Abstract
We are developing an electroencephalographic (EEG)-based brain-computer interface (BCI) system that could provide an alternative communication channel for those who are totally paralyzed or have other severe motor impairments. The essential features of this system are as follows: (1) EEG analysis in real time, (2) real-time conversion of that analysis into device control, and (3) appropriate adaptation to the EEG of each user. Digital signal processing technology provides the speed and flexibility needed to satisfy these requirements. It also supports evaluation of alternative analysis and control algorithms, and thereby facilitates further BCI development.
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We thank Lynn McCane and Theresa M. Vaughan for excellent technical assistance and Gregory W. Neat for his important contributions to software design. This work was supported in part by the National Center for Medical Rehabilitation Research of the National Institute of Child Health and Human Development (Grant HD30146).
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McFarland, D.J., Lefkowicz, A.T. & Wolpaw, J.R. Design and operation of an EEG-based brain-computer interface with digital signal processing technology. Behavior Research Methods, Instruments, & Computers 29, 337–345 (1997). https://doi.org/10.3758/BF03200585
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DOI: https://doi.org/10.3758/BF03200585