节点文献
基于灰色系统理论的脑电特征提取
Feature Extraction of EEG Based on Grey System Theory
【摘要】 提出了脑电特征提取的一种新方法。研究了灰色模型在自发脑电特征提取中的应用, 同时给出了脑电信号特征提取的总体方案。研究结果表明,在脑电信号处理中使用灰建模方法提取脑电特征是可行和有效的,同时该方法也为进一步的脑功能模式识别研究提供了初步的理论基础。
【Abstract】 A novel method for EEG feature extraction is put forward in this paper. The application of gray model in feature extraction of spontaneous EEG signals is studied and the overall scheme of EEG feature extraction is presented. The results of the research indicate that it is feasible and available for EEG feature extraction with the gray modeling method in EEG signal processing. Moreover,this method also offers preliminary theory foundation for the further brain function research of pattern recognition.
【关键词】 自发脑电;
α波;
灰色系统理论;
GM(1,1)模型;
特征提取;
【Key words】 spontaneous EEG; alpha waves; grey system theory; model GM (1,1); feature extraction;
【Key words】 spontaneous EEG; alpha waves; grey system theory; model GM (1,1); feature extraction;
【基金】 国家自然科学基金资助项目(30470459)
- 【文献出处】 贵州工业大学学报(自然科学版) ,Journal of Guizhou University of Technology(Natural Science Edition) , 编辑部邮箱 ,2005年06期
- 【分类号】R318
- 【被引频次】9
- 【下载频次】143