Source localization using rational approximation on plane sections
Source localization using rational approximation on plane sections
复制标题
使用平面截面上的有理逼近进行源定位
DOI：
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发表时间：
2012
期刊：
影响因子：
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通讯作者：
T. Papadopoulo
中科院分区：
文献类型：
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作者：
Maureen Clerc;J. Leblond;Jean;T. Papadopoulo
在功能神经成像中，一个关键的问题是根据头部外的电磁测量知识，非侵入性地定位大脑内的活动来源。从边界测量中识别点源是一个不适定的逆问题。在脑电(EEG)的情况下，测量只在电极位置可用，源的数量事先不知道，并且头部内的介质是不均匀的。提出了一种基于复平面有理逼近技术的脑电源定位新方法。该方法用于嵌套球头模型的上下文中，与皮质映射过程相结合。在模拟数据上的结果证明了该方法在实际测量配置中的适用性。
In functional neuroimaging, a crucial problem is to localize active sources within the brain non-invasively, from knowledge of electromagnetic measurements outside the head. Identification of point sources from boundary measurements is an ill-posed inverse problem. In the case of electroencephalography (EEG), measurements are only available at electrode positions, the number of sources is not known in advance and the medium within the head is inhomogeneous. This paper presents a new method for EEG source localization, based on rational approximation techniques in the complex plane. The method is used in the context of a nested sphere head model, in combination with a cortical mapping procedure. Results on simulated data prove the applicability of the method in the context of realistic measurement configurations.