, Volume 46, Issue 4, pp 361–369 | Cite as

Wavelet Decomposition-Based Analysis of Mismatch Negativity Elicited by a Multi-Feature Paradigm

  • M. Najafi-Koopaie
  • H. Sadjedi
  • S. Mahmoudian
  • E. D. Farahani
  • M. Mohebbi

In this study, event-related potentials (ERPs) collected from normally hearing subjects and elicited by a multi-feature paradigm were investigated, and mismatch negativity (MMN) was detected. Standard stimuli and five types of deviant stimuli were presented in a specified sequence, while EEG data were recorded digitally at a 1024 sec–1 sampling rate. Two wavelet analyses were compared with a traditional difference-wave (DW) method. The Reverse biorthogonal wavelet ot the order of 6.8 and the quadratic B-Spline wavelet were applied for seven-level decomposition. The sixth-level approximation coefficients were appropriate for extracting the MMN from the averaged trace. The results obtained showed that wavelet decomposition (WLD) methods extract MMN as well as a band-pass digital filter (DF). The differences of the MMN peak latency between deviant types elicited by B-Spline WLD were more significant than those extracted by the DW, DF, or Reverse biorthogonal WLD. Also, wavelet coefficients of the delta-theta range indicated good discrimination between some combinations of the deviant types.


event-related potentials (ERPs) mismatch negativity (MMN) difference-wave (DW) band-pass digital filter (DF) wavelet decomposition (WLD) techniques 


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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • M. Najafi-Koopaie
    • 1
  • H. Sadjedi
    • 1
  • S. Mahmoudian
    • 2
    • 3
  • E. D. Farahani
    • 4
  • M. Mohebbi
    • 3
  1. 1.Electronics Group, Faculty of EngineeringShahed UniversityTehranIran
  2. 2.Department of OtorhinolaryngologyHannover Medical University (MHH)HannoverGermany
  3. 3.ENT and Head and Neck Research CenterTehran University of Medical Sciences (TUMS)TehranIran
  4. 4.Biomedical Engineering FacultyAmirkabir University of TechnologyTehranIran

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