Decoding repetitive finger movements with brain activity acquired via non-invasive electroencephalography

@inproceedings{Paek2014DecodingRF,
  title={Decoding repetitive finger movements with brain activity acquired via non-invasive electroencephalography},
  author={Andrew Y. Paek and Harshavardhan A. Agashe and Jos{\'e} Luis Contreras-Vidal},
  booktitle={Front. Neuroeng.},
  year={2014}
}
We investigated how well repetitive finger tapping movements can be decoded from scalp electroencephalography (EEG) signals. A linear decoder with memory was used to infer continuous index finger angular velocities from the low-pass filtered fluctuations of the amplitude of a plurality of EEG signals distributed across the scalp. To evaluate the accuracy of the decoder, the Pearson's correlation coefficient (r) between the observed and predicted trajectories was calculated in a 10-fold cross… CONTINUE READING
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