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Analysis of the Quasi-Brain-Death EEG Data Based on a Robust ICA Approach

  • Jianting Cao
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4253)

Abstract

The brain-death is defined as the cessation and irreversibility of all brain and brain-stem function. A brain-death diagnosis is made according to precise criteria and in a well-defined process. Since the process of brain-death determination usually takes a longer time and with a risk (e.g. shortly remove the breath machine in a spontanuous respiration test), therefore, a practical, safety and rapid method is expected to be developed in the pre-test of the quasi-brain-death patient. This paper presents a practical EEG examination method associated with a robust data analysis method for the pre-testing of a quasi-brain-death patient. The developed EEG examination method is applied in the bedside of patient using a small number of electrods. The developed single-trial data analysis method is used to reduce the power of additive noise and to decompose the overlapped brain and interference signals.

Keywords

Independent Component Analysis Brain Death Independent Component Analysis Data Analysis Method Independent Component Analysis Method 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

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    Cao, J., Murata, N., Amari, S., Cichocki, A., Takeda, T.: A Robust Approach to Independent Component Analysis with High-Level Noise Measurements. IEEE Trans. on Neural Networks 14(3), 631–645 (2003)CrossRefGoogle Scholar
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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Jianting Cao
    • 1
    • 2
  1. 1.Department of Electronic EngineeringSaitama Institute of TechnologySaitamaJapan
  2. 2.The Lab. for Advanced Brain Signal ProcessingBrain Science Institute, RIKENSaitamaJapan

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