Automatic removal of high-amplitude artefacts from single-channel electroencephalograms

@article{Teixeira2006AutomaticRO,
  title={Automatic removal of high-amplitude artefacts from single-channel electroencephalograms},
  author={Ana R. Teixeira and Ana Maria Tom{\'e} and Elmar Wolfgang Lang and Peter Gruber and Ant{\'o}nio Martins da Silva},
  journal={Computer methods and programs in biomedicine},
  year={2006},
  volume={83 2},
  pages={125-38}
}
In this work, we present a method to extract high-amplitude artefacts from single channel electroencephalogram (EEG) signals. The method is called local singular spectrum analysis (local SSA). It is based on a principal component analysis (PCA) applied to clusters of the multidimensional signals obtained after embedding the signals in their time-delayed coordinates. The decomposition of the multidimensional signals in each cluster is achieved by relating the largest eigenvalues with the large… CONTINUE READING
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