基于脑机接口的运动图像脑电信号频域分类

2009 14th National Biomedical Engineering Meeting Pub Date : 2009-05-20 DOI:10.1109/BIYOMUT.2009.5130258

U. Halici

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引用次数: 1

摘要

本文研究了脑机接口中光标运动时脑电信号的分类问题，首先利用频域特征向量，然后利用线性变换减小特征向量的大小。

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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Classification in frequency domain of EEG Signals of Motor Imagery for Brain Computer Interfaces

In this study the classification of the EEG Signals recorded during Motor Imagery for curser movement in Brain Computer Interfaces is examined, in which the feature vectors obtained in frequency domain is used and then the linear transformations are applied for reducing the size of the feature vectors.

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2009 14th National Biomedical Engineering Meeting

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