The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks
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Citations
Cites
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
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
Samiee, K., Kovacs, P., & Gabbouj, M. (2015) · IEEE Transactions on Biomedical Engineering · doi:10.1109/tbme.2014.2360101 · Cited by 411
Sharma, R., Pachori, R., & Acharya, U. (2015) · Entropy · doi:10.3390/e17020669 · Cited by 305
1D-local binary pattern based feature extraction for classification of epileptic EEG signals
Kaya, Y., Uyar, M., Tekin, R., & Yıldırım, S. (2014) · Applied Mathematics and Computation · doi:10.1016/j.amc.2014.05.128 · Cited by 279
Artificial Intelligence Techniques for Automated Diagnosis of Neurological Disorders
Raghavendra, U., Acharya, U. R., & Adeli, H. (2019) · European Neurology · doi:10.1159/000504292 · Cited by 174
(2012) · DergiPark (Istanbul University) · Cited by 5
Metadata
- Authors
- Guo, L., Rivero, D., & Pazos, A.
- Venue
- Journal of Neuroscience Methods
- Publisher
- Elsevier BV
- Published
- 2010-10
- Volume
- 193
- Issue
- 1
- Pages
- 156-163
- ISSN
- 0165-0270 (ISSN-L)
- OpenAlex
- W2030925257
- Cited by
- 399
- References
- 2
- FWCI
- 9.96
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks. https://app.cochat.ai/papers/10.1016/j.jneumeth.2010.08.030
- The paper
- Guo, L., Rivero, D., & Pazos, A. (2010). Epileptic seizure detection using multiwavelet transform based approximate entropy and artificial neural networks. Journal of Neuroscience Methods. https://doi.org/10.1016/j.jneumeth.2010.08.030
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.
