Analysing Non-stationarity in EEG-BCI

author: Klaus-Robert Müller, Department of Software Engineering and Theoretical Computer Science, Technische Universität Berlin
published: April 3, 2014,   recorded: February 2014,   views: 2833
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Description

EEG is a highly complex signal. One of the main challenges of EEG analysis is to robustify against artifacts, non-stationarities and task unrelated variability. This holds in particular for EEG experiments outside a controlled lab environment. The tutorial will report on a broad line of algorithmic research to analyse and compensate non-stationarity in EEG thriving for more robust analysis.

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Download slides icon Download slides: bbci2014_mueller_non_stationarity_01.pdf (6.3 MB)


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