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The Method for Increasing of EEG Signal Sample Entropy Stability and its Application for Human State Monitoring

机译:增加EEG信号样本熵稳定性的方法及其对人类国家监测的应用

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摘要

New approach for calculation of electroencephalogram Sample Entropy, experimental data and peculiarities of its interpretation are presented. Main aim of the research to formulate rules that allow to use Sample Entropy in human state monitoring by electroencephalogram more efficiently and give new information about electroencephalogram signal that can be useful for different researchers. This method is suitable for any non-linear, non-stationary signals with a chaotic nature. Moreover, it is recommended for descrying as additional technique for other entropy-based methods.
机译:介绍了脑电图的新方法,提出了其解释的实验数据和特殊性。研究的主要目的是制定允许使用脑电图中的样本熵通过脑电图使用样品熵的规则更有效地提供关于脑电图信号的新信息,这对于不同的研究人员来说是有用的。该方法适用于具有混沌性质的任何非线性非静止信号。此外,建议描述作为基于熵的方法的额外技术。

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