The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Epileptic seizure prediction using relative spectral power features
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Citations
Cites
LIBSVM: A library for support vector machines
Chang, C.-C., & Lin, C.-J. (2011) · ACM Transactions on Intelligent Systems and Technology · doi:10.1145/1961189.1961199 · Cited by 40,918
Classification of patterns of EEG synchronization for seizure prediction
Mirowski, P., Madhavan, D., LeCun, Y., & Kuzniecky, R. (2009) · Clinical Neurophysiology · doi:10.1016/j.clinph.2009.09.002 · Cited by 380
Cited by
Epilepsy Seizure Prediction on EEG Using Common Spatial Pattern and Convolutional Neural Network
Zhang, Y., Guo, Y., Yang, P., Chen, W., & Lo, B. (2020) · IEEE Journal of Biomedical and Health Informatics · doi:10.1109/jbhi.2019.2933046 · Cited by 319
Automated seizure detection systems and their effectiveness for each type of seizure
Ulate-Campos, A., Coughlin, F., Gaínza-Lein, M., Fernández, I. S., Pearl, P. L., & Loddenkemper, T. (2016) · Seizure · doi:10.1016/j.seizure.2016.06.008 · Cited by 233
A Machine Learning Model to Predict Seizure Susceptibility from Resting-State fMRI Connectivity
Garner, R., Rocca, M. L., Barisano, G., Toga, A. W., Duncan, D., & Vespa, P. (2019) · 2019 Spring Simulation Conference (SpringSim) · doi:10.23919/springsim.2019.8732859 · Cited by 22
Metadata
- Authors
- Bandarabadi, M., Teixeira, C. A., Rasekhi, J., & Dourado, A.
- Venue
- Clinical Neurophysiology
- Publisher
- Elsevier BV
- Published
- 2015-02
- Volume
- 126
- Issue
- 2
- Pages
- 237-248
- ISSN
- 1388-2457 (ISSN-L)
- OpenAlex
- W2119705365
- Cited by
- 262
- References
- 2
- FWCI
- 8.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- The paper
- Bandarabadi, M., Teixeira, C. A., Rasekhi, J., & Dourado, A. (2015). Epileptic seizure prediction using relative spectral power features. Clinical Neurophysiology. https://doi.org/10.1016/j.clinph.2014.05.022
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.
