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Three-Class EEG-fTCD Brain-Computer Interfaces.pdf (394.28 kB)
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Three-Class EEG-fTCD Brain-Computer Interfaces

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posted on 2020-08-29, 20:44 authored by Aya KhalafAya Khalaf, Ervin Sejdic, Akcakaya Murat
We studied the feasibility of increasing the possible number of BCI commands that can be produced through our EEG-fTCD BCI by solving the 3-class problems of both the MI and flickering MR/WG paradigms.

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Email Address of Submitting Author

aya.khalaf@yale.edu

Submitting Author's Institution

Yale University

Submitting Author's Country

  • United States of America

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    Keywords

    electroencephalogram (EEG)Functional Transcranial Doppler UltrasoundHybrid Brain-Computer InterfacesCommon Spatial PatternTemplate MatchingWavelet DecompositionProbabilistic Fusion

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    CC BY 4.0

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