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Frequency-response-based Wavelet
Decomposition for Extracting
Children’s Mismatch Negativity
Elicited by Uninterrupted Sound
Department of Mathematical Information Technology ,University of Jyväskylä,Jyväskylä 40014,Finland
Center for Intelligent Maintenance Systems,University of Cincinnati,OH 45221,USA
School of Psychology, Beijing Normal University,Beijing 100875,China
Department of Psychology,University of Jyväskylä, Jyväskylä 40014,Finland
Received 6 Apr 2011; Accepted 14 Sep 2011; doi: 10.5405/jmbe.908
Chairman:Hung-Chi Yang
Presenter: Yu-Kai Wang
Advisor: Dr. Yeou-Jiunn Chen
Date: 2013.3.6
Outline
Introduction
Purposes
Materials and Methods
Results
Conclusions
Results
 Table 2 shows
 Statistical test results of the MMN peak magnitude and
latency for each method for the two deviants
 For ANOVA, the deviant for eliciting MMN was the factor,
with the two deviants as the two levels
Results
significantly
Results
 Table 3 shows
 Statistical test results of the MMN peak amplitude and the
latency
 WLD
 The ODF
 The DW
 WLD-Coif
 For ANOVA, the method used
 To extract MMN was the factor, with the two methods in the
comparison as the two levels