Joint BSS as a natural analysis framework for EEG-hyperscanning

@article{ChatelGoldman2013JointBA,
  title={Joint BSS as a natural analysis framework for EEG-hyperscanning},
  author={Jonas Chatel-Goldman and Marco Congedo and Ronald Phlypo},
  journal={2013 IEEE International Conference on Acoustics, Speech and Signal Processing},
  year={2013},
  pages={1212-1216}
}
Recent advances in Joint Blind Source Separation (JBSS) extend the BSS framework to the simultaneous source separation of multiple datasets. In this paper we provide a comparative study of four such JBSS algorithms on human dual-electroencephalographic (dual-EEG) data. Appropriateness of second order JBSS is demonstrated for concurrent estimation of correlated sources in a multi-subject synchronous steady-state visually evoked potentials experiment. This approach gives a new starting point for… CONTINUE READING