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

Abstract

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
Pages354-361
Number of pages8
ISBN (Electronic)978-3-540-88906-9
ISBN (Print)978-3-540-88905-2
DOIs
Publication statusPublished - 2008

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin Heidelberg
Volume5326
ISSN (Print)0302-9743

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