Patients suffering from severe depression may be precisely assessed using online EEG
categorization and their progress tracked over time, minimizing the risk of danger and
suicide. Online EEG categorization systems, on the other hand, suffer additional challenges
in the absence of empirical oversight. A lack of effective decoupling between brain regions
and neural networks occurs during brain disease attacks, resulting in EEG data with poor
signal intensity, high noise, and nonstationary characteristics. CNN employs momentum …

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