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An Analytical Study of Mental Rotation Activity Based on Feature Descriptor Patterns

机译:基于特征描述符模式的心理旋转活动的分析研究

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The chief objective of this paper is to investigate the differences in Feature Descriptor patterns during mental rotation of five different objects for both healthy as well as brain diseased subjects. Thus, electroencephalographic (EEG) activity was measured during mental rotation of objects by various angles with respect to its present orientation. Source localization using eLORETA inferred an enhanced activation of pre-frontal and frontal lobe regions during mental rotation activity. Experimental analysis also confirmed maximal activation of lower alpha frequency band while performing this cognitive task. Differential Evolutionary (DE) algorithm has been implemented to select the optimal features which are represented using the Feature Descriptor diagrams. These diagrams infer that the feature patterns are distinct and vary from object to object. Moreover, these patterns orient by 45° for 90° mental rotation and by 75° for 180° mental rotation of the presented objects. However, there exists an inconsistency in the Feature descriptor diagrams for patients suffering from pre-frontal lobe amnesia and Alzheimer's disease. It is also found that these diagrams remain unaffected during mental rotation which infers their incapability to perform such a cognitive task. Hence, this work can be effectively utilized to detect people suffering from memory related disorder.
机译:本文的首席目标是调查特征描述符模式的特征描述符在精神旋转期间的特征描述符模式的差异,用于健康以及脑病受试者。因此,通过各种角度在物体的精神旋转期间测量脑电图(EEG)活性,相对于其目前的取向。使用ELORETA的源定位推断出在精神旋转活动期间增强了前前部和额叶区域的激活。实验分析还确认了在执行这种认知任务的同时确认下α频带的最大激活。已经实现了差分进化(de)算法以选择使用特征描述符图表表示的最佳特征。这些图表推断特征模式是不同的,并且从对象变为对象。此外,这些图案定向45°,90°精神旋转和75°呈现出呈现的物体的180°精神旋转。然而,对于患有额前叶片胃癌和阿尔茨海默病的患者的特征描述符图存在不一致。还发现,在精神旋转期间,这些图仍未受到影响,这是他们无法执行这种认知任务的无法行动。因此,可以有效地利用这项工作来检测患有内存相关疾病的人。

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