TD-LSTM: a time distributed and deep-learning-based architecture for classification of motor imagery and execution in EEG signals

One of the critical challenges in brain-computer interfaces is the classification of brain activities through the analysis of EEG signals. This paper seeks to improve the efficacy of deep learning-based rehabilitation systems, aiming to deliver superior services for individuals with physical disabil...

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