An Efficient EEG-based System for Multi-Class Neurological Disorder Diagnosis using EMPA Optimized Bi-LSTM
Neurological illness detection using electroencephalograms (EEGs) is not an easy task due to the nature of brain signals, which are not stationary and noisy. In order to obtain the correct multi-class classification, the paper develops a hybrid deep learning framework that includes pre-processing, graph-based feature g...