A new spectral-temporal deep learning framework reached 0.8469 accuracy on a fixed Sleep-EDF test partition while flagging ...
A systematic review maps how deep learning architectures are transforming EEG analysis for neurological disease diagnosis, ...
Electroencephalography (EEG) is a fascinating noninvasive technique that measures and records the brain's electrical activity. It detects small electrical signals produced when neurons in the brain ...
Researchers develop a novel topology-aware multiscale feature fusion network to enhance the accuracy and robustness of EEG-based motor imagery decoding Electroencephalography (EEG) is a fascinating ...