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Blind source separation and chaotic analysis of EEG for judgment of brain death

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Abstract

A judgment of brain death based on flat electroencephalogram (EEG) criteria has been found to be difficult because signals from the heart action and line noise contaminate EEG signals. Blind source separation is a good way to eliminate such contamination from EEG signals. This paper proposes the use of the Lyapunov exponent and the Wayland test of EEG signals, together with a blind source separation method, to assist in judgments of brain death.

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Authors and Affiliations

  1. Laboratory for Advanced Brain Signal Processing, Brain Science Institute, RIKEN, 2-1 Hirosawa, Wako, 351-0198, Saitama, Japan

    Gen Hori

  2. Department of Mathematical Engineering, University of Tokyo, Tokyo, Japan

    Kazuyuki Aihara & Yoshikuni Mizuno

  3. School of Medicine, Juntendo University, Tokyo, Japan

    Yasuyuki Okuma

Authors
  1. Gen Hori
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  2. Kazuyuki Aihara
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  3. Yoshikuni Mizuno
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  4. Yasuyuki Okuma
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Corresponding author

Correspondence to Gen Hori.

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Hori, G., Aihara, K., Mizuno, Y. et al. Blind source separation and chaotic analysis of EEG for judgment of brain death. Artif Life Robotics 5, 10–14 (2001). https://doi.org/10.1007/BF02481314

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  • DOI: https://doi.org/10.1007/BF02481314

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