Slow Sphering to Suppress Non-Stationaries in the EEG

B. Reuderink, Jason Farquhar, Mannes Poel

    Research output: Contribution to journalArticleAcademicpeer-review

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    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 languageUndefined
    Pages (from-to)78-79
    Number of pages2
    JournalInternational journal of bioelectromagnetism
    Volume13
    Issue number2
    Publication statusPublished - Aug 2011

    Keywords

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

    Cite this

    Reuderink, B. ; Farquhar, Jason ; Poel, Mannes. / Slow Sphering to Suppress Non-Stationaries in the EEG. In: International journal of bioelectromagnetism. 2011 ; Vol. 13, No. 2. pp. 78-79.
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    Slow Sphering to Suppress Non-Stationaries in the EEG. / Reuderink, B.; Farquhar, Jason; Poel, Mannes.

    In: International journal of bioelectromagnetism, Vol. 13, No. 2, 08.2011, p. 78-79.

    Research output: Contribution to journalArticleAcademicpeer-review

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    T1 - Slow Sphering to Suppress Non-Stationaries in the EEG

    AU - Reuderink, B.

    AU - Farquhar, Jason

    AU - Poel, Mannes

    PY - 2011/8

    Y1 - 2011/8

    N2 - 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.

    AB - 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.

    KW - EWI-20931

    KW - non-stationarities

    KW - electroencephalogram

    KW - Brain-Computer Interface

    KW - METIS-281616

    KW - IR-78201

    KW - common spatial patterns

    M3 - Article

    VL - 13

    SP - 78

    EP - 79

    JO - International journal of bioelectromagnetism

    JF - International journal of bioelectromagnetism

    SN - 1456-7857

    IS - 2

    ER -