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Detection of Brain Stroke using Electroencephalography (EEG)

机译：使用脑电图检测脑中风（EEG）

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This paper focuses on identifying an approach to identify stroke non-invasively and cost-effectively using Electroencephalography (EEG). Brain stroke occurs when blood flow to the brain is interrupted and brain cells are deprived of oxygen and nutrients and they begin to collapse. In order to detect a brain stroke, generally a CT scan or MRI is done to identify that specific region. Due to high cost of CT-scan/MRI, we wanted to find an alternative approach that is low cost and effective also. So, CT-scan/MRI and EEG data of the patients suffering from stroke within 48 hours after the onset was taken. The current research analysis is based on detecting the electrical current density different regions of the brain and comparing it with CT-scan/MRI images. Cross-sectional studies show the electrical current density of the cortical surface under hemorrhagic and ischemic stroke conditions. All the patients were examined hemorrhagic or ischemic stroke based on CT-scan/MRI.
机译：本文侧重于鉴定使用脑电图（EEG）识别识别中风和成本有效的方法。脑卒中发生脑中风，当血液流向脑被中断并且脑细胞被剥夺氧气和营养物质时，它们开始崩溃。为了检测脑中风，通常进行CT扫描或MRI以识别特定区域。由于CT-Scan / MRI的高成本，我们希望找到一种替代方法，这也是低成本和有效的。所以，采取患者的CT-SCAN / MRI和患者的脑卒中患者的脑电图。目前的研究分析基于检测大脑的电流密度不同区域，并将其与CT-SCAN / MRI图像进行比较。横截面研究显示出血管和缺血性卒中条件下皮质表面的电流密度。基于CT-SCAN / MRI检查所有患者的出血或缺血性脑卒中。

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