Relevant EEG features for the classification of spontaneous motor-related tasks

@article{Milln2002RelevantEF,
  title={Relevant EEG features for the classification of spontaneous motor-related tasks},
  author={Jos{\'e} del R. Mill{\'a}n and Marco Franz{\'e} and Josep Mouri{\~n}o and Febo Cincotti and Fabio Babiloni},
  journal={Biological Cybernetics},
  year={2002},
  volume={86},
  pages={89-95}
}
 There is a growing interest in the use of physiological signals for communication and operation of devices for the severely motor disabled as well as for healthy people. A few groups around the world have developed brain-computer interfaces (BCIs) that rely upon the recognition of motor-related tasks (i.e., imagination of movements) from on-line EEG signals. In this paper we seek to find and analyze the set of relevant EEG features that best differentiate spontaneous motor-related mental tasks… CONTINUE READING
56 Citations
21 References
Similar Papers

Citations

Publications citing this paper.
Showing 1-10 of 56 extracted citations

References

Publications referenced by this paper.
Showing 1-10 of 21 references

Similar Papers

Loading similar papers…