Higuchi分形维数在人脑电信号气味响应统计分析中的应用

Mesut Seker, M. S. Özerdem
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引用次数: 6

摘要

本研究的目的是评估愉快-不愉快气味脑电图的分形维数(FD)分析。Higuchi分形维数(HFD)是一种在时域直接计算分形维数的非线性信号分析方法。收集6名男性的脑电图记录作为数据集。结果表明,愉快气味和不愉快气味脑电信号的HFD值在所有脑电信号通道中均不符合正态分布,自变量之间的方差也不均匀。愉快气味在O2(右枕叶)和T7(左颞叶)通道的HFD值与不愉快气味有显著差异。额叶(F3-F4)对所有类型的气味都有很强的相关性。不愉快气味的HFD值高于愉快气味。结果表明,难闻气味的脑电图比难闻气味的脑电图具有更复杂的模式。建议的工作是用统计工具进行的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Application of Higuchi's Fractal Dimension for the Statistical Analysis of Human EEG Responses to Odors
The purpose of this study is to evaluate the fractal dimension (FD) analysis of pleasant-unpleasant odor EEGs. Higuchi's fractal dimension (HFD), which calculates FD directly in time domain, was preferred as a nonlinear signal analysis method. EEG recordings of 6 males were collected for dataset. Results showed that HFD values of pleasant and unpleasant odor EEGs were not in normal distribution and variances between independent variables were not homogeneous in all EEG channels. HFD values of pleasant odors were significantly different from unpleasant ones in O2 (right occipital) and T7 (left temporal) channels. There was a strong correlation between frontal lobes (F3-F4) for all class of odors. HFD values of unpleasant odors were higher than pleasant odors. It showed that unpleasant odor EEGs have more complex patterns than pleasant ones. The proposed work was performed with statistical tools.
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