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多变量相关系数分解及其在脑电相干源成像中的应用
  • 期刊名称：生物医学工程学报
  • 时间：0
  • 页码：6-9
  • 语言：中文
  • 分类：R318.04[医药卫生—生物医学工程;医药卫生—基础医学] TP391.9[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构：[1]电子科技大学生命科学与技术学院,成都610054, [2]成都医学院计算机教研室,成都610083
  • 相关基金：国家自然科学基金资助项目（编号：60571019,30525030）;973项目（2003CB716106）.
  • 相关项目：用磁共振直接探测alpha波相关神经活动的方法技术研究
作者： 尧德中|
关键词： 脑电信号, 相干源, 多变量相关系数分解(MVCCD), EEG, coherent sources, muhivariate correlation coefficient decomposition
中文摘要：

本研究发展了一种基于相关系数分解的脑电相干源成像方法。具体给出了多道脑电的相关系数分解算法和相应的相干源成像方法。以能量成像方法为对照，证实了方法对相干但能量水平不同的源组合的敏感性以及抗噪能力。结果表明，这种方法成像敏感度高。能对多个相干源成像，且具有较强的抗噪声性，因而有明显的理论意义和应用价值。

英文摘要：

A novel algorithm, termed multivariate correlation coefficient decomposition, is proposed to map the coherent sources in human brain. In this work we demonstrate how to apply correlation coefficient decomposition algorithm to multi-channel scalp EEG and illustrate the corresponding methods for mapping coherent sources. Compared with energy mapping, this algorithm was sensitive to the combination of coherent sources with different energy levels. Computer simulation and VEP data tests show that the presented algorithm has high sensitivity in mapping coherent sources, it accurately map multiple coherent sources and was robust to noise.

同期刊论文项目
生物医学信号处理
期刊论文 81 会议论文 3 获奖 2
用磁共振直接探测alpha波相关神经活动的方法技术研究
期刊论文 29 会议论文 8 专利 1
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