摘要
EEG作为一种无损的新医学技术近几年已经被广泛地研究,EEG-MUSIC是一种基于EEG的脑源病灶空间定位算法,它只能在高斯噪声下工作。特殊情况下的脑电传感器阵列数据中可能伴有一种强脉冲噪声,这种噪声可以用α稳定分布描述。稳定分布噪声环境下,传统的EEG-RAP-MUSIC失效。为此用FLOM矩阵代替自相关矩阵,提出了一种适合稳定分布噪声环境的脑源定位新方法FLOM-EEG-RAP-MUSIC。计算机仿真表明,所提出的方法能较好地在稳定分布噪声环境下工作,具有一定的鲁棒性。
EEG(Electroencephalography) which is a new medical technology has been generally researched recently, EEG-MUSIC (Multiple Signal Classification) is a spatial source localization method based on EEG, but it can only work in Gauss noises environment. Because noises are pulsing in EEG array processing data, they can be described by a stable distribution. The per- formance of EEG-RAP (Recursively Applied and Projected)-MUSIC degenerates in a stable distribution environment. A new source localization method which can work in a stable distribution environment is proposed because correlation matrix is re- placed by improved Fractional Low Order Moment(FLOM)matrix in the method. Simulations indicate that the method is robust.
出处
《计算机工程与应用》
CSCD
2013年第2期122-125,共4页
Computer Engineering and Applications
基金
国家自然科学基金(No.60772037)
江西省卫生厅科技计划项目(No.20092076)
江西省自然科学基金(No.2009GES0068)
江西省教育厅科技基金资助项目(No.GJJ10266)
关键词
脑电图
源定位
Α稳定分布
分数低阶矩
多信号分类
Electroencephalography (EEG)
source localization
Alpha (a) stable distribution
Fractional Low Order Moment (FLOM)
Multiple Signal Classification (MUSIC)