The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Epileptic seizures detection in EEG using DWT-based ApEn and artificial neural network
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Cites
A theory for multiresolution signal decomposition: the wavelet representation
Mallat, S. G. (1989) · IEEE Transactions on Pattern Analysis and Machine Intelligence · doi:10.1109/34.192463 · Cited by 21,372
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
Andrzejak, R. G., Lehnertz, K., Mormann, F., Rieke, C., David, P., & Elger, C. E. (2001) · Physical Review E · doi:10.1103/physreve.64.061907 · Cited by 3,032
EEG signal classification using PCA, ICA, LDA and support vector machines
Subasi, A., & Ismail Gursoy, M. (2010) · Expert Systems with Applications · doi:10.1016/j.eswa.2010.06.065 · Cited by 1,209
EEG signal classification using wavelet feature extraction and a mixture of expert model.
SUBASI, A. (2007) · Expert Systems with Applications · doi:10.1016/j.eswa.2006.02.005 · Cited by 1,182
Analysis of EEG records in an epileptic patient using wavelet transform
Adeli, H., Zhou, Z., & Dadmehr, N. (2003) · Journal of Neuroscience Methods · doi:10.1016/s0165-0270(02)00340-0 · Cited by 1,154
Entropies for detection of epilepsy in EEG
Kannathal, N., Choo, M. L., Acharya, U. R., & Sadasivan, P. K. (2005) · Computer Methods and Programs in Biomedicine · doi:10.1016/j.cmpb.2005.06.012 · Cited by 753
Ocak, H. (2009) · Expert Systems with Applications · doi:10.1016/j.eswa.2007.12.065 · Cited by 738
Polat, K., & Güneş, S. (2007) · Applied Mathematics and Computation · doi:10.1016/j.amc.2006.09.022 · Cited by 666
Orhan, U., Hekim, M., & Ozer, M. (2011) · Expert Systems with Applications · doi:10.1016/j.eswa.2011.04.149 · Cited by 645
Cited by
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
A robust methodology for classification of epileptic seizures in EEG signals
Tzimourta, K. D., Tzallas, A. T., Giannakeas, N., Astrakas, L. G., Tsalikakis, D. G., Angelidis, P., & Tsipouras, M. G. (2019) · Health and Technology · doi:10.1007/s12553-018-0265-z · Cited by 109
Metadata
- Authors
- Kumar, Y., Dewal, M. L., & Anand, R. S.
- Venue
- Signal, Image and Video Processing
- Published
- 2012-08-10
- Volume
- 8
- Issue
- 7
- Pages
- 1323-1334
- ISSN
- 1863-1703 (ISSN-L)
- 1863-1711
- OpenAlex
- W1984164526
- Cited by
- 253
- References
- 41
- FWCI
- 3.53
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Epileptic seizures detection in EEG using DWT-based ApEn and artificial neural network. https://app.cochat.ai/papers/10.1007/s11760-012-0362-9
- The paper
- Kumar, Y., Dewal, M. L., & Anand, R. S. (2014). Epileptic seizures detection in EEG using DWT-based ApEn and artificial neural network. Signal, Image and Video Processing. https://doi.org/10.1007/s11760-012-0362-9
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.
