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Frequency-response-based Wavelet Decomposition for Extracting Children’s Mismatch Negativity Elicited by Uninterrupted Sound Department of Mathematical.

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Presentation on theme: "Frequency-response-based Wavelet Decomposition for Extracting Children’s Mismatch Negativity Elicited by Uninterrupted Sound Department of Mathematical."— Presentation transcript:

1 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

2 Outline  Introduction  Purposes  Materials and Methods  Results  Conclusions

3 Material and Methods 2.1 Experimental design and procedure Experimental design The data were collected at the Department of Psychology at the University of Jyväskylä, Finland MMN responses of 114 children without hearing defects were recorded The mean age of the children was 11 years 8 months

4 Material and Methods Procedure Step 1. The children listened to an uninterrupted sound Alternated between 100-ms sine tones of 600 Hz and 800 Hz There was no pause between the alternating tones and their amplitudes were equal Step 2. 15% of the 600-Hz tones were randomly replaced by shorter ones of 50-ms or 30-ms duration The number of dev50ms was equal to that of dev30ms

5 Material and Methods Step 3. There were at least six repetitions of alternating 100- ms tones between two deviants. The stimuli were presented binaurally through headphones at 65 dB Step 4. The children were instructed to not pay attention to the sounds While sitting quietly and still watching a silent movie for 15 minutes


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