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The Scientific World Journal
Volume 2015, Article ID 945689, 15 pages
http://dx.doi.org/10.1155/2015/945689
Research Article

Ensemble Classifier for Epileptic Seizure Detection for Imperfect EEG Data

1Department of Computer Science & Engineering, College of Engineering, Qatar University, P.O. Box 2713, Doha, Qatar
2Computer Science Department, Graduate School of Computing, University Utara Malaysia (UUM), 06010 Sintok, Kedah, Malaysia

Received 8 June 2014; Revised 24 November 2014; Accepted 26 December 2014

Academic Editor: Juan R. Rabuñal

Copyright © 2015 Khalid Abualsaud et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Citations to this Article [9 citations]

The following is the list of published articles that have cited the current article.

  • Harikumar Rajaguru, and Sunil Kumar Prabhakar, “Sparse PCA and soft decision tree classifiers for epilepsy classification from EEG signals,” 2017 International conference of Electronics, Communication and Aerospace Technology (ICECA), pp. 581–584, . View at Publisher · View at Google Scholar
  • A.S. Shingare, and Ahmed Muqdad Alnasrallah, “Epileptic seizure detection using ensemble classifier and HOS (Higher Order Statistics),” 2016 International Conference on Computing Communication Control and automation (ICCUBEA), pp. 1–7, . View at Publisher · View at Google Scholar
  • Alimed Celecia Ramos, Rene Gonzalez Hernandez, Marley Vellasco, and Pedro Vellasco, “Ensemble of classifiers applied to motor imagery task classification for BCI applications,” 2017 International Joint Conference on Neural Networks (IJCNN), pp. 2995–3002, . View at Publisher · View at Google Scholar
  • Ramy Hussein, Z. Jane Wang, and Rabab Ward, “Ll-regularization based EEG feature learning for detecting epileptic seizure,” 2016 IEEE Global Conference on Signal and Information Processing (GlobalSIP), pp. 1171–1175, . View at Publisher · View at Google Scholar
  • Ramy Hussein, Amr Mohamed, and Masoud Alghoniemy, “Scalable real-time energy-efficient EEG compression scheme for wireless body area sensor network,” Biomedical Signal Processing and Control, vol. 19, pp. 122–129, 2015. View at Publisher · View at Google Scholar
  • S. Raghu, N. Sriraam, and G. Pradeep Kumar, “Classification of epileptic seizures using wavelet packet log energy and norm entropies with recurrent Elman neural network classifier,” Cognitive Neurodynamics, 2016. View at Publisher · View at Google Scholar
  • Dinesh Bhati, Manish Sharma, Ram Bilas Pachori, and Vikram M. Gadre, “Time–frequency localized three-band biorthogonal wavelet filter bank using semidefinite relaxation and nonlinear least squares with epileptic seizure EEG signal classification,” Digital Signal Processing, 2016. View at Publisher · View at Google Scholar
  • Ibrahem Taha, and Gregory Cook, “Brain sources estimation based on EEG and computer simulation technology (CST),” Biomedical Signal Processing and Control, vol. 46, pp. 145–156, 2018. View at Publisher · View at Google Scholar
  • Ramy Hussein, Mohamed Elgendi, Z. Jane Wang, and Rabab K. Ward, “Robust Detection of Epileptic Seizures Based on L1-Penalized Robust Regression of EEG Signals,” Expert Systems with Applications, 2018. View at Publisher · View at Google Scholar