Slow Sphering to Suppress Non-Stationaries in the EEG

B. Reuderink, Jason Farquhar, Mannes Poel

    Research output: Contribution to journalArticleAcademicpeer-review

    96 Downloads (Pure)


    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 languageUndefined
    Pages (from-to)78-79
    Number of pages2
    JournalInternational journal of bioelectromagnetism
    Issue number2
    Publication statusPublished - Aug 2011


    • EWI-20931
    • non-stationarities
    • electroencephalogram
    • Brain-Computer Interface
    • METIS-281616
    • IR-78201
    • common spatial patterns

    Cite this