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

机译:基于鲁棒ICA方法的准脑死亡EEG数据分析

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摘要

The brain-death is defined as the cessation and irreversibil-ity 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.
机译:脑死亡定义为所有脑和脑干功能的停止和不可逆性。根据精确的标准并以明确的过程进行脑死亡诊断。由于确定脑死亡的过程通常会花费较长的时间,并且存在一定的风险(例如,在自发性呼吸测试中不久将呼吸机移开),因此,有望在预测试中开发出一种实用,安全且快速的方法准脑死亡患者本文提出了一种实用的脑电图检查方法,并结合了可靠的数据分析方法来对准脑死亡患者进行预测试。发达的脑电图检查方法使用少量电极在患者床旁使用。所开发的单次试验数据分析方法用于降低加性噪声的功率,并分解重叠的大脑和干扰信号。

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