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Deep learning in motor imagery EEG signal decoding: A Systematic Review
Thanks to the fast evolution of electroencephalography (EEG)-based brain-computer
interfaces (BCIs) and computing technologies, as well as the availability of large EEG …
interfaces (BCIs) and computing technologies, as well as the availability of large EEG …
Novel linear and nonlinear features for the analysis of dynamic brain functional connectivity
Dynamic functional connectivity (dFC), estimating changes in the brain interaction, has been
employed as a sensitive biomarker for identifying neurological and psychological disorders …
employed as a sensitive biomarker for identifying neurological and psychological disorders …
Enhancing EEG motor imagery decoding performance via deep temporal-domain information extraction
Q Yang, M Yang, K Liu, X Deng - 2022 IEEE 11th Data Driven …, 2022 - ieeexplore.ieee.org
Electroencephalography (EEG) based motor imagery Brain-Computer Interface (MI-BCI) has
been widely applied in constructing a pathway between human brains and external …
been widely applied in constructing a pathway between human brains and external …
A survey of electroencephalography open datasets and their applications in deep learning
A Nogales, Á García-Tejedor - 2022 - researchsquare.com
Artificial intelligence is directly linked to data. Depending on the structure, we can classify
data into different categories. The medical field encompasses them by considering various …
data into different categories. The medical field encompasses them by considering various …