Dynamic brain sources of single-trial auditory evoked potentials data using complex ICA approach

Liangyu Zhao, Jianting Cao, Tetsuya Hoya, Andrzej Cichocki

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

2 Citations (Scopus)

Abstract

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 electroen-cephalographic (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.

Original languageEnglish
Title of host publicationProceedings of the 2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Pages4191-4194
Number of pages4
Publication statusPublished - 2005
Externally publishedYes
Event2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005 - Shanghai, China
Duration: 1 Sep 20054 Sep 2005

Publication series

NameAnnual International Conference of the IEEE Engineering in Medicine and Biology - Proceedings
Volume7 VOLS
ISSN (Print)0589-1019

Conference

Conference2005 27th Annual International Conference of the Engineering in Medicine and Biology Society, IEEE-EMBS 2005
Country/TerritoryChina
CityShanghai
Period1/09/054/09/05

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