Transcript 下載/瀏覽

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
Material and Methods
 The reverse biorthogonal wavelet with an order of 6.8
was chosen for the WLD of MMN in this study
Material and Methods
 2.5 Data processing methods for comparison
 The conventional average should be calculated first to
reduce the computation load
 The DW, ODF, and WLD were performed on the averaged
trace, respectively
Material and Methods
 2.6 Analyzing MMN peak measurement
 MMN measurements from the DW
 The peak amplitude
 Latency were examined
 The MMN peak amplitude and latency were examined
 Using repeated measures analysis of variance (ANOVA) to
determine

Whether a difference of MMN measurements between the two
deviants was evident under each method, respectively