人体大脑活动的复杂度随年龄变化而变化,并且和性别有一定的联系,通过对功能磁共振成像复杂度的分析有助于发现人脑活动和性别年龄之间关系的规律.本文提出需要根据年龄段的变化对基本尺度熵的参数做适当的调整,以便获得良好的信号区分效果.本文研究了人脑活动和性别年龄之间存在的关系.结果证明,同龄男女的基本尺度熵值存在一定的差异,并且随年龄段的不同发生相应的变化,另外基本尺度熵中的参数在数据分析中也随年龄变化存在一定规律的变化.通过对fMRI数据的分析表明,基本尺度熵能够有效地区分不同人群fMRI数据特征,为进一步信号复杂度分析提供方便.
The complexity of human brain activity has shown a certain law associated with the difference of age and sex, which can be identified by fMRI (functional magnetic resonance imaging). In this paper, we apply the base scale entropy to 54 groups' fMRI data of different ages and gender, and then distinguish the different groups through the entropy. Through the base scale entropy with reasonable parameters, fMRI of different people could be distinguished effectively, which provides convenience to further data analysis. Results show that the base scale entropy between men and women of the same age has some differences and the entropy changes correspondingly with the change of age. In order to distinguish different people of different ages, we need to adjust the scale parameter to adapt to the trends in age changes. The fMRI data analysis shows that the base scale entropy could distinguish different populations' fMRI data characteristics for further facilitating the analysis of complex signals.