A subject-independent brain-computer interface based on smoothed, second-order baselining.

B. Reuderink, Jason Farquhar, Mannes Poel, Antinus Nijholt

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    29 Citations (Scopus)

    Abstract

    A brain-computer interface (BCI) enables direct communication from the brain to devices, bypassing the traditional pathway of peripheral nerves and muscles. Traditional approaches to BCIs require the user to train for weeks or even months to learn to control the BCI. In contrast, BCIs based on machine learning only require a calibration session of less than an hour before the system can be used, since the machine adapts to the user's existing brain signals. However, this calibration session has to be repeated before each use of the BCI due to inter-session variability, which makes using a BCI still a time-consuming and an error-prone enterprise. In this work, we present a second-order baselining procedure that reduces these variations, and enables the creation of a BCI that can be applied to new subjects without such a calibration session. The method was validated with a motor-imagery classification task performed by 109 subjects. Results showed that our subject-independent BCI without calibration performs as well as the popular common spatial patterns (CSP)-based BCI that does use a calibration session.

    Original languageEnglish
    Title of host publication2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    Place of PublicationPiscataway, NJ
    PublisherIEEE
    Pages4600-4604
    Number of pages5
    ISBN (Electronic)978-1-4577-1589-1, 978-1-4244-4122-8
    ISBN (Print)978-1-4244-4121-1
    DOIs
    Publication statusPublished - 3 Sep 2011
    Event33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011 - Boston Marriott Copley Place Hotel, Boston, United States
    Duration: 30 Aug 20113 Sep 2011
    Conference number: 33

    Publication series

    NameProceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society
    PublisherIEEE
    Volume2011
    ISSN (Print)1557-170X
    ISSN (Electronic)1558-4615

    Conference

    Conference33rd Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2011
    Abbreviated titleEMBC
    CountryUnited States
    CityBoston
    Period30/08/113/09/11

    Keywords

    • Machine learning
    • Brain-Computer Interface (BCI)
    • Training
    • HMI-CI: Computational Intelligence
    • Calibration

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  • Cite this

    Reuderink, B., Farquhar, J., Poel, M., & Nijholt, A. (2011). A subject-independent brain-computer interface based on smoothed, second-order baselining. In 2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society (pp. 4600-4604). (Proceedings Annual International Conference of the IEEE Engineering in Medicine and Biology Society; Vol. 2011). Piscataway, NJ: IEEE. https://doi.org/10.1109/IEMBS.2011.6091139