期刊文献+

事件相关电位快速提取方法研究进展

Review on Fast Extraction Methods for Event-related Potentials
原文传递
导出
摘要 空间飞行条件下,失重可能对航天员脑高级功能产生不可预期的影响,而事件相关电位(event-related potentials,ERPs)是探索这种影响的重要手段。ERPs总是淹没在自发脑电中,信噪比很低。少次甚至单次提取ERPs,可减少刺激次数,同时可观察每次实验ERPs之间的变异性,具有重要意义。本文主要从时域、变换域和空间域来述快速提取ERPs的方法,并对这3种典型方法进行仿真比较。 On the space flight condition,weightlessness has unexpected effects on brain advanced function of astronauts,and event-related potentials(ERPs) are regarded as important means to probe into the effects.ERPs are always submerged in EEG,and signal to noise ratio of ERPs is greatly low.Extraction of ERPs signals from only a few trials or even one trial is significantly important,which can not only decrease the number of trials to be collected,but also supply one possible approach to observe the variation of different ERPs trials.This paper reviews the methods to extract ERPs from time domain,frequency domain,then space domain,and then three typical methods are simulated and compared.
出处 《航天医学与医学工程》 CAS CSCD 北大核心 2012年第2期147-151,共5页 Space Medicine & Medical Engineering
基金 航天医学基础与应用国家重点实验室资助项目(SMFA09A16)
关键词 事件相关电位 快速提取 时域法 变换域法 空域法 event-related potentials fast extraction time domain method frequency domain method space domain method
  • 相关文献

参考文献5

二级参考文献37

  • 1孙永梅,邱天爽.诱发电位中α稳定分布噪声参数的动态估计新方法[J].信号处理,2003,19(z1):316-319. 被引量:3
  • 2张金凤,邱天爽.低阶α稳定分布噪声下诱发电位潜伏期变化估计的一种新方法[J].信号处理,2003,19(z1):320-323. 被引量:3
  • 3熊新兵,陈亚光.诱发电位提取的子空间和小波去噪复合方法[J].中国组织工程研究与临床康复,2007,11(13):2430-2433. 被引量:2
  • 4KIANOUSH N, AHMAD R S, Mohammad P F. Application of higher order statistics to surface electromyogram signal classification[J]. IEEE Transactions on Biomedical Engineering,2007,54(10) :1762-1769.
  • 5TZYY P J,SCOTT M,MARISSA W,et al. Analysis and visualization of single-trial event-related potentials[J]. Human Brain Mapping ,2001,14 : 166-185.
  • 6ARNOLD N,TAPIOS S. Estimation of parameters and eigenmodes of multivariate autoregressive models[J]. ACM Transactions on Mathematical Software,2001,27(1) :27-57.
  • 7YAN W,MATTHEWT S, et al. Single-trial classification of ERPs using second-order blind identification (SOBI)[C]. Proceedings of 2004 International Conference on Machine Learning and Cybernetics, 2004,7 : 4246-4251.
  • 8SEYEDEHMINA A M,LAMPROS S S, et al. Wavelet filtering of the P300 component in event-related potentials[C]. Proceedings of the 28th IEEE, EMBS Annual International Conference,New York City,USA,2006,28:1719-1722.
  • 9FATOURECHIL M,MASON S G, BIRCHL G E, et al. A wavelet-based approach for the extraction of event related potentials from EEG[C]. IEEE International Conference on Acoustics, Speech, and Signal Processing, Montreal, Canada, 2004,2 : 737-740.
  • 10DARIO F, MARIE-FRANCOISE L, CHRISTIAN D. Optimized wavelets for blind separation of nonstationary surface myoelectric signals[J]. IEEE Transactions on Biomedical Engineering, 2008,55 (1) : 78-86.

共引文献17

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