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Electrocorticography-based brain computer Interface-the seattle experience

Authors :
Kai J. Miller
Rajesh P. N. Rao
Jeffrey G. Ojemann
Gerwin Schalk
Eric C. Leuthardt
Source :
IEEE Transactions on Neural Systems and Rehabilitation Engineering. 14:194-198
Publication Year :
2006
Publisher :
Institute of Electrical and Electronics Engineers (IEEE), 2006.

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.

Details

ISSN :
15580210 and 15344320
Volume :
14
Database :
OpenAIRE
Journal :
IEEE Transactions on Neural Systems and Rehabilitation Engineering
Accession number :
edsair.doi.dedup.....11c268811c74e55617f73b49b40ac9da
Full Text :
https://doi.org/10.1109/tnsre.2006.875536