计算机工程Issue(6)：306-309,315,5.DOI:10.3969/j.issn.1000-3428.2015.06.055
运动想象功率谱信号的模糊融合研究
Study on Power Spectrum Signal Fuzzy Fusion for Motor Imagery
摘要
Abstract
Due to the volume conduction multi-channel Electroencephalogram( EEG) recordings give a rather blurred image of brain activity. Three-channel motor imagery EEG is analyzed. The result of EEG recognition is not satisfactory. It studies multiple classifier fusion to improve the motor imagery EEG classification accuracy, extracts feature from power spectrum calculated from the EEG, and designs classifiers based on the well-known Linear Discriminant Analysis( LDA) method. The fusion of the individual classifiers is realized by means of the Choquet fuzzy integral. BCI competition 2003 dataset III is used to validate fusion method. It demonstrates that the proposed method comes with better performance when compared with single techniques, and shows the effectiveness of the proposed method for dealing with EEG.关键词
脑电数据/信息融合/线性识别分析/Choquet模糊积分/功率谱/运动想象Key words
Electroencephalogram (EEG) data/information fusion/Linear Discriminant Analysis (LDA)/Choquet fuzzy integral/power spectrum/motor imagery分类
信息技术与安全科学引用本文复制引用
徐鲁强,肖光灿..运动想象功率谱信号的模糊融合研究[J].计算机工程,2015,(6):306-309,315,5.基金项目
四川省人社厅留学择优基金资助项目 （）
绵阳网络融合工程实验室开放基金资助项目(12ZXWK07)。 （12ZXWK07）
