Asynchronous P300 BCI: SSVEP based control state detection

Rajesh Panicker, Sadasivan Puthusserypady, Ying Sun

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    Abstract

    An asynchronous hybrid brain-computer interface (BCI) system combining the P300 and steady-state visually evoked potentials (SSVEP) paradigms is introduced. A P300 base system is used for information transfer, and is augmented to include SSVEP for control state detection. The proposed
    system has been validated through off-line and online experiments. It is shown to achieve fast and accurate control state detection without significantly compromising the performance. For the two subjects who participated in the online experiments, the system achieved an average data transfer
    rate of 20.13 bits/min, with control state classification accuracy of more than 97%.
    Original languageEnglish
    Title of host publicationProceedings of the EUSIPCO 2010
    PublisherIEEE
    Publication date2010
    Pages934-938
    Publication statusPublished - 2010
    Event18th European Signal Processing Conference - Aalborg, Denmark
    Duration: 23 Aug 201027 Aug 2010
    Conference number: 18

    Conference

    Conference18th European Signal Processing Conference
    Number18
    Country/TerritoryDenmark
    CityAalborg
    Period23/08/201027/08/2010

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