semvec/pypi-packages huggingface dataset:
bci-framework 1.3.2
A real-time tool for acquisition, analysis and stimuli delivery for OpenBCI.
License: BSD-2-Clause
Requires Python: >=3.8

> 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_

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# BCI-Framework

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

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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)