A subband-based information measure of EEG during brain injury and recovery after cardiac arrest.

A subband-based information measure of EEG during brain injury and recovery after cardiac arrest.
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DOI:
10.1109/tbme.2008.921093
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发表时间:
2008-08
期刊:
IEEE transactions on bio-medical engineering
影响因子:
--
通讯作者:
Thakor Ast NV
Thakor Ast NV
中科院分区:
其他
文献类型:
--
作者:
Shin HC;Jia X;Nickl R;Geocadin RG;Thakor Ast NV

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我们提出了一种改进的定量测量脑损伤和心脏骤停后恢复的脑电图。在我们以前的研究中,我们提出了一种测量,信息量(IQ),检测温度操纵对头皮记录的EEG信号的早期影响。IQ在从delta到gamma的全频带中结合了小波变换和香农熵。与IQ不同,这里我们分别计算每个子带中的IQ,即,新的度量是每个子带中的IQ。我们称之为子带IQ(SIQ)。我们证明了所提出的方法的性能,通过比较SIQ与IQ的meausres预测实际神经系统的结果。使用了13只大鼠,基于7分钟心脏骤停。实验结果表明,所提出的措施是更高度相关的神经结果比智商。
We propose an improved quantitative measure of EEG during brain injury and recovery after cardiac arrest. In our previous studies, we proposed a measure, information quantity (IQ), to detect the early effects of temperature manipulation on the EEG signals recorded from the scalp. IQ incorporates the wavelet transform and the Shannon entropy in full bands from delta to gamma. Unlike IQ, here we separately calculate IQ in each subband, i.e., the new measure is IQ in each subband. We will call it subband IQ (SIQ). We demonstrate the performance of the proposed method by comparing SIQ with IQ in terms of how well the meausres predict actual neurological outcomes. Thirteen rats, based on 7-min cardiac arrest were used. The experimental results show that the proposed measure was more highly correlated to neurological outcome than IQ.