Victoria Peterson vpeterson

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1. Python codes for applying OTDA in MI-BCI

   Jupyter Notebook 11 1

2. You will find here the raw EEG and EMG data acquired by using the OpenBCI kit, as well as the OpenViBE scenarios and the Matlab Codes used for the protocol display and post-processing, respectively.

   MATLAB 9

3. You can find a brief start guide tutorial about using OpenBCI together with OpenVIBE for P300 speller paradigm, the matlab function to convert ov files to mat files and a function for extract EEG t…

   MATLAB 5

4. You will find the gslda Matlab codes that have been implemented in the paper "Generalized sparse discriminant analysis for event related potential classification"

   MATLAB 2 2

5. Forked from mne-tools/mne-python

   MNE : Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python

   Python