正常与病理脑电图信号的相关性分析

N. Stanciu
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引用次数: 0

摘要

脑电信号是脑皮层电信号所表达的大脑活动,即脑电图(EEG)是大量脑内和脑间相关源的结果。相关性是指根据它们所依赖的参数,对明显不同的信号之间的关联程度进行量化。在这项工作中,分析指的是脑电图活动;在正常和病理病例中,信号的相对功率取决于皮层区域的频率和位置。信号采集和初级处理使用Bio Script Zwonitz 2000脑电图设备进行。使用标准的10-20电极定位系统(19个电极),并用0-62 Hz范围内的频谱内容信号说明皮质活动。本研究分析的数据来自大量正常和病理受试者。经过数值处理后,结果以彩色地图显示,以一种暗示性的方式,增强了正常与病理状态特有的相关性模式。当需要及时监测和评估不同的病理时,这种类型的数据处理非常有用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Correlation Analysis of the EEG Signals in Normal and Pathological Cases
The activity of brain expressed by electrical cortical signals, the electroencephalogram (EEG) is a result of a multitude of intra and inter-hemispheric correlated sources. The correlation means quantification of the degree of association between apparently different signals, with regard to parameters they depend on. In this work, the analysis refers to the EEG activity; the relative power of the signal, dependent on frequency and location of cortical areas is assessed in normal and pathological cases. Signal acquisition and primary processing was performed with a Bio Script Zwonitz 2000 electroencephalography equipment. Standard 10-20 electrodes positioning system (with 19 electrodes) is used and the cortical activity is illustrated by signals with a spectral content within the range of 0-62 Hz. Data analyzed in the study comes from numerous normal and pathological subjects. After numerical processing, the results are shown in colored maps, in a suggestive manner, enhancing the patterns of correlation specific to normal versus pathological states. That type of data processing is useful when different pathologies need to be monitored and assessed in time.
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