Wednesday, April 04, 2012

Open Source Software For EEG

This message shows 3 open-source software for EEG analysis from a number of developers that have contributed to the OpenEEG community under free licenses.

First we have the OpenVibe, the open-source software for BCIs created by a consortium of academic and industrial partners. As written in their site:
"(...) The aim of the OpenViBE consortium was to develop open-source software for brain-computer interfaces, which is expected to promote and accelerate research, development and deployment of BCI technology. Key features of the resulting software are its modularity, its high performance, its multiple-users facilities and its connection with high-end virtual reality displays. (...)"

This software can run under Windows and Linux and it have a user-friendly graphical language to design a BCI without writing any line of code. It have also the possibility to use a set of software modules written in C++.

The second software is BrainBay that allows the graphical design for realtimeprocessing, display, storage and visual and acoustic feedback of biosignals and is being developed by Christoph Veigl and Jeremy Wilkerson. 

It supports Human-Computer-Interface functions and the NeuroServer Software Framework to transmit live recordings via Internet / LAN.

Finally the third software named BioEra. It have a visual designer that can be used to analyse signals in real time. The manufacturer says:
"(...) BioEra provides environment and tools to create various types of processing tasks. It can be used for research, games, self exploration, entrainment, sound processing and many others. Each task is contained in a design. To create a design no programming skill is required, only understanding of the process and its requirements.(...)"

The BioEra free version has all features available in BioEra Pro, but after 2 weeks since installation the design can be started only for 1 minute at a time.

For more informations about BCI/EEG press here.


  1. hi..Im student from Informatics engineering, this article is very informative, thanks for sharing :)

  2. hi sir i am pg scholr and currently working on the EEG classification and advanced processing please recommended me tools for that