To Explore the Potentials of Independent Component Analysis in Brain-Computer Interface of Motor Imagery.
IEEE Journal of Biomedical and Health Informatics(2020)
摘要
This paper is focused on the experimental approach to explore the potential of independent component analysis (ICA) in the context of motor imagery (MI)-based brain-computer interface (BCI). We presented a simple and efficient algorithmic framework of ICA-based MI BCI (ICA-MIBCI) for the evaluation of four classical ICA algorithms (Infomax, FastICA, Jade, and Sobi) as well as a simplified Infomax ...
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关键词
Electroencephalography,Electrodes,Classification algorithms,Spatial filters,Scalp,Standards
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