A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy

@article{Lhmann2019ANB,
  title={A new blind source separation framework for signal analysis and artifact rejection in functional Near-Infrared Spectroscopy},
  author={Alexander von L{\"u}hmann and Zois Boukouvalas and Klaus-Robert M{\"u}ller and T. Adalı},
  journal={NeuroImage},
  year={2019},
  volume={200},
  pages={72-88}
}
In the analysis of functional Near-Infrared Spectroscopy (fNIRS) signals from real-world scenarios, artifact rejection is essential. However, currently there exists no gold-standard. Although a plenitude of methodological approaches implicitly assume the presence of latent processes in the signals, elaborate Blind-Source-Separation methods have rarely been applied. A reason are challenging characteristics such as Non-instantaneous and non-constant coupling, correlated noise and statistical… Expand
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