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基于独立分量分析的大脑视觉诱发电位单次提取
A Method of Single-trial estimation of Multi-channel Visual Evoked Potential(VEP) Based on Independent Component Analysis
【摘要】 脑电 (Electroencephalography ,EEG)视觉诱发电位 (VisualEvokedPotential,VEP)的单次提取是当前生物医学信号处理领域的一个研究热点。提出一种基于独立分量分析 (IndependentComponentAnalysis,ICA)的多道脑电信号VEP单次提取方法 ,与多次叠加求平均的方法相比较 ,可以得到令人满意的结果。
【Abstract】 Single-trial estimation of visual evoked potential is the very interesting field in biomedical signal processing at present. A method based on the independent component analysis(ICA) was proposed for single-trial estimation of multi-channel Visual Evoked Potential(VEP). It achieved a result which was clearer than that obtained by 200 times conventional coherent averaging.
【关键词】 独立分量分析;
诱发电位;
视觉诱发电位;
单次提取;
【Key words】 Independent component analysis (ICA) Evoked potential (EP) Visual evoked potential (VEP) Single-trial estimation;
【Key words】 Independent component analysis (ICA) Evoked potential (EP) Visual evoked potential (VEP) Single-trial estimation;
【基金】 国家自然科学基金 (6 0 2 710 2 3) ;广东省自然科学基金重点 (0 2 12 6 4)资助项目
- 【文献出处】 生物医学工程研究 ,Journal of Biomedical Engineering Research , 编辑部邮箱 ,2003年03期
- 【分类号】R318.04
- 【被引频次】7
- 【下载频次】117