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Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review

Hamdi Altaheri, Ghulam Muhammad, Mansour Alsulaiman, Syed Umar Amin, Ghadir Ali Altuwaijri, Wadood Abdul, Mohamed A. Bencherif, Mohammed Faisal

2021Neural Computing and Applications566 citationsDOI

Topics & Concepts

Brain–computer interfaceElectroencephalographyComputer scienceMotor imageryPreprocessorArtificial intelligenceDeep learningVisualizationInterface (matter)Machine learningPattern recognition (psychology)PsychologyNeuroscienceParallel computingBubbleMaximum bubble pressure methodEEG and Brain-Computer InterfacesAdvanced Memory and Neural ComputingNeuroscience and Neural Engineering
Deep learning techniques for classification of electroencephalogram (EEG) motor imagery (MI) signals: a review | Litcius