Brain-computer interface signal processing at the Wadsworth Center: mu and sensorimotor beta rhythms

被引:61
|
作者
McFarland, Dennis J. [1 ]
Krusienski, Dean J.
Wolpaw, Jonathan R.
机构
[1] New York State Dept Hlth, Wadsworth Ctr, Lab Nervous Syst Disorders, Albany, NY 12201 USA
[2] SUNY Albany, Albany, NY 12201 USA
关键词
BCI; adaptation; signal processing;
D O I
10.1016/S0079-6123(06)59026-0
中图分类号
Q189 [神经科学];
学科分类号
071006 ;
摘要
The Wadsworth brain-computer interface (BCI), based on mu and beta sensorimotor rhythms, uses one- and two-dimensional cursor movement tasks and relies on user training. This is a real-time closed-loop system. Signal processing consists of channel selection, spatial filtering, and spectral analysis. Feature translation uses a regression approach and normalization. Adaptation occurs at several points in this process on the basis of different criteria and methods. It can use either feedforward (e.g., estimating the signal mean for normalization) or feedback control (e.g., estimating feature weights for the prediction equation). We view this process as the interaction between a dynamic user and a dynamic system that coadapt over time. Understanding the dynamics of this interaction and optimizing its performance represent a major challenge for BCI research.
引用
收藏
页码:411 / 419
页数:9
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