The DOI matches its Crossref record; 64 of the 64 references it cites were found in a registry or an index.
Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
Benjamini, Y., & Hochberg, Y. (1995) · Journal of the Royal Statistical Society Series B: Statistical Methodology · doi:10.1111/j.2517-6161.1995.tb02031.x · Cited by 109,482
A Mathematical Theory of Communication
Shannon, C. E. (1948) · Bell System Technical Journal · doi:10.1002/j.1538-7305.1948.tb01338.x · Cited by 88,486
Delorme, A., & Makeig, S. (2004) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2003.10.009 · Cited by 24,371
Detecting strange attractors in turbulence
Takens, F. (1981) · Lecture Notes in Mathematics · doi:10.1007/bfb0091924 · Cited by 10,459
Approximate entropy as a measure of system complexity.
Pincus, S. M. (1991) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.88.6.2297 · Cited by 5,811
Mathematical Methods for Physicists
Arfken, G., & Mathews, J. (1972) · American Journal of Physics · doi:10.1119/1.1988084 · Cited by 4,038
Measuring phase synchrony in brain signals
Lachaux, J.-P., Rodriguez, E., Martinerie, J., & Varela, F. J. (1999) · Human Brain Mapping · doi:10.1002/(sici)1097-0193(1999)8:4<194::aid-hbm4>3.0.co;2-c · Cited by 3,798
Removing electroencephalographic artifacts by blind source separation
Jung, T., Makeig, S., Humphries, C., Lee, T.-W., McKeown, M. J., Iragui, V. J., & Sejnowski, T. J. (2000) · Psychophysiology · doi:10.1017/s0048577200980259 · Cited by 3,334
Dynamical Systems and Turbulence
Takens, F. (1981) · Medical Entomology and Zoology · Cited by 2,142
Entropy and Information Theory
Gray, R. M. (2011) · Springer eBooks · doi:10.1007/978-1-4419-7970-4 · Cited by 1,803
Cited by
Blinks and saccades as indicators of fatigue in sleepiness warnings: looking tired?
Schleicher, R., Galley, N., Briest, S., & Galley, L. (2008) · Ergonomics · doi:10.1080/00140130701817062 · Cited by 476
Houssein, E. H., Hammad, A., & Ali, A. A. (2022) · Neural Computing and Applications · doi:10.1007/s00521-022-07292-4 · Cited by 426
A multimodal approach to estimating vigilance using EEG and forehead EOG
Zheng, W.-L., & Lu, B.-L. (2017) · Journal of Neural Engineering · doi:10.1088/1741-2552/aa5a98 · Cited by 424
“Papadelis et al. designed an on-board system to assess a driver’s alertness level in real driving conditions (Papadelis et al. 2007).”
BackgroundThe Berlin Brain–Computer Interface: Non-Medical Uses of BCI Technology
Blankertz, B., Tangermann, M., Vidaurre, C., Fazli, S., Sannelli, C., Haufe, S., Maeder, C., Ramsey, L., Sturm, I., Curio, G., et al. (2010) · Frontiers in Neuroscience · doi:10.3389/fnins.2010.00198 · Cited by 357
Awais, M., Badruddin, N., & Drieberg, M. (2017) · Sensors · doi:10.3390/s17091991 · Cited by 285
Metadata
- Authors
- Papadelis, C., Chen, Z., Kourtidou-Papadeli, C., Bamidis, P. D., Chouvarda, I., Bekiaris, E., & Maglaveras, N.
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2007-09
- Volume
- 118
- Issue
- 9
- Pages
- 1906-1922
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2049712033
- Cited by
- 268
- References
- 64
- FWCI
- 15.02
- Type
- journal article
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents. https://app.cochat.ai/papers/10.1016/j.clinph.2007.04.031
- The paper
- Papadelis, C., Chen, Z., Kourtidou-Papadeli, C., Bamidis, P. D., Chouvarda, I., Bekiaris, E., & Maglaveras, N. (2007). Monitoring sleepiness with on-board electrophysiological recordings for preventing sleep-deprived traffic accidents. Clinical Neurophysiology. https://doi.org/10.1016/j.clinph.2007.04.031
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
