SSVEP frequency detection methods considering background EEG

SSVEP frequency detection methods considering background EEG
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DOI：
10.1109/scis-isis.2012.6505369
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发表时间：
2012-11
期刊：
The 6th International Conference on Soft Computing and Intelligent Systems, and The 13th International Symposium on Advanced Intelligence Systems
影响因子：
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通讯作者：
Toshihisa Tanaka;Cheng Zhang;Hiroshi Higashi
Toshihisa Tanaka;Cheng Zhang;Hiroshi Higashi
中科院分区：
其他
文献类型：
--
作者：
Toshihisa Tanaka;Cheng Zhang;Hiroshi Higashi

文献摘要

相似文献

提出了稳态视觉诱发电位(SSVEP)频率的检测方法。提出了将典型相关分析(CCA)与线性判别分析(LDA)相结合，并对节奏成分提取(RCE)方法进行了改进，使之能够考虑背景脑电频谱的分类精度和信息传递率(ITR)，并对6种指令进行了分类。
Detection of the frequency of steady-state visual evoked potentials (SSVEP) is addressed. We propose to use the canonical correlation analysis (CCA) with linear discriminant analysis (LDA), as well as some modifications of the so-called rhythmic component extraction (RCE) that can consider the background EEG spectra Classification accuracy and the information transfer rate (ITR) are examined in classification of six commands.