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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
Introduction
 During the experiment
 The participant usually passively listens to the stimuli
 The stimuli consist of
Repeated standard stimuli
 Deviant stimuli

Introduction
 Figure 1
 Shows an oddball paradigm
the deviant stimuli
the repeated standard stimuli
The standard sweep
the deviant sweep
Introduction
 Data processing is important in MMN studies
 MMN measures (peak amplitude and peak latency) are
usually estimated from the DW