A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

Wearable (BLE) Brain-Computer Interface, ADS1299 and STM32 with SDK for mobile application

EEG Motor Imagery Tasks Classification (by Channels) via Convolutional Neural Networks (CNNs) based on TensorFlow

Analyze and manipulate EEG data using PyEEGLab.

The decoding of continuous EEG rhythms during action observation (AO), motor imagery (MI), and motor execution (ME) for standing and sitting. (IEEE Sensors Journal)

Machine learning for Anonymous detection of an alcoholic by EEG signals

EEG Features to be extract from raw data.

Single trial EEG pipeline at the Abdel Rahman Lab for Neurocognitive Psychology, Humboldt-Universität zu Berlin

Brain Control Interface based smart wheelchair. Actions include start, turn left, right, stop with your brain and eye blinks

Function to calculate consistency of phase at a given frequency across measurements

🎧 Muse - The brain sensing headband plus attention level

In this project, we address the problem of eye-blink detection and analysis of left and right human eye blinks using EEG signals with help of Neurosky Mindwave Mobile. The purpose of this project is to monitor and understanding of eye blinks for proper communication with a person

This project is an RC Car that can be controlled through facial movements picked up by an OpenBCI EEG device.

Method for comparing 'dissimilarity' between two datasets

A Python package for seamless communication with Neurosky MindWave Mobile 2 headset.

maintainance of the code for complex network analysis based modeling of Event Related Potential (ERP) electroencephalography (EEG) data from baby brain, can be applied to other data, including human brain.

Python code for decoding EEG motor imagery conditions using a convolutional neural network.

Draw periodogram of real EEG data