使用OpenVibe处理脑电图信号

Z. Mahmoodin, W. Mansor, K. Y. Lee, N. Mohamad
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引用次数: 4

摘要

通过与正常受试者进行比较,深入了解脑电活动并了解其工作原理,可以更清楚地表明受试者可能存在的神经缺陷。它还可以用于改善认知功能,并为日益流行的脑机接口(BCI)应用程序的工作提供基础。脑电图(EEG)信号为分析大脑功能提供了信息,但要处理的数据量通常是巨大的,需要使用专门的软件。同样重要的是,处理后的脑电图信号,然后用适当的可视化辅助来表示,以更好地帮助临床医生和研究人员在解释过程中。本文描述了使用一个名为OpenVibe的开源软件处理脑电图信号,该软件提供了受试者脑电图波段功率特征的图形表示和功率谱分析以及二维电极映射地形。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Processing of electroencephalogram signals using OpenVibe
Gaining insight into the brain electrical activities and understanding its workings gives a clearer indication of neurological defect that may exist in a subject by comparing it with the norm. It can be also be used to improve cognitive function and provide the basis in the workings of the increasingly popular Brain Computer Interface (BCI) applications. Electroencephalogram (EEG) signals provide information in the analysis of the brain functionality but the amount of data to be process is normally huge and requires the use of specialized software. It is also important that the processed EEG signals are then represented with proper visualizing aids to better assists clinicians and researchers in the process of interpretation. This paper describes the processing of EEG signals using an open source software called OpenVibe which provide graphical representation of a subject EEG band power features and power spectrum analysis along with 2D electrode mapping topography.
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