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New beamformers for waveform reconstruction of the correlated EEG sources

机译:用于相关EEG源波形重建的新型波束形成器

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This paper presented a method which may reasonably accurately reconstruct time courses of the correlated sources. This method first uses estimates of the source locations to construct a transformation, which removes the correlated interfering sources while retaining the desired sources. Conventional adaptive beamformers is then performed on the transformed data containing only desired sources to obtain accurate source time course estimates. Repeatedly applying the method to each of the correlated sources can accurately reconstruct all the source time courses. Theoretical analysis shows that the proposed method can remove the leakage from the other correlated sources and thus, obtain accurate source time courses estimates. Numerical experiments show that, compared to the conventional adaptive beamformers, the proposed method can reconstruct the source time courses without distortions.
机译:本文提出了一种可以合理准确地重建相关源时程的方法。该方法首先使用对源位置的估计来构建转换,该转换将在保留所需源的同时删除相关的干扰源。然后,对仅包含所需源的变换数据执行常规的自适应波束形成器,以获得准确的源时程估计。将该方法重复应用于每个相关的源可以准确地重建所有源时间过程。理论分析表明,该方法可以消除其他相关源的泄漏,从而获得准确的源时程估计。数值实验表明,与传统的自适应波束形成器相比,该方法可以在不失真的情况下重构源时程。

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