Analysis of the quasi-brain-death EEG data based on a robust ICA approach

Authors:
Jianting Cao
Affiliations:
Department of Electronic Engineering, Saitama Institute of Technology, Saitama, Japan
Venue:
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Year:
2006

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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.