Online recursive independent component analysis for real-time source separation of high-density EEG

@article{Hsu2014OnlineRI,
  title={Online recursive independent component analysis for real-time source separation of high-density EEG},
  author={Sheng-Hsiou Hsu and Tim R. Mullen and Tzyy-Ping Jung and Gert Cauwenberghs},
  journal={2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society},
  year={2014},
  pages={3845-3848}
}
Online Independent Component Analysis (ICA) algorithms have recently seen increasing development and application across a range of fields, including communications, biosignal processing, and brain-computer interfaces. However, prior work in this domain has primarily focused on algorithmic proofs of convergence, with application limited to small `toy' examples or to relatively low channel density EEG datasets. Furthermore, there is limited availability of computationally efficient online ICA… CONTINUE READING

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