Analysing Non-stationarity in EEG-BCI
published: April 3, 2014, recorded: February 2014, views: 2835
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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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