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Extraction of Sleep-Spindles from the Electroencephalogram (EEG)

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Artificial Neural Networks in Medicine and Biology

Part of the book series: Perspectives in Neural Computing ((PERSPECT.NEURAL))

Abstract

Independent component analysis (ICA) is a powerful tool for separating signals from their observed mixtures. This area of research has produced many varied algorithms and approaches to the solution of this problem. The majority of these methods adopt a truly blind approach and disregard available a priori information in order to extract the original sources or a specific desired signal. In this contribution we propose a fixed point algorithm which utilizes a priori information in finding a specified signal of interest from the sensor measurements. This technique is applied to the extraction and channel isolation of sleep spindles from a multi-channel electroencephalograph (EEG).

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References

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Author information

Authors and Affiliations

  1. Bio-mimetic Control Research Center, RIKEN, 2271-130, Anagahora, Shimoshidami, Moriyama-ku, Nagoya 463, Japan

    Allan Kardec Barros

  2. Department of Computing and Information Systems, University of Paisley, Paisley, PA1 2BE, Scotland

    Roman Rosipal & Mark Girolami

  3. Dept. of Medical Cybernetics and Artificial Intelligence, University of Vienna, Freyung 6/2, A-1010, Vienna, Austria

    Georg Dorffner

  4. Austrian Research Institute for Artificial Intelligence, Schottengasse 3, A-1010, Vienna, Austria

    Georg Dorffner

  5. Bio-mimetic Control Research Center, RIKEN, 2271-130, Anagahora, Shimoshidami, Moriyama-ku, Nagoya 463, Japan

    Noboru Ohnishi

Authors
  1. Allan Kardec Barros
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  2. Roman Rosipal
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  3. Mark Girolami
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  4. Georg Dorffner
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  5. Noboru Ohnishi
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Editor information

Editors and Affiliations

  1. Department of Philosophy, Göteborg University, Box 200, SE-405 30, Göteborg, Sweden

    Helge Malmgren BA, PhD, MD

  2. Department of Electrical Engineering, Linköping University, SE-585 83, Linköping, Sweden

    Magnus Borga MSc, PhD

  3. Department of Computer Science, University of Skövde, PO Box 408, SE-541 28, Skövde, Sweden

    Lars Niklasson BSc, MSc, PhD

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© 2000 Springer-Verlag London

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Cite this paper

Barros, A.K., Rosipal, R., Girolami, M., Dorffner, G., Ohnishi, N. (2000). Extraction of Sleep-Spindles from the Electroencephalogram (EEG). In: Malmgren, H., Borga, M., Niklasson, L. (eds) Artificial Neural Networks in Medicine and Biology. Perspectives in Neural Computing. Springer, London. https://doi.org/10.1007/978-1-4471-0513-8_17

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  • DOI: https://doi.org/10.1007/978-1-4471-0513-8_17

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-289-1

  • Online ISBN: 978-1-4471-0513-8

  • eBook Packages: Springer Book Archive

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