基于盲信号分离的脑电数据分析作为判定脑死亡的前测

Y. Konno, Jianting Cao, Yang Cao, Fanji Gu, M. Tanaka
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引用次数: 1

摘要

脑死亡的诊断是根据精确的标准和明确的过程做出的。由于脑死亡的判定过程通常耗时长、风险高,如在呼吸暂停试验中需要取出呼吸机,因此希望开发一种实用、安全、快速的方法作为脑死亡判定的前试验。在本文中,我们提出了一种实用的脑电图检查方法,结合无标度盲信号分离方法,用于脑死亡判定的预测试。通过对患者脑电图数据的分析,可以区分深度昏迷患者和脑死亡患者。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Analysis of EEG Data based on the Blind Signal Separation as the Pre-Test of the Determination of Brain Death
A diagnosis of brain death is made according to precise criteria and in a well-defined process. Since the determination process of brain death usually takes long time and with a high risk, such as removing a breath machine in an apnea test, a practical, safety and rapid method is expected to be developed as the pre-test of the determination of brain death. In this paper, we propose a practical EEG examination method associated with a scale-free approach of blind signal separation for the pre-testing of the brain death determination. Through the analysis of the patient's EEG data by our proposed approach, a deep-coma patient or a brain death patient can be distinguished.
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