From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach.

@article{MllerPutz2016FromCM,
  title={From classic motor imagery to complex movement intention decoding: The noninvasive Graz-BCI approach.},
  author={Gernot R. M{\"u}ller-Putz and Angelika Maria Schwarz and Joana Pereira and Patrick Ofner},
  journal={Progress in brain research},
  year={2016},
  volume={228},
  pages={
          39-70
        }
}
In this chapter, we give an overview of the Graz-BCI research, from the classic motor imagery detection to complex movement intentions decoding. We start by describing the classic motor imagery approach, its application in tetraplegic end users, and the significant improvements achieved using coadaptive brain-computer interfaces (BCIs). These strategies have the drawback of not mirroring the way one plans a movement. To achieve a more natural control-and to reduce the training time-the… CONTINUE READING
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