Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals

@article{Barbati2004OptimizationOA,
  title={Optimization of an independent component analysis approach for artifact identification and removal in magnetoencephalographic signals},
  author={Giulia Barbati and Camillo Porcaro and Filippo Zappasodi and Paolo Maria Rossini and Franca Tecchio},
  journal={Clinical Neurophysiology},
  year={2004},
  volume={115},
  pages={1220-1232}
}
OBJECTIVE To propose a noise reduction procedure for magnetoencephalography (MEG) signals introducing an automatic detection system of artifactual components (ICs) separated by an independent component analysis (ICA) algorithm, and a control cycle on reconstructed cleaned data to recovery part of non-artifactual signals possibly lost by the blind mechanism. METHODS The procedure consisted of three main steps: (1) ICA for blind source separation (BSS); (2) automatic detection method of… CONTINUE READING
Highly Influential
This paper has highly influenced 22 other papers. REVIEW HIGHLY INFLUENTIAL CITATIONS

Citations

Publications citing this paper.
Showing 1-10 of 128 extracted citations

Similar Papers

Loading similar papers…