Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans

@article{Wbbeler2000IndependentCA,
  title={Independent component analysis of noninvasively recorded cortical magnetic DC-fields in humans},
  author={Gerd W{\"u}bbeler and Andreas Ziehe and Bruno-Marcel Mackert and Klaus-Robert M{\"u}ller and Lutz Trahms and Gabriel Curio},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2000},
  volume={47},
  pages={594-599}
}
We apply a recently developed multivariate statistical data analysis technique-so called blind source separation (BSS) by independent component analysis-to process magnetoencephalogram recordings of near-DC fields. The extraction of near-DC fields from MEG recordings has great relevance for medical applications since slowly varying DC-phenomena have been found, e.g., in cerebral anoxia and spreading depression in animals. Comparing several BSS approaches, it turns out that an algorithm based on… CONTINUE READING
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