Abstract
Non-stationary signals are ubiquitous in electroencephalogram (EEG) signals and pose a problem for robust application of brain-computer interfaces (BCIs). These non-stationarities can be caused by changes in neural background activity. We present a dynamic spatial filter based on time local whitening that significantly reduces the detrimental influence of covariance changes during event-related desynchronization classification of an imaginary movement task.
Original language | Undefined |
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Pages (from-to) | 78-79 |
Number of pages | 2 |
Journal | International journal of bioelectromagnetism |
Volume | 13 |
Issue number | 2 |
Publication status | Published - Aug 2011 |
Keywords
- EWI-20931
- non-stationarities
- electroencephalogram
- Brain-Computer Interface
- METIS-281616
- IR-78201
- common spatial patterns