Please use this identifier to cite or link to this item: http://nopr.niscair.res.in/handle/123456789/14287
Title: Automatic extracting event-related potentials within several trials using Infomax ICA algorithm
Authors: Chen, Hongbo
Li, Beilei
Chen, Zhencheng
Keywords: Electroencephalograph (EEG);Event-related potential (ERP);Independent component analysis (ICA)
Issue Date: Jul-2012
Publisher: NISCAIR-CSIR, India
Abstract: This study presents a new method for automatic extracting event-related potentials (ERP) within several trials based on independent component analysis (ICA). After mixed data is decomposed by Infomax ICA, independent component (IC) of ERP is automatically selected according to the standard deviation of fixed temporal pattern of IC, and applied in ERP reconstruction. Visual evoked potential extraction, used to confirm effectiveness of algorithm, can be obtained automatically after 6 trials on experimental data, and result of its Pearson correlation coefficient (PCC) within the average of 205 trials (standard signal) is 0.9106. However, PCC of average result of 6 trials within standard signal is only 0.3066, demonstrating practical applicability of proposed method. This algorithm enhances objectivity of ERP extraction within several trials.
Page(s): 468-473
URI: http://hdl.handle.net/123456789/14287
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Appears in Collections:JSIR Vol.71(07) [July 2012]

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