Common spatial pattern and wavelet decomposition for motor imagery EEG- fTCD brain-computer interface.

Journal: Journal of neuroscience methods
Published Date: Apr 1, 2019

Abstract

BACKGROUND: Recently, hybrid brain-computer interfaces (BCIs) combining more than one modality have been investigated with the aim of boosting the performance of the existing single-modal BCIs in terms of accuracy and information transfer rate (ITR). Previously, we introduced a novel hybrid BCI in which EEG and fTCD modalities are used simultaneously to measure electrical brain activity and cerebral blood velocity during motor imagery (MI) tasks.

Authors

  • Aya Khalaf
    Electrical and Computer Engineering, University of Pittsburgh, 3700 O'Hara St, Pittsburgh, PA 15213, USA. Electronic address: afk17@pitt.edu.
  • Ervin Sejdić
    Department of Electrical and Computer Engineering, University of Pittsburgh, Benedum Hall, Pittsburgh, PA 15260, USA. Electronic address: esejdic@ieee.org.
  • Murat Akcakaya
    Department of Electrical and Computer Engineering, University of Pittsburgh, Pittsburgh, PA, USA, akcakaya@pitt.edu,tugcebusraiu@gmail.com.

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