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Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients.

, , , , , , , , , and . Comput. Methods Programs Biomed., 114 (3): 324-336 (2014)

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A-phases subtype detection using different classification methods., , , , , and . EMBC, page 1026-1029. IEEE, (2016)Automatic identification of Cyclic Alternating Pattern (CAP) sequences based on the Teager Energy Operator., , , , and . EMBC, page 5420-5423. IEEE, (2015)Epileptic seizure predictors based on computational intelligence techniques: A comparative study with 278 patients., , , , , , , , , and . Comput. Methods Programs Biomed., 114 (3): 324-336 (2014)Ontology and Knowledge Management System on Epilepsy and Epileptic Seizures., , , , and . SWAT4LS, volume 698 of CEUR Workshop Proceedings, CEUR-WS.org, (2010)Real-time epileptic seizure prediction at Centro Hospitalar e Universitário de Coimbra., , , , , , and . exp.at, page 196-198. IEEE, (2013)Combining Energy and Wavelet Transform for Epileptic Seizure Prediction in an Advanced Computational System., , , and . BMEI (2), page 380-385. IEEE Computer Society, (2008)978-0-7695-3118-2.An Application for Electroencephalogram Mining for Epileptic Seizure Prediction., , , and . ICDM, volume 5077 of Lecture Notes in Computer Science, page 87-101. Springer, (2008)Wepilet, optimal orthogonal wavelets for epileptic seizure prediction with one single surface channel., , , and . EMBC, page 7059-7062. IEEE, (2011)A Realistic Seizure Prediction Study Based on Multiclass SVM., , , , and . Int. J. Neural Syst., 27 (3): 1750006:1-1750006:15 (2017)An alternative methodology for the estimation of frequency changes in electroencephalogram signals., , , , and . exp.at, page 302-305. IEEE, (2015)