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.
|Number of pages||2|
|Journal||International journal of bioelectromagnetism|
|Publication status||Published - Aug 2011|
- Brain-Computer Interface
- common spatial patterns