| 基于频带能量和相同步的运动意识任务分类研究 |
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| 引用本文： | 张爱华,任亚莉,郝晓弘.基于频带能量和相同步的运动意识任务分类研究[J].甘肃科学学报,2008,20(2):75-78. |
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| 作者姓名： | 张爱华 任亚莉 郝晓弘 |
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| 作者单位： | 1. 兰州理工大学,电气工程与信息工程学院,甘肃,兰州,730050
2. 陇东学院,物理与电子工程学院.甘肃,庆阳745000 |
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| 基金项目： | 甘肃省高校研究生导师科研项目
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兰州理工大学校科研和教改项目 |
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| 摘 要： | 提出了基于信号频带能量和相同步作为脑电特征向量，实现对左右手运动意识任务的分类方法．用线性判别式算法对左右手运动想象脑电模式进行识别，识别正确率最高达到了86．43%，与只用特定频带能量作为脑电特征分类结果相比，效果更好．为大脑运动意识任务的分类提供了新思路．
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| 关 键 词： | 脑电信号 频带能量 相同步 特征提取 分类 |
Study on Classification of Imaginary Hand Movements Based on Band Power and Phase Synchronization |
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| ZHANG Ai-hua,REN Ya-li,HAO Xiao-hong.Study on Classification of Imaginary Hand Movements Based on Band Power and Phase Synchronization[J].Journal of Gansu Sciences,2008,20(2):75-78. |
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| Authors: | ZHANG Ai-hua REN Ya-li HAO Xiao-hong |
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| Institution: | ZHANG Ai-hua1,REN Ya-li2,HAO Xiao-hong1(1.School of Electrical , Information Engineering,Lanzhou University of Science , Technology,Lanzhou 730050,China,2.College of Physics , Electronic Engineering,Longdong College,Qingyang 745000,China) |
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| Abstract: | A method for single trial on-line classification of imaginary hand movements,based on band power and phase synchronization derived from EEG,is proposed.The event-related EEG patterns during left and right hand motor imagery are identified by using the linear discriminant algorithm.The results show that the method is effective and the correct rate of classification is up to 86.43 %.It might provide a new way for the classification of mental tasks. |
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| Keywords: | EEG band power phase synchronization feature extraction classification |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
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