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README.md

The EEGsynth is a Python codebase released under the GNU general public license that provides a real-time interface between (open-hardware) devices for electrophysiological recordings (e.g. EEG, EMG and ECG) and analogue and digital devices (e.g. MIDI, lights, games and analogue synthesizers). The EEGsynth allows one to use electrical activity recorded from the brain or body to flexibly control devices in real-time, i.e. (re)active and passive brain-computer-interfaces (BCIs), biofeedback and neurofeedback.

Since December 2018, the EEGsynth is registered as a legal Association with the French authorities.

Documentation

The EEGsynth code and documentation are hosted on Github and organized as follows:

  • bin contains binaries for the buffer and for some EEG systems
  • doc contains the documentation on the EEGsynth software
  • hardware contains the hardware documentation
  • lib contains some libraries
  • module contains the EEGsynth modules
  • patches contains patches for performances

Disclaimer

The EEGsynth does not allow diagnostic investigations or clinical applications. It also does not provide a graphical user interface for offline analysis. Rather, the EEGsynth is intended as a collaborative interdisciplinary open-source and open-hardware project that brings together programmers, musicians, artists, neuroscientists and developers in scientific and artistic exploration.

Although there are plans to make it more 'plug-and-play', the EEGsynth currently has to be run from the command line, using Python and Bash scripts, and is therefor not friendly for those not familiar with such an approach.

Collaborate and get more information

When you start an project with the EEGsynth, consider doing it together with in a group of people that have knowledge and experience complimentary to yours, such as in electrophysiology, neuroscience, psychology, programming, computer science or signal processing.

More information can be found at our website. Follow us on Facebook and Twitter, and check our past and upcoming events on our calendar. Please feel free to contact us via our contact form.

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Converting real-time EEG into sounds, music and visual effects

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