CLASSIFICATION OF ICTAL AND INTERICTAL EEG SIGNALS

Zavid M. Parvez, Manoranjan Paul

References

  1. [1] Neurology Applied: How Science is Bringing MusicInstruction Back to Expressive Development, URL:http://www.thomasjwestmusic.com/neurologyapplied.htm,Visited Date: August 27, 2012.
  2. [2] EEG Signal, The science behind Bo-Tau, URL:http://www.bo-tau.co.uk/index.php?action=the_science_behind_bo_tau,Visited date: August 27,2012.
  3. [3] Epilepsy-Seizures,URL:http://www.healthcommunities.com/epilepsy-seizures/about-seizures.shtml, Visited date: August 27,2012.
  4. [4] M. Soleymani, T. Pun, and M. Pantic, "Multi-ModalEmotion Recognition in Response to Videos", IEEETransactions on Affective Computing, 2012.
  5. [5] S. Scholler, S. Bosse, M. S. Treder, B. Blankertz, G. Curio,K.-R. Müller, and T. Wiegand,” Toward a Direct Measureof Video Quality Perception Using EEG”, IEEETransaction on Image Processing, May 2012.
  6. [6] W. Di, C. Zhihua, F. Ruifang, L. Guangyu, and L. Tian,“Study on human brain after consuming alcohol based onEEG signal,” 3rdInt. Conference on Computer Science andInformation Technology (ICCSIT), vol 5, pp: 406 – 409,2010.
  7. [7] E. Estrada, H. Nazeran, F, Ebrahimi, and M Mikaeili, “EEGsignal features for computer-aided sleep stage detection”,IEEE EMBS conference on neural engineering, April 29-May 2,2009.
  8. [8] Z. M. Hanafiah, K. F. M. Yunos, Z. H. Murat, M. N. Taib,S. Lias, “ EEG brainwave pattern for smoking behaviourafter horizontal rotation treatment”, IEEE studentconference on research and development, Nov 2009.
  9. [9] Z. H. Murat, R. Shilawani, S. A. Kadir, R. M. Isa, and M N.Taib, “The effects of mobile phone usage on humanbraingwave using EEG”, 13thInternational conference onmodelling and simulation, 2011.
  10. [10] K. Lehnertz, R. G.Andrzejak, J. Arnhold, T. Kreuz, F.Mormann, C. Rieke, G. Widman, and C. E. Elger,”NonlinerEEG analysis in Epilepsy: Its possible use for Interictalfocus localization, seizure ancipation, and prevention,”Journal of Clinical Neurophsysiology, pp. 209-222, 2001.
  11. [11] R. Panda, P.S. Khobragade, P.D. Jambhule, S. N. Jengthe,P. R. Pal, and T. K. Gandhi, “Classification of EEG signalusing wavelet transform and support vector machine forepileptic seizure diction,” International Conference onSystems in Medicine and Biology (ICSMB), pp. 405-408,2010.
  12. [12] S. G. Dastidar, H. Adeli, and N. Dadmehr, “Mixed-bandwavelet chaos-neural network methodology for epilepsyand epileptic seizure detection,” IEEE Trans. Biomed. Eng.,vol. 54, no. 9, pp. 1545-1551, Sep. 2007.
  13. [13] H. Ocak, “Optimal classification of epileptic seizures inEEG using wavelet analysis and genetic algorithm,” SignalProecss., vol. 88, pp. 1858-1867, 2008.
  14. [14] K. Polat and S. G¨unes, “Classification of epileptiformEEG using a hybrid system based on decision tree classifierand fast Fourier transform,” Appl. Math. Comput., vol. 187,no. 2, pp. 1017-1026, 2007.
  15. [15] S. F. Liang, H. C. Wang, and W. L. Chang, “Combinationof EEG complexity and spectral analysis for epilepsydiagnosis and seizure detection,” EURASIP J. Adv. SignalProcess., vol. 2010, Article ID 853434, 2010.
  16. [16] R. B. Pachori, “Discrimination between ictal and seizure-free EEG signals using empirical mode decomposition,”Res. Lett. Signal Processing, vol. 2008, Article ID 293056,2008.
  17. [17] V. Bajaj and R. B. Pachori, “Classification of Seizure andNon-seizure EEG Signals using Empirical ModeDecomposition,” IEEE Transaction on InformationTechnology in Biomedicine, 2011.
  18. [18] “Epilepsy data: a few small files (text format),”http://epileptologie-bonn.de/cms/front_content.php?idcat=193&lang=3&changelang=3, Visited Date: April 28, 2012.
  19. [19] EEG Data set from Epilepsy Center of the UniversityHospital of Freiburg http://epilepsy.uni-freiburg.de/freiburg-seizure-prediction-project/eeg-database, Visited Date: June 10, 2012.
  20. [20] X. Zhang, W. Diao and Z. Cheng, ” Wavelet Transform andSingular Value Decomposition of EEG Signal for PatternRecognition of Complicated Hand Activities,” DigitalHuman Modeling, Lecture Notes in ComputerScience,Volume 4561, 2007, pp 294-303.
  21. [21] J. Harrison, “Fast and Accurate Bessel FunctionComputation,” 19th IEEE Symposium on ComputerArithmetic, June 2009, pp: 104 – 113.
  22. [22] K. D. Brabanter, P. Karsmakers, F. Ojeda, C. Alzate, and J.D. Brabanter, K. Pelckmans, B. De Moor, J. Vandewalle,J.A.K. Suykens, LS-SVMlab Toolbox User’s Guide,version 1.8, Katholieke Universiteit Leuven, August 2011.
  23. [23] S. Sanei and J.A. Chambers, “EEG Signal Processing,”Centre of Digital Signal Processing, Cardiff University,UK, John Wiley & Sons, Ltd., 2007.
  24. [24] Shigeo Abe, Support vector machine for patternclassification, Second Edition, Springer, 2010.
  25. [25] H. Xing, M. Ha, B. Hu, and D. Tian, “Linear feature-weighted support vector machine,” Springer and FuzzyInformation and Engineering Branch of the OperationsResearch Society of China, 2009.

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