EEG data analysis based on EMD for coma and quasi-brain-death patients
EEG data analysis based on EMD for coma and quasi-brain-death patients
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DOI：
10.1080/0952813x.2010.506289
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发表时间：
2011-01-01
影响因子：
2.2
通讯作者：
Zhu, Huili
中科院分区：
文献类型：
--
作者：
Shi, Qiwei;Yang, Juhong;Zhu, Huili
脑电图（EEG）被广泛用于评估大脑皮层功能缺失，以确定脑死亡。由于脑电图记录信号经常受到一些伪影和各种干扰噪声的干扰，因此从噪声脑电图信号中提取活跃或非活跃特征并评估其意义在脑死亡诊断过程中至关重要。本文提出了一种基于脑电图的初步检查系统，结合经验模式分解（EMD）技术，从实际记录的临床脑电图数据中提取信息丰富的脑活动特征。此外，应用功率谱技术评价昏迷组与准脑死亡组之间的显著性差异。实验结果表明了EMD方法在临床脑电分析中的有效性和应用前景。
Electroencephalography (EEG) is widely used in evaluating the absence of cerebral cortex function for the determination of brain death. Since EEG recorded signal is always corrupted by some artefacts and various interfering noise, extracting active or nonactive features from noisy EEG signals and evaluating their significance is therefore crucial in the process of brain death diagnosis. This article presents an EEG-based preliminary examination system associated with empirical mode decomposition (EMD) technique to extract informative brain activity features from real-world recorded clinical EEG data. Moreover, the power spectrum technique is applied to evaluate the significant differences between the group of comatose patients and the group of quasi-brain-deaths. Our experimental results show effectiveness and some promising directions of applying the EMD method to the clinical EEG analysis.