Using a Noninvasive Decoding Method to Classify Rhythmic Movement Imaginations of the Arm in Two Planes

@article{Ofner2015UsingAN,
  title={Using a Noninvasive Decoding Method to Classify Rhythmic Movement Imaginations of the Arm in Two Planes},
  author={Patrick Ofner and Gernot R. M{\"u}ller-Putz},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2015},
  volume={62},
  pages={972-981}
}
A brain-computer interface (BCI) can help to overcome movement deficits in persons with spinal-cord injury. Ideally, such a BCI detects detailed movement imaginations, i.e., trajectories, and transforms them into a control signal for a neuroprosthesis or a robotic arm restoring movement. Robotic arms have already been controlled successfully by means of invasive recording techniques, and executed movements have been reconstructed using noninvasive decoding techniques. However, it is unclear if… CONTINUE READING
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