• DocumentCode
    970845
  • Title

    Electrocorticography-based brain computer Interface-the seattle experience

  • Author

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

  • Author_Institution
    Dept. of Neurological Surg., Univ. of Washington, Seattle, WA, USA
  • Volume
    14
  • Issue
    2
  • fYear
    2006
  • fDate
    6/1/2006 12:00:00 AM
  • Firstpage
    194
  • Lastpage
    198
  • 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.
  • Keywords
    bioelectric phenomena; biomechanics; brain; handicapped aids; medical computing; medical control systems; prosthetics; ECoG; electrocorticography-based brain computer interface; motor tasks; neuroprosthetics; one-dimensional cursor movement; online control; online feedback; speech tasks; Brain computer interfaces; Computer interfaces; Electrodes; Electroencephalography; Electromyography; Epilepsy; Spatial resolution; Speech; Stability; Systems engineering and theory; Brain–computer interface (BCI); brain–machine interface (BMI); neuroprosthetics; Cerebral Cortex; Electroencephalography; Epilepsy; Evoked Potentials; Humans; Therapy, Computer-Assisted; User-Computer Interface; Washington;
  • fLanguage
    English
  • Journal_Title
    Neural Systems and Rehabilitation Engineering, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1534-4320
  • Type

    jour

  • DOI
    10.1109/TNSRE.2006.875536
  • Filename
    1642767