Skip to main content

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

Project description

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 therefore 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.

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

eegsynth-0.8.0.tar.gz (178.5 kB view details)

Uploaded Source

Built Distribution

eegsynth-0.8.0-py3-none-any.whl (346.5 kB view details)

Uploaded Python 3

File details

Details for the file eegsynth-0.8.0.tar.gz.

File metadata

  • Download URL: eegsynth-0.8.0.tar.gz
  • Upload date:
  • Size: 178.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for eegsynth-0.8.0.tar.gz
Algorithm Hash digest
SHA256 9217db737e491430d2397333614f35ac06c99a906588e16ac6c64d64bec3a53c
MD5 e80d7f0cf1d4b70a83f718a5a2379125
BLAKE2b-256 82922069ecc83c974677bfc3dc9023297ad5da082e8f6716693997413c0ffc96

See more details on using hashes here.

File details

Details for the file eegsynth-0.8.0-py3-none-any.whl.

File metadata

  • Download URL: eegsynth-0.8.0-py3-none-any.whl
  • Upload date:
  • Size: 346.5 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? Yes
  • Uploaded via: twine/5.1.1 CPython/3.12.6

File hashes

Hashes for eegsynth-0.8.0-py3-none-any.whl
Algorithm Hash digest
SHA256 69fe8e15130bdeca7aec721860e598d5a8352dcd48cc2f1f06930ebf2a963094
MD5 160645b0e057306292c66ba27bfa6f06
BLAKE2b-256 03d5804c7125fb708f085fdac2c5296d922f65d12a8a7a74d4c675f1b01bebdf

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page