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Independent component analysis of human brain waves

  • Bio-inspired Systems
  • Conference paper
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Engineering Applications of Bio-Inspired Artificial Neural Networks (IWANN 1999)

Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1607))

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Abstract

Recent years have seen a considerable increase in knowledge about the human brain, both in the understanding of some of the most basic human processing systems, and in the eleboration of efficient computational neuroscience models. In a bootstrapping (reinforced) manner, the discoveries made on the human brain are leading into the formulation of more efficient computational methods which in turn make it possible to design new signal processing tools for better extracting information from brain data.

In this paper, we will review one of such signal processing tools, the independent component analysis (ICA), that belongs to the class of artificial neural networks. It will be shown how this technique suits the problem of artifact detection, and removal, both in electroencephalographic and magnetoencephalographic recordings. Furthermore, when applied to the evoked field paradigm, ICA separates the complex brain responses into simpler components than the conventional principal component analysis (PCA) approach. This sparse division may lead to an improvement in the interpretation of such event related signals.

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Authors and Affiliations

  1. Lab. of Computer & Info. Science, Helsinki University of Technology, P.O. Box 5400, FIN-02015, HUT, Finland

    Ricardo Vigário & Erkki Oja

Authors
  1. Ricardo Vigário
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  2. Erkki Oja
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José Mira Juan V. Sánchez-Andrés

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© 1999 Springer-Verlag Berlin Heidelberg

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Vigário, R., Oja, E. (1999). Independent component analysis of human brain waves. In: Mira, J., Sánchez-Andrés, J.V. (eds) Engineering Applications of Bio-Inspired Artificial Neural Networks. IWANN 1999. Lecture Notes in Computer Science, vol 1607. Springer, Berlin, Heidelberg . https://doi.org/10.1007/BFb0100490

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  • DOI: https://doi.org/10.1007/BFb0100490

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-66068-2

  • Online ISBN: 978-3-540-48772-2

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