Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements From Electroencephalogram Signals

@article{Kim2015DecodingTT,
  title={Decoding Three-Dimensional Trajectory of Executed and Imagined Arm Movements From Electroencephalogram Signals},
  author={Jeong-Hun Kim and Felix Biessmann and Seong-Whan Lee},
  journal={IEEE Transactions on Neural Systems and Rehabilitation Engineering},
  year={2015},
  volume={23},
  pages={867-876}
}
Decoding motor commands from noninvasively measured neural signals has become important in brain-computer interface (BCI) research. Applications of BCI include neurorehabilitation after stroke and control of limb prostheses. Until now, most studies have tested simple movement trajectories in two dimensions by using constant velocity profiles. However, most real-world scenarios require much more complex movement trajectories and velocity profiles. In this study, we decoded motor commands in… CONTINUE READING

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