The Octupus Neurofeedback is coded in Python 3 using PyQt5 and uses signals from the brain vision actiCHamp Remote Data Access functionality.
This program is used for reading EEG data and plotting/ processing it. This can be used as a basis for neurofeedback only if 50-100 ms of delay (caused by RDA) is acceptable (go here for an explanation).
If you are using an EEG amplifier by Brain Products and would like to set up a live data analysis, visualization or neurofeedback paradigm then this repository may help you as an entry point. However, I want to disclose that some programming knowledge in python is necessary to customize the code to meet your needs.
- Install Anaconda/Miniconda 2 or 3
- create environment using requirements.txt:
conda create --name octo --file requirements.txt - Activate the environment:
conda activate octo - Clone this repository using
git clone https://github.com/LukeTheHecker/octopus.gitor download the ZIP file. - go to the cloned directory using
cd octopus - Execute the
main.pyfrom your conda environment:
conda activate octo
python main.py
Octopus icon made by Freepik from Flaticon.
Lukas Hecker (mailto:lukas_hecker@web.de)
Marianne Hense
Department of Psychosomatic Medicine and Psychotherapy
Medical Faculty Medical Center – University of Freiburg,
Freiburg, Germany
Special thanks goes to Bial Foundation for funding the corresponding project.