnography using unobtrusive motion sensors and Android-based mobile phones
no DOI — not checkedIntelligent sleep stage mining service with smartphones
no DOI — not checkedToss'n’turn: smartphone as sleep and sleep quality detector
What this badge says. CiteStamped means the CHECKABLE references of this
work were clean at the dated check: each resolved to a known work in a public registry, and none
carried a retraction notice at that time. It says nothing about the quality, findings,
or importance of the work itself, and nothing about references deposited without a DOI.
checked 2026-07-22 — re-checked daily as this page is visited; titles and statuses come from Crossref and DataCite and are not part of the signed record
Embed this badge
Both snippets point at the live badge image and link back to this page. The badge re-renders from the daily check, so an embed never goes stale by more than a day of visits.
<a href="https://citestamp.com/citestamped/10.1016/j.compbiomed.2018.09.025"><img src="https://citestamp.com/citestamped/10.1016/j.compbiomed.2018.09.025/badge.svg" alt="CiteStamped reference-health badge" width="460" height="64"></a>
[](https://citestamp.com/citestamped/10.1016/j.compbiomed.2018.09.025)