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Motor Imagery EEG Signal Classification Using Random Subspace Ensemble Network

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# 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.

1. Matlab-based baseline for EEG classification. `(minimal matlab)`

2. Classification of motor imagery EEG signals with multi-input convolutional neural network by augmenting STFT. [[IEEE]](https://ieeexplore.ieee.org/document/8975578) [[PDF]](https://www.researchgate.net/publication/335241301_Classification_of_Motor_Imagery_EEG_Signals_with_multi-input_Convolutional_Neural_Network_by_augmenting_STFT) *Notebooks:* `(STFT_CNN_benchmark.ipynb, bci_4_tl_sub1.ipynb, bci_4_tl_sub2.ipynb)`

3. Motor Imagery EEG Classification Using Random Subspace Ensemble Network with Variable Length Features. [[Google Scholar]](https://scholar.google.com/citations?view_op=view_citation&hl=en&user=Fd1-G4YAAAAJ&citation_for_view=Fd1-G4YAAAAJ:eQOLeE2rZwMC) [[PDF]](https://www.researchgate.net/publication/350403311_Motor_Imagery_EEG_Classification_Using_Random_Subspace_Ensemble_Network_with_Variable_Length_Features) *Notebooks:* `(result.ipynb, result_all.ipynb, result_rsenet.ipynb, result_rsenet_all.ipynb, visualization.ipynb)`

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