Electrocorticography-based brain computer interface - The seattle experience

Eric C. Leuthardt, Kai J. Miller, Gerwin Schalk, Rajesh P.N. Rao, Jeffrey G. Ojemann

Research output: Contribution to journalArticlepeer-review

169 Scopus citations

Abstract

Electrocorticography (ECoG) has been demonstrated to be an effective modality as a platform for brain-computer interfaces (BCIs). Through our experience with ten subjects, we further demonstrate evidence to support the power and flexibility of this signal for BCI usage. In a subset of four patients, closed-loop BCI experiments were attempted with the patient receiving online feedback that consisted of one-dimensional cursor movement controlled by ECoG features that had shown correlation with various real and imagined motor and speech tasks. All four achieved control, with final target accuracies between 73%-100%. We assess the methods for achieving control and the manner in which enhancing online control can be accomplished by rescreening during online tasks. Additionally, we assess the relevant issues of the current experimental paradigm in light of their clinical constraints.

Original languageEnglish
Article number1642767
Pages (from-to)194-198
Number of pages5
JournalIEEE Transactions on Neural Systems and Rehabilitation Engineering
Volume14
Issue number2
DOIs
StatePublished - Jun 2006

Keywords

  • Brain-computer interface (BCI)
  • Brain-machine interface (BMI)
  • Neuroprosthetics

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