一种分析帕金森病早期脑电图波列的方法

2016 International Conference on Bioinformatics and Systems Biology (BSB) Pub Date : 2016-03-04 DOI:10.1109/BSB.2016.7552163

O. Sushkova, A. Morozov, A. Gabova

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引用次数: 15

摘要

提出了一种基于小波和非参数统计的脑电波列分析方法。以帕金森病实验数据为例，将该方法与基于傅立叶谱和复Morlet小波的标准方法进行了比较。我们证明了这些方法是互补的，即标准方法和波列分析法在脑电图数据中显示出充分不同的效果。

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A method of analysis of EEG wave trains in early stages of Parkinson's disease

A method of analysis of EEG wave trains based on wavelets and nonparametric statistics is developed. The method is compared with standard methods based on Fourier spectra and complex Morlet wavelets by the example of Parkinson's disease experimental data. We demonstrate that these methods are complementary, that is, the standard methods and the wave train analysis method reveal sufficiently different effects in the EEG data.

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2016 International Conference on Bioinformatics and Systems Biology (BSB)

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