The DOI matches its Crossref record.
Automatic recognition of epileptic seizures in the EEG
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
Cited by
(2004) · Dictionary of Strategy: Strategic Management A-Z · doi:10.4135/9781452229805.n17 · Cited by 938
An automated system for epilepsy detection using EEG brain signals based on deep learning approach
Ullah, I., Hussain, M., Qazi, E.-U.-H., & Aboalsamh, H. (2018) · Expert Systems with Applications · doi:10.1016/j.eswa.2018.04.021 · Cited by 622
Classification of EEG signals using neural network and logistic regression
Subasi, A., & Erçelebi, E. (2005) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2004.10.009 · Cited by 573
The temple university hospital EEG data corpus
Obeid, I., & Picone, J. (2016) · Frontiers in Neuroscience · doi:10.3389/fnins.2016.00196 · Cited by 528
Automatic Seizure Detection Based on Time-Frequency Analysis and Artificial Neural Networks
Tzallas, A. T., Tsipouras, M. G., & Fotiadis, D. I. (2007) · Computational Intelligence and Neuroscience · doi:10.1155/2007/80510 · Cited by 473
Metadata
- Authors
- Gotman, J.
- Venue
- Electroencephalography and Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 1982-11
- Volume
- 54
- Issue
- 5
- Pages
- 530-540
- ISSN
- 0013-4694 (ISSN-L)
- OpenAlex
- W1974991504
- Cited by
- 674
- References
- 0
- FWCI
- 1.81
- 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: Automatic recognition of epileptic seizures in the EEG. https://app.cochat.ai/papers/10.1016/0013-4694(82)90038-4
- The paper
- Gotman, J. (1982). Automatic recognition of epileptic seizures in the EEG. Electroencephalography and Clinical Neurophysiology. https://doi.org/10.1016/0013-4694(82)90038-4
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.