Error potential detection during continuous movement of an artificial arm controlled by brain–computer interface

@article{Kreilinger2011ErrorPD,
  title={Error potential detection during continuous movement of an artificial arm controlled by brain–computer interface},
  author={Alex Kreilinger and Christa Neuper and Gernot R. M{\"u}ller-Putz},
  journal={Medical & Biological Engineering & Computing},
  year={2011},
  volume={50},
  pages={223-230}
}
Patients who benefit from Brain–Computer Interfaces (BCIs) may have difficulties to generate more than one distinct brain pattern which can be used to control applications. Other BCI issues are low performance, accuracy, and, depending on the type of BCI, a long preparation and/or training time. This study aims to show possible solutions. First, we used time-coded motor imagery (MI) with only one pattern. Second, we reduced the training time by recording only 20 trials of active MI to set up a… CONTINUE READING

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