On the Digital Processing of EEG Data

N. Ahmed, D. Hein, D. Walker, D. Parikh, B. Vujjini
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Abstract

The main objective of this paper is to discuss some signal processing aspects pertaining to electro­ encephalograph (EEG) data. First, digital filters which enable one to extrapolate the THETA and ALPHA components of EEG data are presented. Next, the energy outputs of these filters are used to suggest a plaus­ ible quantitive measure for assessing the effective­ ness of a biofeedback training process. Some of the related experimental results are also included.
脑电数据的数字化处理
本文的主要目的是讨论与脑电图(EEG)数据有关的一些信号处理问题。首先,提出了能够推断脑电图数据的THETA和ALPHA分量的数字滤波器。接下来,这些过滤器的能量输出被用来建议一个合理的定量措施,以评估生物反馈训练过程的有效性。文中还包括了一些相关的实验结果。
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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