Using the Partial Directed Coherence to Assess Functional Connectivity in Electroencephalography Data for Brain-Computer Interfaces.

IEEE Transactions on Cognitive and Developmental Systems(2018)

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摘要
In this paper, we propose a statistical selection procedure by which various mental tasks can be characterized by specific brain functional connectivity. Different connectivity patterns are identified by the partial directed coherence (PDC) which is a frequency-domain metric that provides information about directionality in the interaction between signals recorded at different sensors. The basis o...
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关键词
Electroencephalography,Coherence,Sensors,Feature extraction,Brain modeling
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