期刊文献+

脑电Alpha波的混沌关联维数分析 被引量:5

Chaotic correlation dimension analysis of alpha waves in electroencephalograph
下载PDF
导出
摘要 通过研究了静息状态下枕部A lpha波信号的混沌关联维数的特征,在采集了被试的A lpha波信号后,分别采用互信息量法,伪最近邻域法和关联积分方法依次求得时间延迟τ,嵌入维数m和关联维数D2.结果显示枕部的A lpha波关联维数在睁眼时均值4.7,闭眼时均值4.2,二者有显著的差别(p<0.01).实验表明,在闭眼时视觉输入被阻断,大脑处于自治状态,脑电复杂程度下降,而睁眼时复杂程度较高。 This paper studies the chaotic correlation dimension of occipital alpha waves in electroencephalograph under rest condition. Based on the experimental alpha wave data, time delay τ , embedded dimension m and correlation dimension D2 are calculated using mutual information, false nearest neighbor and correlation integral methods, respectively. The result shows that the average correlation dimension is 4.7 when eyes open and 4.2 when eyes close, and their difference is notable (p 〈 0.01 ). Since visual input is blocked for closed eyes, brain remains self-organization and EEG complexity is lower than open eyes.
作者 李春胜 王宏
机构地区 东北大学
出处 《仪器仪表学报》 EI CAS CSCD 北大核心 2009年第3期477-480,共4页 Chinese Journal of Scientific Instrument
基金 国家自然科学基金(50435040)资助项目
关键词 Alpha波 混沌关联维数 互信息量 伪最近邻域 alpha wave chaotic correlation dimension mutual information false nearest neighbor
  • 相关文献

参考文献13

  • 1CHENG M, GAO X R, GAO S K, et al. Design and implementation of a brain-computer interface with high transfer rates [ J ]. IEEE Transactions on Biomedical Engineering, 2002, 49 : 1181-1186.
  • 2KIRKU P L, SEARLE A, CRAIG A, et al. EEG-based system for rapid on-off switching without prior learning [ J]. Medical and Biological Engineering and Computing, 1997, 35:504-509.
  • 3万柏坤,綦宏志,赵丽,陈滨津,毕卡诗,陈骞.基于脑电Alpha波的脑-机接口控制实验[J].天津大学学报,2006,39(8):978-984. 被引量:18
  • 4CRAIG A, TRAN Y, CRAIG D, et al. Improving correct switching rates in a hands-free'environmental control system[J]. Journal of neural engineering, 2005, 2:9-13.
  • 5THURAISINGHAM R A, TRAN Y, BOORD P, et al. Analysis of eyes open, eye closed EEG signals using second-order difference plot [ J ]. Medical and Biological Engineering and Computing, 2007, 45 : 1243-1249.
  • 6周杰,王宏,王灵芝,杜军军,朱德生,单晓晖.体感诱发EEG的混沌时间序列分析[J].仪器仪表学报,2008,29(2):436-439. 被引量:3
  • 7TAKENS F. Detecting strange attractors in turbulence [J]. lecture Notes in Mathematics, 1981, 898:366-381.
  • 8FRASER A M, SWINNEY H L. Independent coordinates for strange attractors from mutual information [ J]. Physical Review A, 1986, 33:1134-1142.
  • 9KENNEL M B. Statistical test for dynamical nonstationarity in observed time-series data [ J ]. Physical Review E, 1997, 56:316-321.
  • 10KANTZ H, SCHREIBER T. Nonlinear time series analysis. 2 ed [ M ]. Cambridge : Cambridge University Press, 2004, 37-38.

二级参考文献21

  • 1万柏坤,高扬,赵丽,綦宏志.脑-机接口:大脑对外信息交流的新途径[J].国外医学(生物医学工程分册),2005,28(1):4-9. 被引量:22
  • 2付平,贾建平,徐敏,王敏.电针足三里穴后脑功能磁共振成像显示不同脑区的激活变化[J].中国临床康复,2005,9(16):92-93. 被引量:51
  • 3刘海龙,王珏,郑崇勋.基于非线性参数的意识任务分类[J].西安交通大学学报,2005,39(8):900-903. 被引量:9
  • 4Wolpaw J R, Birbaumer N, Heetderks W J, et al. Braincomputer interface technology: A review of the first international meeting[J]. IEEE Trans Rehabil Eng, 2000, 8(2) :222-225.
  • 5Wolpaw J R, Birbaumer N, McFarland D J, et al. Braincomputer interfaces for communication and control[J]. Clinical Neurophysiology, 2002, 113 : 767-791.
  • 6Vaughan T M. Brain-computer interface technology: A review of the second international meeting [J]. IEEE Trans Neural Syst Rehabil Eng, 2003, 11 (2) :94-109.
  • 7Neuper C, Mtiller G R, Kiibler A, et al. Clinical application of an EEG-based brain-computer interface : A case study in a patient with severe motor impairment [J]. Clin Neurophysiol, 2003, 114 : 399-409.
  • 8黄远桂,吴声伶.临床脑电图学[M].北京:人民卫生出版社,1998.
  • 9Dewan E M. Occipital alpha rhythm eye position and lens accommodation[J]. Nature, 1967, 214:975-977.
  • 10Delorme A, Makeig S. EEG changes accompanying learned regulation of 12 Hz EEG activity [J]. IEEE Trans Neural Syst Rehabil Eng, 2003,11 (2) :133-137.

共引文献19

同被引文献41

引证文献5

二级引证文献13

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部