Automatic determination of EMG-contaminated components and validation of independent component analysis using EEG during pharmacologic paralysis.

@article{Fitzgibbon2016AutomaticDO,
  title={Automatic determination of EMG-contaminated components and validation of independent component analysis using EEG during pharmacologic paralysis.},
  author={Sean P. Fitzgibbon and Dylan DeLosAngeles and Trent W. Lewis and David M. W. Powers and T. S. Grummett and Emma M. Whitham and Lawrence M Ward and John O. Willoughby and Kenneth J. Pope},
  journal={Clinical neurophysiology : official journal of the International Federation of Clinical Neurophysiology},
  year={2016},
  volume={127 3},
  pages={1781-93}
}
OBJECTIVE Validate independent component analysis (ICA) for removal of EMG contamination from EEG, and demonstrate a heuristic, based on the gradient of EEG spectra (slope of graph of log EEG power vs log frequency, 7-70 Hz) from paralysed awake humans, to automatically identify and remove components that are predominantly EMG. METHODS We studied the… CONTINUE READING