Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy

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Analysis of electroencephalograms in Alzheimer's disease patients with multiscale entropy.

The aim of this study was to analyse the electroencephalogram (EEG) background activity of Alzheimer's disease (AD) patients using multiscale entropy (MSE). MSE is a recently developed method that quantifies the regularity of a signal on different time scales. These time scales are inspected by means of several coarse-grained sequences formed from the analysed signals. We recorded the EEGs from...

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Reply to ‘Comment on “Analysis of electroencephalograms in Alzheimer’s disease patients with multiscale entropy”’

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 recognised 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 di...

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Multiscale Entropy Analysis (MSE)

Multiscale entropy (MSE) analysis [1, 2] is a new method of measuring the complexity of finite length time series. This computational tool can be applied both to physical and physiologic data sets, and can be used with a variety of measures of entropy. We have developed and applied MSE for the analysis of physiologic time series, for which we prefer to estimate entropy using the sample entropy ...

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ژورنال

عنوان ژورنال: Physiological Measurement

سال: 2006

ISSN: 0967-3334,1361-6579

DOI: 10.1088/0967-3334/27/11/004