Single-Trial Based Independent Component Analysis on mismatch Negativity in Children
نویسندگان
چکیده
Independent component analysis (ICA) does not follow the superposition rule. This motivates us to study a negative event-related potential - mismatch negativity (MMN) estimated by the single-trial based ICA (sICA) and averaged trace based ICA (aICA), respectively. To sICA, an optimal digital filter (ODF) was used to remove low-frequency noise. As a result, this study demonstrates that the performance of the sICA+ODF and aICA could be different. Moreover, MMN under sICA+ODF fits better with the theoretical expectation, i.e., larger deviant elicits larger MMN peak amplitude.
منابع مشابه
Evaluation and Extraction of Mismatch Negativity through Exploiting Temporal, Spectral, Time-frequency and Spatial Features
Cong, Fengyu Evaluation and Extraction of Mismatch Negativity through Exploiting Temporal, Spectral, Time-frequency and Spatial Features Jyväskylä: University of Jyväskylä, 2010, 57p. (+included articles) (Jyväskylä Studies in Computing ISSN 1456-5390; 118) ISBN 978-951-39-3983-0 Finnish Summary Diss. This study is dedicated to the evaluation and extraction of mismatch negativity (MMN) from EEG...
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ورودعنوان ژورنال:
- International journal of neural systems
دوره 20 4 شماره
صفحات -
تاریخ انتشار 2010