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.
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© 2006 Springer-Verlag Berlin Heidelberg
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Cao, J. (2006). Analysis of the Quasi-Brain-Death EEG Data Based on a Robust ICA Approach. In: Gabrys, B., Howlett, R.J., Jain, L.C. (eds) Knowledge-Based Intelligent Information and Engineering Systems. KES 2006. Lecture Notes in Computer Science(), vol 4253. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11893011_157
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DOI: https://doi.org/10.1007/11893011_157
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-46542-3
Online ISBN: 978-3-540-46544-7
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