Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG.

Real-time modeling and 3D visualization of source dynamics and connectivity using wearable EEG.
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DOI：
10.1109/embc.2013.6609968
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发表时间：
2013
期刊：
Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference
影响因子：
--
通讯作者：
Jung TP
Jung TP
中科院分区：
其他
文献类型：
--
作者：
Mullen T;Kothe C;Chi YM;Ojeda A;Kerth T;Makeig S;Cauwenberghs G;Jung TP
来源链接：
https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4119601/?report=classic

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本报告总结了我们最近在实时数据提取、预处理、伪影抑制、源重构、多变量动态系统分析（包括光谱格兰杰因果关系）和3D可视化以及在开源SIFT和BCILAB工具箱中的分类方面所做的努力。我们报道了这种管道在一种新型可穿戴高密度（64通道）干式脑电图系统中模拟数据和真实脑电图数据的应用。
This report summarizes our recent efforts to deliver real-time data extraction, preprocessing, artifact rejection, source reconstruction, multivariate dynamical system analysis (including spectral Granger causality) and 3D visualization as well as classification within the open-source SIFT and BCILAB toolboxes. We report the application of such a pipeline to simulated data and real EEG data obtained from a novel wearable high-density (64-channel) dry EEG system.