脑电信号源估计的粒子滤波和波束形成

The 2012 International Joint Conference on Neural Networks (IJCNN) Pub Date : 2012-06-10 DOI:10.1109/IJCNN.2012.6252516

P. Georgieva, L. Mihaylova, N. Bouaynaya, L. Jain

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引用次数: 5

摘要

这是一项概念验证工作，提出了一种解决脑电图源估计逆问题的方法，该方法结合了两种技术，即用于最活跃大脑区域(由两个偶极子表示)的几何(3D)定位的粒子滤波器(PF)和用于估计产生记录脑电图数据的振荡的波束形成器(BF)作为空间滤波器。对于不相关的脑源，该估计是可靠的。

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Particle filters and beamforming for EEG source estimation

This is a proof of concept work that proposes a solution to the inverse problem of EEG source estimation by combining two techniques, namely a Particle Filter (PF) for geometrical (3D) localization of the most active brain zones (expressed by two dipoles) and a beamformer (BF) as a spatial filter for estimation of the oscillations that have originated the recorded EEG data. The estimation is reliable for uncorrelated brain sources.

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The 2012 International Joint Conference on Neural Networks (IJCNN)

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