https://github.com/un-gcpds/bci-framework

EEG acquisition and Stimuli delivery.
https://github.com/un-gcpds/bci-framework

bci neuroscience openbci psicology python

Last synced: about 2 months ago
JSON representation

EEG acquisition and Stimuli delivery.

• Host: GitHub
• URL: https://github.com/un-gcpds/bci-framework
• Owner: UN-GCPDS
• License: bsd-2-clause
• Created: 2020-06-11T15:01:18.000Z (over 4 years ago)
• Default Branch: master
• Last Pushed: 2023-06-27T04:02:11.000Z (over 1 year ago)
• Last Synced: 2024-04-21T10:30:50.495Z (9 months ago)
• Topics: bci, neuroscience, openbci, psicology, python
• Language: Python
• Homepage: https://bci-framework.readthedocs.io/en/latest/
• Size: 220 MB
• Stars: 8
• Watchers: 2
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: README.md
  • Changelog: CHANGELOG
  • License: LICENSE

Awesome Lists containing this project

README

        
> Developed by [Yeison Nolberto Cardona Álvarez](https://github.com/yeisonCardona)  

[Andrés Marino Álvarez Meza, PhD.](https://github.com/amalvarezme)  

César Germán Castellanos Dominguez, PhD.    

> _Digital Signal Processing and Control Group_  | _Grupo de Control y Procesamiento Digital de Señales ([GCPDS](https://github.com/UN-GCPDS/))_  

> _Universidad Nacional de Colombia sede Manizales_

----

# BCI-Framework

A distributed processing tool, stimuli delivery, psychophysiological experiments designer and real-time data visualizations for OpenBCI.

![GitHub top language](https://img.shields.io/github/languages/top/un-gcpds/bci-framework)

![PyPI - License](https://img.shields.io/pypi/l/bci-framework)

![PyPI](https://img.shields.io/pypi/v/bci-framework)

![PyPI - Status](https://img.shields.io/pypi/status/bci-framework)

![PyPI - Python Version](https://img.shields.io/pypi/pyversions/bci-framework)

![GitHub last commit](https://img.shields.io/github/last-commit/un-gcpds/bci-framework)

![CodeFactor Grade](https://img.shields.io/codefactor/grade/github/UN-GCPDS/bci-framework)

[![Documentation Status](https://readthedocs.org/projects/bci-framework/badge/?version=latest)](https://bci-framework.readthedocs.io/en/latest/?badge=latest)

BCI-Framework is an open-source tool for the acquisition of EEG/EMG/ECG signals, developed to work with [OpenBCI's Cyton board](https://shop.openbci.com/products/cyton-biosensing-board-8-channel?variant=38958638542), the main core of this software lies on [OpenBCI-Stream](https://openbci-stream.readthedocs.io/en/latest/index.html), a library designed to handle all the [low-level hardware features](https://docs.openbci.com/docs/02Cyton/CytonSDK) and extend the hardware capabilities with high-level programming libraries.

An optionally distributed paradigm for data acquisition and streaming is available to be implemented, this approach stabilizes the sampling rate on non-real-time acquisition systems and consists on delegate the board handle to a dedicated environ and stream out the data in real-time. [Write custom visualization](70-develop_visualizations.ipynb) for raw or processed time series and [design custom neurophysiological experiments](80-stimuli_delivery.ipynb) are the major features available in this application.

BCI-Framework comprises a graphical user interface (GUI) with a set of individual computational processes (distributed or in a single machine), that feed a visualization, serve a stimuli delivery, handle an acquisition, storage data, or stream a previous one (offline analysis). It has a built-in development environment and a set of libraries that the user can implement to create their specific functionality.

![](https://github.com/UN-GCPDS/bci-framework/blob/master/docs/source/notebooks/images/readme.gif)