The EEGsynth
I completed the first Arduino based controller. It has a single control voltage and a single gate, both directly wired to a male 3.5mm connector. Using serial commands over the USB connection, it allows specifying the control voltage between 0 and 5V(*), and the binary gate value (TTL logic). *) although the design was meant […]
With my first post on the Arduino based CV/Gate controller I implemented a single control channel using a single DAC. Now, using four TI LF398 sample-and-hold ICs, I multiplexed the DAC output into four control channels. I updated the Arduino sketch and managed to control all four outputs independently. However, something that I overlooked is […]
I wrote some code that wraps the serial interface and the control commands of the Arduino CV/Gate into a MATLAB class. I used the following example code in MATLAB to benchmark the speed. a = cvgate(‘/dev/tty.usbserial-AH01DRO4’, 115200); a.voltage = 0; a.gate = 0; c = 0; t = tic; while true a.voltage = 5 * […]
We had our first EEG-Synthesizer jam with a smoothly working setup! Quite a milestone! In the following video and SoundCloud recordings (removed), you hear several interesting and evocative synthesizer patches created by Jean-Louis that are fully controlled in real-time by the EMG signals from my hand and arm. So in fact, during the recordings Jean-Louis was […]
The EEG signal processing, classification and the translation into a control signal is done on a computer. This means that the computer needs to be able to send control signals to the synthesizer. There are in general two options for interfacing with a synthesizer: Midi and CV/Gate. Midi is a digital protocol over a serial […]
During our work meeting in Athens, we explored and tested the EEG-synth: EEG recordings controlling analogue synthesizers. What follows is a summary of how we solved the main technical and practical issues we encountered and those that still need to be dealt with. More about the output of the meeting will come in the next […]
I compiled the openbci2ft application on the Raspberry Pi without any problem. The openbci2ft application interfaces the OpenBCI board with the FieldTrip buffer, which is a network transparent interface to real-time EEG data and which supports MATLAB, Python, Java and C/C++ interfaces to the data stream. The openbci2ft application is implemented as ANSI-C application, as […]
Yesterday my 32-bit OpenBCI board arrived. Today I have been working most of the day to get it to work with FieldTrip, which is my preferred rapid application development and data analysis platform based on MATLAB. OpenBCI comes with some example software. I was able to get the Processing example application up and running in […]
We are targeting the development at affordable EEG hardware and specifically have the OpenBCI system in mind. A 3D printed headset has been constructed in the OpenBCI project, but that is not (yet) easily available. Hence I am currently exploring some ideas for electrode attachment on my own. Although easy to put on, a hard-plastic headset is not trivial to […]
To record EEG data we will use the OpenBCI project’s 8bit board The OpenBCI board comes with a Bluetooth dongle based on the RFduino. Processing of EEG data will be done using the Raspberry Pi B+ The Raspberry Pi B+ will be connected to an HDMI monitor for the GUI as well a mini MIDI controller (e.g. the Novation […]
I registered on GitHub, and created a repository to share our developing code. For now I just tested it by uploading the lastest OpenBCI python code. You can find the repository here.