NISCAIR Online Periodicals Repository

Research Journals >
Journal of Scientific and Industrial Research (JSIR) >
JSIR Vol.71 [2012] >
JSIR Vol.71(07) [July 2012] >

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
CC License:  CC Attribution-Noncommercial-No Derivative Works 2.5 India
ISSN: 0975-1084 (Online); 0022-4456 (Print)
Source:JSIR Vol.71(07) [July 2012]

Files in This Item:

File Description SizeFormat
JSIR 71(7) 468-473.pdf81.16 kBAdobe PDFView/Open
 Current Page Visits: 86 
Recommend this item


Online Submission of Articles |  NISCAIR Website |  National Knowledge Resources Consortium |  Contact us |  Feedback

Disclaimer: NISCAIR assumes no responsibility for the statements and opinions advanced by contributors. The editorial staff in its work of examining papers received for publication is helped, in an honorary capacity, by many distinguished engineers and scientists.

CC License Except where otherwise noted, the Articles on this site are licensed under Creative Commons License: CC Attribution-Noncommercial-No Derivative Works 2.5 India

Copyright © 2015 The Council of Scientific and Industrial Research, New Delhi. All rights reserved.

Powered by DSpace Copyright © 2002-2007 MIT and Hewlett-Packard | Compliant to OAI-PMH V 2.0

Home Page Total Visits: 168292 since 01-Sep-2015  Last updated on 29-Jun-2016Webmaster: