RPCA-Based Noise Suppression in MEG Measurement for Improving Bio-Electromagnetic Source Estimation

@article{Luan2013RPCABasedNS,
  title={RPCA-Based Noise Suppression in MEG Measurement for Improving Bio-Electromagnetic Source Estimation},
  author={Feng Luan and Jong-Ho Choi and Hyun-Kyo Jung},
  journal={IEEE Transactions on Magnetics},
  year={2013},
  volume={49},
  pages={1585-1588}
}
Magnetoencephalography (MEG) is a promising technology, which could be used in a variety of biomedical applications. However, MEG electromagnetic measurement is usually degraded by noise. Noise suppression in MEG measurement is particularly challenging because it is difficult to remove the noise and preserve the information components in the MEG data. In this study, a novel noise suppression method, based on robust principal component analysis (RPCA) technique, is presented and applied to the… CONTINUE READING