Overall, there is a clear trend toward integrating advanced time–frequency analysis, attention mechanisms, and deep learning architectures to make EEG systems more accurate, generalizable, and easier to interpret.
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Multivariate synchrosqueezing transform and time-frequency attention for mental workload classification from EEG signals.
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