This is an old personal repository, please checkout here : https://github.com/fcbg-hnp/eeg-timeFreqToolbox
Development of Time-Frequency module for EEG signal processing, using the library MNE and Qt.
You must have python 3 installed.
To install the dependencies required for this application, run the line pip install -r requirements.txt
To launch the app, simply run the run_app.py file.
For now, the app can only treat the data to display the power spectrum density of raw eeg files, and epoched eeg files, with the formats .fif, .sef, .ep and .eph.
After building the docker image with the dockerfile, you can run the app with the line : sudo docker run -it -v /tmp/.X11-unix:/tmp/.X11-unix -v /datapath:/data -e DISPLAY=unix$DISPLAY myapp on Ubuntu.
First import your file which can be either a raw file (format *.fif or *.sef), or epoched data (format .epo-fif).
The application also comes with an handy tool to process raw data files into epochs data with the help of a marker file (of format *.mrk). Just click on the Cut into Epochs button, and save your epochs data as a *-epo.fif file.
For the topomaps plot you can either choose premade electrode setting from mne (If your file comes with corresponding 1005 or 1020 system names), or import the *.xyz file containing the 3D coordinates of the data in the electrode labeling menu.
Then you have two choice of data visualization :
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PSD (Power Spectrum Density) : Which computes the power spectrum density of the signal. You can display the results either in the form of a matrix (Simple plot of individual Channels by Frequencies), or as a topomap (Power of electrode represented on the scalp). It is also possible to run across the different epochs if the file is epoched data.
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Average TFR (Average Time-Frequency) : Which computes the time-frequency representation of the signal averaged over epochs. This feature only works on epoched data. You can either display the results on regular time-frequency representation (Time by Frequency), or displays it in differents ways channels by frequencies, or channels by time.
You can easily import parameters using the import button in the app. The parameters are setup in a simple txt file, in the following way :
param_id = value or param_id = value1, value2, ... if several values are expected.
Check here for a detailed description of parameters : Click Here !