Today, I released the first version of PyBCI that should be compatible for Linux.
This version is hardly tested - the Windows version should be more stable.
Especially the signing part (GLUT) is still not working very well under Linux. At least, you should already be able to get some data arrays. :)
...in the last version of PyBCI, the DLLs were missing - I fixed that and released PyBCI_0.4r.
Today, I released PyBCI 0.4 - besides of minor bug corrections, the code for giving signs has been definitely improved now with the C++ mode as the main signing mode and another possible mode using PyOpenGL.
Additionally, it is now possible to show bitmap signs (up to now, just the letters 'R', 'L', 'r' and 'l' on a grey background) in the C++ mode.
The PyBCI documentation is now online as the official webpage
Today, I released PyBCI 0.3.
The major changes are:
- improved code with minor bug corrections
- enlarged examples with a new example 'frequency ticker' (see documentation)
- the main signing functions are now written in Python (Tkinter) instead of C++
- additionally user adjustable (configuration file) are now:
- returning speed of the data
- background and sign color
- size of the signing window... read more
Today, I have released PyBCI_0.2.
With this release, it is now possible to estimate and remove (EOG) artefacts from the data.
----- Please note that this correction module should be working, but its usage is still not tested during a 'real' experimental situation! -----
Your experiences could be very valuable.
Additionally, I have created a tool folder, including the (original) ConfigHelper
and (new) the EyemoveCorrector as well as an example folder, containing an usage and an eog artefact calibration/rejection example.
There is a GIT repository available now in order to provide better code management.
Please feel free to mail me if you want to be part of the 'PyBCI developers' so I can grant you the rights to write into the repository.
I will also leave a message in the Developers Forum with a short explanation how to use this repository.
Now it is possible to download both the usuable PyBCI module and the source code (either Python or C++ code).
This release is still pretty 'raw', but it should be working...
There is also documentary available to explain the detailed installation as well as usage information of PyBCI.
In the README file you can find hints of what to download - this is also explained in the downloadable PyBCI documentary.... read more
Up to now, these are just the very beginning steps into sourceforge for this project.
The goal of this project is to develop a Python module/tool, that is able to read EEG signals online, making some kind of 'basis tool' to evaluate data while receiving it.
Feel free to download the very first version of PyBCI - it should be working, although there may be problems, because it is still in a pretty 'raw' stadium. I would really welcome and appreciate:... read more