Estimation of multiple sources using spatio-temporal data on a three-dimensional measurement of MEG
Estimation of multiple sources using spatio-temporal data on a three-dimensional measurement of MEG
复制标题
使用 MEG 三维测量的时空数据估计多个源
DOI：
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发表时间：
2001
期刊：
影响因子：
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通讯作者：
Y. Uchikawa
中科院分区：
文献类型：
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作者：
K. Kobayashi;Y. Uchikawa
本文介绍了一种基于脑磁图三维测量的脑内多源估计的计算机模拟研究。本文提出了一种基于三维脑磁图时空数据和奇异值分解的信源分析方法。估计源的数目取决于时空三维脑磁图数据的主奇异值数目。利用奇异向量的信号子空间和估计源的投影进行模式匹配，实现源定位。为了评估该算法，对由位于大脑中的三个源组成的MEG模型进行逆计算。结果表明，该方法能很好地区分三个源，在信噪比为5时，估计误差小于1mm。所提出的方法是有用的估计多个源重叠的时间。
This paper describes a computer simulation study for estimating the multiple sources in the brain based on a three-dimensional measurement of magnetoencephalogram (3-D MEG). We propose a new source analysis method using spatio-temporal data of 3-D MEG and singular value decomposition analysis. The number of estimation sources is decided by the number of dominant singular values of spatio-temporal 3-D MEG data. The source localization is done as pattern matching by signal subspace of singular vectors and projection of an estimating source. In order to assess this algorithm, inverse calculation to the MEG model consisting of three sources located in the brain was performed. The results showed that three sources were dearly discriminated, and that the estimation error was less than 1 mm with SNR=5. The proposed method is useful for estimating multiple sources overlapping in time.