Chen, Junfu, Dechang Pi, Xiaoyi Jiang, Yue Xu, Yang Chen, and Xixuan Wang. "Denosieformer: ATransformerbased Approach for Single-Channel EEG Artifact Removal." IEEE Transactions on Instrumentation and Measurement (2023). 简单总结本文做了什么 作者提出了一种基于Transformer的模型用来去除EEG中的伪迹...
Disclosed is a multi-mode beam former, comprising a device for receiving a multi-mode input signal, and a device for constructing an optimization model and solving the optimization model to obtain a beam-forming weight coefficient for performing linear or non-linear combination on the multi-mode ...
Matlab代码用于EEG / MEG数据中的LDA波束成形 数据驱动的波束成形 线性判别分析(LDA)是一种流行于事件相关电位(ERP)解码的分类器。 除此之外,这表明LDA还可以用作空间滤波器,以推导EEG和MEG中脑源的时间序列。 实际上,LDA在数学上等效于LCMV波束成形。 两种方法的区别仅在于提取空间图案的方式不同(见图)。 LDA...
Beamforming is a popular method for functional source reconstruction using magnetoencephalography (MEG) and electroencephalography (EEG) data. Beamformers, which were first proposed for MEG more than two decades ago, have since been applied in hundreds of studies, demonstrating that they are a ver...
Väisänen ORM, Malmivuo JA (2010) Comparison between weighted multielectrode leads and beamformers in improving the SNR of EEG generated by deep EEG sources. In: 29th International Congress of Clinical Neurophysiology, 28 Oct–1 Nov 2010, Kobe, Japan. Clin Neurophysiol 121(Supplement 1)...
Disclosed is a multi-mode beam former, comprising a device for receiving a multi-mode input signal, and a device for constructing an optimization model and solving the optimization model to obtain a beam-forming weight coefficient for performing linear or non-linear combination on the multi-mode ...
Localization of coherent sources by simultaneous MEG and EEG beamformer. Med. Biol. Eng. Comput. 2013, 51, 1121-1135.Hong J. H., Ahn M., Kim K., Jun S. C. (2013). Localization of coherent sources by simultaneous MEG and EEG beamformer. Med. Biol. Eng. Comput. 51 1121–1135 ...
MEG/EEG beamformer source imaging is a promising approach which can easily address spatiotemporal multi-dipole problems without a priori information on the number of sources and is robust to noise. Despite such promise, beamformer generally has weakness which is degrading localization performance for ...
EEGsource localizationDICS beamformerdorsal-ventral pathwayIn performing a gaming task,mental rotation(MR)is one of the important aspects of visuospatial processing.MR involves dorsal-ventral pathways of the brain.Visual objects/models used in computer-games play a crucial role in gaming experience of...
Beamformer making visible the invisible in EEG and TMS-EEG dataJulio C HernandezPavon