Reference health

A Real-Time Wireless Brain–Computer Interface System for Drowsiness Detection

https://doi.org/10.1109/tbcas.2010.2046415
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28/28 checkable references clean · checked 2026-07-23

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.

5 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 28 checked references that resolve
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Real-time drowsiness detection system for an intelligent vehicle
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A method for assessing alertness fluctuations from EEG spectra
resolves10.1049/ip-smt:20000844
Automated assessment of vigilance usingcommittees of radial basis function analysers
resolves10.1016/j.ergon.2004.09.006
Electroencephalographic study of drowsiness in simulated driving with sleep deprivation
resolves10.1016/0013-4694(93)90064-3
Lapse in alertness: coherence of fluctuations in performance and EEG spectrum
resolves10.1097/00001756-199512000-00051
Changes in alertness are a principal component of variance in the EEG spectrum
resolves10.1016/S0167-8760(00)00079-9
Changes in EEG alpha power during simulated driving: a demonstration
resolves10.1136/bmj.324.7346.1125
Driver sleepiness and risk of serious injury to car occupants: population based case control study
resolves10.1037/h0087346
Awareness during drowsiness: Dynamics and electrophysiological correlates.
resolves10.1111/j.1365-2869.1997.00238.x
Sleepiness and driving: the experience of heavy goods vehicle drivers in the UK
resolves10.1109/TBME.2006.873760
A TinyOS-Enabled MICA2-Based Wireless Neural Interface
resolves10.1080/001401302/1000039556
Criteria for driver impairment
resolves10.1109/3468.784175
Identification of driver state for lane-keeping tasks
resolves10.1111/j.1365-2869.1996.00229.x
Sleepiness and driving: the experience of UK car drivers
resolves10.1109/TVT.2004.830974
Real-Time Nonintrusive Monitoring and Prediction of Driver Fatigue
resolves10.1136/bmj.310.6979.565
Sleep related vehicle accidents
resolves10.1109/10.553713
Estimating alertness from the EEG power spectrum
resolves10.1109/TSMCA.2008.2001067
A Partial Least Squares Regression-Based Fusion Model for Predicting the Trend in Drowsiness
resolves10.1109/TCSI.2005.857555
EEG-based drowsiness estimation for safety driving using independent component analysis
resolves10.1109/TNSRE.2003.814449
A BCI-based environmental controller for the motion-disabled
resolves10.1155/2008/519480
EEG-Based Subject- and Session-independent Drowsiness Detection: An Unsupervised Approach
resolves10.1016/S0165-0173(98)00056-3
EEG alpha and theta oscillations reflect cognitive and memory performance: a review and analysis
resolves10.1016/j.jneumeth.2003.09.023
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The 5 references without a DOI — listed, not checked
no DOI — not checkedref33
no DOI — not checkeddesigning a brain-computer interface device for neurofeedback using virtual environments
no DOI — not checkedevaluation of a smart algorithm for commercial vehicle driver drowsiness detection
no DOI — not checkedtraffic safety facts 2001: a compilation of motor vehicle crash data from the fatality analysis reporting system and the general estimates system
no DOI — not checkedsleep facts and stats
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.

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