Huang-art's repositories
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test
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BCI_MI_Wavelet_CNN
Using wavelet transform to extract time-frequency features of motor imagery EEG signals, and classify it by convolutional neural network
Language:Jupyter NotebookMIT000
CNN-MI-BCI
CNN-SAE program for MI-BCI classification. (Based on "Tabar et al-2016-J Neural Eng. A novel deep learning approach for classification of EEG motor imagery signals")
Language:MATLABNOASSERTION000
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mne-python
MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
Language:PythonBSD-3-Clause000