Towards a Speech BCI Using ECoG

  • Eric C. Leuthardt
  • John Cunningham
  • Dennis Barbour
Chapter
Part of the SpringerBriefs in Electrical and Computer Engineering book series (BRIEFSELECTRIC)

Abstract

Electrocorticography (ECoG) has emerged as a new signal platform for brain–computer interface (BCI) systems. Classically, the cortical physiology that has been commonly investigated and utilized for device control in humans has been brain signals from sensorimotor cortex. More recently, speech networks have emerged as a new neurophysiological substrate that could be used to both further improve on or complement existing motor-based control paradigms as well as expand BCI techniques to new clinical populations. We review the emerging literature associated with the scientific, clinical, and technical findings that provide the motivation and capability for speech-based BCIs.

Keywords

Cortex Electrocorticography Gamma rhythms Human Speech Phoneme 

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Copyright information

© The Author(s) 2013

Authors and Affiliations

  • Eric C. Leuthardt
    • 1
    • 2
  • John Cunningham
    • 1
  • Dennis Barbour
    • 1
  1. 1.Department of Biomedical EngineeringWashington University in St. LouisSt. LouisUSA
  2. 2.Department of NeurosurgeryWashington University in St. Louis, School of MedicineSt. LouisUSA

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