Recurrence-Based Synchronization of Single Trials for EEG-Data Analysis

Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract / Description of output

We introduce a method based on nonlinear system analysis to synchronize single-trial event-related potentials (ERPs) prior to averaging in order to account for trial-to-trial variability in processing speed. Results from artificial and real ERP-data are presented and our algorithm is shown to outperform existing solutions. The presented algorithms are available for download.
Original languageEnglish
Title of host publicationRecurrence-Based Synchronization of Single Trials for EEG-Data Analysis
Subtitle of host publicationIntelligent Data Engineering and Automated Learning - IDEAL 2009: 10th International Conference, Burgos, Spain, September 23-26, 2009. Proceedings
EditorsEmilio Corchado, Hujun Yin
Place of PublicationBerlin, Heidelberg
PublisherSpringer
Pages118-125
Number of pages8
ISBN (Electronic)978-3-642-04394-9
ISBN (Print)978-3-642-04393-2
DOIs
Publication statusPublished - 2009

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume5788
ISSN (Print)0302-9743

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