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Reply to 'Comment on 'Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy''

机译:回复“关于'多尺度熵阿尔茨海默氏病患者脑电图分析”的评论”

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We appreciate the interest of Dr Tang in our article. Certainly, our previous results should be taken with caution due to the small database size. Nevertheless, it must be noted that this limitation was clearly recognized in our article. Furthermore, our hypothesis is completely justified from the current state of the art in the analysis of electroencephalogram (EEG) signals from Alzheimer's disease (AD) patients. We evaluated whether the multiscale entropy (MSE) analysis of the EEG background activity was useful to distinguish AD patients and controls. We do believe that further discussions about risk factors or related clinicophysiological protein aspects are clearly beyond the scope of our article. For the sake of completeness, we now detail some results that complement our previous analysis. They suggest that the MSE analysis can provide relevant information about the dynamics of AD patients' EEG data. Thus, we must reaffirm our conclusions, although we again acknowledge that further studies are needed.
机译:我们感谢唐博士对本文的关注。当然,由于数据库较小,因此我们应谨慎对待以前的结果。但是,必须指出,此限制在我们的文章中已得到明确认识。此外,我们的假设从阿尔茨海默氏病(AD)患者的脑电图(EEG)信号分析中的最新技术水平是完全合理的。我们评估了脑电图本底活动的多尺度熵(MSE)分析是否可用于区分AD患者和对照。我们确实相信,关于危险因素或相关临床生理蛋白方面的进一步讨论显然超出了本文的范围。为了完整起见,我们现在详细介绍一些补充我们先前分析的结果。他们认为,MSE分析可以提供有关AD患者脑电数据动态的相关信息。因此,尽管我们再次承认需要进一步研究,但我们必须重申我们的结论。

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