期刊文献+

脑电信号高阶谱分析技术的研究 被引量:2

The Study of EEG Higher Order Spectral Analysis Technology
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摘要 该文介绍了高阶谱分析的基本原理及其中应用最广的双谱。通过对脑电信号的采集并进行双谱分析的实验表明,高阶谱在处理非线性和抑制高斯噪声等方面具有以二阶统计量为基础的功率谱所不具备的优越性。 The basic theory of Higher Order Spectral Analysis and the most generally used Bispectrum are introduced in the paper. By certain experiments of EEG signal acquisition and bispectrum analysis, it is showed that the Higher Order Spectrum has an advantage over power spectrum, which is based on Second Order Statistics, in processing nonlinear signal and restraining Gauss noise signal.
出处 《中国医疗器械杂志》 CAS 2009年第2期79-82,共4页 Chinese Journal of Medical Instrumentation
基金 国家自然科学基金(批准号:30670524) 教育部留学回国人员启动经费和上海市浦江人才计划(07pj14054)。
关键词 脑电信号 高阶谱分析 双谱 EEG signal, Higher Order Spectral Analysis, Bispectru
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参考文献7

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二级参考文献14

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共引文献16

同被引文献23

  • 1魏彬,贾存良.脑电信号预处理电路的设计[J].中国组织工程研究与临床康复,2007,11(22):4362-4364. 被引量:8
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  • 3Lebedev M A, Nicolelis M A. Brain-machine interfaces: Past, present and future[J ]. Trends in Neurosciences, 2006, 29 (9) : 536-546.
  • 4Vahid Abootalebi. A new approach for EEG feature extraction in P300-based lie detection[J ]. Computer Methods and Pro- grams in Biomedicine, 2008,10-14.
  • 5Lebedev MA, Nicolelis MA. Brain-machine interfaces: past, present and future[J]. Trends in Neurosciences, 2006, 29 (9) : 536-546.
  • 6Eduardo Bayro-eorrochano. The theory and use of the quatemion wavelet transform[J ]. Journal of Mathematical Imaging and Vision, 2006, 24: 19-35.
  • 7Huang Liyu, Wang Weirong, Singare S. Bispectrum quantification analysis of EEG and artificial neural network may clas- sify ischemic states[J ]. Lecture Notes in Computer Science, 2006, 4233: 533-542.
  • 8黄日辉,李霆,阜艳,汪兆栋.诱发脑电提取方法的研究进展[J].现代电子技术,2008,31(22):139-141. 被引量:5
  • 9王洪涛.视觉诱发电位脑机接口关键技术研究[J].重庆文理学院学报(自然科学版),2010,29(1):69-74. 被引量:5
  • 10唐江,赵拥军,朱健东,胡卿.基于FrFT的伪码-线性调频信号参数估计算法[J].信号处理,2012,28(9):1271-1277. 被引量:8

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