The DOI matches its Crossref record; 4 of the 4 references it cites were found in a registry or an index.
A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms
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Cortes, C., & Vapnik, V. (1995) · Machine Learning · doi:10.1007/bf00994018 · Cited by 59,421
Goldberger, A. L., Amaral, L. A. N., Glass, L., Hausdorff, J. M., Ivanov, P. C., Mark, R. G., Mietus, J. E., Moody, G. B., Peng, C.-K., & Stanley, H. E. (2000) · Circulation · doi:10.1161/01.cir.101.23.e215 · Cited by 14,809
Heart rate variability: A review
Rajendra Acharya, U., Paul Joseph, K., Kannathal, N., Lim, C. M., & Suri, J. S. (2006) · Medical & Biological Engineering & Computing · doi:10.1007/s11517-006-0119-0 · Cited by 2,820
Artificial neural network based epileptic detection using time-domain and frequency-domain features
Srinivasan, V., Eswaran, C., & Sriraam, A. N. (2005) · Journal of Medical Systems · doi:10.1007/s10916-005-6133-1 · Cited by 417
Cited by
Sleep Stage Classification Using EEG Signal Analysis: A Comprehensive Survey and New Investigation
Aboalayon, K., Faezipour, M., Almuhammadi, W., & Moslehpour, S. (2016) · Entropy · doi:10.3390/e18090272 · Cited by 382
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
Automated sleep scoring: A review of the latest approaches
Fiorillo, L., Puiatti, A., Papandrea, M., Ratti, P.-L., Favaro, P., Roth, C., Bargiotas, P., Bassetti, C. L., & Faraci, F. D. (2019) · Sleep Medicine Reviews · doi:10.1016/j.smrv.2019.07.007 · Cited by 284
Sleep apnea: a review of diagnostic sensors, algorithms, and therapies
Shokoueinejad, M., Fernandez, C., Carroll, E., Wang, F., Levin, J., Rusk, S., Glattard, N., Mulchrone, A., Zhang, X., Xie, A., et al. (2017) · Physiological Measurement · doi:10.1088/1361-6579/aa6ec6 · Cited by 64
Automated EEG sleep staging in the term-age baby using a generative modelling approach
Pillay, K., Dereymaeker, A., Jansen, K., Naulaers, G., Van Huffel, S., & De Vos, M. (2018) · Journal of Neural Engineering · doi:10.1088/1741-2552/aaab73 · Cited by 61
Metadata
- Authors
- Şen, B., Peker, M., Çavuşoğlu, A., & Çelebi, F. V.
- Venue
- Journal of Medical Systems
- Published
- 2014-03
- Volume
- 38
- Issue
- 3
- Pages
- 18-18
- ISSN
- 0148-5598 (ISSN-L)
- 1573-689X
- OpenAlex
- W1978347377
- Cited by
- 282
- References
- 4
- FWCI
- 11.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms. https://app.cochat.ai/papers/10.1007/s10916-014-0018-0
- The paper
- Şen, B., Peker, M., Çavuşoğlu, A., & Çelebi, F. V. (2014). A Comparative Study on Classification of Sleep Stage Based on EEG Signals Using Feature Selection and Classification Algorithms. Journal of Medical Systems. https://doi.org/10.1007/s10916-014-0018-0
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.
