| 脑电波的统计特性 |
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| 引用本文： | 袁蒋伟,吴伊自,沈杰.脑电波的统计特性[J].浙江大学学报(理学版),2007,34(1):43-45. |
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| 作者姓名： | 袁蒋伟 吴伊自 沈杰 |
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| 作者单位： | 1. 浙江大学,物理系,浙江,杭州,310027
2. 浙江大学,竺可桢学院,浙江,杭州,310027 |
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| 摘 要： | 通过自关联函数和DFA等方法来分析正常人和老年痴呆症患者的EEG脑电渡数据，得出了脑电波数据信号在时间上具有长程关联性，发现老年痴呆症患者和正常人的脑电波的一些差异．
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| 关 键 词： | 脑电波数据 自关联函数 长程关联 |
| 文章编号： | 1008-9497（2007）01-043-03 |
| 修稿时间： | 2005-07-04 |
Statistical properties of human brain electroencephalogram |
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| YUAN Jiang-wei,WU Yi-zi,SHEN Jie.Statistical properties of human brain electroencephalogram[J].Journal of Zhejiang University(Sciences Edition),2007,34(1):43-45. |
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| Authors: | YUAN Jiang-wei WU Yi-zi SHEN Jie |
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| Institution: | 1. Department of Physics, Zhejiang University, Hangzhou 310027, China 2. ZHU Ke-zhen Honors College, Zhejiang University, Hangzhou 310027, China |
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| Abstract: | Many activities in the past years have been devoted to the application of physical concepts and methods to complex biological,meteorological and economic systems.Due to interactions among elements in the complex systems,long-range spatial and/or temporal correlations are often generated.The purpose of this paper is to study the statistical properties of the human brain electroencephalogram with concepts and methods of statistical physics. Through calculating auto-correlation function and DFA,the long-range temporal correlation is revealed.Certain effects of the Alzheimer's disease are observed. |
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| Keywords: | DFA |
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