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Research Article

EEG signals classification of epileptic patients via feature selection and voting criteria in intelligent method

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Pages 146-155 | Received 27 Sep 2013, Accepted 30 Jan 2014, Published online: 03 Mar 2014

References

  • Fisher, R.S., van Emde Boas, W., Blume, W., Elger, C., Genton, P., Lee, P., Engel, J.J., 2005, Epileptic seizures and epilepsy: Definitions proposed by the International League Against Epilepsy (ILAE) and the International Bureau for Epilepsy (IBE). Epilepsia, 46, 470–472
  • Iasemidis, L.D., Shiau, D.S., Chaovalitwongse, W., Sackellares, J.C., Pardalos, P.M., Principe, J.C., Carney, P.R., Prasad, A., Veeramani, B., Tsakalis, K., 2003, Adaptive epileptic seizure prediction system. IEEE Transactions on Biomedical Engineering, 50, 616–627
  • Güler, I., and Übeyli, E.D., 2005, Adaptive neuro-fuzzy inference system for classification of EEG signals using wavelet coefficients. Journal of Neuroscience Methods, 148, 113–121
  • Güler, N.F., Übeyli, E.D., and Güler, I., 2005, Recurrent neural networks employing Lyapunov exponents for EEG signals classification. Expert Systems with Applications, 29, 506–514
  • Polat, K., and Günes, S., 2007, Classification of epileptiform EEG using a hybrid system based on decision tree classifier and fast Fourier transform. Applied Mathematics and Computation, 187, 1017–1026
  • Polat, K., and Günes, S., 2008, Artificial immune recognition system with fuzzy resource allocation mechanism classifier, principal component analysis and FFT method based new hybrid automated identification system for classification of EEG signals. Expert Systems with Applications, 34, 2039–2048
  • Subasi, A., 2007, EEG signal classification using wavelet feature extraction and a mixture of expert model. Expert Systems with Applications, 32, 1084–1093
  • Gabor, A.J., and Seyal, M., 1992, Automated interictal EEG spike detection using artificial neural networks. Electroencephalography and Clinical Neurophysiology, 83, 271–280
  • Glover, J.R., Jr Raghaven, N., Ktonas, P.Y., and Frost J.D. Jr., 1989, Context-based automated detection of epileptogenic sharp transientsin the EEG: Elimination of false positives. IEEE Transactions on Biomedical Engineering, 36, 519–527
  • Nigam, V.P., and Graupe, D., 2004, A neural-network-based detection of epilepsy. Neurological Research, 26, 55–60
  • Webber, W.R.S., Litt, B., Lesser, R.P., Fisher, R.S., and Bankman, I., 1993, Automatic eeg spike detection – What should the computer imitate. Electroencephalography and Clinical Neurophysiology, 87, 364–373
  • Cvetkovic, D., Übeyli, E.D., and Cosic, I., 2008, Wavelet transform feature extraction from human PPG, ECG, and EEG signal responses to ELF PEMF exposures: A pilot study. Digital Signal Processing, 18, 861–874
  • Adeli, H., Zhou, Z., and Dadmehr, N., 2003, Analysis of EEG records in an epileptic patient using wavelet transform. Journal of Neuroscience Methods, 123, 69–87
  • Ocak, H., 2009, Automatic detection of epileptic seizures in EEG using discrete wavelet transform and approximate entropy. Expert Systems with Applications, 36, 2027–2036
  • Yang, B.H., Yan, G.Z., Yan, R.G., and Wu, T., 2006, Feature extraction for EEG-based brain-computer interfaces by wavelet packet best basis decomposition. Journal of Neural Engineering, 3, 251–256
  • Yildiz, A., Akin, M., Poyraz, M., and Kirbas, G., 2009, Application of adaptive neuro fuzzy inference system for vigilance level estimation by using wavelet-entropy feature extraction. Expert Systems with Applications, 36, 7390–7399
  • Wang, D., Miao, D., and Xie, C., 2011, Best basis-based wavelet packet entropy feature extraction and hierarchical EEG classification for epileptic detection. Expert Systems with Applications, 38, 14314–14320
  • EEG time series. Andrzejak, R.G., Lehnertz, K., Mormann, F., Rieke, C., David, P., and Elger, C.E.: the Department of Epileptology, the University Hospital of Bonn, 2001 - [cited 2001]. Available from: http://www.meb.uni-bonn.de/epileptologie/science/physik/eegdata.html. [last accessed 21 Feb 2014]
  • Andrzejak, R.G., Lehnertz, K., Mormann, F., Rieke, C., David, P., and Elger, C.E., 2001, Indications of nonlinear deterministic and finite-dimensional structures in time series of brain electrical activity: Dependence on recording region and brain state. Physical Review E, 64, (61907) 1–8
  • Avci, E., 2007, A new optimum feature extraction and classification method for speaker recognition: GWPNN. Expert Systems with Applications, 32, 485–498
  • Avci, E., and Akpolat, Z.H., 2006, Speech recognition using a wavelet packet adaptive network based fuzzy inference system. Expert Systems with Applications, 31, 495–503
  • Avci, E., Turkoglu, I., and Poyraz, M., 2005, Intelligent target recognition based on wavelet packet neural network. Expert Systems with Applications, 29, 175–182
  • Coifman, R.R., Meyer, Y., and Wickerhauser, M.V., 1992, Wavelet analysis and signal processing. In: Ruskai, M.B., Beylkin, G., Coifman, R.R., Daubechies, I., Mallat, S., Meyer, Y., Raphael, L., editors. Wavelets and their applications (Boston, MA: Jones and Bartlett), pp. 153–178
  • Coifman, R.R., Meyer, Y., and Wickerhauser, M.V., 1992, Size properties of wavelet packets. In: Ruskai, M.B., Beylkin, G., Coifman, R.R., Daubechies, I., Mallat, S., Meyer, Y., Raphael, L., editors. Wavelets and their applications (Boston, MA: Jones and Bartlett), pp. 453–470
  • Burrus, C.S., Gopinath, R.A., and Guo, H., 1997, Introduction to wavelets and wavelet transforms: a primer (New Jersey: Prentice-Hall)
  • Coifman, R.R., and Wickerhauser, M.V., 1992, Entropy-based algorithms for best basis selection. IEEE Transactions on Information Theory, 38, 713–718
  • Duda, R.O., Hart, P.E., and Stork, D.G., 2000, Pattern classification (New York: John Wiley & Sons)
  • Fukunaka, K., 1990, Introduction to statistical pattern recognition (New York: Academic Press)

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