解决脑研究问题:脑电图焦点

T. Najafi, R. Jaafar
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引用次数: 0

摘要

大脑作为中枢神经系统,在神经元的协助下,通过对接收到的信息进行处理,进而发出指令,控制人体机能。大脑的研究问题主要分为认知、感知和感觉。每个问题最初都是指颅内成分和神经元活动的状态。各种技术;非侵入性和侵入性,都可提供有价值的大脑信息。脑电图(EEG)是一种非侵入性技术,由于其记录和测量头皮上两个区域之间代表整体神经元活动的电位差方便且价格合理,被广泛应用于大脑研究。尽管脑电图是一种有益的技术,但它的主要缺点是缺少颅内知识。本文介绍了三种不同的大脑研究方法;以数学为基础,以工程为基础,以医学工程为基础。每项研究的成果都代表了每种方法的挑战,并提出了可能的未来研究。此外,对脑电图的主要定义进行了全面的解释。本文为研究人员选择合适的方法解决脑电研究相关的研究问题提供了充分的信息。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Solving Brain Research Problems: Electroencephalography Focus
Brain as the central nervous system controls human functions assisted by neurons through processing the received information towards sending the commands. Brain research problems are mainly categorized in cognition, perception and sensation. Each problem originally refers to state of intracranial components and neuronal activity. Various techniques; non-invasive and invasive, are available to provide valuable information of the brain. Electroencephalography (EEG) is a non-invasive technique that is extensively applied in brain studies due to being convenient and affordable by recording and measuring the potential differences between two regions on the scalp representing overall neuronal activity. Despite EEG being a beneficial technique, it has the main drawback of missing intracranial knowledge. In this paper, three different brain study approaches are introduced; Mathematical-based, Engineering-based and Medical-engineering-based. The achievements from each study represent the challenges in each approach and propose the possible future investigations. In addition, EEG primary definitions are explained comprehensively. The paper provides sufficient information for researchers to choose suitable approach in solving research problems related to brain study using EEG.
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