Nonstationary Brain Source Separation for Multiclass Motor Imagery

@article{GouyPailler2010NonstationaryBS,
  title={Nonstationary Brain Source Separation for Multiclass Motor Imagery},
  author={C{\'e}dric Gouy-Pailler and Marco Congedo and Clemens Brunner and Christian Jutten and Gert Pfurtscheller},
  journal={IEEE Transactions on Biomedical Engineering},
  year={2010},
  volume={57},
  pages={469-478}
}
This paper describes a method to recover task-related brain sources in the context of multiclass brain--computer interfaces (BCIs) based on noninvasive EEG. We extend the method joint approximate diagonalization (JAD) for spatial filtering using a maximum likelihood framework. This generic formulation: 1) bridges the gap between the common spatial patterns (CSPs) and blind source separation of nonstationary sources; and 2) leads to a neurophysiologically adapted version of JAD, accounting for… CONTINUE READING
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