Automatic differentiation of multichannel EEG signals

@article{Peters2001AutomaticDO,
  title={Automatic differentiation of multichannel EEG signals},
  author={Bj{\"o}rn O. Peters and Gert Pfurtscheller and Henrik Flyvbjerg},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2001},
  volume={48},
  pages={111-116}
}
Intention of movement of left or right index finger, or right foot is recognized in electroencephalograms (EEGs) from three subjects. The authors present a multichannel classification method that uses a "committee" of artificial neural networks to do this. The classification method automatically finds spatial regions on the skull relevant for the classification task. Depending on subject, correct recognition of intended movement was achieved in 75%-98% of trials not seen previously by the… CONTINUE READING
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