Decoding two-dimensional movement trajectories using electrocorticographic signals in humans

@article{Schalk2007DecodingTM,
  title={Decoding two-dimensional movement trajectories using electrocorticographic signals in humans},
  author={Gerwin Schalk and Jan Kubanek and Kai J. Miller and Nicholas R. Anderson and Eric C. Leuthardt and Jeffrey G. Ojemann and David D. Limbrick and Daniel W. Moran and Lester A. Gerhardt and Jonathan R. Wolpaw},
  journal={Journal of Neural Engineering},
  year={2007},
  volume={4},
  pages={264 - 275}
}
Signals from the brain could provide a non-muscular communication and control system, a brain–computer interface (BCI), for people who are severely paralyzed. A common BCI research strategy begins by decoding kinematic parameters from brain signals recorded during actual arm movement. It has been assumed that these parameters can be derived accurately only from signals recorded by intracortical microelectrodes, but the long-term stability of such electrodes is uncertain. The present study… 

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