Electrocorticography-based brain computer interface - The Seattle experience

被引:153
作者
Leuthardt, Eric C. [1 ]
Miller, Kai J.
Schalk, Gerwin
Rao, Rajesh P. N.
Ojemann, Jeffrey G.
机构
[1] Univ Washington, Sch Med, Dept Neurol Surg, Seattle, WA 98104 USA
[2] Univ Washington, Dept Phys, Seattle, WA 98195 USA
[3] New York State Dept Hlth, Wadsworth Ctr Labs & Res, Albany, NY 12201 USA
[4] Rensselaer Polytech Inst, Dept Elect Comp & Syst Engn, Troy, NY 12202 USA
[5] Univ Washington, Dept Comp Sci, Seattle, WA 98195 USA
关键词
brain-computer interface (BCI); brain-machine interface (BMI); neuroprosthetics;
D O I
10.1109/TNSRE.2006.875536
中图分类号
R318 [生物医学工程];
学科分类号
0831 ;
摘要
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.
引用
收藏
页码:194 / 198
页数:5
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