EEG motor imagery classification through a two-dimensional CNN-LSTM deep architecture and fuzzy decision-making.

This study presents a robust deep learning framework for automatic motor imagery detection from raw EEG signals. Six band-power features were extracted using STFT, and dedicated 2D CNN-LSTM models were trained for each band. Their outputs were fused…

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