Alzheimer's electroencephalogram event scalp localization

P. Rodrigues, D. Freitas, João Paulo Ramos Teixeira
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引用次数: 2

Abstract

Alzheimer's disease (AD) is a neurodegenerative and incurable illness that causes intellectual functions decrease. This study is a new approach to improve the scalp brain anomalies localization associated with Electroencephalogram (EEG) energy variations of EEG threads (subsegments) sequencies sets found in AD patients by unsupervised learning techniques, called AD EEG temporal events. This study showed that AD patients have less brain dynamics than controls, because the AD EEG events propagation time over the scalp is higher and statistically different from control subjects (p<;0.0022).
阿尔茨海默病脑电图事件头皮定位
阿尔茨海默病(AD)是一种导致智力功能下降的神经退行性不治之症。本研究是通过无监督学习技术(称为AD EEG时间事件)改善AD患者脑电图线程(亚段)序列集的脑电图(EEG)能量变化相关的头皮脑异常定位的新方法。本研究表明,AD患者的脑动力学小于对照组,因为AD脑电图事件在头皮上的传播时间更高,与对照组有统计学差异(p<;0.0022)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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