Motor Imagery EEG Classification Using Random Subspace Ensemble Network with Variable Length Features
Running Matlab Scripts: https://youtu.be/AeRMO98-URc
This is a codebase for motor imagery EEG experiments for three projects.
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Matlab-based baseline for EEG classification.
(minimal matlab) -
Classification of motor imagery EEG signals with multi-input convolutional neural network by augmenting STFT. [IEEE] [PDF] Notebooks:
(STFT_CNN_benchmark.ipynb, bci_4_tl_sub1.ipynb, bci_4_tl_sub2.ipynb) -
Motor Imagery EEG Classification Using Random Subspace Ensemble Network with Variable Length Features. [Google Scholar] [PDF] Notebooks:
(result.ipynb, result_all.ipynb, result_rsenet.ipynb, result_rsenet_all.ipynb, visualization.ipynb)