Noise reduction in functional near-infrared spectroscopy signals by independent component analysis.

@article{Santosa2013NoiseRI,
  title={Noise reduction in functional near-infrared spectroscopy signals by independent component analysis.},
  author={Hendrik Santosa and Melissa Jiyoun Hong and Sung-Phil Kim and Keum-shik Hong},
  journal={The Review of scientific instruments},
  year={2013},
  volume={84 7},
  pages={073106}
}
Functional near-infrared spectroscopy (fNIRS) is used to detect concentration changes of oxy-hemoglobin and deoxy-hemoglobin in the human brain. The main difficulty entailed in the analysis of fNIRS signals is the fact that the hemodynamic response to a specific neuronal activation is contaminated by physiological and instrument noises, motion artifacts, and other interferences. This paper proposes independent component analysis (ICA) as a means of identifying the original hemodynamic response… CONTINUE READING
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