By Topic

Dynamic Brain Sources of Single-Trial Auditory Evoked Potentials Data Using Complex ICA Approach

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$33 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

4 Author(s)
Liangyu Zhao ; Dept. of Electronic Engineering, Saitama Institute of Technology, 1690 Fusaiji, Okabe, Saitama 369-0293, Japan. E-mail: m4006ybh@sit.ac.jp ; Jianting Cao ; T. Hoya ; A. Cichocki

In this study, a robust pre-whitening technique and independent component analysis (ICA) approach are applied to unaveraged single-trial multichannel EEG data from auditory evoked potential (AEP) experiments. Single-trial event-related potential (ERP) data are usually averaged firstly to analysis in order to increase their signal/noise in electroencephalographic (EEG) experiment. However, averaging ignores the trial-by-trial variation of the amplitude. Our approach is based upon the two techniques: decorrelation with a high-level additive noise reduction and decomposition of individual source components. The results on the unaveraged auditory evoked potential single-trial data analysis illustrate that not only the behavior and location but also the activity strength (amplitude) and dynamics of the individual evoked response can be visualized by the proposed method

Published in:

2005 IEEE Engineering in Medicine and Biology 27th Annual Conference

Date of Conference:

17-18 Jan. 2006