| 脑信息处理动态特征研究 |
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| 引用本文： | 陈冬冰,吴平东,毕路拯,韩巍,王刚,刘莹.脑信息处理动态特征研究[J].北京理工大学学报,2006,26(3):221-225. |
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| 作者姓名： | 陈冬冰 吴平东 毕路拯 韩巍 王刚 刘莹 |
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| 作者单位： | 北京理工大学,机械与车辆工程学院,北京,100081;北京理工大学,管理与经济学院,北京,100081 |
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| 基金项目： | 高等学校博士学科点专项科研项目 |
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| 摘 要： | 为提取脑信息处理过程中的动态特征参数,提出运用基于相空间重构思想的时间序列分维算法(G-P算法). 讨论了G-P算法的3个重要参数(即无标度域、嵌入维数和延时)的确定规则,记录大脑在不同状态下的EEG信号并计算其关联维数. 实验结果表明,EEG关联维数能够反映脑信息处理过程中的神经元群活动状态,可作为脑信息处理的非线性特征参数.
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| 关 键 词： | 脑信息处理 脑电图 关联维数 神经元群 |
| 文章编号： | 1001-0645(2006)03-0221-05 |
| 收稿时间： | 07 14 2005 12:00AM |
| 修稿时间： | 2005年7月14日 |
Dynamic Characteristics of Brain Information Processing |
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| CHEN Dong-bing,WU Ping-dong,BI Lu-zheng,HAN Wei,WANG Gang and LIU Ying.Dynamic Characteristics of Brain Information Processing[J].Journal of Beijing Institute of Technology(Natural Science Edition),2006,26(3):221-225. |
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| Authors: | CHEN Dong-bing WU Ping-dong BI Lu-zheng HAN Wei WANG Gang and LIU Ying |
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| Institution: | 1. School of Mechanical and Vehicular Engineering, Beijng Institute of Technology, Beijing 100081, China; 2. School Of Management and Economies, Beijing Institute of Technology, Beijing 100081, China |
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| Abstract: | To acquire dynamic characteristics in brain information processing,a G-P algorithm based on the idea of restructuring of phase space is adopted.The rule of selecting three important parameters(non-graduation area,embedding dimension and delay) according to G-P algorithm is discussed.EEG signals under different brain condition are recorded and the correlation dimension is calculated.Experiments showed that the correlation dimension of EEG signal can reflect the active conditions of neuronal groups during brain information processing and can be used as the non-linear parameter of brain information processing. |
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| Keywords: | brain information processing EEG correlation dimension neuronal group |
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