The European Physical Journal Special Topics

, Volume 222, Issue 10, pp 2713–2722 | Cite as

Serial identification of EEG patterns using adaptive wavelet-based analysis

  • A.I. Nazimov
  • A.N. PavlovEmail author
  • A.A. Nazimova
  • V.V. Grubov
  • A.A. Koronovskii
  • E. Sitnikova
  • A.E. Hramov
Regular Article Applications in Biology and Medicine


A problem of recognition specific oscillatory patterns in the electroencephalograms with the continuous wavelet-transform is discussed. Aiming to improve abilities of the wavelet-based tools we propose a serial adaptive method for sequential identification of EEG patterns such as sleep spindles and spike-wave discharges. This method provides an optimal selection of parameters based on objective functions and enables to extract the most informative features of the recognized structures. Different ways of increasing the quality of patterns recognition within the proposed serial adaptive technique are considered.


European Physical Journal Special Topic Oscillatory Pattern Sleep Spindle Instantaneous Amplitude Wavelet Energy 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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  1. 1.
    E. Niedermeyer, F.L. da Silva, Electroencephalography: Basic Principles, Clinical Applications, and Related Fields (Lippincot Williams & Wilkins, 2004)Google Scholar
  2. 2.
    L. De Gennaro, M. Ferrara, Sleep Med. Rev. 7, 423 (2003)CrossRefGoogle Scholar
  3. 3.
    C.P. Panayiotopoulos, Arch. Dis. Child. 81, 351 (1999)CrossRefGoogle Scholar
  4. 4.
    I.S. Midzianovskaia, G.D. Kuznetsova, A.M.L. Coenen, A.M. Spiridonov, E.L. van Luijtelaar, Brain Res. 911, 621 (2001)CrossRefGoogle Scholar
  5. 5.
    E. Sitnikova, G. van Luijtelaar, Epilepsia 48, 2296 (2007)Google Scholar
  6. 6.
    T. Inouye, Y. Matsumoto, K. Shinosaki, A. Iyama, S. Toi, Neurosci. Lett. 173, 197 (1994)CrossRefGoogle Scholar
  7. 7.
    P. van Hese, J.P. Martens, L. Waterschoot, P. Boon, I. Lemahieu, IEEE Trans. Biomed. Eng. 56, 706 (2009)CrossRefGoogle Scholar
  8. 8.
    P. van Hese, J.P. Martens, P. Boon, S. Dedeurwaerdere, I. Lemahieu, R. van de Walle, Phys. Med. Biol. 48, 1685 (2003)CrossRefGoogle Scholar
  9. 9.
    H. Adeli, Z. Zhou, N. Dadmehr, J. Neurosci. Methods 123, 69 (2003)CrossRefGoogle Scholar
  10. 10.
    D. Bosnyakova, A. Gabova, A. Zharikova, V. Gnezditski, G. Kuznetsova, G. van Luijtelaar, Clin. Neurophysiol. 118, 1736 (2007)CrossRefGoogle Scholar
  11. 11.
    M. Latka, Z. Was, A. Kozik, B.J. West, Phys. Rev. E 675, 052902 (2003)ADSCrossRefGoogle Scholar
  12. 12.
    E.D. Ubeyli, G. Ilbay, D. Sahin, N. Ates, Comput. Biol. Med. 39, 294 (2009)CrossRefGoogle Scholar
  13. 13.
    G. Ouyang, X. Li, C. Dang, D.A. Richards, Clin. Neurophysiol. 119, 1747 (2008)CrossRefGoogle Scholar
  14. 14.
    P.J. Durka, K.J. Blinowska, Ann. Biomed. Eng. 23, 608 (1995)CrossRefGoogle Scholar
  15. 15.
    P.J. Franaszczuk, G.K. Bergey, P.J. Durka, H.M. Eisenberg, Electroencephalogr. Clin. Neurophysiol. 106, 513 (1998)CrossRefGoogle Scholar
  16. 16.
    Y. Meyer (ed.), Wavelets and Applications (Springer-Verlag, 1992)Google Scholar
  17. 17.
    I. Daubechies, Ten Lectures on Wavelets (SIAM, 1992)Google Scholar
  18. 18.
    P.S. Addison, The Illustrated Wavelet Transform Handbook: Applications in Science, Engineering, Medicine and Finance (IOP Publishing, 2002)Google Scholar
  19. 19.
    J. Letelier, P. Weber, J. Neurosci. Methods 101, 93 (2000)CrossRefGoogle Scholar
  20. 20.
    R. Quian Quiroga, Z. Nadasdy, Y. Ben-Shaul, Neural Computation16, 1661 (2004)CrossRefzbMATHGoogle Scholar
  21. 21.
    A.N. Pavlov, V.A. Makarov, I. Makarova, F. Panetsos, Natural Computing 6, 269 (2007)MathSciNetCrossRefzbMATHGoogle Scholar
  22. 22.
    E. Sitnikova, A.E. Hramov, A.A. Koronovsky, G. van Luijtelaar, J. Neurosci. Methods 180, 304 (2009)CrossRefGoogle Scholar
  23. 23.
    A. Ovchinnikov, A. Lüttjohann, A. Hramov, G. van Luijtelaar, J. Neurosci. Meth. 194, 172 (2010)CrossRefGoogle Scholar
  24. 24.
    G. van Luijtelaar, A. Hramov, E. Sitnikova, A. Koronovskii, Clinical Neurophysiol. 122, 687 (2011)CrossRefGoogle Scholar
  25. 25.
    A.N. Pavlov, A.E. Hramov, A.A. Koronovskii, E. Sitnikova, V.A. Makarov, A.A. Ovchinnikov, Phys. Usp. 55, 845 (2012)CrossRefGoogle Scholar
  26. 26.
    A.A. Koronovskii, A.E. Hramov, Continuous Wavelet Analysis and its Applications (Moscow, Fizmatlit, 2003)Google Scholar
  27. 27.
    A.E. Hramov, A.A. Koronovskii, I.S. Midzyanovskaya, E.Yu. Sitnikova, C.M. van Rijn, Chaos 16, 043111 (2006)ADSCrossRefGoogle Scholar
  28. 28.
    A.E. Hramov, A.A. Koronovskii, Chaos 14, 603 (2004)MathSciNetADSCrossRefGoogle Scholar
  29. 29.
    W.H. Press, S.A. Teukokolsky, W.T. Vetterling, B.P. Flanney, Numerical Recipes in C: the Art of Scientific Computing (Cambridge University Press, 1992)Google Scholar
  30. 30.
    A.I. Nazimov, A.N. Pavlov, A.E. Hramov, V.V. Grubov, A.A. Koronovskii, E. Sitnikova, Proc. SPIE 8580, 85801D (2013)ADSCrossRefGoogle Scholar
  31. 31.
    R. Yuan, D. Yu, L. Faming, Stat. Comput. 18, 375 (2008)MathSciNetCrossRefGoogle Scholar
  32. 32.
    M. Papadrakakis, N.D. Lagaros, Computer Meth. Applying Mech. Eng. 191, 3491 (2002)ADSCrossRefzbMATHGoogle Scholar
  33. 33.
    M. Lewicki, Net. Com. Neu. Sys. 9, R53 (1998)CrossRefzbMATHGoogle Scholar

Copyright information

© EDP Sciences and Springer 2013

Authors and Affiliations

  • A.I. Nazimov
    • 1
  • A.N. Pavlov
    • 1
    Email author
  • A.A. Nazimova
    • 2
  • V.V. Grubov
    • 3
    • 4
  • A.A. Koronovskii
    • 3
  • E. Sitnikova
    • 5
  • A.E. Hramov
    • 3
    • 4
  1. 1.Physics Department, Saratov State UniversitySaratovRussia
  2. 2.Biology Department, Saratov State UniversitySaratovRussia
  3. 3.Faculty of Nonlinear Processes, Saratov State UniversitySaratovRussia
  4. 4.REC “Nonlinear Dynamics of Complex Systems”, Saratov State Technical UniversitySaratovRussia
  5. 5.Institute of the Higher Nervous Activity and Neurophysiology of Russian Academy of SciencesMoscowRussia

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