Electroencephalography (EEG) is a non-invasive method for recording electrical activity in the brain, first performed on humans by Hans Berger in 1924 (Berger, 1929).
Console applications for calculating EEG parameters.
Project for Advanced Authentic Research (AAR).
This project showcases the development of an EEG-controlled 4DOF Robotic Arm using the STM32f103c8t6 microcontroller (Blue Pill). The arm is designed to perform basic movements controlled by EEG signals, making it suitable for assistive technologies and prosthetic applications.
Software for EEG BCI communication, along with companion IOS app.
A middleware software for easier, more efficient and more powerful BCI development
Collecting data from different sensors
Souce code for real-time acquisition of EEG signals from the Biosemi Active Two device, EMG signals from the Delsys Bagnoly device, and Motion tracker position signals from the Polhemus Liberty device.
A Transformer-based neural network that decodes movement intentions in real time from EEG, EMG, and IMU signals. It classifies intended actions and sends control signals to external actuators, such as robotic arms or electrical muscle stimulation systems.
A project about sonification and visualization of brain waves
Luna software for sleep EEG analysis (base)
Low Cost Electroencephalogram Based Brain-Computer-Interface
An open software package to develop BCI based brain and cognitive computing technology for recognizing user's intention using deep learning