Electrophysiological data processing widgets for Orange 3 based on the MNE for Python library.
Project description
MNE Widgets for Orange 3 is a python package, that provides methods from MNE for Python for Orange 3 in a form of widgets, to allow for electrophysiological data processing.
Note: This library was created as a part of the master's thesis to show that it is possible to use Orange 3 as a workflow management system for electrophysiological data processing. The widgets' functionality was verified on three existing experiments. Nevertheless, the library requires further development.
Installation
- The installation process is quite straightforward, first we need to install the Orange 3 tool:
Note: If you have Orange 3 already installed, you can skip this step and continue to step 2.
virtualenv orange # Create a virtual environment ./orange/Scripts/activate # Activate the environment (source ./orange/Scripts/activate for linux) pip install Orange3 PyQt5 # Install Orange 3 and PyQt library
- Then run Orange:
python -m Orange.canvas
- In Orange navigate to Options -> Add-ons
- Click on
Add more...
and enter the package name:Orange3-MNE
- Confirm the settings and Orange will install the library
- Restart Orange and the electrophysiological data processing library will be available
User's guide
The documentation on how to use Orange 3 is available on its homepage.
The documentation to widgets in this library can be found here.
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