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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 Material and Methods 2.2EEG recordings The EEG recordings Were performed with Brain Atlas amplifiers with a 50K gain Data acquisition of the EEG responses With a 12-bit 16-channel analog-to-digital converter(ADC) The down-sampling rate was 200 Hz Analog band-pass filter of 0.1-30 Hz was applied The data were processed offline Material and Methods The recording started 300 ms before the onset of a deviant stimulus and lasted until 350 ms after the onset The first segment had Three 100-ms stimulus changes(800-600-800 Hz) The deviant stimulus had A duration of 50 ms or 30 ms at 600 Hz, and the last segment was identical to the first one Material and Methods 2.3Data reduction In order to remove artifacts, two exclusion principles based on visual inspection were used A trial in which recordings Eye movements exceeding 100V were removed was conducted Only a straight line with null information were removed was conducted