Removing electroencephalographic artifacts by blind source separation.

@article{Jung2000RemovingEA,
  title={Removing electroencephalographic artifacts by blind source separation.},
  author={Tzyy-Ping Jung and Scott Makeig and Colin J. Humphries and T. W. Lee and Martin J. McKeown and Vicente J. Iragui and Terrence J. Sejnowski},
  journal={Psychophysiology},
  year={2000},
  volume={37 2},
  pages={
          163-78
        }
}
Eye movements, eye blinks, cardiac signals, muscle noise, and line noise present serious problems for electroencephalographic (EEG) interpretation and analysis when rejecting contaminated EEG segments results in an unacceptable data loss. Many methods have been proposed to remove artifacts from EEG recordings, especially those arising from eye movements and blinks. Often regression in the time or frequency domain is performed on parallel EEG and electrooculographic (EOG) recordings to derive… 

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