Noise reduction in magnetocardiography by singular value decomposition and independent component analysis

@article{DiPietroPaolo2006NoiseRI,
  title={Noise reduction in magnetocardiography by singular value decomposition and independent component analysis},
  author={D. DiPietroPaolo and H.-P. M{\"u}ller and G. Nolte and S. N. Ern{\'e}},
  journal={Medical and Biological Engineering and Computing},
  year={2006},
  volume={44},
  pages={489-499}
}
In the routine recording of magnetocardiograms (MCGs), it is necessary to underline the problem of noise cancellation. Source separation has often been suggested to solve this problem. In this paper, blind source separation (BSS), by means of singular value decomposition (SVD) and independent component analysis (ICA), was used for noise reduction in MCG… CONTINUE READING