Beamspace magnetoencephalographic signal decomposition in spherical harmonics domain.

Beamspace magnetoencephalographic signal decomposition in spherical harmonics domain.
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球谐域中的波束空间脑磁信号分解。

DOI:
10.1109/iembs.2006.260699
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发表时间:
2006
期刊:
Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
影响因子:
--
通讯作者:
Sclabassi,RobertJ
Sclabassi,RobertJ
中科院分区:
--
文献类型:
--
作者:
Ozkurt,TolgaE;Sun,Mingui;Sclabassi,RobertJ

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The recently proposed signal space separation (SSS) method can transform the multichannel magnetic measurements of brain (MEG) into parts that correspond to inner sources and undesired external interferences. In this paper, we extend this method by decomposing the signal into deep and superficial regions. This is realized by manipulating the SSS coefficients using a scheme that exploits beamspace methodology. It relies on estimating a linear transformation which maximizes the power of the source space of interest over the power of remaining part. We demonstrate that this method yields a simple and direct way to decompose the signal into deep and/or superficial parts
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