Automagic: Standardized preprocessing of big EEG data

@article{Pedroni2019AutomagicSP,
  title={Automagic: Standardized preprocessing of big EEG data},
  author={A. Pedroni and A. Bahreini and N. Langer},
  journal={NeuroImage},
  year={2019},
  volume={200},
  pages={460-473}
}
Electroencephalography (EEG) recordings have been rarely included in large-scale studies. This is arguably not due to a lack of information that lies in EEG recordings but mainly on account of methodological issues. In many cases, particularly in clinical, pediatric and aging populations, the EEG has a high degree of artifact contamination and the quality of EEG recordings often substantially differs between subjects. Although there exists a variety of standardized preprocessing methods to… Expand
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References

SHOWING 1-10 OF 63 REFERENCES
FASTER: Fully Automated Statistical Thresholding for EEG artifact Rejection
  • 587
  • PDF
Removing electroencephalographic artifacts by blind source separation.
  • 2,596
  • PDF
Signal Quality Evaluation of Emerging EEG Devices
  • T. Radüntz
  • Computer Science, Medicine
  • Front. Physiol.
  • 2018
  • 37
...
1
2
3
4
5
...