iTa-DFiE: An Innovative Tensor Algebra-Based Detection Framework for Incomplete Noninvasive Electroencephalography
Ngoc Anh Thi Nguyen,
Quang-Bang Tao,
Hyung-Jeong Yang
et al.
Abstract:The paper presents a novel recognition framework for incomplete noninvasive Electroencephalography (EEG) signals relying on the recent advances in tensor algebra, named as An Innovative Tensor Algebra -based Detection Framework for Incomplete Noninvasive Electroencephalogra-phy (iTa-DFiE). iTa-DFiE is motivated to improve the diagnostic performance by tackling the major problems shared by a variety of noninvasive EEG-based Brain-Computer Interfaces (BCIs) application is tensorial structured time series with oc… Show more
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