论文标题
大脑来源通过交替投影定位
Brain Source Localization by Alternating Projection
论文作者
论文摘要
我们提出了一种新的解决方案，以解决定位磁脑电图（MEG）和脑电图（EEG）脑信号的问题。该解决方案是顺序且迭代的，并且基于通过交替投影算法最小化最小二乘标准的基础。来自人类受试者的模拟和实验性MEG数据的结果表现出了稳健的性能，比属于波束形式和多信号分类（音乐）家族的扫描方法始终具有优越的定位精度。重要的是，所提出的解决方案对于由头部旋转和翻译引起的模型误差更为强大，在高度相关的来源中具有显着优势。
We present a novel solution to the problem of localizing magnetoencephalography (MEG) and electroencephalography (EEG) brain signals. The solution is sequential and iterative, and is based on minimizing the least-squares criterion by the Alternating Projection algorithm. Results from simulated and experimental MEG data from a human subject demonstrated robust performance, with consistently superior localization accuracy than scanning methods belonging to the beamformer and multiple-signal classification (MUSIC) families. Importantly, the proposed solution is more robust to forward model errors resulting from head rotations and translations, with a significant advantage in highly correlated sources.
