https://github.com/lched/muse_tools
Python scripts/tools to work with LSL streams and XDF files, especially for the Muse2 EEG Headband.
https://github.com/lched/muse_tools
eeg lsl muse osc
Last synced: 6 months ago
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Python scripts/tools to work with LSL streams and XDF files, especially for the Muse2 EEG Headband.
- Host: GitHub
- URL: https://github.com/lched/muse_tools
- Owner: lched
- License: mit
- Created: 2023-06-14T16:48:11.000Z (over 2 years ago)
- Default Branch: main
- Last Pushed: 2023-08-15T14:25:20.000Z (about 2 years ago)
- Last Synced: 2025-03-24T17:01:58.579Z (7 months ago)
- Topics: eeg, lsl, muse, osc
- Language: Python
- Homepage:
- Size: 29.3 KB
- Stars: 4
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: readme.md
- License: LICENSE
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# Muse tools
This repository contains scripts to work with the Muse2 EEG headband made by Interaxon. A lot of things should work with other EEG setups as well but have not been tried.
## Muse-to-OSC
This script captures the data coming from all the LSL streams and send them in a network using the OSC protocol. Most of the channels are identical to the ones used by [Mind Monitor](https://mind-monitor.com/FAQ.php#Compatibility).
## LSL stream emulator
These scripts stream data stored in XDF format using the LSL protocol. Handy when you want to test things without the headband ;)
The icon comes from https://commons.m.wikimedia.org/wiki/File:Assessment_brain_icon.png
## Viewer
This is the Version 2 viewer from https://github.com/alexandrebarachant/muse-lsl, I just modified a few things for convenience.
:warning: All of the data (except the raw signals) are re-computed and *do not come from the official Muse SDK*. Although the calculations are not very heavy, it's not optimal, but it does have the advantage of 1/ being very easy to use 2/ being customizable.