An empirical quantitative EEG analysis for evaluating clinical brain death

Annu Int Conf IEEE Eng Med Biol Soc. 2007;2007:3880-3. doi: 10.1109/IEMBS.2007.4353180.


In this paper, we apply qualitative tools and quantitative analysis for the EEG recordings of 23 adult patients. Specifically, independent component analysis (ICA) was applied to separate independent source components, followed by spectrum analysis. In terms of quantitative EEG analysis, we use several complexity measures to evaluate the differences between two groups of patients: the subjects in deep coma, and the subjects who were prejudged as brain death. For the first time, we report statistically significant differences of quantitative statistics in such a clinical study. The empirical results reported in this paper suggest some promising directions and valuable clues for clinical practice.

Publication types

  • Comparative Study
  • Research Support, Non-U.S. Gov't

MeSH terms

  • Adolescent
  • Adult
  • Aged
  • Aged, 80 and over
  • Brain Death / diagnosis*
  • Brain Death / physiopathology*
  • Electroencephalography*
  • Female
  • Humans
  • Male
  • Middle Aged
  • Predictive Value of Tests