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Analysing Non-stationarity in EEG-BCI
This video was recorded at BBCI Winter School on Neurotechnology, Berlin 2014. 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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This work is licensed under a Attribution-NonCommercial-NoDerivs 3.0 United States
