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Spatio-temporal analysis of monofractal and multifractal properties of the human sleep EEG.

机译:人类睡眠脑电图的单分形和多分形特性的时空分析。

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摘要

Fractality is a common property in nature. It can also be observed in time series representing dynamics of complex processes. Therefore fractal analysis could be a useful tool to describe the dynamics of brain electrical activities in physiological and pathological conditions. In this study, we carried out a spatio-temporal analysis of monofractal and multifractal properties of whole-night sleep EEG recordings. We estimated the Hurst exponent (H) and the range of fractal spectra (dD) in 10 healthy subjects. We found higher H values during NREM4 compared to NREM2 and REM in all electrodes. Measure dD showed an opposite trend. Differences of H and dD between NREM2 and REM reached significancy at circumscribed regions only. Our results contribute to a deeper understanding of the fractal nature of brain electrical activities and may have implications for automatic classification of sleep stages.
机译:分形是自然界的共同财产。也可以在表示复杂过程动态的时间序列中进行观察。因此,分形分析可能是描述生理和病理条件下脑电活动动力学的有用工具。在这项研究中,我们进行了整夜睡眠EEG记录的单分形和多分形特性的时空分析。我们估计了10位健康受试者的赫斯特指数(H)和分形谱范围(dD)。在所有电极中,我们发现NREM4期间的H值高于NREM2和REM。 dD测量显示相反的趋势。 NREM2和REM之间的H和dD差异仅在外接区域才有意义。我们的结果有助于更深入地了解脑电活动的分形性质,并且可能对睡眠阶段的自动分类产生影响。

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