Abstract:Objectives: To develop an improved version of Differential Evolution (DE) algorithm to overcome the complexity in extracting the features from the Electroencephalogram (EEG) based Brain-Computer Interfaces (BCI) systems; To develop a Stacked Auto Encoder (SAE) for classifying motor imagery signals into left, right, feet and tongue movements, respectively. Methods: Improved Differential Evolution Optimization Algorithm (IDEOA) is proposed for the selection of features which is extracted by the hybrid CSP-CNN fe… Show more
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