The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
Automatic Analysis of Single-Channel Sleep EEG: Validation in Healthy Individuals
Open accessAbstract
STUDY OBJECTIVE: To assess the performance of automatic sleep scoring software (ASEEGA) based on a single EEG channel comparatively with manual scoring (2 experts) of conventional full polysomnograms. DESIGN: Polysomnograms from 15 healthy individuals were scored by 2 independent experts using conventional R&K rules. The results were compared to those of ASEEGA scoring on an epoch-by-epoch basis. SETTING: Sleep laboratory in the physiology department of a teaching hospital. PARTICIPANTS: Fifteen healthy volunteers. MEASUREMENTS AND RESULTS: The epoch-by-epoch comparison was based on classifying into 2 states (wake/sleep), 3 states (wake/REM/ NREM), 4 states (wake/REM/stages 1-2/SWS), or 5 states (wake/REM/ stage 1/stage 2/SWS). The obtained overall agreements, as quantified by the kappa coefficient, were 0.82, 0.81, 0.75, and 0.72, respectively. Furthermore, obtained agreements between ASEEGA and the expert consensual scoring were 96.0%, 92.1%, 84.9%, and 82.9%, respectively. Finally, when classifying into 5 states, the sensitivity and positive predictive value of ASEEGA regarding wakefulness were 82.5% and 89.7%, respectively. Similarly, sensitivity and positive predictive value regarding REM state were 83.0% and 89.1%. CONCLUSIONS: Our results establish the face validity and convergent validity of ASEEGA for single-channel sleep analysis in healthy individuals. ASEEGA appears as a good candidate for diagnostic aid and automatic ambulant scoring.
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
The Measurement of Observer Agreement for Categorical Data
Landis, J. R., & Koch, G. G. (1977) · Biometrics · doi:10.2307/2529310 · Cited by 81,148
STATISTICAL METHODS FOR ASSESSING AGREEMENT BETWEEN TWO METHODS OF CLINICAL MEASUREMENT
Martin Bland, J., & Altman, D. (1986) · The Lancet · doi:10.1016/s0140-6736(86)90837-8 · Cited by 47,965
A Coefficient of Agreement for Nominal Scales
Cohen, J. (1960) · Educational and Psychological Measurement · doi:10.1177/001316446002000104 · Cited by 42,398
Rechtschaffen, A. (1968) · Medical Entomology and Zoology · Cited by 11,772
Large sample standard errors of kappa and weighted kappa.
Fleiss, J. L., Cohen, J., & Everitt, B. S. (1969) · Psychological Bulletin · doi:10.1037/h0028106 · Cited by 1,520
The Sleep Heart Health Study: Design, Rationale, and Methods
(1997) · Sleep · doi:10.1093/sleep/20.12.1077 · Cited by 1,331
Reliability of Scoring Respiratory Disturbance Indices and Sleep Staging
Whitney, C. W., Gottlieb, D. J., Redline, S., Norman, R. G., Dodge, R. R., Shahar, E., Surovec, S., & Nieto, F. J. (1998) · Sleep · doi:10.1093/sleep/21.7.749 · Cited by 327
All‐night dynamics of the human sleep EEG
AESCHBACH, D., & BORBÉLY, A. A. (1993) · Journal of Sleep Research · doi:10.1111/j.1365-2869.1993.tb00065.x · Cited by 299
Anderer, P., Gruber, G., Parapatics, S., Woertz, M., Miazhynskaia, T., Klösch, G., Saletu, B., Zeitlhofer, J., Barbanoj, M. J., Danker-Hopfe, H., et al. (2005) · Neuropsychobiology · doi:10.1159/000085205 · Cited by 284
Interobserver Agreement Among Sleep Scorers From Different Centers in a Large Dataset
Norman, R. G., Pal, I., Stewart, C., Walsleben, J. A., & Rapoport, D. M. (2000) · Sleep · doi:10.1093/sleep/23.7.1e · Cited by 246
Cited by
VAN DE WATER, A. T. M., HOLMES, A., & HURLEY, D. A. (2011) · Journal of Sleep Research · doi:10.1111/j.1365-2869.2009.00814.x · Cited by 447
Zhu, G., Li, Y., & Wen, P. (2014) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2014.2303991 · Cited by 384
O'Reilly, C., Gosselin, N., Carrier, J., & Nielsen, T. (2014) · Journal of Sleep Research · doi:10.1111/jsr.12169 · Cited by 356
Lajnef, T., Chaibi, S., Ruby, P., Aguera, P.-E., Eichenlaub, J.-B., Samet, M., Kachouri, A., & Jerbi, K. (2015) · Journal of Neuroscience Methods · doi:10.1016/j.jneumeth.2015.01.022 · Cited by 318
A comparative review on sleep stage classification methods in patients and healthy individuals
Boostani, R., Karimzadeh, F., & Nami, M. (2017) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2016.12.004 · Cited by 316
Metadata
- Authors
- Berthomier, C., Drouot, X., Herman-Stoïca, M., Berthomier, P., Prado, J., Bokar-Thire, D., Benoit, O., Mattout, J., & d'Ortho, M.-P.
- Venue
- Sleep
- Publisher
- Oxford University Press (OUP)
- Published
- 2007-11
- Volume
- 30
- Issue
- 11
- Pages
- 1587-1595
- ISSN
- 0161-8105 (ISSN-L)
- 1550-9109
- OpenAlex
- W2135280991
- Cited by
- 294
- References
- 31
- FWCI
- 2.01
- Type
- journal article
- Language
- en
- Open access
- green
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: Automatic Analysis of Single-Channel Sleep EEG: Validation in Healthy Individuals. https://app.cochat.ai/papers/10.1093/sleep/30.11.1587
- The paper
- Berthomier, C., Drouot, X., Herman-Stoïca, M., Berthomier, P., Prado, J., Bokar-Thire, D., Benoit, O., Mattout, J., & d'Ortho, M.-P. (2007). Automatic Analysis of Single-Channel Sleep EEG: Validation in Healthy Individuals. Sleep. https://doi.org/10.1093/sleep/30.11.1587
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.