Compensation for Speed-of-Processing Effects in EEG-Data Analysis

Matthias Ihrke, Hecke Schrobsdorff, J. Michael Herrmann

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


We study averaging schemes that are specifically adapted to the analysis of electroencephalographic data for the purpose of interpreting temporal information from single trials. We find that a natural assumption about processing speed in the subjects yields a complex but nevertheless robust algorithm for the analysis of electrophysiological data.
Original languageEnglish
Title of host publicationIntelligent Data Engineering and Automated Learning – IDEAL 2008
Subtitle of host publication9th International Conference Daejeon, South Korea, November 2-5, 2008 Proceedings
EditorsColin Fyfe, Dongsup Kim, Soo-Young Lee, Hujun Yin
Place of PublicationBerlin, Heidelberg
PublisherSpringer Berlin Heidelberg
Number of pages8
ISBN (Electronic)978-3-540-88906-9
ISBN (Print)978-3-540-88905-2
Publication statusPublished - 2008

Publication series

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


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